A B C D E F G H I J K L M N O P Q R S T U V W X Y Z

A

abs() - Method in class hephysics.particle.LParticle
Magnitude
abs() - Method in class hephysics.vec.Hep3Vector
Magnitude
abs(double[]) - Static method in class jhplot.math.ArrayMathUtils
Takes the absolute value of each component of an array.
abs(double[][]) - Static method in class jhplot.math.ArrayMathUtils
Takes the absolute value of each component of an array.
abs(int[]) - Static method in class jhplot.math.ArrayMathUtils
Takes the absolute value of each component of an array.
abs(int[][]) - Static method in class jhplot.math.ArrayMathUtils
Takes the absolute value of each component of an array.
ABS - Static variable in class org.apache.commons.math.analysis.ComposableFunction
The FastMath.abs method wrapped as a ComposableFunction.
abs() - Method in class org.apache.commons.math.complex.Complex
Return the absolute value of this complex number.
abs() - Method in class org.apache.commons.math.fraction.BigFraction
Returns the absolute value of this BigFraction.
abs() - Method in class org.apache.commons.math.fraction.Fraction
Returns the absolute value of this fraction.
abs(int) - Static method in class org.apache.commons.math.util.FastMath
Absolute value.
abs(long) - Static method in class org.apache.commons.math.util.FastMath
Absolute value.
abs(float) - Static method in class org.apache.commons.math.util.FastMath
Absolute value.
abs(double) - Static method in class org.apache.commons.math.util.FastMath
Absolute value.
AbstractBaseHistogram - Class in hep.aida.ref.histogram
 
AbstractBaseHistogram(String, String, int) - Constructor for class hep.aida.ref.histogram.AbstractBaseHistogram
Creates a new instance of BaseHistogram.
AbstractBaseHistogram() - Constructor for class hep.aida.ref.histogram.AbstractBaseHistogram
 
AbstractBaseHistogram(String, String, int, String) - Constructor for class hep.aida.ref.histogram.AbstractBaseHistogram
 
AbstractBinner1D - Class in hep.aida.ref.histogram.binner
 
AbstractBinner1D(int) - Constructor for class hep.aida.ref.histogram.binner.AbstractBinner1D
Creates a new instance of OneDBinner.
AbstractBinner1D(Binner1D) - Constructor for class hep.aida.ref.histogram.binner.AbstractBinner1D
 
AbstractContinuousDistribution - Class in org.apache.commons.math.distribution
Base class for continuous distributions.
AbstractContinuousRandomVariable - Class in jhplot.math.num.random
Base continuous random variable that provides a {@link RNG) instance as a source for uniform random numbers.
AbstractDevModelFunction - Class in hep.aida.ref.function
 
AbstractDevModelFunction() - Constructor for class hep.aida.ref.function.AbstractDevModelFunction
 
AbstractDiscreteRandomVariable - Class in jhplot.math.num.random
Base continuous random variable that provides a {@link RNG) instance as a source for uniform random numbers.
AbstractDistribution - Class in org.apache.commons.math.distribution
Base class for probability distributions.
AbstractEstimator - Class in org.apache.commons.math.estimation
Deprecated. as of 2.0, everything in package org.apache.commons.math.estimation has been deprecated and replaced by package org.apache.commons.math.optimization.general
AbstractFieldMatrix<T extends FieldElement<T>> - Class in org.apache.commons.math.linear
Basic implementation of FieldMatrix methods regardless of the underlying storage.
AbstractFitMethod - Class in hep.aida.ref.fitter.fitmethod
 
AbstractFitMethod(int, String[]) - Constructor for class hep.aida.ref.fitter.fitmethod.AbstractFitMethod
 
AbstractFormat - Class in org.apache.commons.math.fraction
Common part shared by both FractionFormat and BigFractionFormat.
AbstractIFunction - Class in hep.aida.ref.function
AbstractIFunction is implementation of the IFunction.
AbstractIFunction() - Constructor for class hep.aida.ref.function.AbstractIFunction
No-argument constructor to be used for cloning.
AbstractIFunction(String, int, int) - Constructor for class hep.aida.ref.function.AbstractIFunction
Creates a new instance of AbstractIFunction with default variable names (x0, x1, ...) and default parameter names (p0, p1, ...)
AbstractIFunction(String[], String[]) - Constructor for class hep.aida.ref.function.AbstractIFunction
Creates a new instance of AbstractIFunction with specified variable and parameter names.
AbstractIFunction(String, String[], String[]) - Constructor for class hep.aida.ref.function.AbstractIFunction
 
AbstractIntegerDistribution - Class in org.apache.commons.math.distribution
Base class for integer-valued discrete distributions.
AbstractIntegrator - Class in org.apache.commons.math.ode
Base class managing common boilerplate for all integrators.
AbstractIntegrator(String) - Constructor for class org.apache.commons.math.ode.AbstractIntegrator
Build an instance.
AbstractLeastSquaresOptimizer - Class in org.apache.commons.math.optimization.general
Base class for implementing least squares optimizers.
AbstractLinearOptimizer - Class in org.apache.commons.math.optimization.linear
Base class for implementing linear optimizers.
AbstractListChromosome<T> - Class in org.apache.commons.math.genetics
Chromosome represented by an immutable list of a fixed length.
AbstractListChromosome(List<T>) - Constructor for class org.apache.commons.math.genetics.AbstractListChromosome
Constructor.
AbstractListChromosome(T[]) - Constructor for class org.apache.commons.math.genetics.AbstractListChromosome
Constructor.
AbstractMultipleLinearRegression - Class in org.apache.commons.math.stat.regression
Abstract base class for implementations of MultipleLinearRegression.
AbstractMultipleLinearRegression() - Constructor for class org.apache.commons.math.stat.regression.AbstractMultipleLinearRegression
 
AbstractRandomGenerator - Class in org.apache.commons.math.random
Abstract class implementing the RandomGenerator interface.
AbstractRandomGenerator() - Constructor for class org.apache.commons.math.random.AbstractRandomGenerator
Construct a RandomGenerator.
AbstractRealMatrix - Class in org.apache.commons.math.linear
Basic implementation of RealMatrix methods regardless of the underlying storage.
AbstractRealVector - Class in org.apache.commons.math.linear
This class provides default basic implementations for many methods in the RealVector interface.
AbstractRealVector() - Constructor for class org.apache.commons.math.linear.AbstractRealVector
 
AbstractScalarDifferentiableOptimizer - Class in org.apache.commons.math.optimization.general
Base class for implementing optimizers for multivariate scalar functions.
AbstractStepInterpolator - Class in org.apache.commons.math.ode.sampling
This abstract class represents an interpolator over the last step during an ODE integration.
AbstractStorelessUnivariateStatistic - Class in org.apache.commons.math.stat.descriptive
Abstract implementation of the StorelessUnivariateStatistic interface.
AbstractStorelessUnivariateStatistic() - Constructor for class org.apache.commons.math.stat.descriptive.AbstractStorelessUnivariateStatistic
 
AbstractTuple - Class in hep.aida.ref.tuple
Base class for Tuple, ChainedTuple etc.
AbstractTuple(String, String) - Constructor for class hep.aida.ref.tuple.AbstractTuple
 
AbstractTuple(String, String, String) - Constructor for class hep.aida.ref.tuple.AbstractTuple
 
AbstractTuple.AbstractTupleColumnFactory - Class in hep.aida.ref.tuple
 
AbstractTuple.AbstractTupleColumnFactory() - Constructor for class hep.aida.ref.tuple.AbstractTuple.AbstractTupleColumnFactory
 
AbstractTuple.AbstractTupleColumnFactory.BaseTupleColumn - Class in hep.aida.ref.tuple
 
AbstractTuple.AbstractTupleColumnFactory.BooleanTupleColumn - Class in hep.aida.ref.tuple
 
AbstractTuple.AbstractTupleColumnFactory.ByteTupleColumn - Class in hep.aida.ref.tuple
 
AbstractTuple.AbstractTupleColumnFactory.CharTupleColumn - Class in hep.aida.ref.tuple
 
AbstractTuple.AbstractTupleColumnFactory.DoubleTupleColumn - Class in hep.aida.ref.tuple
 
AbstractTuple.AbstractTupleColumnFactory.FloatTupleColumn - Class in hep.aida.ref.tuple
 
AbstractTuple.AbstractTupleColumnFactory.IntTupleColumn - Class in hep.aida.ref.tuple
 
AbstractTuple.AbstractTupleColumnFactory.ITupleTupleColumn - Class in hep.aida.ref.tuple
 
AbstractTuple.AbstractTupleColumnFactory.LongTupleColumn - Class in hep.aida.ref.tuple
 
AbstractTuple.AbstractTupleColumnFactory.ObjectTupleColumn - Class in hep.aida.ref.tuple
 
AbstractTuple.AbstractTupleColumnFactory.ShortTupleColumn - Class in hep.aida.ref.tuple
 
AbstractTuple.AbstractTupleColumnFactory.StringTupleColumn - Class in hep.aida.ref.tuple
 
AbstractUnivariateRealOptimizer - Class in org.apache.commons.math.optimization.univariate
Provide a default implementation for several functions useful to generic optimizers.
AbstractUnivariateStatistic - Class in org.apache.commons.math.stat.descriptive
Abstract base class for all implementations of the UnivariateStatistic interface.
AbstractUnivariateStatistic() - Constructor for class org.apache.commons.math.stat.descriptive.AbstractUnivariateStatistic
 
AbstractWell - Class in org.apache.commons.math.random
This abstract class implements the WELL class of pseudo-random number generator from François Panneton, Pierre L'Ecuyer and Makoto Matsumoto.
accept() - Method in class hep.aida.ref.fitter.fitdata.RangeSetFilter
 
accept() - Method in class hep.aida.ref.tuple.Filter
 
acos(ValueErr) - Static method in class jhplot.math.ValueErr
Inverse cosine of a value with error
ACOS - Static variable in class org.apache.commons.math.analysis.ComposableFunction
The FastMath.abs method wrapped as a ComposableFunction.
acos() - Method in class org.apache.commons.math.complex.Complex
Compute the inverse cosine of this complex number.
acos(Dfp) - Static method in class org.apache.commons.math.dfp.DfpMath
computes the arc-cosine of the argument.
acos(double) - Static method in class org.apache.commons.math.util.FastMath
Compute the arc cosine of a number.
acosh(double) - Static method in class jhplot.math.num.special.Trigonometric
Returns the inverse hyperbolic cosine of x.
acosh(double) - Static method in class org.apache.commons.math.util.FastMath
Compute the inverse hyperbolic cosine of a number.
action(Event, Object) - Method in class jhplot.bsom.Bsom
 
action(Event, Object) - Method in class jhplot.bsom.BsomDemo
 
actionPerformed(ActionEvent) - Method in class jhplot.v3d.Editor3d
 
actionPerformed(ActionEvent) - Method in class jhpro.stat.limit.LimitCalculatorGui
 
actionPerformed(ActionEvent) - Method in class jhpro.stat.limit.LimitCalculatorGui.myFrame
 
AdamsBashforthIntegrator - Class in org.apache.commons.math.ode.nonstiff
This class implements explicit Adams-Bashforth integrators for Ordinary Differential Equations.
AdamsBashforthIntegrator(int, double, double, double, double) - Constructor for class org.apache.commons.math.ode.nonstiff.AdamsBashforthIntegrator
Build an Adams-Bashforth integrator with the given order and step control parameters.
AdamsBashforthIntegrator(int, double, double, double[], double[]) - Constructor for class org.apache.commons.math.ode.nonstiff.AdamsBashforthIntegrator
Build an Adams-Bashforth integrator with the given order and step control parameters.
AdamsIntegrator - Class in org.apache.commons.math.ode.nonstiff
Base class for Adams-Bashforth and Adams-Moulton integrators.
AdamsIntegrator(String, int, int, double, double, double, double) - Constructor for class org.apache.commons.math.ode.nonstiff.AdamsIntegrator
Build an Adams integrator with the given order and step control prameters.
AdamsIntegrator(String, int, int, double, double, double[], double[]) - Constructor for class org.apache.commons.math.ode.nonstiff.AdamsIntegrator
Build an Adams integrator with the given order and step control parameters.
AdamsMoultonIntegrator - Class in org.apache.commons.math.ode.nonstiff
This class implements implicit Adams-Moulton integrators for Ordinary Differential Equations.
AdamsMoultonIntegrator(int, double, double, double, double) - Constructor for class org.apache.commons.math.ode.nonstiff.AdamsMoultonIntegrator
Build an Adams-Moulton integrator with the given order and error control parameters.
AdamsMoultonIntegrator(int, double, double, double[], double[]) - Constructor for class org.apache.commons.math.ode.nonstiff.AdamsMoultonIntegrator
Build an Adams-Moulton integrator with the given order and error control parameters.
AdamsNordsieckTransformer - Class in org.apache.commons.math.ode.nonstiff
Transformer to Nordsieck vectors for Adams integrators.
adaptive(F1D, double, double) - Static method in class jhplot.math.Numeric
In adaptive quadrature we estimate the area under a curve in the interval from a to b twice, one using Q1 and once using Q2.
AdaptiveIntegrator - Class in jhplot.math.num.integration
An implementation of adaptive quadrature.
AdaptiveIntegrator(Function) - Constructor for class jhplot.math.num.integration.AdaptiveIntegrator
Create an integrator for the given function.
AdaptiveIntegrator(Function, int, double) - Constructor for class jhplot.math.num.integration.AdaptiveIntegrator
Create an integrator for the given function.
AdaptiveStepsizeIntegrator - Class in org.apache.commons.math.ode.nonstiff
This abstract class holds the common part of all adaptive stepsize integrators for Ordinary Differential Equations.
AdaptiveStepsizeIntegrator(String, double, double, double, double) - Constructor for class org.apache.commons.math.ode.nonstiff.AdaptiveStepsizeIntegrator
Build an integrator with the given stepsize bounds.
AdaptiveStepsizeIntegrator(String, double, double, double[], double[]) - Constructor for class org.apache.commons.math.ode.nonstiff.AdaptiveStepsizeIntegrator
Build an integrator with the given stepsize bounds.
add(String, IFunction) - Method in class hep.aida.ref.function.FunctionCatalog
 
add(String, String) - Method in class hep.aida.ref.function.FunctionCatalog
 
add(Binner1D, Binner1D, Binner1D) - Static method in class hep.aida.ref.histogram.binner.BinnerMath
 
add(String, IDataPointSet, IDataPointSet) - Method in class hep.aida.ref.histogram.DataPointSetFactory
 
add(IHistogram1D) - Method in class hep.aida.ref.histogram.Histogram1D
Modifies this histogram by adding the contents of h to it.
add(IHistogram2D) - Method in class hep.aida.ref.histogram.Histogram2D
Modifies this histogram by adding the contents of h to it.
add(IHistogram3D) - Method in class hep.aida.ref.histogram.Histogram3D
Modifies this histogram by adding the contents of h to it.
add(String, IHistogram1D, IHistogram1D) - Method in class hep.aida.ref.histogram.HistogramFactory
Adds two 1D Histogram
add(String, IHistogram2D, IHistogram2D) - Method in class hep.aida.ref.histogram.HistogramFactory
Adds two 2D Histogram
add(String, IHistogram3D, IHistogram3D) - Method in class hep.aida.ref.histogram.HistogramFactory
Adds two 3D Histogram
add(IProfile1D) - Method in class hep.aida.ref.histogram.Profile1D
 
add(IProfile2D) - Method in class hep.aida.ref.histogram.Profile2D
 
add(String, IManagedObject) - Method in class hep.aida.ref.tree.Tree
This "add" method is called from the IStore, and can create new folders if it is needed.
add(HEParticle) - Method in class hephysics.particle.HEParticle
Add 2 particles
add(LParticle) - Method in class hephysics.particle.LParticle
Add 2 particle
add(Hep3Vector, Hep3Vector) - Method in class hephysics.vec.Hep3Vector
Add 2 vectors and return a new object
add(Hep3Vector) - Method in class hephysics.vec.Hep3Vector
Add a vector
add(HepLorentzVector) - Method in class hephysics.vec.HepLorentzVector
Add 2 Lorentz vectors
add(HepLorentzVector, HepLorentzVector) - Method in class hephysics.vec.HepLorentzVector
Add 2 vectors
add(Hep3Vector, Hep3Vector) - Static method in class hephysics.vec.VecOp
 
add(int, H1D) - Method in class jhplot.HBook
add H1D histogram to HBook
add(int, H2D) - Method in class jhplot.HBook
add H2D histogram to HBook
add(int, P1D) - Method in class jhplot.HBook
add P1D histogram to HBook
add(HLabel) - Method in class jhplot.HPlot
Add a label to the Canvas.
add(HKey) - Method in class jhplot.HPlot
Add a key to the Canvas.
add(HMLabel) - Method in class jhplot.HPlot
Add a multiline label to the Canvas.
add(HLabelEq) - Method in class jhplot.HPlot
Add a LaTeX equation to the canvas.
add(HShape) - Method in class jhplot.HPlot
Add a shape primitive to the Canvas.
add(HLabel, double) - Method in class jhplot.HPlot2D
Add a label to the Canvas in NDC coordinates
add(JaObject) - Method in class jhplot.HPlotJa
Add an object to the frame.
add(ConstructionObject) - Method in class jhplot.HZirkel
Add an object on the canvas and update it.
add(double[], double, double[], int) - Static method in class jhplot.math.ArrayMathUtils
Adds to an array w, a times v where a is a scalar.
add(double[], double) - Static method in class jhplot.math.ArrayMathUtils
Adds a scalar to every element in the array.
add(double[], double[]) - Static method in class jhplot.math.ArrayMathUtils
Adds the two arrays together (componentwise).
add(int[], double, int[], int) - Static method in class jhplot.math.ArrayMathUtils
Adds to an array w, a times v where a is a scalar.
add(int[], int) - Static method in class jhplot.math.ArrayMathUtils
Adds a scalar to every element in the array.
add(int[], int[]) - Static method in class jhplot.math.ArrayMathUtils
Adds the two arrays together (componentwise).
add(double[][], double) - Static method in class jhplot.math.DoubleArray
Adds a single value to a matrix, e.g.
add(double[][], double[][]) - Static method in class jhplot.math.DoubleArray
Adds a matrix to another matrix, which should be of the same dimension.
add(double) - Method in class jhplot.math.num.DoubleArray
Adds an element to the end of this expandable array.
add(double) - Method in class jhplot.P0D
Adds (appends) the specified element to the end of this list.
add(int) - Method in class jhplot.P0D
Adds (appends) the specified element to the end of this list.
add(Integer) - Method in class jhplot.P0I
Adds (appends) the specified element to the end of this list.
add(int) - Method in class jhplot.P0I
Adds (appends) the specified element to the end of this list.
add(double, double) - Method in class jhplot.P1D
Adds values of a plot-point pair (X,Y).
add(double, double, double) - Method in class jhplot.P1D
Adds the values of a plot-point pair (X,Y).
add(double, double, double, double) - Method in class jhplot.P1D
Add values of a plot-point pair (X,Y).
add(double, double, double, double, double, double) - Method in class jhplot.P1D
Adds the values of a plot-point pair (X,Y).
add(double, double, double, double, double, double, double, double, double, double) - Method in class jhplot.P1D
Adds the values of a plot-point pair (x,y).
add(double, double, double) - Method in class jhplot.P2D
Adds values of a plot-point pair (X,Y,Z).
add(double, double, double, double, double, double) - Method in class jhplot.P3D
Adds values of a plot-point pair (X,dX,Y,dY,Z,dZ).
add(double[]) - Method in class jhplot.PND
Adds (appends) the specified element to the end of this list.
add(P0D) - Method in class jhplot.PND
Adds (appends) P0D to the end of this list.
add(int[]) - Method in class jhplot.PNI
Adds (appends) the specified element to the end of this list.
add(P0I) - Method in class jhplot.PNI
Adds (appends) P0D to the end of this list.
add(Vector3d) - Method in class jhplot.v3d.Vector3d
 
add(DataPoint) - Method in class jminhep.cluster.DataHolder
Add a data point to the holder
add(double[]) - Method in class jminhep.cluster.DataHolder
Add a new instance to data holder in form of array
ADD - Static variable in class org.apache.commons.math.analysis.BinaryFunction
Deprecated. The + operator method wrapped as a BinaryFunction.
add(UnivariateRealFunction) - Method in class org.apache.commons.math.analysis.ComposableFunction
Return a function adding the instance and another function.
add(double) - Method in class org.apache.commons.math.analysis.ComposableFunction
Return a function adding a constant term to the instance.
add(PolynomialFunction) - Method in class org.apache.commons.math.analysis.polynomials.PolynomialFunction
Add a polynomial to the instance.
add(Complex) - Method in class org.apache.commons.math.complex.Complex
Return the sum of this complex number and the given complex number.
add(Dfp) - Method in class org.apache.commons.math.dfp.Dfp
Add x to this.
add(T) - Method in interface org.apache.commons.math.FieldElement
Compute this + a.
add(BigInteger) - Method in class org.apache.commons.math.fraction.BigFraction
Adds the value of this fraction to the passed BigInteger, returning the result in reduced form.
add(int) - Method in class org.apache.commons.math.fraction.BigFraction
Adds the value of this fraction to the passed integer, returning the result in reduced form.
add(long) - Method in class org.apache.commons.math.fraction.BigFraction
Adds the value of this fraction to the passed long, returning the result in reduced form.
add(BigFraction) - Method in class org.apache.commons.math.fraction.BigFraction
Adds the value of this fraction to another, returning the result in reduced form.
add(Fraction) - Method in class org.apache.commons.math.fraction.Fraction
Adds the value of this fraction to another, returning the result in reduced form.
add(int) - Method in class org.apache.commons.math.fraction.Fraction
Add an integer to the fraction.
add(Vector3D) - Method in class org.apache.commons.math.geometry.Vector3D
Add a vector to the instance.
add(double, Vector3D) - Method in class org.apache.commons.math.geometry.Vector3D
Add a scaled vector to the instance.
add(FieldMatrix<T>) - Method in class org.apache.commons.math.linear.AbstractFieldMatrix
Compute the sum of this and m.
add(RealMatrix) - Method in class org.apache.commons.math.linear.AbstractRealMatrix
Compute the sum of this and m.
add(double[]) - Method in class org.apache.commons.math.linear.AbstractRealVector
Compute the sum of this vector and v.
add(RealVector) - Method in class org.apache.commons.math.linear.AbstractRealVector
Compute the sum of this vector and v.
add(FieldMatrix<T>) - Method in class org.apache.commons.math.linear.Array2DRowFieldMatrix
Compute the sum of this and m.
add(Array2DRowFieldMatrix<T>) - Method in class org.apache.commons.math.linear.Array2DRowFieldMatrix
Compute the sum of this and m.
add(RealMatrix) - Method in class org.apache.commons.math.linear.Array2DRowRealMatrix
Compute the sum of this and m.
add(Array2DRowRealMatrix) - Method in class org.apache.commons.math.linear.Array2DRowRealMatrix
Compute the sum of this and m.
add(FieldVector<T>) - Method in class org.apache.commons.math.linear.ArrayFieldVector
Compute the sum of this and v.
add(T[]) - Method in class org.apache.commons.math.linear.ArrayFieldVector
Compute the sum of this and v.
add(ArrayFieldVector<T>) - Method in class org.apache.commons.math.linear.ArrayFieldVector
Compute the sum of this and v.
add(RealVector) - Method in class org.apache.commons.math.linear.ArrayRealVector
Compute the sum of this vector and v.
add(double[]) - Method in class org.apache.commons.math.linear.ArrayRealVector
Compute the sum of this vector and v.
add(ArrayRealVector) - Method in class org.apache.commons.math.linear.ArrayRealVector
Compute the sum of this and v.
add(BigMatrix) - Method in interface org.apache.commons.math.linear.BigMatrix
Deprecated. Compute the sum of this and m.
add(BigMatrix) - Method in class org.apache.commons.math.linear.BigMatrixImpl
Deprecated. Compute the sum of this and m.
add(BigMatrixImpl) - Method in class org.apache.commons.math.linear.BigMatrixImpl
Deprecated. Compute the sum of this and m.
add(FieldMatrix<T>) - Method in class org.apache.commons.math.linear.BlockFieldMatrix
Compute the sum of this and m.
add(BlockFieldMatrix<T>) - Method in class org.apache.commons.math.linear.BlockFieldMatrix
Compute the sum of this and m.
add(RealMatrix) - Method in class org.apache.commons.math.linear.BlockRealMatrix
Compute the sum of this and m.
add(BlockRealMatrix) - Method in class org.apache.commons.math.linear.BlockRealMatrix
Compute the sum of this and m.
add(FieldMatrix<T>) - Method in interface org.apache.commons.math.linear.FieldMatrix
Compute the sum of this and m.
add(FieldVector<T>) - Method in interface org.apache.commons.math.linear.FieldVector
Compute the sum of this and v.
add(T[]) - Method in interface org.apache.commons.math.linear.FieldVector
Compute the sum of this and v.
add(RealMatrix) - Method in class org.apache.commons.math.linear.OpenMapRealMatrix
Compute the sum of this and m.
add(OpenMapRealMatrix) - Method in class org.apache.commons.math.linear.OpenMapRealMatrix
Compute the sum of this and m.
add(RealVector) - Method in class org.apache.commons.math.linear.OpenMapRealVector
Compute the sum of this vector and v.
add(OpenMapRealVector) - Method in class org.apache.commons.math.linear.OpenMapRealVector
Optimized method to add two OpenMapRealVectors.
add(RealMatrix) - Method in interface org.apache.commons.math.linear.RealMatrix
Compute the sum of this and m.
add(RealMatrix) - Method in class org.apache.commons.math.linear.RealMatrixImpl
Deprecated. Compute the sum of this and m.
add(RealMatrixImpl) - Method in class org.apache.commons.math.linear.RealMatrixImpl
Deprecated. Compute the sum of this and m.
add(RealVector) - Method in interface org.apache.commons.math.linear.RealVector
Compute the sum of this vector and v.
add(double[]) - Method in interface org.apache.commons.math.linear.RealVector
Compute the sum of this vector and v.
add(SparseFieldVector<T>) - Method in class org.apache.commons.math.linear.SparseFieldVector
Optimized method to add sparse vectors.
add(T[]) - Method in class org.apache.commons.math.linear.SparseFieldVector
Compute the sum of this and v.
add(FieldVector<T>) - Method in class org.apache.commons.math.linear.SparseFieldVector
Compute the sum of this and v.
add(BigReal) - Method in class org.apache.commons.math.util.BigReal
Compute this + a.
addAndAverage(P1D[]) - Method in class jhplot.P1D
Return P1D array with weighted average of several measurements.
addAndCheck(int, int) - Static method in class org.apache.commons.math.util.MathUtils
Add two integers, checking for overflow.
addAndCheck(long, long) - Static method in class org.apache.commons.math.util.MathUtils
Add two long integers, checking for overflow.
addChannel(H1D, H1D, H1D) - Method in class jhpro.stat.DataSource
Adds a channel with signal, background and data given as input.
addChannel(P1D, P1D, P1D) - Method in class jhpro.stat.DataSource
Adds a channel with signal, background and data given as input.
addChannel(DataKeeper, DataKeeper, DataKeeper, double, double, double, String) - Method in class jhpro.stat.DataSource
Adds a channel with signal, background and data given as input.
addChannel(DataKeeper, DataKeeper, DataKeeper) - Method in class jhpro.stat.DataSource
Adds a channel with signal, background and data given as input.
addChannel(H1D, H1D, H1D, double, double, double, String) - Method in class jhpro.stat.DataSource
Adds a channel with signal, background and data given as input.
addChannel(P1D, P1D, P1D, double, double, double, String) - Method in class jhpro.stat.DataSource
Adds a channel with signal, background and data given as input.
addChromosome(Chromosome) - Method in class org.apache.commons.math.genetics.ListPopulation
Add the given chromosome to the population.
addChromosome(Chromosome) - Method in interface org.apache.commons.math.genetics.Population
Add the given chromosome to the population.
addComp(Component) - Method in class jhplot.GHPanel
Add a component to the main panel
addContentToBin(int[], int, double, double[], double[]) - Method in interface hep.aida.ref.dataset.binner.Binner
Add a set of entries to the existing content of the bin.
addContentToBin(int[], int, double, double[], double[]) - Method in class hep.aida.ref.dataset.binner.DefaultBinner
 
addContentToBin(int[], int, double, double[], double[]) - Method in class hep.aida.ref.dataset.binner.EfficiencyBinner
 
addCoreListener(FunctionCoreListener) - Method in class hep.aida.ref.function.FunctionCore
 
addData(DataArray, int) - Method in class jhplot.jadraw.JaAxes
Add data to this plot.
addData(H2D, int) - Method in class jhplot.jadraw.JaAxes
Add h2d data set.
addData(ExpData) - Method in class jhpro.stat.limit.StatConfidence
Add experimental data
addData(double, double) - Method in class org.apache.commons.math.stat.regression.SimpleRegression
Adds the observation (x,y) to the regression data set.
addData(double[][]) - Method in class org.apache.commons.math.stat.regression.SimpleRegression
Adds the observations represented by the elements in data.
addEdge(String, String) - Method in class jhplot.HGraph
Add a connector between 2 vertexes
addElement(double) - Method in interface org.apache.commons.math.util.DoubleArray
Adds an element to the end of this expandable array
addElement(double) - Method in class org.apache.commons.math.util.ResizableDoubleArray
Adds an element to the end of this expandable array.
addElementRolling(double) - Method in interface org.apache.commons.math.util.DoubleArray
Adds an element to the end of the array and removes the first element in the array.
addElementRolling(double) - Method in class org.apache.commons.math.util.ResizableDoubleArray
Adds an element to the end of the array and removes the first element in the array.
addElements(double[]) - Method in class org.apache.commons.math.util.ResizableDoubleArray
Adds several element to the end of this expandable array.
addEntries(double[], double[], double, double, int) - Method in class hep.aida.ref.dataset.DataStatistics
Add a set of weighted entries to this DataSetStatistics.
addEntries(double[], double[], int) - Method in class hep.aida.ref.dataset.DataStatistics
Add a set of entries to this DataSetStatistics.
addEntry(double[], double) - Method in class hep.aida.ref.dataset.DataStatistics
Add a weighted entry to this DataSetStatistics.
addEntry(double[]) - Method in class hep.aida.ref.dataset.DataStatistics
Add a new entry to this DataSetStatistics with unit weight.
addEventHandler(EventHandler, double, double, int) - Method in class org.apache.commons.math.ode.AbstractIntegrator
Add an event handler to the integrator.
addEventHandler(EventHandler, double, double, int) - Method in class org.apache.commons.math.ode.events.CombinedEventsManager
Deprecated. Add an events handler.
addEventHandler(EventHandlerWithJacobians, double, double, int) - Method in class org.apache.commons.math.ode.jacobians.FirstOrderIntegratorWithJacobians
Deprecated. Add an event handler to the integrator.
addEventHandler(EventHandler, double, double, int) - Method in class org.apache.commons.math.ode.nonstiff.GraggBulirschStoerIntegrator
Add an event handler to the integrator.
addEventHandler(EventHandler, double, double, int) - Method in interface org.apache.commons.math.ode.ODEIntegrator
Add an event handler to the integrator.
addFace(int, Color) - Method in class jhplot.v3d.Object3d
 
addFace(int, int, int, int) - Method in class jhplot.v3d.Object3d
 
addFace(int) - Method in class jhplot.v3d.Object3d
 
addFeedForwardLayer(int) - Method in class jhplot.HNeuralNet
Construct this layer with a sigmoid threshold function.
addFromFactory(String, IManagedObject) - Method in class hep.aida.ref.tree.Tree
This "add" method is called from Factories (HistogramFactory, ...), and can create new folders if it is needed.
addFunc(String, String, String, String) - Method in class jhplot.HFit
Add a user 1D function in form of a string.
addFunc(String, IFunction) - Method in class jhplot.HFitter
Add a new function to catalog
addFunction(IFunction) - Method in class hep.aida.ref.function.SumOfFunctions
 
addFunctionListener(FunctionListener) - Method in class hep.aida.ref.function.AbstractIFunction
 
addFunctionListener(FunctionListener) - Method in class hep.aida.ref.function.BaseModelFunction
 
addFunctionListener(FunctionListener) - Method in interface hep.aida.ref.function.FunctionDispatcher
 
addGraph(int, int, Component) - Method in class jhplot.GHFrame
Add a graph or any component in the location given by i1 and i2.
addGraph(int, int, Component) - Method in class jhplot.GHPanel
Add a graph or any component in the location given by i1 and i2
addItem(String, String) - Method in class hep.aida.ref.Annotation
Add a key/value pair with a given visibility.
addItem(String, String, boolean) - Method in class hep.aida.ref.Annotation
 
ADDITIVE_MODE - Static variable in class org.apache.commons.math.util.ResizableDoubleArray
additive expansion mode
addKey(DataArray, int, int) - Method in class jhplot.HPlotJa
 
addLegend(int, String) - Method in class jhplot.SPlot
Add a legend (displayed at the upper right) for the specified data set with the specified string.
addListener(AIDAListener) - Method in class hep.aida.ref.event.AIDAObservable
 
addListener(AIDAListener) - Method in interface hep.aida.ref.event.IsObservable
 
addObject(Object3d) - Method in class jhplot.v3d.Model3d
 
addObservedPoint(double, double) - Method in class org.apache.commons.math.optimization.fitting.CurveFitter
Add an observed (x,y) point to the sample with unit weight.
addObservedPoint(double, double, double) - Method in class org.apache.commons.math.optimization.fitting.CurveFitter
Add an observed weighted (x,y) point to the sample.
addObservedPoint(WeightedObservedPoint) - Method in class org.apache.commons.math.optimization.fitting.CurveFitter
Add an observed weighted (x,y) point to the sample.
addObservedPoint(double, double) - Method in class org.apache.commons.math.optimization.fitting.GaussianFitter
Adds point (x, y) to list of observed points with a weight of 1.0.
addObservedPoint(double, double, double) - Method in class org.apache.commons.math.optimization.fitting.GaussianFitter
Adds point (x, y) to list of observed points with a weight of weight.
addObservedPoint(double, double, double) - Method in class org.apache.commons.math.optimization.fitting.HarmonicFitter
Add an observed weighted (x,y) point to the sample.
addObservedPoint(double, double, double) - Method in class org.apache.commons.math.optimization.fitting.PolynomialFitter
Add an observed weighted (x,y) point to the sample.
addObserver(Observer) - Method in class hep.aida.ref.event.ObserverAdapter
 
addPoint() - Method in class hep.aida.ref.histogram.DataPointSet
 
addPoint(IDataPoint) - Method in class hep.aida.ref.histogram.DataPointSet
 
addPoint(int, double, double, boolean) - Method in class jhplot.SPlot
In the specified data set, add the specified x, y point to the plot.
addPoint(double, double) - Method in class jhplot.stat.LinReg
Add a point to the data and redo the regression
addPoint(T) - Method in class org.apache.commons.math.stat.clustering.Cluster
Add a point to this cluster.
addPointErr(int, double, double, double, double, boolean) - Method in class jhplot.SPlot
In the specified data set, add the specified x, y point to the plot with error bars.
addRow() - Method in class hep.aida.ref.tuple.AbstractTuple
 
addRow() - Method in class hep.aida.ref.tuple.ReadOnlyAbstractTuple
 
addRow() - Method in class hep.aida.ref.tuple.Tuple
 
addRow() - Method in class hep.aida.ref.tuple.TupleColumn
 
addRow() - Method in class hep.aida.ref.tuple.TupleColumn.TupleColumnFolder
 
addRow() - Method in class jhplot.SPsheet
Adds row to end of table
addStatBox(int, int) - Method in class jhplot.HPlotJa
 
addStepHandler(StepHandler) - Method in class org.apache.commons.math.ode.AbstractIntegrator
Add a step handler to this integrator.
addStepHandler(StepHandlerWithJacobians) - Method in class org.apache.commons.math.ode.jacobians.FirstOrderIntegratorWithJacobians
Deprecated. Add a step handler to this integrator.
addStepHandler(StepHandler) - Method in class org.apache.commons.math.ode.nonstiff.GraggBulirschStoerIntegrator
Add a step handler to this integrator.
addStepHandler(StepHandler) - Method in interface org.apache.commons.math.ode.ODEIntegrator
Add a step handler to this integrator.
addToBack(JaObject) - Method in class jhplot.HPlotJa
Add an object to background.
addToEntry(int, int, T) - Method in class org.apache.commons.math.linear.AbstractFieldMatrix
Change an entry in the specified row and column.
addToEntry(int, int, double) - Method in class org.apache.commons.math.linear.AbstractRealMatrix
Change an entry in the specified row and column.
addToEntry(int, int, T) - Method in class org.apache.commons.math.linear.Array2DRowFieldMatrix
Change an entry in the specified row and column.
addToEntry(int, int, double) - Method in class org.apache.commons.math.linear.Array2DRowRealMatrix
Change an entry in the specified row and column.
addToEntry(int, int, T) - Method in class org.apache.commons.math.linear.BlockFieldMatrix
Change an entry in the specified row and column.
addToEntry(int, int, double) - Method in class org.apache.commons.math.linear.BlockRealMatrix
Change an entry in the specified row and column.
addToEntry(int, int, T) - Method in interface org.apache.commons.math.linear.FieldMatrix
Change an entry in the specified row and column.
addToEntry(int, int, double) - Method in class org.apache.commons.math.linear.OpenMapRealMatrix
Change an entry in the specified row and column.
addToEntry(int, int, double) - Method in interface org.apache.commons.math.linear.RealMatrix
Change an entry in the specified row and column.
addToEntry(int, int, double) - Method in class org.apache.commons.math.linear.RealMatrixImpl
Deprecated. Change an entry in the specified row and column.
addToEntry(int, int, T) - Method in class org.apache.commons.math.linear.SparseFieldMatrix
Change an entry in the specified row and column.
addToFront(JaObject) - Method in class jhplot.HPlotJa
Add an object to foreground.
addValue(double) - Method in class org.apache.commons.math.stat.descriptive.DescriptiveStatistics
Adds the value to the dataset.
addValue(double[]) - Method in class org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics
Add an n-tuple to the data
addValue(double) - Method in class org.apache.commons.math.stat.descriptive.SummaryStatistics
Add a value to the data
addValue(double) - Method in class org.apache.commons.math.stat.descriptive.SynchronizedDescriptiveStatistics
Adds the value to the dataset.
addValue(double[]) - Method in class org.apache.commons.math.stat.descriptive.SynchronizedMultivariateSummaryStatistics
Add an n-tuple to the data
addValue(double) - Method in class org.apache.commons.math.stat.descriptive.SynchronizedSummaryStatistics
Add a value to the data
addValue(Object) - Method in class org.apache.commons.math.stat.Frequency
Deprecated. use Frequency.addValue(Comparable) instead
addValue(Comparable<?>) - Method in class org.apache.commons.math.stat.Frequency
Adds 1 to the frequency count for v.
addValue(int) - Method in class org.apache.commons.math.stat.Frequency
Adds 1 to the frequency count for v.
addValue(Integer) - Method in class org.apache.commons.math.stat.Frequency
Deprecated. to be removed in math 3.0
addValue(long) - Method in class org.apache.commons.math.stat.Frequency
Adds 1 to the frequency count for v.
addValue(char) - Method in class org.apache.commons.math.stat.Frequency
Adds 1 to the frequency count for v.
addVertex(String) - Method in class jhplot.HGraph
Add a new vertex
addVertex(Vector3d) - Method in class jhplot.v3d.Object3d
 
addVertex(float, float, float) - Method in class jhplot.v3d.Object3d
 
addXTick(String, double) - Method in class jhplot.SPlot
Specify a tick mark for the X axis.
addYTick(String, double) - Method in class jhplot.SPlot
Specify a tick mark for the Y axis.
advance() - Method in class org.apache.commons.math.util.OpenIntToDoubleHashMap.Iterator
Advance iterator one step further.
advance() - Method in class org.apache.commons.math.util.OpenIntToFieldHashMap.Iterator
Advance iterator one step further.
aggregate(Collection<SummaryStatistics>) - Static method in class org.apache.commons.math.stat.descriptive.AggregateSummaryStatistics
Computes aggregate summary statistics.
AggregateSummaryStatistics - Class in org.apache.commons.math.stat.descriptive
An aggregator for SummaryStatistics from several data sets or data set partitions.
AggregateSummaryStatistics() - Constructor for class org.apache.commons.math.stat.descriptive.AggregateSummaryStatistics
Initializes a new AggregateSummaryStatistics with default statistics implementations.
AggregateSummaryStatistics(SummaryStatistics) - Constructor for class org.apache.commons.math.stat.descriptive.AggregateSummaryStatistics
Initializes a new AggregateSummaryStatistics with the specified statistics object as a prototype for contributing statistics and for the internal aggregate statistics.
AggregateSummaryStatistics(SummaryStatistics, SummaryStatistics) - Constructor for class org.apache.commons.math.stat.descriptive.AggregateSummaryStatistics
Initializes a new AggregateSummaryStatistics with the specified statistics object as a prototype for contributing statistics and for the internal aggregate statistics.
AIDAListener - Interface in hep.aida.ref.event
A interface to be implemented by those wishing to observe changes to AIDA objects.
AIDAObservable - Class in hep.aida.ref.event
A basic implementation of isObservable.
aidaPathKey - Static variable in class hep.aida.ref.Annotation
 
AidaUtils - Class in hep.aida.ref
 
AidaUtils() - Constructor for class hep.aida.ref.AidaUtils
 
allEntries() - Method in class hep.aida.ref.histogram.Histogram
Get all the entries in the Histogram, i.e.
allEntries() - Method in class hep.aida.ref.histogram.Profile1D
 
allEntries() - Method in class hep.aida.ref.histogram.Profile2D
 
allEntries() - Method in class jhplot.H1D
Get number of all entries
allEntries() - Method in class jhplot.H2D
Get number of all entries
allEntries() - Method in class jhplot.HProf1D
Get number of all entries
allEntries() - Method in class jhplot.HProf2D
Get number of all entries
analF() - Method in class jhplot.HPlot
Return IAnalysisFactory associated with the plot
analF() - Method in class jhplot.HPlotJa
Return IAnalysisFactory associated with the plot
analyseSet() - Method in class jminhep.cluster.DataHolder
Analyse the data holder by calculating min and max.
AnalysisFactory - Class in hep.aida.ref
 
AnalysisFactory() - Constructor for class hep.aida.ref.AnalysisFactory
 
angle(LParticle) - Method in class hephysics.particle.LParticle
Angle between 2 vectors in rad
angle(Hep3Vector) - Method in class hephysics.vec.Hep3Vector
Angle between 2 vectors
angle(HepLorentzVector) - Method in class hephysics.vec.HepLorentzVector
Angle between 2 vectors
angle(Vector3D, Vector3D) - Static method in class org.apache.commons.math.geometry.Vector3D
Compute the angular separation between two vectors.
Animation - Class in jhplot.v3d
 
Animation() - Constructor for class jhplot.v3d.Animation
 
Annotation - Class in hep.aida.ref
 
Annotation() - Constructor for class hep.aida.ref.Annotation
Creates a new instance of Annotation.
Annotation(IAnnotation) - Constructor for class hep.aida.ref.Annotation
 
annotation() - Method in class hep.aida.ref.fitter.InternalFitFunction
 
annotation() - Method in class hep.aida.ref.function.AbstractDevModelFunction
 
annotation() - Method in class hep.aida.ref.function.AbstractIFunction
 
annotation() - Method in class hep.aida.ref.function.BaseModelFunction
 
annotation() - Method in class hep.aida.ref.function.SumOfFunctions
 
annotation() - Method in class hep.aida.ref.histogram.AbstractBaseHistogram
Get the IAnnotation associated with the histogram.
annotation() - Method in class hep.aida.ref.histogram.DataPointSet
 
annotation() - Method in class hep.aida.ref.tuple.AbstractTuple
 
anovaFValue(Collection<double[]>) - Method in interface org.apache.commons.math.stat.inference.OneWayAnova
Computes the ANOVA F-value for a collection of double[] arrays.
anovaFValue(Collection<double[]>) - Method in class org.apache.commons.math.stat.inference.OneWayAnovaImpl
Computes the ANOVA F-value for a collection of double[] arrays.
anovaPValue(Collection<double[]>) - Method in interface org.apache.commons.math.stat.inference.OneWayAnova
Computes the ANOVA P-value for a collection of double[] arrays.
anovaPValue(Collection<double[]>) - Method in class org.apache.commons.math.stat.inference.OneWayAnovaImpl
Computes the ANOVA P-value for a collection of double[] arrays.
anovaTest(Collection<double[]>, double) - Method in interface org.apache.commons.math.stat.inference.OneWayAnova
Performs an ANOVA test, evaluating the null hypothesis that there is no difference among the means of the data categories.
anovaTest(Collection<double[]>, double) - Method in class org.apache.commons.math.stat.inference.OneWayAnovaImpl
Performs an ANOVA test, evaluating the null hypothesis that there is no difference among the means of the data categories.
AnyMatrix - Interface in org.apache.commons.math.linear
Interface defining very basic matrix operations.
append(File, String) - Static method in class jhplot.math.io.ASCIIFile
 
append(FieldVector<T>) - Method in class org.apache.commons.math.linear.ArrayFieldVector
Construct a vector by appending a vector to this vector.
append(ArrayFieldVector<T>) - Method in class org.apache.commons.math.linear.ArrayFieldVector
Construct a vector by appending a vector to this vector.
append(T) - Method in class org.apache.commons.math.linear.ArrayFieldVector
Construct a vector by appending a T to this vector.
append(T[]) - Method in class org.apache.commons.math.linear.ArrayFieldVector
Construct a vector by appending a T array to this vector.
append(RealVector) - Method in class org.apache.commons.math.linear.ArrayRealVector
Construct a vector by appending a vector to this vector.
append(ArrayRealVector) - Method in class org.apache.commons.math.linear.ArrayRealVector
Construct a vector by appending a vector to this vector.
append(double) - Method in class org.apache.commons.math.linear.ArrayRealVector
Construct a vector by appending a double to this vector.
append(double[]) - Method in class org.apache.commons.math.linear.ArrayRealVector
Construct a vector by appending a double array to this vector.
append(FieldVector<T>) - Method in interface org.apache.commons.math.linear.FieldVector
Construct a vector by appending a vector to this vector.
append(T) - Method in interface org.apache.commons.math.linear.FieldVector
Construct a vector by appending a T to this vector.
append(T[]) - Method in interface org.apache.commons.math.linear.FieldVector
Construct a vector by appending a T array to this vector.
append(OpenMapRealVector) - Method in class org.apache.commons.math.linear.OpenMapRealVector
Optimized method to append a OpenMapRealVector.
append(RealVector) - Method in class org.apache.commons.math.linear.OpenMapRealVector
Construct a vector by appending a vector to this vector.
append(double) - Method in class org.apache.commons.math.linear.OpenMapRealVector
Construct a vector by appending a double to this vector.
append(double[]) - Method in class org.apache.commons.math.linear.OpenMapRealVector
Construct a vector by appending a double array to this vector.
append(RealVector) - Method in interface org.apache.commons.math.linear.RealVector
Construct a vector by appending a vector to this vector.
append(double) - Method in interface org.apache.commons.math.linear.RealVector
Construct a vector by appending a double to this vector.
append(double[]) - Method in interface org.apache.commons.math.linear.RealVector
Construct a vector by appending a double array to this vector.
append(SparseFieldVector<T>) - Method in class org.apache.commons.math.linear.SparseFieldVector
Construct a vector by appending a vector to this vector.
append(FieldVector<T>) - Method in class org.apache.commons.math.linear.SparseFieldVector
Construct a vector by appending a vector to this vector.
append(T) - Method in class org.apache.commons.math.linear.SparseFieldVector
Construct a vector by appending a T to this vector.
append(T[]) - Method in class org.apache.commons.math.linear.SparseFieldVector
Construct a vector by appending a T array to this vector.
append(ContinuousOutputModel) - Method in class org.apache.commons.math.ode.ContinuousOutputModel
Append another model at the end of the instance.
appendDoubleArray(File, double[], String) - Static method in class jhplot.math.io.BinaryFile
 
appendDoubleArray(OutputStream, double[], String) - Static method in class jhplot.math.io.BinaryOutputStream
 
appendFloatArray(File, float[], String) - Static method in class jhplot.math.io.BinaryFile
 
appendFloatArray(OutputStream, float[], String) - Static method in class jhplot.math.io.BinaryOutputStream
 
appendIntArray(File, int[], String) - Static method in class jhplot.math.io.BinaryFile
 
appendIntArray(OutputStream, int[], String) - Static method in class jhplot.math.io.BinaryOutputStream
 
apply(UnivariateStatistic) - Method in class org.apache.commons.math.stat.descriptive.DescriptiveStatistics
Apply the given statistic to the data associated with this set of statistics.
apply(UnivariateStatistic) - Method in class org.apache.commons.math.stat.descriptive.SynchronizedDescriptiveStatistics
Apply the given statistic to the data associated with this set of statistics.
applyInverseTo(Vector3D) - Method in class org.apache.commons.math.geometry.Rotation
Apply the inverse of the rotation to a vector.
applyInverseTo(Rotation) - Method in class org.apache.commons.math.geometry.Rotation
Apply the inverse of the instance to another rotation.
applyTo(Vector3D) - Method in class org.apache.commons.math.geometry.Rotation
Apply the rotation to a vector.
applyTo(Rotation) - Method in class org.apache.commons.math.geometry.Rotation
Apply the instance to another rotation.
arg() - Method in class jhplot.math.Complex
Argument of this Complex number (the angle in radians with the x-axis in polar coordinates).
ArgumentOutsideDomainException - Exception in org.apache.commons.math
Error thrown when a method is called with an out of bounds argument.
ArgumentOutsideDomainException(double, double, double) - Constructor for exception org.apache.commons.math.ArgumentOutsideDomainException
Constructs an exception with specified formatted detail message.
ArgUtils - Class in org.apache.commons.math.exception.util
Utility class for transforming the list of arguments passed to constructors of exceptions.
Array2DRowFieldMatrix<T extends FieldElement<T>> - Class in org.apache.commons.math.linear
Implementation of FieldMatrix using a FieldElement[][] array to store entries.
Array2DRowFieldMatrix(Field<T>) - Constructor for class org.apache.commons.math.linear.Array2DRowFieldMatrix
Creates a matrix with no data
Array2DRowFieldMatrix(Field<T>, int, int) - Constructor for class org.apache.commons.math.linear.Array2DRowFieldMatrix
Create a new FieldMatrix with the supplied row and column dimensions.
Array2DRowFieldMatrix(T[][]) - Constructor for class org.apache.commons.math.linear.Array2DRowFieldMatrix
Create a new FieldMatrix using the input array as the underlying data array.
Array2DRowFieldMatrix(T[][], boolean) - Constructor for class org.apache.commons.math.linear.Array2DRowFieldMatrix
Create a new FieldMatrix using the input array as the underlying data array.
Array2DRowFieldMatrix(T[]) - Constructor for class org.apache.commons.math.linear.Array2DRowFieldMatrix
Create a new (column) FieldMatrix using v as the data for the unique column of the v.length x 1 matrix created.
Array2DRowRealMatrix - Class in org.apache.commons.math.linear
Implementation of RealMatrix using a double[][] array to store entries and LU decomposition to support linear system solution and inverse.
Array2DRowRealMatrix() - Constructor for class org.apache.commons.math.linear.Array2DRowRealMatrix
Creates a matrix with no data
Array2DRowRealMatrix(int, int) - Constructor for class org.apache.commons.math.linear.Array2DRowRealMatrix
Create a new RealMatrix with the supplied row and column dimensions.
Array2DRowRealMatrix(double[][]) - Constructor for class org.apache.commons.math.linear.Array2DRowRealMatrix
Create a new RealMatrix using the input array as the underlying data array.
Array2DRowRealMatrix(double[][], boolean) - Constructor for class org.apache.commons.math.linear.Array2DRowRealMatrix
Create a new RealMatrix using the input array as the underlying data array.
Array2DRowRealMatrix(double[]) - Constructor for class org.apache.commons.math.linear.Array2DRowRealMatrix
Create a new (column) RealMatrix using v as the data for the unique column of the v.length x 1 matrix created.
ArrayFieldVector<T extends FieldElement<T>> - Class in org.apache.commons.math.linear
This class implements the FieldVector interface with a FieldElement array.
ArrayFieldVector(Field<T>) - Constructor for class org.apache.commons.math.linear.ArrayFieldVector
Build a 0-length vector.
ArrayFieldVector(Field<T>, int) - Constructor for class org.apache.commons.math.linear.ArrayFieldVector
Construct a (size)-length vector of zeros.
ArrayFieldVector(int, T) - Constructor for class org.apache.commons.math.linear.ArrayFieldVector
Construct an (size)-length vector with preset values.
ArrayFieldVector(T[]) - Constructor for class org.apache.commons.math.linear.ArrayFieldVector
Construct a vector from an array, copying the input array.
ArrayFieldVector(Field<T>, T[]) - Constructor for class org.apache.commons.math.linear.ArrayFieldVector
Construct a vector from an array, copying the input array.
ArrayFieldVector(T[], boolean) - Constructor for class org.apache.commons.math.linear.ArrayFieldVector
Create a new ArrayFieldVector using the input array as the underlying data array.
ArrayFieldVector(Field<T>, T[], boolean) - Constructor for class org.apache.commons.math.linear.ArrayFieldVector
Create a new ArrayFieldVector using the input array as the underlying data array.
ArrayFieldVector(T[], int, int) - Constructor for class org.apache.commons.math.linear.ArrayFieldVector
Construct a vector from part of a array.
ArrayFieldVector(FieldVector<T>) - Constructor for class org.apache.commons.math.linear.ArrayFieldVector
Construct a vector from another vector, using a deep copy.
ArrayFieldVector(ArrayFieldVector<T>) - Constructor for class org.apache.commons.math.linear.ArrayFieldVector
Construct a vector from another vector, using a deep copy.
ArrayFieldVector(ArrayFieldVector<T>, boolean) - Constructor for class org.apache.commons.math.linear.ArrayFieldVector
Construct a vector from another vector.
ArrayFieldVector(ArrayFieldVector<T>, ArrayFieldVector<T>) - Constructor for class org.apache.commons.math.linear.ArrayFieldVector
Construct a vector by appending one vector to another vector.
ArrayFieldVector(ArrayFieldVector<T>, T[]) - Constructor for class org.apache.commons.math.linear.ArrayFieldVector
Construct a vector by appending one vector to another vector.
ArrayFieldVector(T[], ArrayFieldVector<T>) - Constructor for class org.apache.commons.math.linear.ArrayFieldVector
Construct a vector by appending one vector to another vector.
ArrayFieldVector(T[], T[]) - Constructor for class org.apache.commons.math.linear.ArrayFieldVector
Construct a vector by appending one vector to another vector.
ArrayFieldVector(Field<T>, T[], T[]) - Constructor for class org.apache.commons.math.linear.ArrayFieldVector
Construct a vector by appending one vector to another vector.
ArrayMathUtils - Class in jhplot.math
Arrays are faster than object, so this class is here to take full advantage of arrays without encapsulation.
ArrayRealVector - Class in org.apache.commons.math.linear
This class implements the RealVector interface with a double array.
ArrayRealVector() - Constructor for class org.apache.commons.math.linear.ArrayRealVector
Build a 0-length vector.
ArrayRealVector(int) - Constructor for class org.apache.commons.math.linear.ArrayRealVector
Construct a (size)-length vector of zeros.
ArrayRealVector(int, double) - Constructor for class org.apache.commons.math.linear.ArrayRealVector
Construct an (size)-length vector with preset values.
ArrayRealVector(double[]) - Constructor for class org.apache.commons.math.linear.ArrayRealVector
Construct a vector from an array, copying the input array.
ArrayRealVector(double[], boolean) - Constructor for class org.apache.commons.math.linear.ArrayRealVector
Create a new ArrayRealVector using the input array as the underlying data array.
ArrayRealVector(double[], int, int) - Constructor for class org.apache.commons.math.linear.ArrayRealVector
Construct a vector from part of a array.
ArrayRealVector(Double[]) - Constructor for class org.apache.commons.math.linear.ArrayRealVector
Construct a vector from an array.
ArrayRealVector(Double[], int, int) - Constructor for class org.apache.commons.math.linear.ArrayRealVector
Construct a vector from part of a Double array
ArrayRealVector(RealVector) - Constructor for class org.apache.commons.math.linear.ArrayRealVector
Construct a vector from another vector, using a deep copy.
ArrayRealVector(ArrayRealVector) - Constructor for class org.apache.commons.math.linear.ArrayRealVector
Construct a vector from another vector, using a deep copy.
ArrayRealVector(ArrayRealVector, boolean) - Constructor for class org.apache.commons.math.linear.ArrayRealVector
Construct a vector from another vector.
ArrayRealVector(ArrayRealVector, ArrayRealVector) - Constructor for class org.apache.commons.math.linear.ArrayRealVector
Construct a vector by appending one vector to another vector.
ArrayRealVector(ArrayRealVector, RealVector) - Constructor for class org.apache.commons.math.linear.ArrayRealVector
Construct a vector by appending one vector to another vector.
ArrayRealVector(RealVector, ArrayRealVector) - Constructor for class org.apache.commons.math.linear.ArrayRealVector
Construct a vector by appending one vector to another vector.
ArrayRealVector(ArrayRealVector, double[]) - Constructor for class org.apache.commons.math.linear.ArrayRealVector
Construct a vector by appending one vector to another vector.
ArrayRealVector(double[], ArrayRealVector) - Constructor for class org.apache.commons.math.linear.ArrayRealVector
Construct a vector by appending one vector to another vector.
ArrayRealVector(double[], double[]) - Constructor for class org.apache.commons.math.linear.ArrayRealVector
Construct a vector by appending one vector to another vector.
ArrayString - Class in jhplot.math.io
BSD License
ArrayString() - Constructor for class jhplot.math.io.ArrayString
 
Arrow - Class in jhplot.shapes
Build an arrow.
Arrow(double, double, double, double, Stroke, Color) - Constructor for class jhplot.shapes.Arrow
Build an arrow
Arrow(double, double, double, double) - Constructor for class jhplot.shapes.Arrow
Build an arrow in
ARROW - Static variable in class jhplot.shapes.HShape
 
ASCIIFile - Class in jhplot.math.io
BSD License
ASCIIFile(File) - Constructor for class jhplot.math.io.ASCIIFile
 
asCollector(BivariateRealFunction, double) - Method in class org.apache.commons.math.analysis.ComposableFunction
Generates a function that iteratively apply instance function on all elements of an array.
asCollector(BivariateRealFunction) - Method in class org.apache.commons.math.analysis.ComposableFunction
Generates a function that iteratively apply instance function on all elements of an array.
asCollector(double) - Method in class org.apache.commons.math.analysis.ComposableFunction
Generates a function that iteratively apply instance function on all elements of an array.
asCollector() - Method in class org.apache.commons.math.analysis.ComposableFunction
Generates a function that iteratively apply instance function on all elements of an array.
asin(ValueErr) - Static method in class jhplot.math.ValueErr
Inverse sine of a value with error
ASIN - Static variable in class org.apache.commons.math.analysis.ComposableFunction
The FastMath.asin method wrapped as a ComposableFunction.
asin() - Method in class org.apache.commons.math.complex.Complex
Compute the inverse sine of this complex number.
asin(Dfp) - Static method in class org.apache.commons.math.dfp.DfpMath
computes the arc-sine of the argument.
asin(double) - Static method in class org.apache.commons.math.util.FastMath
Compute the arc sine of a number.
asinh(double) - Static method in class jhplot.math.num.special.Trigonometric
Returns the inverse hyperbolic sine of x.
asinh(ValueErr) - Static method in class jhplot.math.ValueErr
Inverse hyperbolic sine of a value with error
asinh(double) - Static method in class org.apache.commons.math.util.FastMath
Compute the inverse hyperbolic sine of a number.
assignToCluster(int) - Method in class jminhep.cluster.DataPoint
Assigns the data point to a cluster
atan(ValueErr) - Static method in class jhplot.math.ValueErr
inverse tangent of a value
ATAN - Static variable in class org.apache.commons.math.analysis.ComposableFunction
The FastMath.atan method wrapped as a ComposableFunction.
atan() - Method in class org.apache.commons.math.complex.Complex
Compute the inverse tangent of this complex number.
atan(Dfp) - Static method in class org.apache.commons.math.dfp.DfpMath
computes the arc tangent of the argument Uses the typical taylor series but may reduce arguments using the following identity tan(x+y) = (tan(x) + tan(y)) / (1 - tan(x)*tan(y)) since tan(PI/8) = sqrt(2)-1, atan(x) = atan( (x - sqrt(2) + 1) / (1+x*sqrt(2) - x) + PI/8.0
atan(double) - Static method in class org.apache.commons.math.util.FastMath
Arctangent function
atan2(ValueErr, ValueErr) - Static method in class jhplot.math.ValueErr
Inverse tangent (atan2) of a value without correlations
atan2(ValueErr, ValueErr, double) - Static method in class jhplot.math.ValueErr
Inverse tangent (atan2) of a value with a correlation
ATAN2 - Static variable in class org.apache.commons.math.analysis.BinaryFunction
Deprecated. The FastMath.atan2 method wrapped as a BinaryFunction.
atan2(double, double) - Static method in class org.apache.commons.math.util.FastMath
Two arguments arctangent function
atanh(double) - Static method in class jhplot.math.num.special.Trigonometric
Returns the inverse hyperbolic tangent of x.
atanh(double) - Static method in class org.apache.commons.math.util.FastMath
Compute the inverse hyperbolic tangent of a number.
auto() - Method in class jhplot.bsom.BsomDemo
Set auto mode
AUTO_BOUNDS - Static variable in class jhplot.math.Slicing
 
availableFitEngines() - Method in class hep.aida.ref.fitter.FitFactory
Get the list the fit engines provided by the used implementation (e.g.
availableFitMethods() - Method in class hep.aida.ref.fitter.FitFactory
Get the list the fit methods provided by the used implementation (e.g.
axis() - Method in class hep.aida.ref.histogram.Histogram1D
Get the X axis.
axis() - Method in class hep.aida.ref.histogram.Profile1D
 
axisExponent(int) - Method in class jhplot.jadraw.JaAxes
Get exponent for the axis
axisLengthX() - Method in class jhplot.HPlot
Length of X axis in pixels.
axisLengthY() - Method in class jhplot.HPlot
Length of Y axis in pixels.

B

baseEditPanel(JaxoLineOptionsPanel) - Method in class jhplot.jadraw.JaLineObject
Adds components to the edit panel that are common to all line objects.
BaseModelFunction - Class in hep.aida.ref.function
 
BaseModelFunction(String, String, IFunction) - Constructor for class hep.aida.ref.function.BaseModelFunction
 
BaseModelFunction(String, String, FunctionCore, FunctionCore) - Constructor for class hep.aida.ref.function.BaseModelFunction
 
BaseRecordsFile - Class in jhplot.io
 
BasicBinner1D - Class in hep.aida.ref.histogram.binner
 
BasicBinner1D(int) - Constructor for class hep.aida.ref.histogram.binner.BasicBinner1D
 
BasicBinner1D(Binner1D) - Constructor for class hep.aida.ref.histogram.binner.BasicBinner1D
 
BasicBinner2D - Class in hep.aida.ref.histogram.binner
 
BasicBinner2D(int, int) - Constructor for class hep.aida.ref.histogram.binner.BasicBinner2D
Creates a new instance of OneDBinner.
BasicBinner3D - Class in hep.aida.ref.histogram.binner
 
BasicBinner3D(int, int, int) - Constructor for class hep.aida.ref.histogram.binner.BasicBinner3D
Creates a new instance of OneDBinner.
BatchAnalysisFactory - Class in hep.aida.ref
 
BatchAnalysisFactory() - Constructor for class hep.aida.ref.BatchAnalysisFactory
 
BB_MAX_X - Static variable in class jhplot.jadraw.JaObject
The component of the boundingbox array that contains the upper x value of the boundingbox.
BB_MAX_Y - Static variable in class jhplot.jadraw.JaObject
The component of the boundingbox array that contains the upper y value of the boundingbox.
BB_MIN_X - Static variable in class jhplot.jadraw.JaObject
The component of the boundingbox array that contains the lower x value of the boundingbox.
BB_MIN_Y - Static variable in class jhplot.jadraw.JaObject
The component of the boundingbox array that contains the lower y value of the boundingbox.
belowWithin(Rectangle, Dimension) - Static method in class jhplot.v3d.Util
 
belowWithin(Component, Component) - Static method in class jhplot.v3d.Util
 
BernoulliRandomVariable - Class in jhplot.math.num.random
A random variable generator for the Bernoulli distribution.
BernoulliRandomVariable() - Constructor for class jhplot.math.num.random.BernoulliRandomVariable
Default constructor.
BernoulliRandomVariable(double) - Constructor for class jhplot.math.num.random.BernoulliRandomVariable
Create a random variable with the given probability of success.
BernoulliRandomVariable(double, RNG) - Constructor for class jhplot.math.num.random.BernoulliRandomVariable
Create a random variable with the given probability of success and source generator.
Beta - Class in jhplot.math.num.pdf
The Beta distribution (1).
Beta() - Constructor for class jhplot.math.num.pdf.Beta
Default constructor.
Beta(double, double) - Constructor for class jhplot.math.num.pdf.Beta
Create a distribution with the given alpha and beta values.
Beta - Class in jhplot.math.num.special
Utility class that provides methods related to the beta family of functions.
beta(double, double) - Static method in class jhplot.math.Random
Generate a random number from a beta random variable.
Beta - Class in org.apache.commons.math.special
This is a utility class that provides computation methods related to the Beta family of functions.
BetaDistribution - Interface in org.apache.commons.math.distribution
Computes the cumulative, inverse cumulative and density functions for the beta distribuiton.
BetaDistributionImpl - Class in org.apache.commons.math.distribution
Implements the Beta distribution.
BetaDistributionImpl(double, double, double) - Constructor for class org.apache.commons.math.distribution.BetaDistributionImpl
Build a new instance.
BetaDistributionImpl(double, double) - Constructor for class org.apache.commons.math.distribution.BetaDistributionImpl
Build a new instance.
BetaRandomVariable - Class in jhplot.math.num.random
A random variable generator for the Beta distribution.
BetaRandomVariable() - Constructor for class jhplot.math.num.random.BetaRandomVariable
Default constructor.
BetaRandomVariable(double, double) - Constructor for class jhplot.math.num.random.BetaRandomVariable
Create a random variable with the given alpha and beta values.
BetaRandomVariable(double, double, RNG) - Constructor for class jhplot.math.num.random.BetaRandomVariable
Create a random variable with the given parameters.
BicubicSplineInterpolatingFunction - Class in org.apache.commons.math.analysis.interpolation
Function that implements the bicubic spline interpolation.
BicubicSplineInterpolatingFunction(double[], double[], double[][], double[][], double[][], double[][]) - Constructor for class org.apache.commons.math.analysis.interpolation.BicubicSplineInterpolatingFunction
 
BicubicSplineInterpolator - Class in org.apache.commons.math.analysis.interpolation
Generates a bicubic interpolating function.
BicubicSplineInterpolator() - Constructor for class org.apache.commons.math.analysis.interpolation.BicubicSplineInterpolator
 
BIG_ENDIAN - Static variable in class jhplot.math.io.BinaryFile
 
BIG_ENDIAN - Static variable in class jhplot.math.io.BinaryInputStream
 
BIG_ENDIAN - Static variable in class jhplot.math.io.BinaryOutputStream
 
bigDecimalValue() - Method in class org.apache.commons.math.fraction.BigFraction
Gets the fraction as a BigDecimal.
bigDecimalValue(int) - Method in class org.apache.commons.math.fraction.BigFraction
Gets the fraction as a BigDecimal following the passed rounding mode.
bigDecimalValue(int, int) - Method in class org.apache.commons.math.fraction.BigFraction
Gets the fraction as a BigDecimal following the passed scale and rounding mode.
bigDecimalValue() - Method in class org.apache.commons.math.util.BigReal
Get the BigDecimal value corresponding to the instance.
BigFraction - Class in org.apache.commons.math.fraction
Representation of a rational number without any overflow.
BigFraction(BigInteger) - Constructor for class org.apache.commons.math.fraction.BigFraction
Create a BigFraction equivalent to the passed BigInteger, ie "num / 1".
BigFraction(BigInteger, BigInteger) - Constructor for class org.apache.commons.math.fraction.BigFraction
Create a BigFraction given the numerator and denominator as BigInteger.
BigFraction(double) - Constructor for class org.apache.commons.math.fraction.BigFraction
Create a fraction given the double value.
BigFraction(double, double, int) - Constructor for class org.apache.commons.math.fraction.BigFraction
Create a fraction given the double value and maximum error allowed.
BigFraction(double, int) - Constructor for class org.apache.commons.math.fraction.BigFraction
Create a fraction given the double value and maximum denominator.
BigFraction(int) - Constructor for class org.apache.commons.math.fraction.BigFraction
Create a BigFraction equivalent to the passed int, ie "num / 1".
BigFraction(int, int) - Constructor for class org.apache.commons.math.fraction.BigFraction
Create a BigFraction given the numerator and denominator as simple int.
BigFraction(long) - Constructor for class org.apache.commons.math.fraction.BigFraction
Create a BigFraction equivalent to the passed long, ie "num / 1".
BigFraction(long, long) - Constructor for class org.apache.commons.math.fraction.BigFraction
Create a BigFraction given the numerator and denominator as simple long.
BigFractionField - Class in org.apache.commons.math.fraction
Representation of the fractional numbers without any overflow field.
BigFractionFormat - Class in org.apache.commons.math.fraction
Formats a BigFraction number in proper format or improper format.
BigFractionFormat() - Constructor for class org.apache.commons.math.fraction.BigFractionFormat
Create an improper formatting instance with the default number format for the numerator and denominator.
BigFractionFormat(NumberFormat) - Constructor for class org.apache.commons.math.fraction.BigFractionFormat
Create an improper formatting instance with a custom number format for both the numerator and denominator.
BigFractionFormat(NumberFormat, NumberFormat) - Constructor for class org.apache.commons.math.fraction.BigFractionFormat
Create an improper formatting instance with a custom number format for the numerator and a custom number format for the denominator.
bigFractionMatrixToRealMatrix(FieldMatrix<BigFraction>) - Static method in class org.apache.commons.math.linear.MatrixUtils
Convert a FieldMatrix/BigFraction matrix to a RealMatrix.
BigMatrix - Interface in org.apache.commons.math.linear
Deprecated. as of 2.0, replaced by FieldMatrix with a BigReal parameter
BigMatrixImpl - Class in org.apache.commons.math.linear
Deprecated. as of 2.0, replaced by Array2DRowFieldMatrix with a BigReal parameter
BigMatrixImpl() - Constructor for class org.apache.commons.math.linear.BigMatrixImpl
Deprecated. Creates a matrix with no data
BigMatrixImpl(int, int) - Constructor for class org.apache.commons.math.linear.BigMatrixImpl
Deprecated. Create a new BigMatrix with the supplied row and column dimensions.
BigMatrixImpl(BigDecimal[][]) - Constructor for class org.apache.commons.math.linear.BigMatrixImpl
Deprecated. Create a new BigMatrix using d as the underlying data array.
BigMatrixImpl(BigDecimal[][], boolean) - Constructor for class org.apache.commons.math.linear.BigMatrixImpl
Deprecated. Create a new BigMatrix using the input array as the underlying data array.
BigMatrixImpl(double[][]) - Constructor for class org.apache.commons.math.linear.BigMatrixImpl
Deprecated. Create a new BigMatrix using d as the underlying data array.
BigMatrixImpl(String[][]) - Constructor for class org.apache.commons.math.linear.BigMatrixImpl
Deprecated. Create a new BigMatrix using the values represented by the strings in d as the underlying data array.
BigMatrixImpl(BigDecimal[]) - Constructor for class org.apache.commons.math.linear.BigMatrixImpl
Deprecated. Create a new (column) BigMatrix using v as the data for the unique column of the v.length x 1 matrix created.
BigReal - Class in org.apache.commons.math.util
Arbitrary precision decimal number.
BigReal(BigDecimal) - Constructor for class org.apache.commons.math.util.BigReal
Build an instance from a BigDecimal.
BigReal(BigInteger) - Constructor for class org.apache.commons.math.util.BigReal
Build an instance from a BigInteger.
BigReal(BigInteger, int) - Constructor for class org.apache.commons.math.util.BigReal
Build an instance from an unscaled BigInteger.
BigReal(BigInteger, int, MathContext) - Constructor for class org.apache.commons.math.util.BigReal
Build an instance from an unscaled BigInteger.
BigReal(BigInteger, MathContext) - Constructor for class org.apache.commons.math.util.BigReal
Build an instance from a BigInteger.
BigReal(char[]) - Constructor for class org.apache.commons.math.util.BigReal
Build an instance from a characters representation.
BigReal(char[], int, int) - Constructor for class org.apache.commons.math.util.BigReal
Build an instance from a characters representation.
BigReal(char[], int, int, MathContext) - Constructor for class org.apache.commons.math.util.BigReal
Build an instance from a characters representation.
BigReal(char[], MathContext) - Constructor for class org.apache.commons.math.util.BigReal
Build an instance from a characters representation.
BigReal(double) - Constructor for class org.apache.commons.math.util.BigReal
Build an instance from a double.
BigReal(double, MathContext) - Constructor for class org.apache.commons.math.util.BigReal
Build an instance from a double.
BigReal(int) - Constructor for class org.apache.commons.math.util.BigReal
Build an instance from an int.
BigReal(int, MathContext) - Constructor for class org.apache.commons.math.util.BigReal
Build an instance from an int.
BigReal(long) - Constructor for class org.apache.commons.math.util.BigReal
Build an instance from a long.
BigReal(long, MathContext) - Constructor for class org.apache.commons.math.util.BigReal
Build an instance from a long.
BigReal(String) - Constructor for class org.apache.commons.math.util.BigReal
Build an instance from a String representation.
BigReal(String, MathContext) - Constructor for class org.apache.commons.math.util.BigReal
Build an instance from a String representation.
BigRealField - Class in org.apache.commons.math.util
Representation of real numbers with arbitrary precision field.
BinaryChromosome - Class in org.apache.commons.math.genetics
Chromosome represented by a vector of 0s and 1s.
BinaryChromosome(List<Integer>) - Constructor for class org.apache.commons.math.genetics.BinaryChromosome
Constructor.
BinaryChromosome(Integer[]) - Constructor for class org.apache.commons.math.genetics.BinaryChromosome
Constructor.
BinaryFile - Class in jhplot.math.io
BSD License
BinaryFile(File, String) - Constructor for class jhplot.math.io.BinaryFile
 
BinaryFunction - Class in org.apache.commons.math.analysis
Deprecated. in 2.2
BinaryFunction() - Constructor for class org.apache.commons.math.analysis.BinaryFunction
Deprecated.  
BinaryInputStream - Class in jhplot.math.io
BSD License
BinaryInputStream(InputStream, String) - Constructor for class jhplot.math.io.BinaryInputStream
 
BinaryInputStream(InputStream, boolean) - Constructor for class jhplot.math.io.BinaryInputStream
 
BinaryMutation - Class in org.apache.commons.math.genetics
Mutation for BinaryChromosomes.
BinaryMutation() - Constructor for class org.apache.commons.math.genetics.BinaryMutation
 
BinaryOutputStream - Class in jhplot.math.io
BSD License
BinaryOutputStream(OutputStream, String) - Constructor for class jhplot.math.io.BinaryOutputStream
 
BinaryOutputStream(OutputStream, boolean) - Constructor for class jhplot.math.io.BinaryOutputStream
 
binCenter(int) - Method in class hep.aida.ref.histogram.binner.AbstractBinner1D
 
binCenter(int) - Method in interface hep.aida.ref.histogram.binner.Binner1D
This method can be used to improve accuracy of the bin RMB and MEAN calculations.
binCenter(int) - Method in class hep.aida.ref.histogram.FixedAxis
 
binCenter(int) - Method in class hep.aida.ref.histogram.VariableAxis
 
binCenter(int) - Method in class jhplot.H1D
Get bin centres.
binCenter(int) - Method in class jhplot.HProf1D
Get bin centres.
binCenters() - Method in class jhplot.H1D
Get all bin centers in form of array
binCenters() - Method in class jhplot.HProf1D
Get all bin centers in form of array
binEntries(int) - Method in class hep.aida.ref.histogram.Histogram1D
Number of entries in the corresponding bin (ie the number of times fill was called for this bin).
binEntries(int, int) - Method in class hep.aida.ref.histogram.Histogram2D
Number of entries in the corresponding bin (ie the number of times fill was called for this bin).
binEntries(int, int, int) - Method in class hep.aida.ref.histogram.Histogram3D
Number of entries in the corresponding bin (ie the number of times fill was called for this bin).
binEntries(int) - Method in class hep.aida.ref.histogram.Profile1D
 
binEntries(int, int) - Method in class hep.aida.ref.histogram.Profile2D
 
binEntries(int) - Method in class jhplot.H1D
Number of entries in a bin with index i
binEntries() - Method in class jhplot.H1D
Get all entries of the histogram as an array
binEntries(int, int) - Method in class jhplot.H2D
Number of entries in the corresponding bin (i.e.
binEntries(int) - Method in class jhplot.HProf1D
Number of entries in a bin with index i
binEntries() - Method in class jhplot.HProf1D
Get all entries of the histogram as an array
binEntries(int, int) - Method in class jhplot.HProf2D
Number of entries in the corresponding bin (i.e.
binEntriesX(int) - Method in class hep.aida.ref.histogram.Histogram2D
Number of entries with a given x bin number (ie the number of times fill was called for these bins).
binEntriesX(int) - Method in class hep.aida.ref.histogram.Histogram3D
Number of entries with a given x bin number (ie the number of times fill was called for these bins).
binEntriesX(int) - Method in class hep.aida.ref.histogram.Profile2D
 
binEntriesY(int) - Method in class hep.aida.ref.histogram.Histogram2D
Number of entries with a given y bin number (ie the number of times fill was called for these bins).
binEntriesY(int) - Method in class hep.aida.ref.histogram.Histogram3D
Number of entries with a given x bin number (ie the number of times fill was called for these bins).
binEntriesY(int) - Method in class hep.aida.ref.histogram.Profile2D
 
binEntriesZ(int) - Method in class hep.aida.ref.histogram.Histogram3D
Number of entries with a given x bin number (ie the number of times fill was called for these bins).
BinError - Interface in hep.aida.ref.dataset.binner
Classes implementing this interfaces calculate the plus and minus error on a bin given its entries and height.
binError(int) - Method in class hep.aida.ref.histogram.Histogram1D
The error on this bin.
binError(int, int) - Method in class hep.aida.ref.histogram.Histogram2D
The error on this bin.
binError(int, int, int) - Method in class hep.aida.ref.histogram.Histogram3D
The error on this bin.
binError(int) - Method in class hep.aida.ref.histogram.Profile1D
 
binError(int, int) - Method in class hep.aida.ref.histogram.Profile2D
 
binError(int) - Method in class jhplot.H1D
Error on the bin with index i
binError(int, int) - Method in class jhplot.H2D
Error of the corresponding bin.
binError(int) - Method in class jhplot.HProf1D
Error on the bin with index i
binError(int, int) - Method in class jhplot.HProf2D
Error of the corresponding bin.
binErrors() - Method in class jhplot.H1D
Get all bin errors of the histogram as an array
binErrors() - Method in class jhplot.HProf1D
Get all bin errors of the histogram as an array
binHeight(int) - Method in class hep.aida.ref.histogram.Histogram1D
Total height of the corresponding bin.
binHeight(int, int) - Method in class hep.aida.ref.histogram.Histogram2D
Total height of the corresponding bin.
binHeight(int, int, int) - Method in class hep.aida.ref.histogram.Histogram3D
Total height of the corresponding bin.
binHeight(int) - Method in class hep.aida.ref.histogram.Profile1D
 
binHeight(int, int) - Method in class hep.aida.ref.histogram.Profile2D
 
binHeight(int) - Method in class jhplot.H1D
Height of the corresponding bin
binHeight(int, int) - Method in class jhplot.H2D
Total height of the corresponding bin.
binHeight(int) - Method in class jhplot.HProf1D
Height of the corresponding bin
binHeight(int, int) - Method in class jhplot.HProf2D
Total height of the corresponding bin.
binHeights() - Method in class jhplot.H1D
Get all heights of the histogram as an array
binHeights() - Method in class jhplot.HProf1D
Get all heights of the histogram as an array
binHeightX(int) - Method in class hep.aida.ref.histogram.Histogram2D
Total height of the corresponding x bin along y.
binHeightX(int) - Method in class hep.aida.ref.histogram.Histogram3D
Total height of the corresponding x bin along y and z.
binHeightX(int) - Method in class hep.aida.ref.histogram.Profile2D
 
binHeightY(int) - Method in class hep.aida.ref.histogram.Histogram2D
Total height of the corresponding y bin along x.
binHeightY(int) - Method in class hep.aida.ref.histogram.Histogram3D
Total height of the corresponding y bin along x and z.
binHeightY(int) - Method in class hep.aida.ref.histogram.Profile2D
 
binHeightZ(int) - Method in class hep.aida.ref.histogram.Histogram3D
Total height of the corresponding z bin along x and y.
binLowerEdge(int) - Method in class hep.aida.ref.histogram.FixedAxis
Get the lower edge of a bin.
binLowerEdge(int) - Method in class hep.aida.ref.histogram.VariableAxis
 
binLowerEdge(int) - Method in class jhplot.H1D
Get bin lower edge.
binLowerEdge(int) - Method in class jhplot.HProf1D
Get bin lower edge.
binLowerEdges() - Method in class jhplot.H1D
Get all lower edges in form of array
binLowerEdges() - Method in class jhplot.HProf1D
Get all lower edges in form of array
binMean(int) - Method in class hep.aida.ref.histogram.Histogram1D
Get the mean of a bin.
binMean(int) - Method in class hep.aida.ref.histogram.Profile1D
 
binMean(int) - Method in class jhplot.H1D
Mean in a single bin with index
binMean(int) - Method in class jhplot.HProf1D
Mean in a single bin with index
binMeanX(int, int) - Method in class hep.aida.ref.histogram.Histogram2D
Get the mean of a bin along the x axis.
binMeanX(int, int, int) - Method in class hep.aida.ref.histogram.Histogram3D
Get the mean of a bin along the x axis.
binMeanX(int, int) - Method in class hep.aida.ref.histogram.Profile2D
 
binMeanY(int, int) - Method in class hep.aida.ref.histogram.Histogram2D
Get the mean of a bin along the y axis.
binMeanY(int, int, int) - Method in class hep.aida.ref.histogram.Histogram3D
Get the mean of a bin along the y axis.
binMeanY(int, int) - Method in class hep.aida.ref.histogram.Profile2D
 
binMeanZ(int, int, int) - Method in class hep.aida.ref.histogram.Histogram3D
Get the mean of a bin along the z axis.
BinnedMaximumLikelihoodFitMethod - Class in hep.aida.ref.fitter.fitmethod
 
BinnedMaximumLikelihoodFitMethod() - Constructor for class hep.aida.ref.fitter.fitmethod.BinnedMaximumLikelihoodFitMethod
 
Binner - Interface in hep.aida.ref.dataset.binner
A binner is responsible to keep track of the bins statistics for a binned data container in n-dimensions.
binner() - Method in class hep.aida.ref.histogram.Histogram1D
 
Binner1D - Interface in hep.aida.ref.histogram.binner
 
Binner2D - Interface in hep.aida.ref.histogram.binner
 
Binner3D - Interface in hep.aida.ref.histogram.binner
 
BinnerMath - Class in hep.aida.ref.histogram.binner
 
BinnerMath() - Constructor for class hep.aida.ref.histogram.binner.BinnerMath
 
Binomial - Class in jhplot.math.num.pdf
The Binomial distribution.
Binomial() - Constructor for class jhplot.math.num.pdf.Binomial
Default constructor.
Binomial(int, double) - Constructor for class jhplot.math.num.pdf.Binomial
Create a distribution with the given number of trials and probability of success.
binomialCoefficient(int, int) - Static method in class org.apache.commons.math.util.MathUtils
Returns an exact representation of the Binomial Coefficient, "n choose k", the number of k-element subsets that can be selected from an n-element set.
binomialCoefficientDouble(int, int) - Static method in class org.apache.commons.math.util.MathUtils
Returns a double representation of the Binomial Coefficient, "n choose k", the number of k-element subsets that can be selected from an n-element set.
binomialCoefficientLog(int, int) - Static method in class org.apache.commons.math.util.MathUtils
Returns the natural log of the Binomial Coefficient, "n choose k", the number of k-element subsets that can be selected from an n-element set.
BinomialDistribution - Interface in org.apache.commons.math.distribution
The Binomial Distribution.
BinomialDistributionImpl - Class in org.apache.commons.math.distribution
The default implementation of BinomialDistribution.
BinomialDistributionImpl(int, double) - Constructor for class org.apache.commons.math.distribution.BinomialDistributionImpl
Create a binomial distribution with the given number of trials and probability of success.
BinomialRandomVariable - Class in jhplot.math.num.random
 
BinomialRandomVariable() - Constructor for class jhplot.math.num.random.BinomialRandomVariable
Default constructor.
BinomialRandomVariable(int, double) - Constructor for class jhplot.math.num.random.BinomialRandomVariable
Create a random variable with the given number of trials and probability of success.
BinomialRandomVariable(int, double, RNG) - Constructor for class jhplot.math.num.random.BinomialRandomVariable
Create a random variable with the given parameters.
binRms(int) - Method in class hep.aida.ref.histogram.Histogram1D
Get the RMS of a bin.
binRms(int) - Method in class hep.aida.ref.histogram.Profile1D
 
binRms(int, int) - Method in class hep.aida.ref.histogram.Profile2D
 
binRms(int) - Method in class jhplot.H1D
RMS of a single bin with index
binRms(int) - Method in class jhplot.HProf1D
RMS of a single bin with index
binRmsX(int, int) - Method in class hep.aida.ref.histogram.Histogram2D
Get the RMS of a bin along the x axis.
binRmsX(int, int, int) - Method in class hep.aida.ref.histogram.Histogram3D
Get the RMS of a bin along the x axis.
binRmsY(int, int) - Method in class hep.aida.ref.histogram.Histogram2D
Get the RMS of a bin along the y axis.
binRmsY(int, int, int) - Method in class hep.aida.ref.histogram.Histogram3D
Get the RMS of a bin along the y axis.
binRmsZ(int, int, int) - Method in class hep.aida.ref.histogram.Histogram3D
Get the RMS of a bin along the z axis.
bins() - Method in class hep.aida.ref.histogram.binner.AbstractBinner1D
 
bins() - Method in interface hep.aida.ref.histogram.binner.Binner1D
 
bins() - Method in class hep.aida.ref.histogram.FixedAxis
Get the number of bins in the Axis.
bins() - Method in class hep.aida.ref.histogram.VariableAxis
 
binUpperEdge(int) - Method in class hep.aida.ref.histogram.FixedAxis
Get the upper edge of a bin.
binUpperEdge(int) - Method in class hep.aida.ref.histogram.VariableAxis
 
binUpperEdge(int) - Method in class jhplot.H1D
Get bin upper edge.
binUpperEdge(int) - Method in class jhplot.HProf1D
Get bin upper edge.
binUpperEdges() - Method in class jhplot.H1D
Get all upper edges in form of array
binUpperEdges() - Method in class jhplot.HProf1D
Get all upper edges in form of array
binWidth(int) - Method in class hep.aida.ref.histogram.FixedAxis
Get the bin width.
binWidth(int) - Method in class hep.aida.ref.histogram.VariableAxis
 
BisectionRootFinder - Class in jhplot.math.num.root
The bisection method (1) for finding roots of functions.
BisectionRootFinder(Function) - Constructor for class jhplot.math.num.root.BisectionRootFinder
Create a root finder for the given function.
BisectionRootFinder(Function, int, double) - Constructor for class jhplot.math.num.root.BisectionRootFinder
Create a root finder for the given function.
BisectionSolver - Class in org.apache.commons.math.analysis.solvers
Implements the bisection algorithm for finding zeros of univariate real functions.
BisectionSolver(UnivariateRealFunction) - Constructor for class org.apache.commons.math.analysis.solvers.BisectionSolver
Deprecated. as of 2.0 the function to solve is passed as an argument to the BisectionSolver.solve(UnivariateRealFunction, double, double) or UnivariateRealSolver.solve(UnivariateRealFunction, double, double, double) method.
BisectionSolver() - Constructor for class org.apache.commons.math.analysis.solvers.BisectionSolver
Construct a solver.
BitsStreamGenerator - Class in org.apache.commons.math.random
Base class for random number generators that generates bits streams.
BitsStreamGenerator() - Constructor for class org.apache.commons.math.random.BitsStreamGenerator
Creates a new random number generator.
BivariateRealFunction - Interface in org.apache.commons.math.analysis
An interface representing a bivariate real function.
BivariateRealGridInterpolator - Interface in org.apache.commons.math.analysis.interpolation
Interface representing a bivariate real interpolating function where the sample points must be specified on a regular grid.
Blob(float, float) - Static method in class jhplot.jadraw.Diagram
Get a blob object
BLOCK_SIZE - Static variable in class org.apache.commons.math.linear.BlockFieldMatrix
Block size.
BLOCK_SIZE - Static variable in class org.apache.commons.math.linear.BlockRealMatrix
Block size.
BlockFieldMatrix<T extends FieldElement<T>> - Class in org.apache.commons.math.linear
Cache-friendly implementation of FieldMatrix using a flat arrays to store square blocks of the matrix.
BlockFieldMatrix(Field<T>, int, int) - Constructor for class org.apache.commons.math.linear.BlockFieldMatrix
Create a new matrix with the supplied row and column dimensions.
BlockFieldMatrix(T[][]) - Constructor for class org.apache.commons.math.linear.BlockFieldMatrix
Create a new dense matrix copying entries from raw layout data.
BlockFieldMatrix(int, int, T[][], boolean) - Constructor for class org.apache.commons.math.linear.BlockFieldMatrix
Create a new dense matrix copying entries from block layout data.
BlockRealMatrix - Class in org.apache.commons.math.linear
Cache-friendly implementation of RealMatrix using a flat arrays to store square blocks of the matrix.
BlockRealMatrix(int, int) - Constructor for class org.apache.commons.math.linear.BlockRealMatrix
Create a new matrix with the supplied row and column dimensions.
BlockRealMatrix(double[][]) - Constructor for class org.apache.commons.math.linear.BlockRealMatrix
Create a new dense matrix copying entries from raw layout data.
BlockRealMatrix(int, int, double[][], boolean) - Constructor for class org.apache.commons.math.linear.BlockRealMatrix
Create a new dense matrix copying entries from block layout data.
boost(HEParticle) - Method in class hephysics.particle.HEParticle
Lorentz Boost
boost(LParticle) - Method in class hephysics.particle.LParticle
Lorentz Boost
boost(HepLorentzVector, Hep3Vector) - Method in class hephysics.vec.Hep3Vector
Boost fourVector with boostVector.
boost(HepLorentzVector, HepLorentzVector) - Method in class hephysics.vec.Hep3Vector
Boost fourVector into system of refFourVector.
boost(double, double, double) - Method in class hephysics.vec.HepLorentzVector
Lorentz Boost using 3-vector
boost(HepLorentzVector, Hep3Vector) - Method in class hephysics.vec.HepLorentzVector
Boost fourVector with boostVector.
boost(HepLorentzVector, HepLorentzVector) - Method in class hephysics.vec.HepLorentzVector
Boost fourVector into system of refFourVector.
boost(HepLorentzVector, Hep3Vector) - Static method in class hephysics.vec.VecOp
Boost fourVector with boostVector.
boost(HepLorentzVector, HepLorentzVector) - Static method in class hephysics.vec.VecOp
Boost fourVector into system of refFourVector.
Box(float, float) - Static method in class jhplot.jadraw.Diagram
Get a box object
Bracket - Class in jhplot.math.num.root
Simple root bracketing routine.
Bracket(Function) - Constructor for class jhplot.math.num.root.Bracket
Create a root bracketer for the given function.
Bracket(Function, int) - Constructor for class jhplot.math.num.root.Bracket
Create a root bracketer for the given function.
bracket(UnivariateRealFunction, double, double, double) - Static method in class org.apache.commons.math.analysis.solvers.UnivariateRealSolverUtils
This method attempts to find two values a and b satisfying lowerBound <= a < initial < b <= upperBound f(a) * f(b) < 0 If f is continuous on [a,b], this means that a and b bracket a root of f.
bracket(UnivariateRealFunction, double, double, double, int) - Static method in class org.apache.commons.math.analysis.solvers.UnivariateRealSolverUtils
This method attempts to find two values a and b satisfying lowerBound <= a < initial < b <= upperBound f(a) * f(b) <= 0 If f is continuous on [a,b], this means that a and b bracket a root of f.
BracketFinder - Class in org.apache.commons.math.optimization.univariate
Provide an interval that brackets a local optimum of a function.
BracketFinder() - Constructor for class org.apache.commons.math.optimization.univariate.BracketFinder
Constructor with default values 100, 50 (see the other constructor).
BracketFinder(double, int) - Constructor for class org.apache.commons.math.optimization.univariate.BracketFinder
Create a bracketing interval finder.
bracketOut(double, double, double) - Method in class jhplot.math.num.root.Bracket
Bracket a root for the target function by creating and continuously expanding an interval around the initial point until the interval is known to contain at least one root.
BreitWigner - Class in jhplot.fit
Build a Breit-Wigner distribution.
BreitWigner() - Constructor for class jhplot.fit.BreitWigner
 
BreitWigner(String) - Constructor for class jhplot.fit.BreitWigner
 
BreitWigner(String[], String[]) - Constructor for class jhplot.fit.BreitWigner
 
BrentOptimizer - Class in org.apache.commons.math.optimization.univariate
Implements Richard Brent's algorithm (from his book "Algorithms for Minimization without Derivatives", p.
BrentOptimizer() - Constructor for class org.apache.commons.math.optimization.univariate.BrentOptimizer
Construct a solver.
BrentRootFinder - Class in jhplot.math.num.root
Brent's method (1) for finding roots of functions.
BrentRootFinder(Function) - Constructor for class jhplot.math.num.root.BrentRootFinder
Create a root finder for the given function.
BrentRootFinder(Function, int, double) - Constructor for class jhplot.math.num.root.BrentRootFinder
Create a root finder for the given function.
BrentSolver - Class in org.apache.commons.math.analysis.solvers
Implements the Brent algorithm for finding zeros of real univariate functions.
BrentSolver(UnivariateRealFunction) - Constructor for class org.apache.commons.math.analysis.solvers.BrentSolver
Deprecated. as of 2.0 the function to solve is passed as an argument to the BrentSolver.solve(UnivariateRealFunction, double, double) or UnivariateRealSolver.solve(UnivariateRealFunction, double, double, double) method.
BrentSolver() - Constructor for class org.apache.commons.math.analysis.solvers.BrentSolver
Deprecated. in 2.2 (to be removed in 3.0).
BrentSolver(double) - Constructor for class org.apache.commons.math.analysis.solvers.BrentSolver
Construct a solver with the given absolute accuracy.
BrentSolver(int, double) - Constructor for class org.apache.commons.math.analysis.solvers.BrentSolver
Contstruct a solver with the given maximum iterations and absolute accuracy.
BRoot - Class in jhplot
Show Java ROOT browser to view ROOT histograms.
BRoot() - Constructor for class jhplot.BRoot
Show an empty frame with the ROOT browser
BRoot(String) - Constructor for class jhplot.BRoot
Show a frame with ROOT browser and load a file
Bsom - Class in jhplot.bsom
Bsom is an application of Bayesian Self-Organizing Maps.
Bsom() - Constructor for class jhplot.bsom.Bsom
 
bsom - Variable in class jhplot.HBsom
 
BsomDemo - Class in jhplot.bsom
BsomDemo is an applet for the demonstration of Bayesian Self-Organizing Maps.
BsomDemo() - Constructor for class jhplot.bsom.BsomDemo
 
buildMessage(Locale, Localizable, Object...) - Static method in class org.apache.commons.math.exception.util.MessageFactory
Builds a message string by from a pattern and its arguments.
buildMessage(Locale, Localizable, Localizable, Object...) - Static method in class org.apache.commons.math.exception.util.MessageFactory
Builds a message string by from two patterns (specific and general) and an argument list.
buildPads(int, int) - Method in class jhplot.HPlotJa
Build axes frames and show them.
buildXY(double, double, double[]) - Static method in class jhplot.math.DoubleArray
Generate a two column matrix.
buildXY(double[], double[]) - Static method in class jhplot.math.DoubleArray
Join two arrays into a matrix.
BunchingParameters - Class in jhplot.stat
**************************************************************************** Calculations of bunching parameters characterizing local multiplicity fluctuations inside a phase space.
BunchingParameters(int, int, int, double, double) - Constructor for class jhplot.stat.BunchingParameters
Initialize Bunching parameter.

C

calcDistance(double[], double[]) - Static method in class jminhep.cluster.Get
This method calculates the Euclidean distance between two N-ncolsional vectors.
calcMass() - Method in class hephysics.particle.LParticle
Get calculated mass as sqrt(e*e-px**2-py**2-pz**2)
calcSquaredDistance(double[], double[]) - Static method in class jminhep.cluster.Get
This method calculates the squared distance between two N-dimesional vectors.
calculateAdjustedRSquared() - Method in class org.apache.commons.math.stat.regression.OLSMultipleLinearRegression
Returns the adjusted R-squared statistic, defined by the formula
calculateHat() - Method in class org.apache.commons.math.stat.regression.OLSMultipleLinearRegression
Compute the "hat" matrix.
calculateNormalizationAmplitude() - Method in class hep.aida.ref.function.BaseModelFunction
 
calculateResidualSumOfSquares() - Method in class org.apache.commons.math.stat.regression.OLSMultipleLinearRegression
Returns the sum of squared residuals.
calculateRSquared() - Method in class org.apache.commons.math.stat.regression.OLSMultipleLinearRegression
Returns the R-Squared statistic, defined by the formula
calculateTotalSumOfSquares() - Method in class org.apache.commons.math.stat.regression.OLSMultipleLinearRegression
Returns the sum of squared deviations of Y from its mean.
Canvas3d - Class in jhplot.v3d
 
Canvas3d(Model3d) - Constructor for class jhplot.v3d.Canvas3d
 
captureHeader(CSVReader) - Method in class jhplot.io.csv.bean.ColumnPositionMappingStrategy
 
captureHeader(CSVReader) - Method in class jhplot.io.csv.bean.HeaderColumnNameMappingStrategy
 
captureHeader(CSVReader) - Method in interface jhplot.io.csv.bean.MappingStrategy
Implemention of this method can grab the header line before parsing begins to use to map columns to bean properties.
CardanEulerSingularityException - Exception in org.apache.commons.math.geometry
This class represents exceptions thrown while extractiong Cardan or Euler angles from a rotation.
CardanEulerSingularityException(boolean) - Constructor for exception org.apache.commons.math.geometry.CardanEulerSingularityException
Simple constructor.
catalog() - Method in class hep.aida.ref.function.FunctionFactory
get access to the function catalog
Cauchy - Class in jhplot.math.num.pdf
The Cauchy distribution (1).
Cauchy() - Constructor for class jhplot.math.num.pdf.Cauchy
Default constructor.
Cauchy(double, double) - Constructor for class jhplot.math.num.pdf.Cauchy
Create a distribution with the given location and scale parameters.
cauchy(double, double) - Static method in class jhplot.math.Random
Generate a random number from a Cauchy random variable (Mean = Inf, and Variance = Inf).
CauchyDistribution - Interface in org.apache.commons.math.distribution
Cauchy Distribution.
CauchyDistributionImpl - Class in org.apache.commons.math.distribution
Default implementation of CauchyDistribution.
CauchyDistributionImpl() - Constructor for class org.apache.commons.math.distribution.CauchyDistributionImpl
Creates cauchy distribution with the medain equal to zero and scale equal to one.
CauchyDistributionImpl(double, double) - Constructor for class org.apache.commons.math.distribution.CauchyDistributionImpl
Create a cauchy distribution using the given median and scale.
CauchyDistributionImpl(double, double, double) - Constructor for class org.apache.commons.math.distribution.CauchyDistributionImpl
Create a cauchy distribution using the given median and scale.
CauchyRandomVariable - Class in jhplot.math.num.random
A random variable generator for the Cauchy distribution.
CauchyRandomVariable() - Constructor for class jhplot.math.num.random.CauchyRandomVariable
Default constructor.
CauchyRandomVariable(double, double) - Constructor for class jhplot.math.num.random.CauchyRandomVariable
Create a random variable with the given location and scale parameters.
CauchyRandomVariable(double, double, RNG) - Constructor for class jhplot.math.num.random.CauchyRandomVariable
Create a random variable with the given parameters.
CBRT - Static variable in class org.apache.commons.math.analysis.ComposableFunction
The FastMath.cbrt method wrapped as a ComposableFunction.
cbrt(double) - Static method in class org.apache.commons.math.util.FastMath
Compute the cubic root of a number.
cd(String) - Method in class hep.aida.ref.tree.Tree
Change to a given directory.
cd(int, int) - Method in class jhplot.GHFrame
Navigate to a selected plot.
cd(int, int) - Method in class jhplot.HPlotJa
Navigate to a selected plot.
cd(String) - Method in class jhplot.io.FileAida
Navigate to a directory inside the file
cd(String) - Method in class jhplot.io.FileRoot
Navigate to a directory inside the ROOT file.
cdf(int, double) - Static method in class jhplot.math.KolmogorovSmirnovDist
Computes the cumulative probability P[D_n <= x] of the Kolmogorov-Smirnov distribution with sample size n at x.
CEIL - Static variable in class org.apache.commons.math.analysis.ComposableFunction
The FastMath.ceil method wrapped as a ComposableFunction.
ceil() - Method in class org.apache.commons.math.dfp.Dfp
Round to an integer using the round ceil mode.
ceil(double) - Static method in class org.apache.commons.math.util.FastMath
Get the smallest whole number larger than x.
center_reduce(double[][]) - Method in class jhplot.stat.PCA
 
centerOfMass(List<Hep3Vector>) - Method in class hephysics.vec.Hep3Vector
Return a center of mass of a list of vectors
centerOfMass(List<HepLorentzVector>) - Method in class hephysics.vec.HepLorentzVector
Return a center mass vector
centreWithin(Rectangle, Dimension) - Static method in class jhplot.v3d.Util
Calculates the X and Y coordinates that a child component should have to be centered within its parent.
centreWithin(Component, Component) - Static method in class jhplot.v3d.Util
Centres the child component within its parent.
centroidOf(Collection<T>) - Method in interface org.apache.commons.math.stat.clustering.Clusterable
Returns the centroid of the given Collection of points.
centroidOf(Collection<EuclideanIntegerPoint>) - Method in class org.apache.commons.math.stat.clustering.EuclideanIntegerPoint
Returns the centroid of the given Collection of points.
ChainedTuple - Class in hep.aida.ref.tuple
 
ChainedTuple(String, String, ITuple[]) - Constructor for class hep.aida.ref.tuple.ChainedTuple
Tuple constructor.
CHANGE_DIRECTORY - Static variable in class hep.aida.ref.event.TreeEvent
 
checkAdditionCompatible(AnyMatrix, AnyMatrix) - Static method in class org.apache.commons.math.linear.MatrixUtils
Check if matrices are addition compatible
checkColumnDimension(double[][], int) - Static method in class jhplot.math.DoubleArray
Checks to make sure each row of a matrix is of a specified dimension.
checkColumnIndex(AnyMatrix, int) - Static method in class org.apache.commons.math.linear.MatrixUtils
Check if a column index is valid.
checkForChildren(String) - Method in class hep.aida.ref.tree.Tree
This message is sent by a listener to indicate interest in a particular path within the tree.
checkLength(double[], int) - Static method in class jhplot.math.DoubleArray
Checks to make sure an array is of a specified length.
checkMultiplicationCompatible(AnyMatrix, AnyMatrix) - Static method in class org.apache.commons.math.linear.MatrixUtils
Check if matrices are multiplication compatible
checkOrder(double[], MathUtils.OrderDirection, boolean) - Static method in class org.apache.commons.math.util.MathUtils
Checks that the given array is sorted.
checkOrder(double[]) - Static method in class org.apache.commons.math.util.MathUtils
Checks that the given array is sorted in strictly increasing order.
checkOrder(double[], int, boolean) - Static method in class org.apache.commons.math.util.MathUtils
Deprecated. as of 2.2 (please use the new checkOrder method). To be removed in 3.0.
checkRowDimension(double[][], int) - Static method in class jhplot.math.DoubleArray
Checks to make sure each column of a matrix is of a specified dimension.
checkRowIndex(AnyMatrix, int) - Static method in class org.apache.commons.math.linear.MatrixUtils
Check if a row index is valid.
checkSubMatrixIndex(AnyMatrix, int, int, int, int) - Static method in class org.apache.commons.math.linear.MatrixUtils
Check if submatrix ranges indices are valid.
checkSubMatrixIndex(AnyMatrix, int[], int[]) - Static method in class org.apache.commons.math.linear.MatrixUtils
Check if submatrix ranges indices are valid.
checkSubtractionCompatible(AnyMatrix, AnyMatrix) - Static method in class org.apache.commons.math.linear.MatrixUtils
Check if matrices are subtraction compatible
chi2(int) - Static method in class jhplot.math.Random
Generate a random number from a Chi-2 random variable.
chiSquare(double[], long[]) - Method in interface org.apache.commons.math.stat.inference.ChiSquareTest
Computes the Chi-Square statistic comparing observed and expected frequency counts.
chiSquare(long[][]) - Method in interface org.apache.commons.math.stat.inference.ChiSquareTest
Computes the Chi-Square statistic associated with a chi-square test of independence based on the input counts array, viewed as a two-way table.
chiSquare(double[], long[]) - Method in class org.apache.commons.math.stat.inference.ChiSquareTestImpl
Computes the Chi-Square statistic comparing observed and expected frequency counts.
chiSquare(long[][]) - Method in class org.apache.commons.math.stat.inference.ChiSquareTestImpl
 
chiSquare(double[], long[]) - Static method in class org.apache.commons.math.stat.inference.TestUtils
 
chiSquare(long[][]) - Static method in class org.apache.commons.math.stat.inference.TestUtils
 
ChiSquared - Class in jhplot.math.num.pdf
The Chi-Squared distribution (1).
ChiSquared() - Constructor for class jhplot.math.num.pdf.ChiSquared
Default constructor.
ChiSquared(double) - Constructor for class jhplot.math.num.pdf.ChiSquared
Create a distribution with the given degrees of freedom.
chiSquareDataSetsComparison(long[], long[]) - Method in class org.apache.commons.math.stat.inference.ChiSquareTestImpl
 
chiSquareDataSetsComparison(long[], long[]) - Static method in class org.apache.commons.math.stat.inference.TestUtils
 
chiSquareDataSetsComparison(long[], long[]) - Method in interface org.apache.commons.math.stat.inference.UnknownDistributionChiSquareTest
Computes a Chi-Square two sample test statistic comparing bin frequency counts in observed1 and observed2.
ChiSquaredDistribution - Interface in org.apache.commons.math.distribution
The Chi-Squared Distribution.
ChiSquaredDistributionImpl - Class in org.apache.commons.math.distribution
The default implementation of ChiSquaredDistribution
ChiSquaredDistributionImpl(double) - Constructor for class org.apache.commons.math.distribution.ChiSquaredDistributionImpl
Create a Chi-Squared distribution with the given degrees of freedom.
ChiSquaredDistributionImpl(double, GammaDistribution) - Constructor for class org.apache.commons.math.distribution.ChiSquaredDistributionImpl
Deprecated. as of 2.1 (to avoid possibly inconsistent state, the "GammaDistribution" will be instantiated internally)
ChiSquaredDistributionImpl(double, double) - Constructor for class org.apache.commons.math.distribution.ChiSquaredDistributionImpl
Create a Chi-Squared distribution with the given degrees of freedom and inverse cumulative probability accuracy.
ChiSquaredFitMethod - Class in hep.aida.ref.fitter.fitmethod
 
ChiSquaredFitMethod() - Constructor for class hep.aida.ref.fitter.fitmethod.ChiSquaredFitMethod
 
ChiSquaredRandomVariable - Class in jhplot.math.num.random
A random variable generator for the Chi-Squared distribution.
ChiSquaredRandomVariable() - Constructor for class jhplot.math.num.random.ChiSquaredRandomVariable
Default constructor.
ChiSquaredRandomVariable(double) - Constructor for class jhplot.math.num.random.ChiSquaredRandomVariable
Create a random variable with the given degrees of freedom.
ChiSquaredRandomVariable(double, RNG) - Constructor for class jhplot.math.num.random.ChiSquaredRandomVariable
Create a random variable with the given parameters.
ChiSquareTest - Interface in org.apache.commons.math.stat.inference
An interface for Chi-Square tests.
chiSquareTest(double[], long[]) - Method in interface org.apache.commons.math.stat.inference.ChiSquareTest
Returns the observed significance level, or p-value, associated with a Chi-square goodness of fit test comparing the observed frequency counts to those in the expected array.
chiSquareTest(double[], long[], double) - Method in interface org.apache.commons.math.stat.inference.ChiSquareTest
Performs a Chi-square goodness of fit test evaluating the null hypothesis that the observed counts conform to the frequency distribution described by the expected counts, with significance level alpha.
chiSquareTest(long[][]) - Method in interface org.apache.commons.math.stat.inference.ChiSquareTest
Returns the observed significance level, or p-value, associated with a chi-square test of independence based on the input counts array, viewed as a two-way table.
chiSquareTest(long[][], double) - Method in interface org.apache.commons.math.stat.inference.ChiSquareTest
Performs a chi-square test of independence evaluating the null hypothesis that the classifications represented by the counts in the columns of the input 2-way table are independent of the rows, with significance level alpha.
chiSquareTest(double[], long[]) - Method in class org.apache.commons.math.stat.inference.ChiSquareTestImpl
Returns the observed significance level, or p-value, associated with a Chi-square goodness of fit test comparing the observed frequency counts to those in the expected array.
chiSquareTest(double[], long[], double) - Method in class org.apache.commons.math.stat.inference.ChiSquareTestImpl
Performs a Chi-square goodness of fit test evaluating the null hypothesis that the observed counts conform to the frequency distribution described by the expected counts, with significance level alpha.
chiSquareTest(long[][]) - Method in class org.apache.commons.math.stat.inference.ChiSquareTestImpl
 
chiSquareTest(long[][], double) - Method in class org.apache.commons.math.stat.inference.ChiSquareTestImpl
 
chiSquareTest(double[], long[], double) - Static method in class org.apache.commons.math.stat.inference.TestUtils
 
chiSquareTest(double[], long[]) - Static method in class org.apache.commons.math.stat.inference.TestUtils
 
chiSquareTest(long[][], double) - Static method in class org.apache.commons.math.stat.inference.TestUtils
 
chiSquareTest(long[][]) - Static method in class org.apache.commons.math.stat.inference.TestUtils
 
chiSquareTestDataSetsComparison(long[], long[]) - Method in class org.apache.commons.math.stat.inference.ChiSquareTestImpl
 
chiSquareTestDataSetsComparison(long[], long[], double) - Method in class org.apache.commons.math.stat.inference.ChiSquareTestImpl
 
chiSquareTestDataSetsComparison(long[], long[]) - Static method in class org.apache.commons.math.stat.inference.TestUtils
 
chiSquareTestDataSetsComparison(long[], long[], double) - Static method in class org.apache.commons.math.stat.inference.TestUtils
 
chiSquareTestDataSetsComparison(long[], long[]) - Method in interface org.apache.commons.math.stat.inference.UnknownDistributionChiSquareTest
Returns the observed significance level, or p-value, associated with a Chi-Square two sample test comparing bin frequency counts in observed1 and observed2.
chiSquareTestDataSetsComparison(long[], long[], double) - Method in interface org.apache.commons.math.stat.inference.UnknownDistributionChiSquareTest
Performs a Chi-Square two sample test comparing two binned data sets.
ChiSquareTestImpl - Class in org.apache.commons.math.stat.inference
Implements Chi-Square test statistics defined in the UnknownDistributionChiSquareTest interface.
ChiSquareTestImpl() - Constructor for class org.apache.commons.math.stat.inference.ChiSquareTestImpl
Construct a ChiSquareTestImpl
ChiSquareTestImpl(ChiSquaredDistribution) - Constructor for class org.apache.commons.math.stat.inference.ChiSquareTestImpl
Create a test instance using the given distribution for computing inference statistics.
cholesky(double[][]) - Static method in class jhplot.math.LinearAlgebra
 
CholeskyDecomposition - Class in jhplot.math
Cholesky Decomposition.
CholeskyDecomposition(double[][]) - Constructor for class jhplot.math.CholeskyDecomposition
Cholesky algorithm for symmetric and positive definite matrix.
CholeskyDecomposition - Interface in org.apache.commons.math.linear
An interface to classes that implement an algorithm to calculate the Cholesky decomposition of a real symmetric positive-definite matrix.
CholeskyDecompositionImpl - Class in org.apache.commons.math.linear
Calculates the Cholesky decomposition of a matrix.
CholeskyDecompositionImpl(RealMatrix) - Constructor for class org.apache.commons.math.linear.CholeskyDecompositionImpl
Calculates the Cholesky decomposition of the given matrix.
CholeskyDecompositionImpl(RealMatrix, double, double) - Constructor for class org.apache.commons.math.linear.CholeskyDecompositionImpl
Calculates the Cholesky decomposition of the given matrix.
Chromosome - Class in org.apache.commons.math.genetics
Individual in a population.
Chromosome() - Constructor for class org.apache.commons.math.genetics.Chromosome
 
ChromosomePair - Class in org.apache.commons.math.genetics
A pair of Chromosome objects.
ChromosomePair(Chromosome, Chromosome) - Constructor for class org.apache.commons.math.genetics.ChromosomePair
Create a chromosome pair.
chs() - Method in class jhplot.math.Complex
Negative of this complex number (chs stands for change sign).
Circle - Class in jhplot.shapes
Build a Circle using the USER coordinate system
Circle(double, double, double, Stroke, Color) - Constructor for class jhplot.shapes.Circle
Build a circle
Circle(double, double, double) - Constructor for class jhplot.shapes.Circle
Build a circle using the default stroke and color
CIRCLE - Static variable in class jhplot.shapes.HShape
 
classes() - Method in class org.apache.commons.math.util.TransformerMap
Returns the Set of Classes used as keys in the map.
ClassicalRungeKuttaIntegrator - Class in org.apache.commons.math.ode.nonstiff
This class implements the classical fourth order Runge-Kutta integrator for Ordinary Differential Equations (it is the most often used Runge-Kutta method).
ClassicalRungeKuttaIntegrator(double) - Constructor for class org.apache.commons.math.ode.nonstiff.ClassicalRungeKuttaIntegrator
Simple constructor.
classify() - Method in class org.apache.commons.math.dfp.Dfp
Returns the type - one of FINITE, INFINITE, SNAN, QNAN.
clear() - Method in class hep.aida.ref.fitter.fitmethod.AbstractFitMethod
 
clear() - Method in class hep.aida.ref.histogram.binner.AbstractBinner1D
 
clear() - Method in class hep.aida.ref.histogram.binner.BasicBinner2D
 
clear() - Method in class hep.aida.ref.histogram.binner.BasicBinner3D
 
clear() - Method in interface hep.aida.ref.histogram.binner.Binner1D
 
clear() - Method in interface hep.aida.ref.histogram.binner.Binner2D
 
clear() - Method in interface hep.aida.ref.histogram.binner.Binner3D
 
clear() - Method in class hep.aida.ref.histogram.binner.EfficiencyBinner1D
 
clear() - Method in class hep.aida.ref.histogram.binner.EfficiencyBinner2D
 
clear() - Method in class hep.aida.ref.histogram.binner.EfficiencyBinner3D
 
clear() - Method in class hep.aida.ref.histogram.DataPoint
 
clear() - Method in class hep.aida.ref.histogram.DataPointSet
 
clear() - Method in class jhplot.H1D
Make a copy of the data holder
clear() - Method in class jhplot.H2D
 
clear() - Method in class jhplot.HBook
Remove all objects from the HBook
clear() - Method in class jhplot.HChart
Clear the current graph including graph settings.
clear(int, int) - Method in class jhplot.HChart
Clear the chart characterized by an index in X and Y.
clear() - Method in class jhplot.HGraph
Clear the current graph including graph settings.
clear(int, int) - Method in class jhplot.HGraph
Clear the graph characterized by an index in X and Y.
clear() - Method in class jhplot.HPlot
Clear the current graph including graph settings.
clear(int, int) - Method in class jhplot.HPlot
Clear the graph characterised by an index in X and Y.
clear() - Method in class jhplot.HPlot2D
Clear the current pad
clear() - Method in class jhplot.HPlot3D
Clear the current graph including graph settings.
clear(int, int) - Method in class jhplot.HPlot3D
Clear the graph characterized by an index in X and Y.
clear() - Method in class jhplot.HPlot3DP
Clear the current graph including graph settings.
clear(int, int) - Method in class jhplot.HPlot3DP
Clear the graph characterized by an index in X and Y.
clear() - Method in class jhplot.HView3D
Clear the current graph including graph settings.
clear(int, int) - Method in class jhplot.HView3D
Clear the graph characterized by an index in X and Y.
clear() - Method in class jhplot.HZirkel
Clear the canvas
clear() - Method in class jhplot.jadraw.JaAxes
Clear.
clear() - Method in class jhplot.math.num.DoubleArray
Remove all elements from this collection.
clear() - Method in class jhplot.P0D
Clear the container
clear() - Method in class jhplot.P0I
Clear the container
clear() - Method in class jhplot.P1D
Clear the container
clear() - Method in class jhplot.P2D
Clear the container
clear() - Method in class jhplot.P3D
Clear the container
clear() - Method in class jhplot.PND
Clear the container
clear() - Method in class jhplot.PNI
Clear the container
clear() - Method in class jhplot.SPlot
Clear the plot of all data points.
clear(int) - Method in class jhplot.SPlot
Clear the plot of data points in the specified dataset.
clear() - Method in class jminhep.cluster.DataHolder
Clear current data holder
clear() - Method in class org.apache.commons.math.random.AbstractRandomGenerator
Clears the cache used by the default implementation of AbstractRandomGenerator.nextGaussian().
clear() - Method in class org.apache.commons.math.stat.descriptive.AbstractStorelessUnivariateStatistic
Clears the internal state of the Statistic
clear() - Method in class org.apache.commons.math.stat.descriptive.DescriptiveStatistics
Resets all statistics and storage
clear() - Method in class org.apache.commons.math.stat.descriptive.moment.FirstMoment
Clears the internal state of the Statistic
clear() - Method in class org.apache.commons.math.stat.descriptive.moment.FourthMoment
Clears the internal state of the Statistic
clear() - Method in class org.apache.commons.math.stat.descriptive.moment.GeometricMean
Clears the internal state of the Statistic
clear() - Method in class org.apache.commons.math.stat.descriptive.moment.Kurtosis
Clears the internal state of the Statistic
clear() - Method in class org.apache.commons.math.stat.descriptive.moment.Mean
Clears the internal state of the Statistic
clear() - Method in class org.apache.commons.math.stat.descriptive.moment.SecondMoment
Clears the internal state of the Statistic
clear() - Method in class org.apache.commons.math.stat.descriptive.moment.Skewness
Clears the internal state of the Statistic
clear() - Method in class org.apache.commons.math.stat.descriptive.moment.StandardDeviation
Clears the internal state of the Statistic
clear() - Method in class org.apache.commons.math.stat.descriptive.moment.ThirdMoment
Clears the internal state of the Statistic
clear() - Method in class org.apache.commons.math.stat.descriptive.moment.Variance
Clears the internal state of the Statistic
clear() - Method in class org.apache.commons.math.stat.descriptive.moment.VectorialCovariance
Clears the internal state of the Statistic
clear() - Method in class org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics
Resets all statistics and storage
clear() - Method in class org.apache.commons.math.stat.descriptive.rank.Max
Clears the internal state of the Statistic
clear() - Method in class org.apache.commons.math.stat.descriptive.rank.Min
Clears the internal state of the Statistic
clear() - Method in interface org.apache.commons.math.stat.descriptive.StorelessUnivariateStatistic
Clears the internal state of the Statistic
clear() - Method in class org.apache.commons.math.stat.descriptive.summary.Product
Clears the internal state of the Statistic
clear() - Method in class org.apache.commons.math.stat.descriptive.summary.Sum
Clears the internal state of the Statistic
clear() - Method in class org.apache.commons.math.stat.descriptive.summary.SumOfLogs
Clears the internal state of the Statistic
clear() - Method in class org.apache.commons.math.stat.descriptive.summary.SumOfSquares
Clears the internal state of the Statistic
clear() - Method in class org.apache.commons.math.stat.descriptive.SummaryStatistics
Resets all statistics and storage
clear() - Method in class org.apache.commons.math.stat.descriptive.SynchronizedDescriptiveStatistics
Resets all statistics and storage
clear() - Method in class org.apache.commons.math.stat.descriptive.SynchronizedMultivariateSummaryStatistics
Resets all statistics and storage
clear() - Method in class org.apache.commons.math.stat.descriptive.SynchronizedSummaryStatistics
Resets all statistics and storage
clear() - Method in class org.apache.commons.math.stat.Frequency
Clears the frequency table
clear() - Method in class org.apache.commons.math.stat.regression.SimpleRegression
Clears all data from the model.
clear() - Method in interface org.apache.commons.math.util.DoubleArray
Clear the double array
clear() - Method in class org.apache.commons.math.util.ResizableDoubleArray
Clear the array, reset the size to the initialCapacity and the number of elements to zero.
clear() - Method in class org.apache.commons.math.util.TransformerMap
Clears all the Class to Transformer mappings.
clearAll() - Method in class jhplot.HChart
Clear all graphs from data and settings.
clearAll() - Method in class jhplot.HGraph
Clear all graphs from data and settings.
clearAll() - Method in class jhplot.HPlot
Clear all graphs from data and settings.
clearAll() - Method in class jhplot.HPlot2D
Clear all pads
clearAll() - Method in class jhplot.HPlot3D
Clear all graphs from data and settings.
clearAll() - Method in class jhplot.HPlot3DP
Clear all graphs from data and settings.
clearAll() - Method in class jhplot.HPlotJa
Clear the canvas from all objects
clearAll() - Method in class jhplot.HView3D
Clear all graphs from data and settings.
clearAllData() - Method in class jhplot.HPlot
Clear all graphs from the input data.
clearAllData() - Method in class jhplot.HPlotJa
Clear all data from all graphs.
clearAllLabels() - Method in class jhplot.HPlot
Clear all graph labels
clearData() - Method in class jhplot.HChart
Clear plot from the data
clearData() - Method in class jhplot.HPlot
Clear the current graph from the input data.
clearData(int, int) - Method in class jhplot.HPlot
Clear data of the graph characterised by an index in X and Y.
clearData(int) - Method in class jhplot.HPlot
Remove one data set from the current plot.
clearData(int, int) - Method in class jhplot.HPlotJa
Clear the axis frame from the data
clearData() - Method in class jhplot.HPlotJa
Clear the axis frame from the data for the current pad.
clearEventHandlers() - Method in class org.apache.commons.math.ode.AbstractIntegrator
Remove all the event handlers that have been added to the integrator.
clearEventHandlers() - Method in class org.apache.commons.math.ode.jacobians.FirstOrderIntegratorWithJacobians
Deprecated. Remove all the event handlers that have been added to the integrator.
clearEventHandlers() - Method in interface org.apache.commons.math.ode.ODEIntegrator
Remove all the event handlers that have been added to the integrator.
clearEventsHandlers() - Method in class org.apache.commons.math.ode.events.CombinedEventsManager
Deprecated. Remove all the events handlers that have been added to the manager.
clearIEEEFlags() - Method in class org.apache.commons.math.dfp.DfpField
Clears the IEEE 854 status flags.
clearLabels() - Method in class jhplot.HPlot
Clear graph labels for the curent graph.
clearLabels(int, int) - Method in class jhplot.HPlot
Clear Graph settings including labels.
clearLegends() - Method in class jhplot.SPlot
Clear all legends.
clearObservable() - Method in class hep.aida.ref.event.ObserverAdapter
 
clearObservations() - Method in class org.apache.commons.math.optimization.fitting.CurveFitter
Remove all observations.
clearObservations() - Method in class org.apache.commons.math.optimization.fitting.PolynomialFitter
Remove all observations.
clearPlot() - Method in class jhplot.HChart
Clear plot.
clearStepHandlers() - Method in class org.apache.commons.math.ode.AbstractIntegrator
Remove all the step handlers that have been added to the integrator.
clearStepHandlers() - Method in class org.apache.commons.math.ode.jacobians.FirstOrderIntegratorWithJacobians
Deprecated. Remove all the step handlers that have been added to the integrator.
clearStepHandlers() - Method in interface org.apache.commons.math.ode.ODEIntegrator
Remove all the step handlers that have been added to the integrator.
CleverChiSquaredFitMethod - Class in hep.aida.ref.fitter.fitmethod
 
CleverChiSquaredFitMethod() - Constructor for class hep.aida.ref.fitter.fitmethod.CleverChiSquaredFitMethod
 
CLimits - Class in jhpro.stat
Algorithm to compute 95% CL limits using the Likelihood ratio semi-Bayesian method.
CLimits(DataSource, int) - Constructor for class jhpro.stat.CLimits
Main constructor.
CLimits(DataSource, int, boolean) - Constructor for class jhpro.stat.CLimits
Main constructor.
CLimits(H1D, H1D, H1D, int) - Constructor for class jhpro.stat.CLimits
Get limits including statistical errors in the calculations.
CLimits(P1D, P1D, P1D, int) - Constructor for class jhpro.stat.CLimits
Initialize limit calculations including statistical errors in the calculations.
CLimits(H1D, H1D, H1D, double, double, double, String, int) - Constructor for class jhpro.stat.CLimits
Initialize limit calculations for one channel with systematic errors.
ClipBoardPrintable - Interface in jhplot.math.io
BSD License
clone() - Method in class hep.aida.ref.Annotation
 
clone() - Method in class hep.aida.ref.function.AbstractIFunction
 
clone(String, IFunction) - Method in class hep.aida.ref.function.FunctionCatalog
 
clone() - Method in class hephysics.vec.SpacePoint
Clone
clone() - Method in class jhplot.math.Complex
 
clone() - Method in class jhplot.math.ValueErr
 
clone() - Method in class jhpro.stat.DataSource
Allow cloning
cloneFunction(String, IFunction) - Method in class hep.aida.ref.function.FunctionFactory
 
close() - Method in class hep.aida.ref.tree.Tree
Closes the underlying store.
close() - Method in class hep.aida.ref.tuple.FTupleAdapter
 
close() - Method in class hep.aida.ref.tuple.TupleCursor
 
close() - Method in class jhplot.HChart
Close the canvas (and dispose all components) Note: a memory leak is found - no time to investigate it.
close() - Method in class jhplot.HGraph
Close the canvas (and dispose all components) Note: a memory leak is found - no time to investgate it.
close() - Method in class jhplot.HPlot
Close the canvas (and dispose all components).
close() - Method in class jhplot.HPlot2D
Close the canvas (and dispose all components).
close() - Method in class jhplot.HPlot3D
Close the canvas (and dispose all components) Note: a memory leak is found - no time to study it.
close() - Method in class jhplot.HPlot3DP
Close the canvas (and dispose all components) Note: a memory leak is found - no time to study it.
close() - Method in class jhplot.HPlotJa
Close the canvas (and dispose all components).
close() - Method in class jhplot.HView3D
Close the canvas (and dispose all components) Note: a memory leak is found - no time to study it.
close() - Method in class jhplot.HZirkel
close current page
close() - Method in class jhplot.io.BaseRecordsFile
Closes the file.
close() - Method in class jhplot.io.csv.CSVReader
Closes the underlying reader.
close() - Method in class jhplot.io.csv.CSVWriter
Close the underlying stream writer flushing any buffered content.
close() - Method in class jhplot.io.EFile
Close the file
close() - Method in class jhplot.io.FileAida
Close the file
close() - Method in class jhplot.io.HDataBase
Close the file
close() - Method in class jhplot.io.HFile
Close the file
close() - Method in class jhplot.io.HFileXML
Close the file
close() - Method in class jhplot.io.PFile
Close the file
close() - Method in class jhplot.io.RecordsFile
Closes the database.
close() - Method in class jhplot.math.io.LEDataInputStream
 
close() - Method in class jhplot.math.io.LEDataOutputStream
 
close() - Method in class jhplot.math.io.LERandomAccessFile
 
closeButton - Variable in class jhplot.io.HFileBrowser
 
closeButton - Variable in class jhplot.io.PFileBrowser
 
closeReplayFile() - Method in class org.apache.commons.math.random.ValueServer
Closes valuesFileURL after use in REPLAY_MODE.
Cloud - Class in hep.aida.ref.histogram
 
Cloud1D - Class in hep.aida.ref.histogram
 
Cloud1D() - Constructor for class hep.aida.ref.histogram.Cloud1D
Create a new Cloud1D
Cloud2D - Class in hep.aida.ref.histogram
 
Cloud2D() - Constructor for class hep.aida.ref.histogram.Cloud2D
Create a new Cloud2D
Cloud3D - Class in hep.aida.ref.histogram
 
Cloud3D() - Constructor for class hep.aida.ref.histogram.Cloud3D
Create a new Cloud3D
CLOUD_ARRAY_ENTRIES - Static variable in class hep.aida.ref.histogram.Cloud
 
Cluster<T extends Clusterable<T>> - Class in org.apache.commons.math.stat.clustering
Cluster holding a set of Clusterable points.
Cluster(T) - Constructor for class org.apache.commons.math.stat.clustering.Cluster
Build a cluster centered at a specified point.
cluster(Collection<T>, int, int) - Method in class org.apache.commons.math.stat.clustering.KMeansPlusPlusClusterer
Runs the K-means++ clustering algorithm.
Clusterable<T> - Interface in org.apache.commons.math.stat.clustering
Interface for points that can be clustered together.
cmul(Vector3d) - Method in class jhplot.v3d.Vector3d
 
codeletString() - Method in class hep.aida.ref.fitter.InternalFitFunction
 
codeletString() - Method in class hep.aida.ref.function.AbstractDevModelFunction
 
codeletString() - Method in class hep.aida.ref.function.AbstractIFunction
 
codeletString() - Method in class hep.aida.ref.function.BaseModelFunction
 
codeletString() - Method in class hep.aida.ref.function.SumOfFunctions
 
ColorPixel - Class in jhplot.utils
Static methods which help to convert colors and vectors with pixels.
ColorPixel() - Constructor for class jhplot.utils.ColorPixel
 
column(int) - Method in class hep.aida.ref.tuple.AbstractTuple
 
column(String) - Method in class hep.aida.ref.tuple.AbstractTuple
 
column(int) - Method in class hep.aida.ref.tuple.FTupleAdapter
 
column(int) - Method in class hep.aida.ref.tuple.Tuple
 
column(String) - Method in class hep.aida.ref.tuple.Tuple
 
columnByIndex(int) - Method in class hep.aida.ref.tuple.AbstractTuple
 
columnByIndex(int) - Method in interface hep.aida.ref.tuple.FTuple
 
columnByIndex(int) - Method in class hep.aida.ref.tuple.FTupleAdapter
 
columnByName(String) - Method in class hep.aida.ref.tuple.AbstractTuple
 
columnByName(String) - Method in interface hep.aida.ref.tuple.FTuple
 
columnByName(String) - Method in class hep.aida.ref.tuple.FTupleAdapter
 
columnDefaultString(int) - Method in class hep.aida.ref.tuple.AbstractTuple
 
columnDefaultString(int) - Method in class hep.aida.ref.tuple.ChainedTuple
 
columnDefaultString(int) - Method in class hep.aida.ref.tuple.Tuple
 
columnDefaultValue(int) - Method in class hep.aida.ref.tuple.AbstractTuple
 
columnDefaultValue(int) - Method in class hep.aida.ref.tuple.ChainedTuple
 
columnMax(int) - Method in class hep.aida.ref.tuple.AbstractTuple
 
columnMax(int) - Method in class hep.aida.ref.tuple.ChainedTuple
Get the maximum value of a column.
columnMax(int) - Method in class hep.aida.ref.tuple.Tuple
 
columnMean(int) - Method in class hep.aida.ref.tuple.AbstractTuple
 
columnMean(int) - Method in class hep.aida.ref.tuple.ChainedTuple
Get the mean value of a column.
columnMean(int) - Method in class hep.aida.ref.tuple.Tuple
 
columnMin(int) - Method in class hep.aida.ref.tuple.AbstractTuple
 
columnMin(int) - Method in class hep.aida.ref.tuple.ChainedTuple
Get the minimum value of a column.
columnMin(int) - Method in class hep.aida.ref.tuple.Tuple
 
columnName(int) - Method in class hep.aida.ref.tuple.AbstractTuple
 
columnName(int) - Method in class hep.aida.ref.tuple.ChainedTuple
Get the name of a column from its index
columnName(int) - Method in interface hep.aida.ref.tuple.FTuple
 
columnName(int) - Method in class hep.aida.ref.tuple.FTupleAdapter
 
columnName(int) - Method in class hep.aida.ref.tuple.Tuple
 
columnNames() - Method in class hep.aida.ref.tuple.AbstractTuple
 
ColumnPositionMappingStrategy - Class in jhplot.io.csv.bean
Copyright 2007 Kyle Miller.
ColumnPositionMappingStrategy() - Constructor for class jhplot.io.csv.bean.ColumnPositionMappingStrategy
 
columnRms(int) - Method in class hep.aida.ref.tuple.AbstractTuple
 
columnRms(int) - Method in class hep.aida.ref.tuple.ChainedTuple
Get the rms of a column.
columnRms(int) - Method in class hep.aida.ref.tuple.Tuple
 
columns() - Method in class hep.aida.ref.tuple.AbstractTuple
 
columns() - Method in class hep.aida.ref.tuple.ChainedTuple
Get the number of columns in the Tuple.
columns() - Method in interface hep.aida.ref.tuple.FTuple
 
columns() - Method in class hep.aida.ref.tuple.FTupleAdapter
 
columns() - Method in class hep.aida.ref.tuple.Tuple
 
columnType(int) - Method in class hep.aida.ref.tuple.AbstractTuple
 
columnType(int) - Method in class hep.aida.ref.tuple.ChainedTuple
Get the type of the column from its index
columnType(int) - Method in interface hep.aida.ref.tuple.FTuple
 
columnType(int) - Method in class hep.aida.ref.tuple.FTupleAdapter
 
columnType(int) - Method in class hep.aida.ref.tuple.Tuple
 
columnTypes() - Method in class hep.aida.ref.tuple.AbstractTuple
 
columnValue(int, Value) - Method in class hep.aida.ref.tuple.AbstractTuple
 
columnValue(int, FTupleCursor, Value) - Method in class hep.aida.ref.tuple.AbstractTuple
 
columnValue(int, Value) - Method in class hep.aida.ref.tuple.ChainedTuple
 
columnValue(int, FTupleCursor, Value) - Method in interface hep.aida.ref.tuple.FTuple
 
columnValue(int, FTupleCursor, Value) - Method in class hep.aida.ref.tuple.FTupleAdapter
 
columnValue(int, FTupleCursor, Value) - Method in class hep.aida.ref.tuple.Tuple
 
columnValue(int, Value) - Method in class hep.aida.ref.tuple.Tuple
 
columnVector(double[]) - Static method in class jhplot.math.DoubleArray
Converts an n element array into an n x 1 matrix.
combine(UnivariateRealFunction, BivariateRealFunction) - Method in class org.apache.commons.math.analysis.ComposableFunction
Return a function combining the instance and another function.
CombinedEventsManager - Class in org.apache.commons.math.ode.events
Deprecated. as of 2.2, this class is not used anymore
CombinedEventsManager() - Constructor for class org.apache.commons.math.ode.events.CombinedEventsManager
Deprecated. Simple constructor.
combineErr(int) - Method in class jhplot.P1D
Add 1st and 2nd level in quadrature and attribute the combined error to 1st level error.
commit() - Method in class hep.aida.ref.tree.Tree
Commit any open transaction to the underlying store(s).
compactness(double[][], int[], int, double[][]) - Static method in class jminhep.cluster.Get
This method returns the cluster compactness
comparatorPermutation(List<S>, Comparator<S>) - Static method in class org.apache.commons.math.genetics.RandomKey
Generates a representation of a permutation corresponding to the data sorted by comparator.
compareTo(BigFraction) - Method in class org.apache.commons.math.fraction.BigFraction
Compares this object to another based on size.
compareTo(Fraction) - Method in class org.apache.commons.math.fraction.Fraction
Compares this object to another based on size.
compareTo(Chromosome) - Method in class org.apache.commons.math.genetics.Chromosome
Compares two chromosomes based on their fitness.
compareTo(BigReal) - Method in class org.apache.commons.math.util.BigReal
compareTo(double, double, double) - Static method in class org.apache.commons.math.util.MathUtils
Compares two numbers given some amount of allowed error.
Complex - Class in jhplot.math
Complex implements a complex number and defines complex arithmetic and mathematical functions Last Updated February 27, 2001 Copyright 1997-2001
Complex(double, double) - Constructor for class jhplot.math.Complex
Constructs the complex number z = u + i*v
Complex - Class in org.apache.commons.math.complex
Representation of a Complex number - a number which has both a real and imaginary part.
Complex(double, double) - Constructor for class org.apache.commons.math.complex.Complex
Create a complex number given the real and imaginary parts.
ComplexField - Class in org.apache.commons.math.complex
Representation of the complex numbers field.
ComplexFormat - Class in org.apache.commons.math.complex
Formats a Complex number in cartesian format "Re(c) + Im(c)i".
ComplexFormat() - Constructor for class org.apache.commons.math.complex.ComplexFormat
Create an instance with the default imaginary character, 'i', and the default number format for both real and imaginary parts.
ComplexFormat(NumberFormat) - Constructor for class org.apache.commons.math.complex.ComplexFormat
Create an instance with a custom number format for both real and imaginary parts.
ComplexFormat(NumberFormat, NumberFormat) - Constructor for class org.apache.commons.math.complex.ComplexFormat
Create an instance with a custom number format for the real part and a custom number format for the imaginary part.
ComplexFormat(String) - Constructor for class org.apache.commons.math.complex.ComplexFormat
Create an instance with a custom imaginary character, and the default number format for both real and imaginary parts.
ComplexFormat(String, NumberFormat) - Constructor for class org.apache.commons.math.complex.ComplexFormat
Create an instance with a custom imaginary character, and a custom number format for both real and imaginary parts.
ComplexFormat(String, NumberFormat, NumberFormat) - Constructor for class org.apache.commons.math.complex.ComplexFormat
Create an instance with a custom imaginary character, a custom number format for the real part, and a custom number format for the imaginary part.
ComplexUtils - Class in org.apache.commons.math.complex
Static implementations of common Complex utilities functions.
componentHidden(ComponentEvent) - Method in class jhplot.GHFrame
 
componentHidden(ComponentEvent) - Method in class jhplot.GHPanel
 
componentMoved(ComponentEvent) - Method in class jhplot.GHFrame
 
componentMoved(ComponentEvent) - Method in class jhplot.GHPanel
 
componentResized(ComponentEvent) - Method in class jhplot.GHPanel
 
componentShown(ComponentEvent) - Method in class jhplot.GHFrame
 
componentShown(ComponentEvent) - Method in class jhplot.GHPanel
 
ComposableFunction - Class in org.apache.commons.math.analysis
Base class for UnivariateRealFunction that can be composed with other functions.
ComposableFunction() - Constructor for class org.apache.commons.math.analysis.ComposableFunction
 
CompositeFormat - Class in org.apache.commons.math.util
Base class for formatters of composite objects (complex numbers, vectors ...).
CompositeFormat() - Constructor for class org.apache.commons.math.util.CompositeFormat
 
computeCorrelationMatrix(RealMatrix) - Method in class org.apache.commons.math.stat.correlation.PearsonsCorrelation
Computes the correlation matrix for the columns of the input matrix.
computeCorrelationMatrix(double[][]) - Method in class org.apache.commons.math.stat.correlation.PearsonsCorrelation
Computes the correlation matrix for the columns of the input rectangular array.
computeCorrelationMatrix(RealMatrix) - Method in class org.apache.commons.math.stat.correlation.SpearmansCorrelation
Computes the Spearman's rank correlation matrix for the columns of the input matrix.
computeCorrelationMatrix(double[][]) - Method in class org.apache.commons.math.stat.correlation.SpearmansCorrelation
Computes the Spearman's rank correlation matrix for the columns of the input rectangular array.
computeDerivatives(double, double[], double[]) - Method in class org.apache.commons.math.ode.AbstractIntegrator
Compute the derivatives and check the number of evaluations.
computeDerivatives(double, double[], double[]) - Method in class org.apache.commons.math.ode.FirstOrderConverter
Get the current time derivative of the state vector.
computeDerivatives(double, double[], double[]) - Method in interface org.apache.commons.math.ode.FirstOrderDifferentialEquations
Get the current time derivative of the state vector.
computeDistribution() - Method in class org.apache.commons.math.random.ValueServer
Computes the empirical distribution using values from the file in valuesFileURL, using the default number of bins.
computeDistribution(int) - Method in class org.apache.commons.math.random.ValueServer
Computes the empirical distribution using values from the file in valuesFileURL and binCount bins.
computeExp(Dfp, Dfp) - Static method in class org.apache.commons.math.dfp.DfpField
Compute exp(a).
computeJacobians(double, double[], double[], double[][], double[][]) - Method in interface org.apache.commons.math.ode.jacobians.ODEWithJacobians
Deprecated. Compute the partial derivatives of ODE with respect to state.
computeLn(Dfp, Dfp, Dfp) - Static method in class org.apache.commons.math.dfp.DfpField
Compute ln(a).
computeMatrix() - Method in class jhplot.v3d.Model3d
 
computeSecondDerivatives(double, double[], double[], double[]) - Method in interface org.apache.commons.math.ode.SecondOrderDifferentialEquations
Get the current time derivative of the state vector.
concatenate(File, File) - Static method in class jhplot.math.io.ASCIIFile
 
cond(double[][]) - Static method in class jhplot.math.LinearAlgebra
 
cond() - Method in class jhplot.math.SingularValueDecomposition
Two norm condition number
Cone - Class in jhplot.v3d
Build a cone.
Cone(Model3d, float, int, Vector3d) - Constructor for class jhplot.v3d.Cone
 
Cone(Model3d, float, int, float) - Constructor for class jhplot.v3d.Cone
 
ConfidenceLevel - Class in jhpro.stat
Confidence level calculations.
ConfidenceLevel() - Constructor for class jhpro.stat.ConfidenceLevel
Default constructor.
ConfidenceLevel(int) - Constructor for class jhpro.stat.ConfidenceLevel
Construct ConfLevel
ConfidenceLevel(int, boolean) - Constructor for class jhpro.stat.ConfidenceLevel
Build confidence level.
ConfInterval - Class in jhpro.stat
Computes the mean, standard deviation and 95% approximate confidence interval.
ConfInterval(P0D) - Constructor for class jhpro.stat.ConfInterval
Initialize calculation of confidence interval.
conj() - Method in class jhplot.math.Complex
Complex conjugate of this Complex number (the conjugate of x+i*y is x-i*y).
conjugate() - Method in class org.apache.commons.math.complex.Complex
Return the conjugate of this complex number.
ConjugateGradientFormula - Enum in org.apache.commons.math.optimization.general
Available choices of update formulas for the β parameter in NonLinearConjugateGradientOptimizer.
Connectable - Interface in hep.aida.ref.event
 
ConnectEvent - Class in hep.aida.ref.event
An event send to AIDAListeners if connection between AIDA object and it's data provider is re-open
ConnectEvent(Object) - Constructor for class hep.aida.ref.event.ConnectEvent
 
ConnectEvent(Object, boolean) - Constructor for class hep.aida.ref.event.ConnectEvent
 
CONSTANT_MODE - Static variable in class org.apache.commons.math.random.ValueServer
Always return mu
Constants - Interface in jhplot.math.num
Common constants found in mathematical formulas.
constraints() - Method in class hep.aida.ref.fitter.FitResult
 
constraints() - Method in class hep.aida.ref.fitter.Fitter
 
ContainerManagedObject - Class in hep.aida.ref
 
ContainerManagedObject(String) - Constructor for class hep.aida.ref.ContainerManagedObject
 
contains(double) - Method in class jhplot.P0D
Returns true if value exists
contains(Integer) - Method in class jhplot.P0I
Returns true if value exists
contains(double, double) - Method in class jhplot.shapes.HShape
 
containsClass(Class<?>) - Method in class org.apache.commons.math.util.TransformerMap
Tests if a Class is present in the TransformerMap.
containsFunction(IFunction) - Method in class hep.aida.ref.function.SumOfFunctions
 
containsKey(int) - Method in class org.apache.commons.math.util.OpenIntToDoubleHashMap
Check if a value is associated with a key.
containsKey(int) - Method in class org.apache.commons.math.util.OpenIntToFieldHashMap
Check if a value is associated with a key.
containsTransformer(NumberTransformer) - Method in class org.apache.commons.math.util.TransformerMap
Tests if a NumberTransformer is present in the TransformerMap.
CONTINUE - Static variable in interface org.apache.commons.math.ode.events.EventHandler
Continue indicator.
CONTINUE - Static variable in interface org.apache.commons.math.ode.jacobians.EventHandlerWithJacobians
Deprecated. Continue indicator.
ContinuedFraction - Class in jhplot.math.num
This class provides the means to evaluate continued fractions (1).
ContinuedFraction - Class in org.apache.commons.math.util
Provides a generic means to evaluate continued fractions.
ContinuousDistribution - Class in jhplot.math.num.pdf
Base continuous distribution.
ContinuousDistribution() - Constructor for class jhplot.math.num.pdf.ContinuousDistribution
 
ContinuousDistribution - Interface in org.apache.commons.math.distribution
Base interface for continuous distributions.
ContinuousOutputModel - Class in org.apache.commons.math.ode
This class stores all information provided by an ODE integrator during the integration process and build a continuous model of the solution from this.
ContinuousOutputModel() - Constructor for class org.apache.commons.math.ode.ContinuousOutputModel
Simple constructor.
ContinuousRandomVariable - Interface in jhplot.math.num.random
A random variable generator for a continuous distribution.
contract() - Method in class org.apache.commons.math.util.ResizableDoubleArray
Contracts the storage array to the (size of the element set) + 1 - to avoid a zero length array.
converged(int, RealPointValuePair, RealPointValuePair) - Method in interface org.apache.commons.math.optimization.RealConvergenceChecker
Check if the optimization algorithm has converged considering the last points.
converged(int, RealPointValuePair, RealPointValuePair) - Method in class org.apache.commons.math.optimization.SimpleRealPointChecker
Check if the optimization algorithm has converged considering the last points.
converged(int, RealPointValuePair, RealPointValuePair) - Method in class org.apache.commons.math.optimization.SimpleScalarValueChecker
Check if the optimization algorithm has converged considering the last points.
converged(int, VectorialPointValuePair, VectorialPointValuePair) - Method in class org.apache.commons.math.optimization.SimpleVectorialPointChecker
Check if the optimization algorithm has converged considering the last points.
converged(int, VectorialPointValuePair, VectorialPointValuePair) - Method in class org.apache.commons.math.optimization.SimpleVectorialValueChecker
Check if the optimization algorithm has converged considering the last points.
converged(int, VectorialPointValuePair, VectorialPointValuePair) - Method in interface org.apache.commons.math.optimization.VectorialConvergenceChecker
Check if the optimization algorithm has converged considering the last points.
ConvergenceException - Exception in jhplot.math.num
The exception raised when an iterative method fails to converge.
ConvergenceException(String) - Constructor for exception jhplot.math.num.ConvergenceException
Create an execption with the given message.
ConvergenceException - Exception in org.apache.commons.math
Error thrown when a numerical computation can not be performed because the numerical result failed to converge to a finite value.
ConvergenceException() - Constructor for exception org.apache.commons.math.ConvergenceException
Default constructor.
ConvergenceException(String, Object...) - Constructor for exception org.apache.commons.math.ConvergenceException
Deprecated. as of 2.2 replaced by ConvergenceException.ConvergenceException(Localizable, Object...)
ConvergenceException(Localizable, Object...) - Constructor for exception org.apache.commons.math.ConvergenceException
Constructs an exception with specified formatted detail message.
ConvergenceException(Throwable) - Constructor for exception org.apache.commons.math.ConvergenceException
Create an exception with a given root cause.
ConvergenceException(Throwable, String, Object...) - Constructor for exception org.apache.commons.math.ConvergenceException
Deprecated. as of 2.2 replaced by ConvergenceException.ConvergenceException(Throwable, Localizable, Object...)
ConvergenceException(Throwable, Localizable, Object...) - Constructor for exception org.apache.commons.math.ConvergenceException
Constructs an exception with specified formatted detail message and root cause.
ConvergenceException - Exception in org.apache.commons.math.exception
Error thrown when a numerical computation can not be performed because the numerical result failed to converge to a finite value.
ConvergenceException() - Constructor for exception org.apache.commons.math.exception.ConvergenceException
Construct the exception.
ConvergenceException(Localizable) - Constructor for exception org.apache.commons.math.exception.ConvergenceException
Construct the exception with a specific context.
ConvergenceException(Localizable, Object...) - Constructor for exception org.apache.commons.math.exception.ConvergenceException
Construct the exception with a specific context and arguments.
ConvergingAlgorithm - Interface in org.apache.commons.math
Deprecated. in 2.2 (to be removed in 3.0). The concept of "iteration" will be moved to a new IterativeAlgorithm. The concept of "accuracy" is currently is also contained in SimpleRealPointChecker and similar classes.
ConvergingAlgorithmImpl - Class in org.apache.commons.math
Deprecated. in 2.2 (to be removed in 3.0).
conversionBins() - Method in class hep.aida.ref.histogram.Cloud1D
 
conversionBinsX() - Method in class hep.aida.ref.histogram.Cloud2D
 
conversionBinsX() - Method in class hep.aida.ref.histogram.Cloud3D
 
conversionBinsY() - Method in class hep.aida.ref.histogram.Cloud2D
 
conversionBinsY() - Method in class hep.aida.ref.histogram.Cloud3D
 
conversionBinsZ() - Method in class hep.aida.ref.histogram.Cloud3D
 
conversionLowerEdge() - Method in class hep.aida.ref.histogram.Cloud1D
 
conversionLowerEdgeX() - Method in class hep.aida.ref.histogram.Cloud2D
 
conversionLowerEdgeX() - Method in class hep.aida.ref.histogram.Cloud3D
 
conversionLowerEdgeY() - Method in class hep.aida.ref.histogram.Cloud2D
 
conversionLowerEdgeY() - Method in class hep.aida.ref.histogram.Cloud3D
 
conversionLowerEdgeZ() - Method in class hep.aida.ref.histogram.Cloud3D
 
conversionUpperEdge() - Method in class hep.aida.ref.histogram.Cloud1D
 
conversionUpperEdgeX() - Method in class hep.aida.ref.histogram.Cloud2D
 
conversionUpperEdgeX() - Method in class hep.aida.ref.histogram.Cloud3D
 
conversionUpperEdgeY() - Method in class hep.aida.ref.histogram.Cloud2D
 
conversionUpperEdgeY() - Method in class hep.aida.ref.histogram.Cloud3D
 
conversionUpperEdgeZ() - Method in class hep.aida.ref.histogram.Cloud3D
 
convert(int, double, double) - Method in class hep.aida.ref.histogram.Cloud1D
Convert the ICloud to an IHistogram.
convert(double[]) - Method in class hep.aida.ref.histogram.Cloud1D
Convert the ICloud to an IHistogram by specifying the bin edges.
convert(int, double, double, int, double, double) - Method in class hep.aida.ref.histogram.Cloud2D
Convert the Cloud to a Histogram.
convert(double[], double[]) - Method in class hep.aida.ref.histogram.Cloud2D
Convert the ICloud to an IHistogram by specifying the bin edges.
convert(int, double, double, int, double, double, int, double, double) - Method in class hep.aida.ref.histogram.Cloud3D
Convert the Cloud to a Histogram.
convert(double[], double[], double[]) - Method in class hep.aida.ref.histogram.Cloud3D
 
convertDoubleParameter(String, double) - Static method in class jhplot.HCellular
Converts a String parameter into a double parameter.
convertIntParameter(String, int) - Static method in class jhplot.HCellular
Converts a String parameter into an integer parameter.
convertToHistogram() - Method in class hep.aida.ref.histogram.Cloud
Convert the ICloud to an IHistogram using the default number of bins.
convertToHistogram() - Method in class hep.aida.ref.histogram.Cloud1D
 
convertToHistogram() - Method in class hep.aida.ref.histogram.Cloud2D
 
convertToHistogram() - Method in class hep.aida.ref.histogram.Cloud3D
 
coordinate(int) - Method in class hep.aida.ref.histogram.DataPoint
 
coordToIndex(double) - Method in class hep.aida.ref.histogram.FixedAxis
Get the bin's index corresponding to an axis's value.
coordToIndex(double) - Method in class hep.aida.ref.histogram.Histogram1D
Convenience method, equivalent to axis().coordToIndex(coord).
coordToIndex(double) - Method in class hep.aida.ref.histogram.Profile1D
 
coordToIndex(double) - Method in class hep.aida.ref.histogram.VariableAxis
 
coordToIndexX(double) - Method in class hep.aida.ref.histogram.Histogram2D
Convenience method, equivalent to xAxis().coordToIndex(coord).
coordToIndexX(double) - Method in class hep.aida.ref.histogram.Histogram3D
Convenience method, equivalent to xAxis().coordToIndex(coord).
coordToIndexX(double) - Method in class hep.aida.ref.histogram.Profile2D
 
coordToIndexY(double) - Method in class hep.aida.ref.histogram.Histogram2D
Convenience method, equivalent to yAxis().coordToIndex(coord).
coordToIndexY(double) - Method in class hep.aida.ref.histogram.Histogram3D
Convenience method, equivalent to yAxis().coordToIndex(coord).
coordToIndexY(double) - Method in class hep.aida.ref.histogram.Profile2D
 
coordToIndexZ(double) - Method in class hep.aida.ref.histogram.Histogram3D
Convenience method, equivalent to zAxis().coordToIndex(coord).
copy() - Method in class hephysics.particle.HEParticle
Make an exact copy of this particle
copy() - Method in class hephysics.particle.LParticle
Make an exact copy of this particle
copy(Hep3Vector) - Method in class hephysics.vec.Hep3Vector
New copy
copy() - Method in class hephysics.vec.HepLorentzVector
Make exact copy
copy() - Method in class jhplot.bsom.Matrix
Copy the matrix.
copy() - Method in class jhplot.H1D
Make a copy of the data holder
copy(String) - Method in class jhplot.H1D
Get exact copy of the current histogram.
copy(String) - Method in class jhplot.H2D
Get exact copy of the current histogram.
copy() - Method in class jhplot.H2D
Make a copy of the data holder
copy() - Method in class jhplot.HProf1D
Make a copy of the data holder
copy(String) - Method in class jhplot.HProf1D
Get exact copy of the current histogram.
copy() - Method in class jhplot.jadraw.JaAxes
Returns an exact copy of this Label.
copy() - Method in class jhplot.jadraw.JaBlob
Returns an exact copy of this JaBlob.
copy() - Method in class jhplot.jadraw.JaBox
Returns an exact copy of this Label.
copy() - Method in class jhplot.jadraw.JaFArc
Returns an exact copy of this JaFArc.
copy() - Method in class jhplot.jadraw.JaFLine
Returns an exact copy of this JaFLine.
copy() - Method in class jhplot.jadraw.JaFLoop
Returns an exact copy of this JaFLoop.
copy() - Method in class jhplot.jadraw.JaGArc
Returns an exact copy of this JaGArc.
copy() - Method in class jhplot.jadraw.JaGlArc
Returns an exact copy of this JaGlArc.
copy() - Method in class jhplot.jadraw.JaGLine
Returns an exact copy of this JaGLine.
copy() - Method in class jhplot.jadraw.JaGlLine
Returns an exact copy of this JaGlLine.
copy() - Method in class jhplot.jadraw.JaGlLoop
Returns an exact copy of this JaGlLoop.
copy() - Method in class jhplot.jadraw.JaGLoop
Returns an exact copy of this JaGLoop.
copy() - Method in class jhplot.jadraw.JaKey
Returns an exact copy of this label.
copy() - Method in class jhplot.jadraw.JaLatexText
Returns an exact copy of this JaLatexText.
copy() - Method in class jhplot.jadraw.JaLine
Returns an exact copy of this JaFLine.
copy(JaLoopObject) - Method in class jhplot.jadraw.JaLoopObject
Returns an exact copy of this JaxoLoop.
COPY - Static variable in class jhplot.jadraw.JaObject
An integer that indicates the current edit mode COPY.
copy() - Method in class jhplot.jadraw.JaObject
Returns an exact copy of the given JaObject.
copy() - Method in class jhplot.jadraw.JaPArc
Returns an exact copy of this JaPArc.
copy() - Method in class jhplot.jadraw.JaPLine
Returns an exact copy of this JaPLine.
copy() - Method in class jhplot.jadraw.JaPLoop
Returns an exact copy of this JaPLoop.
copy() - Method in class jhplot.jadraw.JaSArc
Returns an exact copy of this JaSArc.
copy() - Method in class jhplot.jadraw.JaSLine
Returns an exact copy of this JaSLine.
copy() - Method in class jhplot.jadraw.JaSLoop
Returns an exact copy of this JaSLoop.
copy() - Method in class jhplot.jadraw.JaText
Returns an exact copy of this label.
copy() - Method in class jhplot.jadraw.JaTextBox
Returns an exact copy of this Label.
copy(JaVertex) - Method in class jhplot.jadraw.JaVertex
Returns an exact copy of this JaVertex.
copy() - Method in class jhplot.jadraw.JaVertexT1
Returns an exact copy of this JaVertexT1.
copy() - Method in class jhplot.jadraw.JaVertexT2
Returns an exact copy of this JaVertexT1.
copy() - Method in class jhplot.jadraw.JaVertexT3
Returns an exact copy of this JaVertexT3.
copy() - Method in class jhplot.jadraw.JaVertexT4
Returns an exact copy of this JaVertexT4.
copy() - Method in class jhplot.jadraw.JaVertexT5
Returns an exact copy of this JaVertexT1.
copy() - Method in class jhplot.jadraw.JaVertexT6
Returns an exact copy of this JaVertexT6.
copy() - Method in class jhplot.jadraw.JaZigZagLine
Returns an exact copy of this JaZigZagLine.
copy(int[]) - Static method in class jhplot.math.ArrayMathUtils
Returns a copy of the array.
copy(long[]) - Static method in class jhplot.math.ArrayMathUtils
Returns a copy of the array.
copy(float[]) - Static method in class jhplot.math.ArrayMathUtils
Returns a copy of the array.
copy(double[]) - Static method in class jhplot.math.ArrayMathUtils
Returns a copy of the array.
copy(double[][]) - Static method in class jhplot.math.ArrayMathUtils
Returns a copy of the array.
copy(int[][]) - Static method in class jhplot.math.ArrayMathUtils
Returns a copy of the array.
copy(double[]) - Static method in class jhplot.math.DoubleArray
Generate a copy of an array
copy(double[][]) - Static method in class jhplot.math.DoubleArray
Generate a copy of a matrix
copy(int[]) - Static method in class jhplot.math.IntegerArray
 
copy(int[][]) - Static method in class jhplot.math.IntegerArray
 
copy(ValueErr) - Static method in class jhplot.math.ValueErr
Copy value
copy() - Method in class jhplot.math.ValueErr
Copy a single ValueErr
copy(ValueErr[]) - Static method in class jhplot.math.ValueErr
 
copy(ValueErr[][]) - Static method in class jhplot.math.ValueErr
Deep copy a 2D array of ValueErr numbers
copy() - Method in class jhplot.P0D
Get a copy of the current holder
copy(String) - Method in class jhplot.P0D
Create an exact copy of the current P0D.
copy() - Method in class jhplot.P0I
Get a copy of the current holder
copy(String) - Method in class jhplot.P0I
Create an exact copy of the current P0I.
copy(String) - Method in class jhplot.P1D
create an exact of the current holder
copy() - Method in class jhplot.P1D
Make a new data holder with the same title from the current one.
copy() - Method in class jhplot.P2D
Get a copy of the current holder
copy(String) - Method in class jhplot.P2D
create an exact of the current holder
copy(String) - Method in class jhplot.PND
Create an exact copy of the current P0D.
copy(String) - Method in class jhplot.PNI
Create an exact copy of the current P0D.
copy(Vector3d) - Method in class jhplot.v3d.Vector3d
 
copy() - Method in class jhpro.stat.DataKeeper
Make a copy
copy() - Method in class org.apache.commons.math.linear.AbstractFieldMatrix
Returns a (deep) copy of this.
copy() - Method in class org.apache.commons.math.linear.AbstractRealMatrix
Returns a (deep) copy of this.
copy() - Method in class org.apache.commons.math.linear.AbstractRealVector
Returns a (deep) copy of this vector.
copy() - Method in class org.apache.commons.math.linear.Array2DRowFieldMatrix
Returns a (deep) copy of this.
copy() - Method in class org.apache.commons.math.linear.Array2DRowRealMatrix
Returns a (deep) copy of this.
copy() - Method in class org.apache.commons.math.linear.ArrayFieldVector
Returns a (deep) copy of this.
copy() - Method in class org.apache.commons.math.linear.ArrayRealVector
Returns a (deep) copy of this vector.
copy() - Method in interface org.apache.commons.math.linear.BigMatrix
Deprecated. Returns a (deep) copy of this.
copy() - Method in class org.apache.commons.math.linear.BigMatrixImpl
Deprecated. Create a new BigMatrix which is a copy of this.
copy() - Method in class org.apache.commons.math.linear.BlockFieldMatrix
Returns a (deep) copy of this.
copy() - Method in class org.apache.commons.math.linear.BlockRealMatrix
Returns a (deep) copy of this.
copy() - Method in interface org.apache.commons.math.linear.FieldMatrix
Returns a (deep) copy of this.
copy() - Method in interface org.apache.commons.math.linear.FieldVector
Returns a (deep) copy of this.
copy() - Method in class org.apache.commons.math.linear.OpenMapRealMatrix
Returns a (deep) copy of this.
copy() - Method in class org.apache.commons.math.linear.OpenMapRealVector
Returns a (deep) copy of this vector.
copy() - Method in interface org.apache.commons.math.linear.RealMatrix
Returns a (deep) copy of this.
copy() - Method in class org.apache.commons.math.linear.RealMatrixImpl
Deprecated. Returns a (deep) copy of this.
copy() - Method in interface org.apache.commons.math.linear.RealVector
Returns a (deep) copy of this vector.
copy() - Method in class org.apache.commons.math.linear.SparseFieldMatrix
Returns a (deep) copy of this.
copy() - Method in class org.apache.commons.math.linear.SparseFieldVector
Returns a (deep) copy of this.
copy() - Method in interface org.apache.commons.math.ode.jacobians.StepInterpolatorWithJacobians
Deprecated. Copy the instance.
copy() - Method in class org.apache.commons.math.ode.sampling.AbstractStepInterpolator
Copy the instance.
copy() - Method in interface org.apache.commons.math.ode.sampling.StepInterpolator
Copy the instance.
copy() - Method in class org.apache.commons.math.stat.descriptive.AbstractStorelessUnivariateStatistic
Returns a copy of the statistic with the same internal state.
copy() - Method in class org.apache.commons.math.stat.descriptive.AbstractUnivariateStatistic
Returns a copy of the statistic with the same internal state.
copy() - Method in class org.apache.commons.math.stat.descriptive.DescriptiveStatistics
Returns a copy of this DescriptiveStatistics instance with the same internal state.
copy(DescriptiveStatistics, DescriptiveStatistics) - Static method in class org.apache.commons.math.stat.descriptive.DescriptiveStatistics
Copies source to dest.
copy() - Method in class org.apache.commons.math.stat.descriptive.moment.FirstMoment
Returns a copy of the statistic with the same internal state.
copy(FirstMoment, FirstMoment) - Static method in class org.apache.commons.math.stat.descriptive.moment.FirstMoment
Copies source to dest.
copy() - Method in class org.apache.commons.math.stat.descriptive.moment.FourthMoment
Returns a copy of the statistic with the same internal state.
copy(FourthMoment, FourthMoment) - Static method in class org.apache.commons.math.stat.descriptive.moment.FourthMoment
Copies source to dest.
copy() - Method in class org.apache.commons.math.stat.descriptive.moment.GeometricMean
Returns a copy of the statistic with the same internal state.
copy(GeometricMean, GeometricMean) - Static method in class org.apache.commons.math.stat.descriptive.moment.GeometricMean
Copies source to dest.
copy() - Method in class org.apache.commons.math.stat.descriptive.moment.Kurtosis
Returns a copy of the statistic with the same internal state.
copy(Kurtosis, Kurtosis) - Static method in class org.apache.commons.math.stat.descriptive.moment.Kurtosis
Copies source to dest.
copy() - Method in class org.apache.commons.math.stat.descriptive.moment.Mean
Returns a copy of the statistic with the same internal state.
copy(Mean, Mean) - Static method in class org.apache.commons.math.stat.descriptive.moment.Mean
Copies source to dest.
copy() - Method in class org.apache.commons.math.stat.descriptive.moment.SecondMoment
Returns a copy of the statistic with the same internal state.
copy(SecondMoment, SecondMoment) - Static method in class org.apache.commons.math.stat.descriptive.moment.SecondMoment
Copies source to dest.
copy() - Method in class org.apache.commons.math.stat.descriptive.moment.SemiVariance
Returns a copy of the statistic with the same internal state.
copy(SemiVariance, SemiVariance) - Static method in class org.apache.commons.math.stat.descriptive.moment.SemiVariance
Copies source to dest.
copy() - Method in class org.apache.commons.math.stat.descriptive.moment.Skewness
Returns a copy of the statistic with the same internal state.
copy(Skewness, Skewness) - Static method in class org.apache.commons.math.stat.descriptive.moment.Skewness
Copies source to dest.
copy() - Method in class org.apache.commons.math.stat.descriptive.moment.StandardDeviation
Returns a copy of the statistic with the same internal state.
copy(StandardDeviation, StandardDeviation) - Static method in class org.apache.commons.math.stat.descriptive.moment.StandardDeviation
Copies source to dest.
copy() - Method in class org.apache.commons.math.stat.descriptive.moment.ThirdMoment
Returns a copy of the statistic with the same internal state.
copy(ThirdMoment, ThirdMoment) - Static method in class org.apache.commons.math.stat.descriptive.moment.ThirdMoment
Copies source to dest.
copy() - Method in class org.apache.commons.math.stat.descriptive.moment.Variance
Returns a copy of the statistic with the same internal state.
copy(Variance, Variance) - Static method in class org.apache.commons.math.stat.descriptive.moment.Variance
Copies source to dest.
copy() - Method in class org.apache.commons.math.stat.descriptive.rank.Max
Returns a copy of the statistic with the same internal state.
copy(Max, Max) - Static method in class org.apache.commons.math.stat.descriptive.rank.Max
Copies source to dest.
copy() - Method in class org.apache.commons.math.stat.descriptive.rank.Min
Returns a copy of the statistic with the same internal state.
copy(Min, Min) - Static method in class org.apache.commons.math.stat.descriptive.rank.Min
Copies source to dest.
copy() - Method in class org.apache.commons.math.stat.descriptive.rank.Percentile
Returns a copy of the statistic with the same internal state.
copy(Percentile, Percentile) - Static method in class org.apache.commons.math.stat.descriptive.rank.Percentile
Copies source to dest.
copy() - Method in interface org.apache.commons.math.stat.descriptive.StorelessUnivariateStatistic
Returns a copy of the statistic with the same internal state.
copy() - Method in class org.apache.commons.math.stat.descriptive.summary.Product
Returns a copy of the statistic with the same internal state.
copy(Product, Product) - Static method in class org.apache.commons.math.stat.descriptive.summary.Product
Copies source to dest.
copy() - Method in class org.apache.commons.math.stat.descriptive.summary.Sum
Returns a copy of the statistic with the same internal state.
copy(Sum, Sum) - Static method in class org.apache.commons.math.stat.descriptive.summary.Sum
Copies source to dest.
copy() - Method in class org.apache.commons.math.stat.descriptive.summary.SumOfLogs
Returns a copy of the statistic with the same internal state.
copy(SumOfLogs, SumOfLogs) - Static method in class org.apache.commons.math.stat.descriptive.summary.SumOfLogs
Copies source to dest.
copy() - Method in class org.apache.commons.math.stat.descriptive.summary.SumOfSquares
Returns a copy of the statistic with the same internal state.
copy(SumOfSquares, SumOfSquares) - Static method in class org.apache.commons.math.stat.descriptive.summary.SumOfSquares
Copies source to dest.
copy() - Method in class org.apache.commons.math.stat.descriptive.SummaryStatistics
Returns a copy of this SummaryStatistics instance with the same internal state.
copy(SummaryStatistics, SummaryStatistics) - Static method in class org.apache.commons.math.stat.descriptive.SummaryStatistics
Copies source to dest.
copy() - Method in class org.apache.commons.math.stat.descriptive.SynchronizedDescriptiveStatistics
Returns a copy of this SynchronizedDescriptiveStatistics instance with the same internal state.
copy(SynchronizedDescriptiveStatistics, SynchronizedDescriptiveStatistics) - Static method in class org.apache.commons.math.stat.descriptive.SynchronizedDescriptiveStatistics
Copies source to dest.
copy() - Method in class org.apache.commons.math.stat.descriptive.SynchronizedSummaryStatistics
Returns a copy of this SynchronizedSummaryStatistics instance with the same internal state.
copy(SynchronizedSummaryStatistics, SynchronizedSummaryStatistics) - Static method in class org.apache.commons.math.stat.descriptive.SynchronizedSummaryStatistics
Copies source to dest.
copy() - Method in interface org.apache.commons.math.stat.descriptive.UnivariateStatistic
Returns a copy of the statistic with the same internal state.
copy(ResizableDoubleArray, ResizableDoubleArray) - Static method in class org.apache.commons.math.util.ResizableDoubleArray
Copies source to dest, copying the underlying data, so dest is a new, independent copy of source.
copy() - Method in class org.apache.commons.math.util.ResizableDoubleArray
Returns a copy of the ResizableDoubleArray.
copyFile(File, File) - Static method in class jhplot.math.io.DataFile
 
copyFile(File, File) - Static method in class jhplot.v3d.Util
Copies the contents of any disk file to a specified output file.
copyLinePars(LinePars) - Method in class jhplot.DrawOptions
Copy drawing options.
copyPos(Position) - Method in class jhplot.v3d.Position
 
copysign(Dfp, Dfp) - Static method in class org.apache.commons.math.dfp.Dfp
Creates an instance that is the same as x except that it has the sign of y.
copySign(double, double) - Static method in class org.apache.commons.math.util.FastMath
Returns the first argument with the sign of the second argument.
copySign(float, float) - Static method in class org.apache.commons.math.util.FastMath
Returns the first argument with the sign of the second argument.
copySubMatrix(int, int, int, int, T[][]) - Method in class org.apache.commons.math.linear.AbstractFieldMatrix
Copy a submatrix.
copySubMatrix(int[], int[], T[][]) - Method in class org.apache.commons.math.linear.AbstractFieldMatrix
Copy a submatrix.
copySubMatrix(int, int, int, int, double[][]) - Method in class org.apache.commons.math.linear.AbstractRealMatrix
Copy a submatrix.
copySubMatrix(int[], int[], double[][]) - Method in class org.apache.commons.math.linear.AbstractRealMatrix
Copy a submatrix.
copySubMatrix(int, int, int, int, T[][]) - Method in interface org.apache.commons.math.linear.FieldMatrix
Copy a submatrix.
copySubMatrix(int[], int[], T[][]) - Method in interface org.apache.commons.math.linear.FieldMatrix
Copy a submatrix.
copySubMatrix(int, int, int, int, double[][]) - Method in interface org.apache.commons.math.linear.RealMatrix
Copy a submatrix.
copySubMatrix(int[], int[], double[][]) - Method in interface org.apache.commons.math.linear.RealMatrix
Copy a submatrix.
core() - Method in class hep.aida.ref.function.BaseModelFunction
 
coreChanged() - Method in interface hep.aida.ref.function.FunctionCoreListener
 
CorrelatedRandomVectorGenerator - Class in org.apache.commons.math.random
A RandomVectorGenerator that generates vectors with with correlated components.
CorrelatedRandomVectorGenerator(double[], RealMatrix, double, NormalizedRandomGenerator) - Constructor for class org.apache.commons.math.random.CorrelatedRandomVectorGenerator
Simple constructor.
CorrelatedRandomVectorGenerator(RealMatrix, double, NormalizedRandomGenerator) - Constructor for class org.apache.commons.math.random.CorrelatedRandomVectorGenerator
Simple constructor.
correlation(double[], double[]) - Static method in class jhplot.math.ArrayMathUtils
Computes the (linear) correlation between two arrays.
correlation(int[], int[]) - Static method in class jhplot.math.ArrayMathUtils
Computes the (linear) correlation between two arrays.
correlation(double[], double[]) - Static method in class jhplot.math.StatisticSample
Correlation coefficient, covariance(v1, v2) / Math.sqrt(variance(v1) * variance(v2)
correlation(double[][], double[][]) - Static method in class jhplot.math.StatisticSample
Correlation coefficient, covariance(v1, v2) / Math.sqrt(variance(v1) * variance(v2)
correlation(double[][]) - Static method in class jhplot.math.StatisticSample
Correlation
correlation(P0D) - Method in class jhplot.P0D
Returns the correlation coefficient.
correlation(P0I) - Method in class jhplot.P0I
Returns the correlation coefficient.
correlation(double[], double[]) - Static method in class jhplot.stat.Statistics
Correlation coefficient, covariance(v1, v2) / Math.sqrt(variance(v1) * variance(v2)
correlation(double[][], double[][]) - Static method in class jhplot.stat.Statistics
Correlation coefficient, covariance(v1, v2) / Math.sqrt(variance(v1) * variance(v2)
correlation(double[][]) - Static method in class jhplot.stat.Statistics
Correlation
correlation(double[], double[]) - Method in class org.apache.commons.math.stat.correlation.PearsonsCorrelation
Computes the Pearson's product-moment correlation coefficient between the two arrays.
correlation(double[], double[]) - Method in class org.apache.commons.math.stat.correlation.SpearmansCorrelation
Computes the Spearman's rank correlation coefficient between the two arrays.
correlationObject() - Method in class hep.aida.ref.fitter.fitmethod.AbstractFitMethod
 
cos() - Method in class jhplot.math.Complex
Cosine of this Complex number (doesn't change this Complex number).
cos(ValueErr) - Static method in class jhplot.math.ValueErr
Cosine of a value wth error
COS - Static variable in class org.apache.commons.math.analysis.ComposableFunction
The FastMath.cos method wrapped as a ComposableFunction.
cos() - Method in class org.apache.commons.math.complex.Complex
Compute the cosine of this complex number.
cos(Dfp) - Static method in class org.apache.commons.math.dfp.DfpMath
computes the cosine of the argument.
cos(double) - Static method in class org.apache.commons.math.util.FastMath
Cosine function
cosh() - Method in class jhplot.math.Complex
Hyperbolic cosine of this Complex number (doesn't change this Complex number).
cosh(double) - Static method in class jhplot.math.num.special.Trigonometric
Returns the hyperbolic cosine of x.
cosh(ValueErr) - Static method in class jhplot.math.ValueErr
Hyperbolic cosine
COSH - Static variable in class org.apache.commons.math.analysis.ComposableFunction
The FastMath.cosh method wrapped as a ComposableFunction.
cosh() - Method in class org.apache.commons.math.complex.Complex
Compute the hyperbolic cosine of this complex number.
cosh(double) - Static method in class org.apache.commons.math.util.FastMath
Compute the hyperbolic cosine of a number.
cosh(double) - Static method in class org.apache.commons.math.util.MathUtils
Returns the hyperbolic cosine of x.
cosPhi() - Method in class hephysics.vec.SpacePoint
cos(phi)
cosTheta() - Method in class hephysics.vec.Hep3Vector
cosTheta
cosTheta(Hep3Vector) - Method in class hephysics.vec.Hep3Vector
Cosine Theta
cosTheta() - Method in class hephysics.vec.HepLorentzVector
cosTheta
cosTheta() - Method in class hephysics.vec.SpacePoint
cos(theta)
cosTheta(Hep3Vector) - Static method in class hephysics.vec.VecOp
 
covariance(double[], double[]) - Static method in class jhplot.math.ArrayMathUtils
Computes the covariance.
covariance(int[], int[]) - Static method in class jhplot.math.ArrayMathUtils
Computes the covariance.
covariance(double[], double[]) - Static method in class jhplot.math.StatisticSample
Covariance
covariance(double[][], double[][]) - Static method in class jhplot.math.StatisticSample
Covariance
covariance(double[][]) - Static method in class jhplot.math.StatisticSample
Covariance
covariance(P0D) - Method in class jhplot.P0D
Returns the covariance
covariance(P0I) - Method in class jhplot.P0I
Returns the covariance
covariance(double[], double[]) - Static method in class jhplot.stat.Statistics
Covariance
covariance(double[][], double[][]) - Static method in class jhplot.stat.Statistics
Covariance
covariance(double[][]) - Static method in class jhplot.stat.Statistics
Covariance
Covariance - Class in org.apache.commons.math.stat.correlation
Computes covariances for pairs of arrays or columns of a matrix.
Covariance() - Constructor for class org.apache.commons.math.stat.correlation.Covariance
Create a Covariance with no data
Covariance(double[][], boolean) - Constructor for class org.apache.commons.math.stat.correlation.Covariance
Create a Covariance matrix from a rectangular array whose columns represent covariates.
Covariance(double[][]) - Constructor for class org.apache.commons.math.stat.correlation.Covariance
Create a Covariance matrix from a rectangular array whose columns represent covariates.
Covariance(RealMatrix, boolean) - Constructor for class org.apache.commons.math.stat.correlation.Covariance
Create a covariance matrix from a matrix whose columns represent covariates.
Covariance(RealMatrix) - Constructor for class org.apache.commons.math.stat.correlation.Covariance
Create a covariance matrix from a matrix whose columns represent covariates.
covariance(double[], double[], boolean) - Method in class org.apache.commons.math.stat.correlation.Covariance
Computes the covariance between the two arrays.
covariance(double[], double[]) - Method in class org.apache.commons.math.stat.correlation.Covariance
Computes the covariance between the two arrays, using the bias-corrected formula.
covarianceToCorrelation(RealMatrix) - Method in class org.apache.commons.math.stat.correlation.PearsonsCorrelation
Derives a correlation matrix from a covariance matrix.
covMatrixElement(int, int) - Method in class hep.aida.ref.fitter.FitResult
 
cp(String, String) - Method in class hep.aida.ref.tree.Tree
Copy an object from a path to another.
cp(String, String, boolean) - Method in class hep.aida.ref.tree.Tree
Copy an object from a path to another.
create(Object) - Static method in class hep.aida.ref.fitter.fitdata.FitDataCreator
 
create(String) - Method in class hep.aida.ref.function.FunctionCatalog
 
create(String, String) - Method in class hep.aida.ref.function.FunctionCatalog
 
create(String, String, int) - Method in class hep.aida.ref.histogram.DataPointSetFactory
 
create(String, String, int, String) - Method in class hep.aida.ref.histogram.DataPointSetFactory
 
create(String, int, String) - Method in class hep.aida.ref.histogram.DataPointSetFactory
 
create(String, int) - Method in class hep.aida.ref.histogram.DataPointSetFactory
 
create(String, IHistogram1D) - Method in class hep.aida.ref.histogram.DataPointSetFactory
 
create(String, IHistogram1D, String) - Method in class hep.aida.ref.histogram.DataPointSetFactory
 
create(String, IHistogram2D) - Method in class hep.aida.ref.histogram.DataPointSetFactory
 
create(String, IHistogram2D, String) - Method in class hep.aida.ref.histogram.DataPointSetFactory
 
create(String, IHistogram3D) - Method in class hep.aida.ref.histogram.DataPointSetFactory
 
create(String, IHistogram3D, String) - Method in class hep.aida.ref.histogram.DataPointSetFactory
 
create(String, ICloud1D) - Method in class hep.aida.ref.histogram.DataPointSetFactory
 
create(String, ICloud1D, String) - Method in class hep.aida.ref.histogram.DataPointSetFactory
 
create(String, ICloud2D) - Method in class hep.aida.ref.histogram.DataPointSetFactory
 
create(String, ICloud2D, String) - Method in class hep.aida.ref.histogram.DataPointSetFactory
 
create(String, ICloud3D) - Method in class hep.aida.ref.histogram.DataPointSetFactory
 
create(String, ICloud3D, String) - Method in class hep.aida.ref.histogram.DataPointSetFactory
 
create(String, IProfile1D) - Method in class hep.aida.ref.histogram.DataPointSetFactory
 
create(String, IProfile1D, String) - Method in class hep.aida.ref.histogram.DataPointSetFactory
 
create(String, IProfile2D) - Method in class hep.aida.ref.histogram.DataPointSetFactory
 
create(String, IProfile2D, String) - Method in class hep.aida.ref.histogram.DataPointSetFactory
 
create() - Method in class hep.aida.ref.tree.TreeFactory
Creates a new tree and associates it with a store.
create(String) - Method in class hep.aida.ref.tree.TreeFactory
Creates a new tree and associates it with a store.
create(String, String) - Method in class hep.aida.ref.tree.TreeFactory
Creates a new tree and associates it with a store.
create(String, String, boolean) - Method in class hep.aida.ref.tree.TreeFactory
Creates a new tree and associates it with a store.
create(String, String, boolean, boolean) - Method in class hep.aida.ref.tree.TreeFactory
Creates a new tree and associates it with a store.
create(String, String, boolean, boolean, String) - Method in class hep.aida.ref.tree.TreeFactory
Creates a new tree and associates it with a store.
create(String, String, String[], Class[], String) - Method in class hep.aida.ref.tuple.TupleFactory
Create an NTuple
create(String, String, String[], Class[]) - Method in class hep.aida.ref.tuple.TupleFactory
 
create(String, String, String, String) - Method in class hep.aida.ref.tuple.TupleFactory
Create an NTuple
create(String, String, String) - Method in class hep.aida.ref.tuple.TupleFactory
 
create1DConnection(Object) - Method in class hep.aida.ref.fitter.fitdata.FitData
 
create1DConnection(IHistogram1D) - Method in class hep.aida.ref.fitter.fitdata.FitData
1D connections.
create1DConnection(IProfile1D) - Method in class hep.aida.ref.fitter.fitdata.FitData
 
create1DConnection(ICloud1D) - Method in class hep.aida.ref.fitter.fitdata.FitData
 
create1DConnection(IDataPointSet, int, int) - Method in class hep.aida.ref.fitter.fitdata.FitData
 
create1DConnection(double[], double[], double[]) - Method in class hep.aida.ref.fitter.fitdata.FitData
 
create2DConnection(IHistogram2D) - Method in class hep.aida.ref.fitter.fitdata.FitData
2D connections.
create2DConnection(IHistogram2D, int, int) - Method in class hep.aida.ref.fitter.fitdata.FitData
 
create2DConnection(IProfile2D) - Method in class hep.aida.ref.fitter.fitdata.FitData
 
create2DConnection(IProfile2D, int, int) - Method in class hep.aida.ref.fitter.fitdata.FitData
 
create2DConnection(ICloud2D) - Method in class hep.aida.ref.fitter.fitdata.FitData
 
create2DConnection(ICloud2D, int, int) - Method in class hep.aida.ref.fitter.fitdata.FitData
 
create2DConnection(IDataPointSet, int, int, int) - Method in class hep.aida.ref.fitter.fitdata.FitData
 
create3DConnection(IHistogram3D) - Method in class hep.aida.ref.fitter.fitdata.FitData
3D connections.
create3DConnection(IHistogram3D, int, int, int) - Method in class hep.aida.ref.fitter.fitdata.FitData
 
create3DConnection(ICloud3D) - Method in class hep.aida.ref.fitter.fitdata.FitData
 
create3DConnection(ICloud3D, int, int, int) - Method in class hep.aida.ref.fitter.fitdata.FitData
 
create3DConnection(IDataPointSet, int, int, int, int) - Method in class hep.aida.ref.fitter.fitdata.FitData
 
createAdaptor(RandomGenerator) - Static method in class org.apache.commons.math.random.RandomAdaptor
Factory method to create a Random using the supplied RandomGenerator.
createArithmeticException(String, Object...) - Static method in exception org.apache.commons.math.MathRuntimeException
Deprecated. as of 2.2 replaced by MathRuntimeException.createArithmeticException(Localizable, Object...)
createArithmeticException(Localizable, Object...) - Static method in exception org.apache.commons.math.MathRuntimeException
Constructs a new ArithmeticException with specified formatted detail message.
createArrayIndexOutOfBoundsException(String, Object...) - Static method in exception org.apache.commons.math.MathRuntimeException
Deprecated. as of 2.2 replaced by MathRuntimeException.createArrayIndexOutOfBoundsException(Localizable, Object...)
createArrayIndexOutOfBoundsException(Localizable, Object...) - Static method in exception org.apache.commons.math.MathRuntimeException
Constructs a new ArrayIndexOutOfBoundsException with specified formatted detail message.
createBean() - Method in class jhplot.io.csv.bean.HeaderColumnNameMappingStrategy
 
createBean() - Method in interface jhplot.io.csv.bean.MappingStrategy
 
createBigIdentityMatrix(int) - Static method in class org.apache.commons.math.linear.MatrixUtils
Deprecated. since 2.0, replaced by MatrixUtils.createFieldIdentityMatrix(Field, int)
createBigMatrix(double[][]) - Static method in class org.apache.commons.math.linear.MatrixUtils
Deprecated. since 2.0 replaced by MatrixUtils.createFieldMatrix(FieldElement[][])
createBigMatrix(BigDecimal[][]) - Static method in class org.apache.commons.math.linear.MatrixUtils
Deprecated. since 2.0 replaced by MatrixUtils.createFieldMatrix(FieldElement[][])
createBigMatrix(BigDecimal[][], boolean) - Static method in class org.apache.commons.math.linear.MatrixUtils
Deprecated. since 2.0 replaced by MatrixUtils.createFieldMatrix(FieldElement[][])
createBigMatrix(String[][]) - Static method in class org.apache.commons.math.linear.MatrixUtils
Deprecated. since 2.0 replaced by MatrixUtils.createFieldMatrix(FieldElement[][])
createBlocksLayout(Field<T>, int, int) - Static method in class org.apache.commons.math.linear.BlockFieldMatrix
Create a data array in blocks layout.
createBlocksLayout(int, int) - Static method in class org.apache.commons.math.linear.BlockRealMatrix
Create a data array in blocks layout.
createChained(String, String, ITuple[]) - Method in class hep.aida.ref.tuple.TupleFactory
Create a logical chain of ITuples.
createChained(String, String, String[]) - Method in class hep.aida.ref.tuple.TupleFactory
 
createChebyshevPolynomial(int) - Static method in class org.apache.commons.math.analysis.polynomials.PolynomialsUtils
Create a Chebyshev polynomial of the first kind.
createCloud1D(String, String, int, String) - Method in class hep.aida.ref.histogram.HistogramFactory
Create a Cloud1D, and unbinned 1-dimensional Histogram.
createCloud1D(String, String, int) - Method in class hep.aida.ref.histogram.HistogramFactory
 
createCloud1D(String, String) - Method in class hep.aida.ref.histogram.HistogramFactory
 
createCloud1D(String) - Method in class hep.aida.ref.histogram.HistogramFactory
 
createCloud2D(String, String, int, String) - Method in class hep.aida.ref.histogram.HistogramFactory
Create a Cloud2D, and unbinned 2-dimensional Histogram.
createCloud2D(String, String, int) - Method in class hep.aida.ref.histogram.HistogramFactory
 
createCloud2D(String, String) - Method in class hep.aida.ref.histogram.HistogramFactory
 
createCloud2D(String) - Method in class hep.aida.ref.histogram.HistogramFactory
 
createCloud3D(String, String, int, String) - Method in class hep.aida.ref.histogram.HistogramFactory
Create a Cloud3D, and unbinned 3-dimensional Histogram.
createCloud3D(String, String, int) - Method in class hep.aida.ref.histogram.HistogramFactory
 
createCloud3D(String, String) - Method in class hep.aida.ref.histogram.HistogramFactory
 
createCloud3D(String) - Method in class hep.aida.ref.histogram.HistogramFactory
 
createColumn(ITuple, int) - Static method in class hep.aida.ref.tuple.AbstractTuple.AbstractTupleColumnFactory
 
createColumnBigMatrix(double[]) - Static method in class org.apache.commons.math.linear.MatrixUtils
Deprecated. since 2.0 replaced by MatrixUtils.createColumnFieldMatrix(FieldElement[])
createColumnBigMatrix(BigDecimal[]) - Static method in class org.apache.commons.math.linear.MatrixUtils
Deprecated. since 2.0 replaced by MatrixUtils.createColumnFieldMatrix(FieldElement[])
createColumnBigMatrix(String[]) - Static method in class org.apache.commons.math.linear.MatrixUtils
Deprecated. since 2.0 replaced by MatrixUtils.createColumnFieldMatrix(FieldElement[])
createColumnFieldMatrix(T[]) - Static method in class org.apache.commons.math.linear.MatrixUtils
Creates a column FieldMatrix using the data from the input array.
createColumnRealMatrix(double[]) - Static method in class org.apache.commons.math.linear.MatrixUtils
Creates a column RealMatrix using the data from the input array.
createConcurrentModificationException(String, Object...) - Static method in exception org.apache.commons.math.MathRuntimeException
Deprecated. as of 2.2 replaced by MathRuntimeException.createConcurrentModificationException(Localizable, Object...)
createConcurrentModificationException(Localizable, Object...) - Static method in exception org.apache.commons.math.MathRuntimeException
Constructs a new ConcurrentModificationException with specified formatted detail message.
createConnection(IDataPointSet, int[], int) - Method in class hep.aida.ref.fitter.fitdata.FitData
Generic connections.
createConnection(ITuple, IEvaluator[]) - Method in class hep.aida.ref.fitter.fitdata.FitData
 
createConnection(ITuple, String[]) - Method in class hep.aida.ref.fitter.fitdata.FitData
 
createContour(IFitData, IFitResult, String, String, int, double) - Method in class hep.aida.ref.fitter.Fitter
 
createContributingStatistics() - Method in class org.apache.commons.math.stat.descriptive.AggregateSummaryStatistics
Creates and returns a SummaryStatistics whose data will be aggregated with those of this AggregateSummaryStatistics.
createCopy(String, IDataPointSet) - Method in class hep.aida.ref.histogram.DataPointSetFactory
 
createCopy(String, ICloud1D) - Method in class hep.aida.ref.histogram.HistogramFactory
 
createCopy(String, ICloud2D) - Method in class hep.aida.ref.histogram.HistogramFactory
 
createCopy(String, ICloud3D) - Method in class hep.aida.ref.histogram.HistogramFactory
 
createCopy(String, IHistogram1D) - Method in class hep.aida.ref.histogram.HistogramFactory
 
createCopy(String, IHistogram2D) - Method in class hep.aida.ref.histogram.HistogramFactory
 
createCopy(String, IHistogram3D) - Method in class hep.aida.ref.histogram.HistogramFactory
 
createCopy(String, IProfile1D) - Method in class hep.aida.ref.histogram.HistogramFactory
 
createCopy(String, IProfile2D) - Method in class hep.aida.ref.histogram.HistogramFactory
 
createCopy(String, ITuple) - Method in class hep.aida.ref.tuple.TupleFactory
Create a copy of an ITuple.
createDataPointSetFactory(ITree, String) - Method in class hep.aida.ref.BatchAnalysisFactory
 
createEOFException(String, Object...) - Static method in exception org.apache.commons.math.MathRuntimeException
Deprecated. as of 2.2 replaced by MathRuntimeException.createEOFException(Localizable, Object...)
createEOFException(Localizable, Object...) - Static method in exception org.apache.commons.math.MathRuntimeException
Constructs a new EOFException with specified formatted detail message.
createEvaluator(String) - Method in class hep.aida.ref.tuple.TupleFactory
Create IEvaluator.
createFieldDiagonalMatrix(T[]) - Static method in class org.apache.commons.math.linear.MatrixUtils
Returns a diagonal matrix with specified elements.
createFieldIdentityMatrix(Field<T>, int) - Static method in class org.apache.commons.math.linear.MatrixUtils
Returns dimension x dimension identity matrix.
createFieldMatrix(Field<T>, int, int) - Static method in class org.apache.commons.math.linear.MatrixUtils
Returns a FieldMatrix with specified dimensions.
createFieldMatrix(T[][]) - Static method in class org.apache.commons.math.linear.MatrixUtils
Returns a FieldMatrix whose entries are the the values in the the input array.
createFieldVector(T[]) - Static method in class org.apache.commons.math.linear.MatrixUtils
Creates a FieldVector using the data from the input array.
createFilter(String) - Method in class hep.aida.ref.tuple.TupleFactory
Create IFilter.
createFilter(String, int, int) - Method in class hep.aida.ref.tuple.TupleFactory
 
createFilter(String, int) - Method in class hep.aida.ref.tuple.TupleFactory
 
createFiltered(String, ITuple, IFilter) - Method in class hep.aida.ref.tuple.TupleFactory
 
createFiltered(String, ITuple, IFilter, String[]) - Method in class hep.aida.ref.tuple.TupleFactory
 
createFitData() - Method in class hep.aida.ref.fitter.FitFactory
 
createFitFactory(String) - Method in class hep.aida.ref.BatchAnalysisFactory
 
createFitter() - Method in class hep.aida.ref.fitter.FitFactory
 
createFitter(String) - Method in class hep.aida.ref.fitter.FitFactory
 
createFitter(String, String) - Method in class hep.aida.ref.fitter.FitFactory
 
createFitter(String, String, String) - Method in class hep.aida.ref.fitter.FitFactory
 
createFolderColumn(String, Tuple, String, Tuple) - Static method in class hep.aida.ref.tuple.Tuple.TupleColumnFactory
 
createFromCodelet(String) - Method in class hep.aida.ref.function.FunctionCreator
 
createFromCodelet(String, String) - Method in class hep.aida.ref.function.FunctionCreator
 
createFunctionByName(String, String) - Method in class hep.aida.ref.function.FunctionFactory
Create function from a name registered in the catalog.
createFunctionFactory(ITree, String) - Method in class hep.aida.ref.BatchAnalysisFactory
 
createFunctionFromScript(String, int, String, String, String) - Method in class hep.aida.ref.function.FunctionFactory
Create function from script.
createFunctionFromScript(String, int, String, String, String, String) - Method in class hep.aida.ref.function.FunctionFactory
Create function from script.
createGenericFactory(String, String) - Method in class hep.aida.ref.BatchAnalysisFactory
 
createHermitePolynomial(int) - Static method in class org.apache.commons.math.analysis.polynomials.PolynomialsUtils
Create a Hermite polynomial.
createHistogram1D(String, String, int, double, double, String) - Method in class hep.aida.ref.histogram.HistogramFactory
 
createHistogram1D(String, String, int, double, double) - Method in class hep.aida.ref.histogram.HistogramFactory
 
createHistogram1D(String, int, double, double) - Method in class hep.aida.ref.histogram.HistogramFactory
 
createHistogram1D(String, String, double[], String) - Method in class hep.aida.ref.histogram.HistogramFactory
 
createHistogram1D(String, String, double[]) - Method in class hep.aida.ref.histogram.HistogramFactory
 
createHistogram2D(String, String, int, double, double, int, double, double, String) - Method in class hep.aida.ref.histogram.HistogramFactory
Create a IHistogram2D.
createHistogram2D(String, String, int, double, double, int, double, double) - Method in class hep.aida.ref.histogram.HistogramFactory
 
createHistogram2D(String, int, double, double, int, double, double) - Method in class hep.aida.ref.histogram.HistogramFactory
 
createHistogram2D(String, String, double[], double[], String) - Method in class hep.aida.ref.histogram.HistogramFactory
 
createHistogram2D(String, String, double[], double[]) - Method in class hep.aida.ref.histogram.HistogramFactory
 
createHistogram3D(String, String, int, double, double, int, double, double, int, double, double, String) - Method in class hep.aida.ref.histogram.HistogramFactory
Create a IHistogram3D.
createHistogram3D(String, String, int, double, double, int, double, double, int, double, double) - Method in class hep.aida.ref.histogram.HistogramFactory
 
createHistogram3D(String, int, double, double, int, double, double, int, double, double) - Method in class hep.aida.ref.histogram.HistogramFactory
 
createHistogram3D(String, String, double[], double[], double[], String) - Method in class hep.aida.ref.histogram.HistogramFactory
 
createHistogram3D(String, String, double[], double[], double[]) - Method in class hep.aida.ref.histogram.HistogramFactory
 
createHistogramFactory(ITree, String) - Method in class hep.aida.ref.BatchAnalysisFactory
 
createIllegalArgumentException(String, Object...) - Static method in exception org.apache.commons.math.MathRuntimeException
Deprecated. as of 2.2 replaced by MathRuntimeException.createIllegalArgumentException(Localizable, Object...)
createIllegalArgumentException(Localizable, Object...) - Static method in exception org.apache.commons.math.MathRuntimeException
Constructs a new IllegalArgumentException with specified formatted detail message.
createIllegalArgumentException(Throwable) - Static method in exception org.apache.commons.math.MathRuntimeException
Constructs a new IllegalArgumentException with specified nested Throwable root cause.
createIllegalStateException(String, Object...) - Static method in exception org.apache.commons.math.MathRuntimeException
Deprecated. as of 2.2 replaced by MathRuntimeException.createIllegalStateException(Localizable, Object...)
createIllegalStateException(Localizable, Object...) - Static method in exception org.apache.commons.math.MathRuntimeException
Constructs a new IllegalStateException with specified formatted detail message.
createInternalError(Throwable) - Static method in exception org.apache.commons.math.MathRuntimeException
Create an RuntimeException for an internal error.
createIOException(Throwable) - Static method in exception org.apache.commons.math.MathRuntimeException
Constructs a new IOException with specified nested Throwable root cause.
createJELFunctionCore(int, String, String, String) - Method in class hep.aida.ref.function.JELBaseModelFunction
 
createLaguerrePolynomial(int) - Static method in class org.apache.commons.math.analysis.polynomials.PolynomialsUtils
Create a Laguerre polynomial.
createLatexPanel() - Method in class jhplot.jadraw.JaLatexText
Creates a new Panel that display a Label with the String specifying this JaLatexText.
createLegendrePolynomial(int) - Static method in class org.apache.commons.math.analysis.polynomials.PolynomialsUtils
Create a Legendre polynomial.
createManagedObjectGenericFactory(String, ITree, String) - Method in class hep.aida.ref.BatchAnalysisFactory
 
createMatrix(int, int) - Method in class org.apache.commons.math.linear.AbstractFieldMatrix
Create a new FieldMatrix of the same type as the instance with the supplied row and column dimensions.
createMatrix(int, int) - Method in class org.apache.commons.math.linear.AbstractRealMatrix
Create a new RealMatrix of the same type as the instance with the supplied row and column dimensions.
createMatrix(int, int) - Method in class org.apache.commons.math.linear.Array2DRowFieldMatrix
Create a new FieldMatrix of the same type as the instance with the supplied row and column dimensions.
createMatrix(int, int) - Method in class org.apache.commons.math.linear.Array2DRowRealMatrix
Create a new RealMatrix of the same type as the instance with the supplied row and column dimensions.
createMatrix(int, int) - Method in class org.apache.commons.math.linear.BlockFieldMatrix
Create a new FieldMatrix of the same type as the instance with the supplied row and column dimensions.
createMatrix(int, int) - Method in class org.apache.commons.math.linear.BlockRealMatrix
Create a new RealMatrix of the same type as the instance with the supplied row and column dimensions.
createMatrix(int, int) - Method in interface org.apache.commons.math.linear.FieldMatrix
Create a new FieldMatrix of the same type as the instance with the supplied row and column dimensions.
createMatrix(int, int) - Method in class org.apache.commons.math.linear.OpenMapRealMatrix
Create a new RealMatrix of the same type as the instance with the supplied row and column dimensions.
createMatrix(int, int) - Method in interface org.apache.commons.math.linear.RealMatrix
Create a new RealMatrix of the same type as the instance with the supplied row and column dimensions.
createMatrix(int, int) - Method in class org.apache.commons.math.linear.RealMatrixImpl
Deprecated. Create a new RealMatrix of the same type as the instance with the supplied row and column dimensions.
createMatrix(int, int) - Method in class org.apache.commons.math.linear.SparseFieldMatrix
Create a new FieldMatrix of the same type as the instance with the supplied row and column dimensions.
createNamedTree(String, String, String) - Method in class hep.aida.ref.tree.TreeFactory
 
createNamedTree(String, String, String, int) - Method in class hep.aida.ref.tree.TreeFactory
 
createNamedTree(String, String, String, int, String) - Method in class hep.aida.ref.tree.TreeFactory
 
createNoSuchElementException(String, Object...) - Static method in exception org.apache.commons.math.MathRuntimeException
Deprecated. as of 2.2 replaced by MathRuntimeException.createNoSuchElementException(Localizable, Object...)
createNoSuchElementException(Localizable, Object...) - Static method in exception org.apache.commons.math.MathRuntimeException
Constructs a new NoSuchElementException with specified formatted detail message.
createNullPointerException(String, Object...) - Static method in exception org.apache.commons.math.MathRuntimeException
Deprecated. as of 2.2 replaced by MathRuntimeException.createNullPointerException(Localizable, Object...)
createNullPointerException(Localizable, Object...) - Static method in exception org.apache.commons.math.MathRuntimeException
Deprecated. in 2.2. Checks for "null" must not be performed in Commons-Math.
createOptionsString(Map) - Static method in class hep.aida.ref.AidaUtils
 
createParseException(int, String, Object...) - Static method in exception org.apache.commons.math.MathRuntimeException
Deprecated. as of 2.2 replaced by MathRuntimeException.createParseException(int, Localizable, Object...)
createParseException(int, Localizable, Object...) - Static method in exception org.apache.commons.math.MathRuntimeException
Constructs a new ParseException with specified formatted detail message.
createPlotterFactory() - Method in class hep.aida.ref.AnalysisFactory
 
createPlotterFactory(String) - Method in class hep.aida.ref.BatchAnalysisFactory
 
createProfile1D(String, String, int, double, double, String) - Method in class hep.aida.ref.histogram.HistogramFactory
Create a IProfile1D.
createProfile1D(String, String, int, double, double) - Method in class hep.aida.ref.histogram.HistogramFactory
 
createProfile1D(String, String, int, double, double, double, double, String) - Method in class hep.aida.ref.histogram.HistogramFactory
 
createProfile1D(String, String, int, double, double, double, double) - Method in class hep.aida.ref.histogram.HistogramFactory
 
createProfile1D(String, int, double, double) - Method in class hep.aida.ref.histogram.HistogramFactory
 
createProfile1D(String, int, double, double, double, double) - Method in class hep.aida.ref.histogram.HistogramFactory
 
createProfile1D(String, String, double[], String) - Method in class hep.aida.ref.histogram.HistogramFactory
 
createProfile1D(String, String, double[]) - Method in class hep.aida.ref.histogram.HistogramFactory
 
createProfile1D(String, String, double[], double, double, String) - Method in class hep.aida.ref.histogram.HistogramFactory
 
createProfile1D(String, String, double[], double, double) - Method in class hep.aida.ref.histogram.HistogramFactory
 
createProfile2D(String, String, int, double, double, int, double, double, String) - Method in class hep.aida.ref.histogram.HistogramFactory
Create a IProfile2D.
createProfile2D(String, String, int, double, double, int, double, double) - Method in class hep.aida.ref.histogram.HistogramFactory
 
createProfile2D(String, String, int, double, double, int, double, double, double, double, String) - Method in class hep.aida.ref.histogram.HistogramFactory
 
createProfile2D(String, String, int, double, double, int, double, double, double, double) - Method in class hep.aida.ref.histogram.HistogramFactory
 
createProfile2D(String, int, double, double, int, double, double) - Method in class hep.aida.ref.histogram.HistogramFactory
 
createProfile2D(String, int, double, double, int, double, double, double, double) - Method in class hep.aida.ref.histogram.HistogramFactory
 
createProfile2D(String, String, double[], double[], String) - Method in class hep.aida.ref.histogram.HistogramFactory
 
createProfile2D(String, String, double[], double[]) - Method in class hep.aida.ref.histogram.HistogramFactory
 
createProfile2D(String, String, double[], double[], double, double, String) - Method in class hep.aida.ref.histogram.HistogramFactory
 
createProfile2D(String, String, double[], double[], double, double) - Method in class hep.aida.ref.histogram.HistogramFactory
 
createRealDiagonalMatrix(double[]) - Static method in class org.apache.commons.math.linear.MatrixUtils
Returns a diagonal matrix with specified elements.
createRealIdentityMatrix(int) - Static method in class org.apache.commons.math.linear.MatrixUtils
Returns dimension x dimension identity matrix.
createRealMatrix(int, int) - Static method in class org.apache.commons.math.linear.MatrixUtils
Returns a RealMatrix with specified dimensions.
createRealMatrix(double[][]) - Static method in class org.apache.commons.math.linear.MatrixUtils
Returns a RealMatrix whose entries are the the values in the the input array.
createRealVector(double[]) - Static method in class org.apache.commons.math.linear.MatrixUtils
Creates a RealVector using the data from the input array.
createRowBigMatrix(double[]) - Static method in class org.apache.commons.math.linear.MatrixUtils
Deprecated. since 2.0 replaced by MatrixUtils.createRowFieldMatrix(FieldElement[])
createRowBigMatrix(BigDecimal[]) - Static method in class org.apache.commons.math.linear.MatrixUtils
Deprecated. since 2.0 replaced by MatrixUtils.createRowFieldMatrix(FieldElement[])
createRowBigMatrix(String[]) - Static method in class org.apache.commons.math.linear.MatrixUtils
Deprecated. since 2.0 replaced by MatrixUtils.createRowFieldMatrix(FieldElement[])
createRowFieldMatrix(T[]) - Static method in class org.apache.commons.math.linear.MatrixUtils
Creates a row FieldMatrix using the data from the input array.
createRowRealMatrix(double[]) - Static method in class org.apache.commons.math.linear.MatrixUtils
Creates a row RealMatrix using the data from the input array.
createScan1D(IFitData, IFunction, String, int, double, double) - Method in class hep.aida.ref.fitter.Fitter
 
createTree() - Method in class hep.aida.ref.tree.TreeFactory
Creates a new tree and associates it with a store.
createTree(String) - Method in class hep.aida.ref.tree.TreeFactory
 
createTree(String, String) - Method in class hep.aida.ref.tree.TreeFactory
 
createTree(String, String, String) - Method in class hep.aida.ref.tree.TreeFactory
 
createTree(String, String, int) - Method in class hep.aida.ref.tree.TreeFactory
 
createTree(String, String, int, String) - Method in class hep.aida.ref.tree.TreeFactory
 
createTreeFactory(String) - Method in class hep.aida.ref.BatchAnalysisFactory
 
createTupleColumn(String, Class, Value, Tuple) - Static method in class hep.aida.ref.tuple.Tuple.TupleColumnFactory
 
createTupleColumn(String, Class, Value, String, Tuple) - Static method in class hep.aida.ref.tuple.Tuple.TupleColumnFactory
 
createTupleFactory(ITree, String) - Method in class hep.aida.ref.BatchAnalysisFactory
 
createUnsupportedOperationException(Localizable, Object...) - Static method in exception org.apache.commons.math.MathRuntimeException
Deprecated. in 2.2. Please use MathUnsupportedOperationException instead.
createX(String, double[], double[]) - Method in class hep.aida.ref.histogram.DataPointSetFactory
 
createX(String, String, double[], double[]) - Method in class hep.aida.ref.histogram.DataPointSetFactory
 
createX(String, double[], double[], double[]) - Method in class hep.aida.ref.histogram.DataPointSetFactory
 
createX(String, String, double[], double[], double[]) - Method in class hep.aida.ref.histogram.DataPointSetFactory
 
createXY(String, double[], double[], double[], double[]) - Method in class hep.aida.ref.histogram.DataPointSetFactory
 
createXY(String, String, double[], double[], double[], double[]) - Method in class hep.aida.ref.histogram.DataPointSetFactory
 
createXY(String, double[], double[], double[], double[], double[], double[]) - Method in class hep.aida.ref.histogram.DataPointSetFactory
 
createXY(String, String, double[], double[], double[], double[], double[], double[]) - Method in class hep.aida.ref.histogram.DataPointSetFactory
 
createXYZ(String, double[], double[], double[], double[], double[], double[]) - Method in class hep.aida.ref.histogram.DataPointSetFactory
 
createXYZ(String, String, double[], double[], double[], double[], double[], double[]) - Method in class hep.aida.ref.histogram.DataPointSetFactory
 
createXYZ(String, double[], double[], double[], double[], double[], double[], double[], double[], double[]) - Method in class hep.aida.ref.histogram.DataPointSetFactory
 
createXYZ(String, String, double[], double[], double[], double[], double[], double[], double[], double[], double[]) - Method in class hep.aida.ref.histogram.DataPointSetFactory
 
createY(String, double[], double[]) - Method in class hep.aida.ref.histogram.DataPointSetFactory
 
createY(String, double[], double[], double[]) - Method in class hep.aida.ref.histogram.DataPointSetFactory
 
createY(String, String, double[], double[]) - Method in class hep.aida.ref.histogram.DataPointSetFactory
 
createY(String, String, double[], double[], double[]) - Method in class hep.aida.ref.histogram.DataPointSetFactory
 
cross(Hep3Vector, Hep3Vector) - Method in class hephysics.vec.Hep3Vector
Cross product of 2 vectors
cross(Hep3Vector, Hep3Vector) - Static method in class hephysics.vec.VecOp
 
crossover(Chromosome, Chromosome) - Method in interface org.apache.commons.math.genetics.CrossoverPolicy
Perform a crossover operation on the given chromosomes.
crossover(Chromosome, Chromosome) - Method in class org.apache.commons.math.genetics.OnePointCrossover
Performs one point crossover.
CrossoverPolicy - Interface in org.apache.commons.math.genetics
Policy used to create a pair of new chromosomes by performing a crossover operation on a source pair of chromosomes.
crossProduct(Vector3D, Vector3D) - Static method in class org.apache.commons.math.geometry.Vector3D
Compute the cross-product of two vectors.
crossSqDistance(Matrix) - Method in class jhplot.bsom.Matrix
Cross squared Euclidean distance Matrix: Z_{ij} = ||X_i - Y_j||^2
CSVReader - Class in jhplot.io.csv
A very simple CSV reader released under a commercial-friendly license.
CSVReader(Reader) - Constructor for class jhplot.io.csv.CSVReader
Constructs CSVReader using a comma for the separator.
CSVReader(String) - Constructor for class jhplot.io.csv.CSVReader
Constructs CSVReader using a comma for the separator.
CSVReader(Reader, char) - Constructor for class jhplot.io.csv.CSVReader
Constructs CSVReader with supplied separator.
CSVReader(String, char) - Constructor for class jhplot.io.csv.CSVReader
Constructs CSVReader with supplied separator.
CSVReader(Reader, char, char) - Constructor for class jhplot.io.csv.CSVReader
Constructs CSVReader with supplied separator and quote char.
CSVReader(String, char, char) - Constructor for class jhplot.io.csv.CSVReader
Constructs CSVReader with supplied separator and quote char.
CSVReader(Reader, char, char, int) - Constructor for class jhplot.io.csv.CSVReader
Constructs CSVReader with supplied separator and quote char.
CSVReader(String, char, char, int) - Constructor for class jhplot.io.csv.CSVReader
Constructs CSVReader with supplied separator and quote char.
CsvToBean - Class in jhplot.io.csv.bean
 
CsvToBean() - Constructor for class jhplot.io.csv.bean.CsvToBean
 
CSVWriter - Class in jhplot.io.csv
A very simple CSV writer released under a commercial-friendly license.
CSVWriter(Writer) - Constructor for class jhplot.io.csv.CSVWriter
Constructs CSVWriter using a comma for the separator.
CSVWriter(String) - Constructor for class jhplot.io.csv.CSVWriter
Constructs CSVWriter using a comma for the separator.
CSVWriter(Writer, char) - Constructor for class jhplot.io.csv.CSVWriter
Constructs CSVWriter with supplied separator.
CSVWriter(String, char) - Constructor for class jhplot.io.csv.CSVWriter
Constructs CSVWriter with supplied separator.
CSVWriter(Writer, char, char) - Constructor for class jhplot.io.csv.CSVWriter
Constructs CSVWriter with supplied separator and quote char.
CSVWriter(String, char, char) - Constructor for class jhplot.io.csv.CSVWriter
Constructs CSVWriter with supplied separator and quote char.
CSVWriter(Writer, char, char, char) - Constructor for class jhplot.io.csv.CSVWriter
Constructs CSVWriter with supplied separator and quote char.
CSVWriter(Writer, char, char, String) - Constructor for class jhplot.io.csv.CSVWriter
Constructs CSVWriter with supplied separator and quote char.
CSVWriter(String, char, char, String) - Constructor for class jhplot.io.csv.CSVWriter
Constructs CSVWriter with supplied separator and quote char.
CSVWriter(Writer, char, char, char, String) - Constructor for class jhplot.io.csv.CSVWriter
Constructs CSVWriter with supplied separator, quote char, escape char and line ending.
CSVWriter(String, char, char, char, String) - Constructor for class jhplot.io.csv.CSVWriter
Constructs CSVWriter with supplied separator, quote char, escape char and line ending.
Cube - Class in jhplot.v3d
Build a cube
Cube(Model3d, float) - Constructor for class jhplot.v3d.Cube
 
cumProduct(double[]) - Static method in class jhplot.math.DoubleArray
Calculates cumulative product of the values in an array.
cumProduct(double[][]) - Static method in class jhplot.math.DoubleArray
Calculates the cumulative product of each column in a matrix.
cumSum(double[]) - Static method in class jhplot.math.DoubleArray
Calculates the cumulative sum of an array.
cumSum(double[][]) - Static method in class jhplot.math.DoubleArray
Calculates the cumulative sum of each column in a matrix.
cumulativeProbability(double) - Method in class jhplot.math.num.pdf.Beta
The CDF for this distribution.
cumulativeProbability(int) - Method in class jhplot.math.num.pdf.Binomial
The CDF for this distribution.
cumulativeProbability(double) - Method in class jhplot.math.num.pdf.Cauchy
The CDF for this distribution.
cumulativeProbability(double) - Method in class jhplot.math.num.pdf.ChiSquared
The CDF for this distribution.
cumulativeProbability(double) - Method in class jhplot.math.num.pdf.ContinuousDistribution
The CDF for this distribution.
cumulativeProbability(int) - Method in class jhplot.math.num.pdf.DiscreteDistribution
The CDF for this distribution.
cumulativeProbability(double) - Method in class jhplot.math.num.pdf.Exponential
The CDF for this distribution.
cumulativeProbability(double) - Method in class jhplot.math.num.pdf.FDistribution
The CDF for this distribution.
cumulativeProbability(double) - Method in class jhplot.math.num.pdf.Gamma
The CDF for this distribution.
cumulativeProbability(int) - Method in class jhplot.math.num.pdf.Geometric
The CDF for this distribution.
cumulativeProbability(int) - Method in class jhplot.math.num.pdf.Hypergeometric
The CDF for this distribution.
cumulativeProbability(double) - Method in class jhplot.math.num.pdf.Laplace
The CDF for this distribution.
cumulativeProbability(double) - Method in class jhplot.math.num.pdf.Logistic
The CDF for this distribution.
cumulativeProbability(double) - Method in class jhplot.math.num.pdf.LogNormal
The CDF for this distribution.
cumulativeProbability(int) - Method in class jhplot.math.num.pdf.NegativeBinomial
The CDF for this distribution.
cumulativeProbability(double) - Method in class jhplot.math.num.pdf.Normal
The CDF for this distribution.
cumulativeProbability(int) - Method in class jhplot.math.num.pdf.Poisson
The CDF for this distribution.
cumulativeProbability(double) - Method in class jhplot.math.num.pdf.Rayleigh
The CDF for this distribution.
cumulativeProbability(double) - Method in class jhplot.math.num.pdf.TDistribution
The CDF for this distribution.
cumulativeProbability(double) - Method in class jhplot.math.num.pdf.Uniform
The CDF for this distribution.
cumulativeProbability(double) - Method in class jhplot.math.num.pdf.Weibull
The CDF for this distribution.
cumulativeProbability(double, double) - Method in class org.apache.commons.math.distribution.AbstractDistribution
For a random variable X whose values are distributed according to this distribution, this method returns P(x0 ≤ X ≤ x1).
cumulativeProbability(double) - Method in class org.apache.commons.math.distribution.AbstractIntegerDistribution
For a random variable X whose values are distributed according to this distribution, this method returns P(X ≤ x).
cumulativeProbability(double, double) - Method in class org.apache.commons.math.distribution.AbstractIntegerDistribution
For a random variable X whose values are distributed according to this distribution, this method returns P(x0 ≤ X ≤ x1).
cumulativeProbability(int) - Method in class org.apache.commons.math.distribution.AbstractIntegerDistribution
For a random variable X whose values are distributed according to this distribution, this method returns P(X ≤ x).
cumulativeProbability(int, int) - Method in class org.apache.commons.math.distribution.AbstractIntegerDistribution
For a random variable X whose values are distributed according to this distribution, this method returns P(x0 ≤ X ≤ x1).
cumulativeProbability(double) - Method in class org.apache.commons.math.distribution.BetaDistributionImpl
For a random variable X whose values are distributed according to this distribution, this method returns P(X ≤ x).
cumulativeProbability(double, double) - Method in class org.apache.commons.math.distribution.BetaDistributionImpl
For a random variable X whose values are distributed according to this distribution, this method returns P(x0 ≤ X ≤ x1).
cumulativeProbability(int) - Method in class org.apache.commons.math.distribution.BinomialDistributionImpl
For this distribution, X, this method returns P(X ≤ x).
cumulativeProbability(double) - Method in class org.apache.commons.math.distribution.CauchyDistributionImpl
For this distribution, X, this method returns P(X < x).
cumulativeProbability(double) - Method in class org.apache.commons.math.distribution.ChiSquaredDistributionImpl
For this distribution, X, this method returns P(X < x).
cumulativeProbability(double) - Method in interface org.apache.commons.math.distribution.Distribution
For a random variable X whose values are distributed according to this distribution, this method returns P(X ≤ x).
cumulativeProbability(double, double) - Method in interface org.apache.commons.math.distribution.Distribution
For a random variable X whose values are distributed according to this distribution, this method returns P(x0 ≤ X ≤ x1).
cumulativeProbability(double) - Method in class org.apache.commons.math.distribution.ExponentialDistributionImpl
For this distribution, X, this method returns P(X < x).
cumulativeProbability(double) - Method in class org.apache.commons.math.distribution.FDistributionImpl
For this distribution, X, this method returns P(X < x).
cumulativeProbability(double) - Method in class org.apache.commons.math.distribution.GammaDistributionImpl
For this distribution, X, this method returns P(X < x).
cumulativeProbability(int) - Method in class org.apache.commons.math.distribution.HypergeometricDistributionImpl
For this distribution, X, this method returns P(X ≤ x).
cumulativeProbability(int) - Method in interface org.apache.commons.math.distribution.IntegerDistribution
For a random variable X whose values are distributed according to this distribution, this method returns P(X ≤ x).
cumulativeProbability(int, int) - Method in interface org.apache.commons.math.distribution.IntegerDistribution
For this distribution, X, this method returns P(x0 ≤ X ≤ x1).
cumulativeProbability(double) - Method in class org.apache.commons.math.distribution.NormalDistributionImpl
For this distribution, X, this method returns P(X < x).
cumulativeProbability(int) - Method in class org.apache.commons.math.distribution.PascalDistributionImpl
For this distribution, X, this method returns P(X ≤ x).
cumulativeProbability(int) - Method in class org.apache.commons.math.distribution.PoissonDistributionImpl
The probability distribution function P(X <= x) for a Poisson distribution.
cumulativeProbability(double) - Method in class org.apache.commons.math.distribution.TDistributionImpl
For this distribution, X, this method returns P(X < x).
cumulativeProbability(double) - Method in class org.apache.commons.math.distribution.WeibullDistributionImpl
For this distribution, X, this method returns P(X < x).
cumulativeProbability(int) - Method in class org.apache.commons.math.distribution.ZipfDistributionImpl
The probability distribution function P(X <= x) for a Zipf distribution.
cursor() - Method in class hep.aida.ref.tuple.AbstractTuple
 
cursor() - Method in interface hep.aida.ref.tuple.FTuple
 
cursor() - Method in class hep.aida.ref.tuple.FTupleAdapter
 
CurveFitter - Class in org.apache.commons.math.optimization.fitting
Fitter for parametric univariate real functions y = f(x).
CurveFitter(DifferentiableMultivariateVectorialOptimizer) - Constructor for class org.apache.commons.math.optimization.fitting.CurveFitter
Simple constructor.
Cylinder - Class in jhplot.v3d
Build a Cylinder.
Cylinder(Model3d, float, int, float) - Constructor for class jhplot.v3d.Cylinder
 

D

D_FORMAT - Static variable in class jhplot.jadraw.JaObject
The decimal format used for numbers in LaTeX output.
dataDescription() - Method in class hep.aida.ref.fitter.fitdata.FitData
 
dataDescription() - Method in class hep.aida.ref.fitter.FitResult
 
DataFile - Class in jhplot.math.io
BSD License
DataFile(File) - Constructor for class jhplot.math.io.DataFile
 
DataHolder - Class in jminhep.cluster
Represents an abstraction for a data holder in many dimensional space.
DataHolder() - Constructor for class jminhep.cluster.DataHolder
Creates a new empty instance of data holder
DataHolder(int) - Constructor for class jminhep.cluster.DataHolder
Creates a new empty instance of data point
DataHolder(String) - Constructor for class jminhep.cluster.DataHolder
Creates a new empty instance of data point
DataHolder(DataPoint, DataPoint, int, int) - Constructor for class jminhep.cluster.DataHolder
Creates data holder with random number Input:
dataIterator() - Method in class hep.aida.ref.fitter.fitdata.FitData
 
DataKeeper - Class in jhpro.stat
A convenient class to keep data with error for an internal representation.
DataKeeper(int) - Constructor for class jhpro.stat.DataKeeper
 
DataKeeper(P1D) - Constructor for class jhpro.stat.DataKeeper
Initialize from a P1D
DataKeeper(H1D) - Constructor for class jhpro.stat.DataKeeper
Initialize from a histogram
DataPoint - Class in hep.aida.ref.histogram
Basic user-level interface class for holding and managing a single set of "measurements".
DataPoint(int) - Constructor for class hep.aida.ref.histogram.DataPoint
 
DataPoint(IDataPoint) - Constructor for class hep.aida.ref.histogram.DataPoint
 
DataPoint(IMeasurement[]) - Constructor for class hep.aida.ref.histogram.DataPoint
 
DataPoint(double[]) - Constructor for class hep.aida.ref.histogram.DataPoint
 
DataPoint(double[], double[]) - Constructor for class hep.aida.ref.histogram.DataPoint
 
DataPoint(double[], double[], double[]) - Constructor for class hep.aida.ref.histogram.DataPoint
 
DataPoint - Class in jminhep.cluster
Represents an abstraction for a data point in many-dimensional space
DataPoint(double[], int) - Constructor for class jminhep.cluster.DataPoint
Creates a new instance of a data point
DataPoint(double[]) - Constructor for class jminhep.cluster.DataPoint
Creates a new instance of a data point
DataPointSet - Class in hep.aida.ref.histogram
Basic user-level interface class for holding and managing a single set of "data points".
DataPointSet(String, String, int) - Constructor for class hep.aida.ref.histogram.DataPointSet
 
DataPointSet(String, String, int, int) - Constructor for class hep.aida.ref.histogram.DataPointSet
 
DataPointSet(String, String, int, String) - Constructor for class hep.aida.ref.histogram.DataPointSet
 
DataPointSet(String, String, int, int, String) - Constructor for class hep.aida.ref.histogram.DataPointSet
 
DataPointSetEvent - Class in hep.aida.ref.event
An event send from a Histogram to AIDAListeners
DataPointSetEvent(IDataPointSet) - Constructor for class hep.aida.ref.event.DataPointSetEvent
 
DataPointSetFactory - Class in hep.aida.ref.histogram
Basic user-level interface for creating a factory of IDataPointSet.
DataPointSetFactory(ITree) - Constructor for class hep.aida.ref.histogram.DataPointSetFactory
Create an IDataPointSetFactory.
DataPointSetFactory() - Constructor for class hep.aida.ref.histogram.DataPointSetFactory
 
DataSource - Class in jhpro.stat
This class serves as input for the Limit.ComputeLimit method.
DataSource() - Constructor for class jhpro.stat.DataSource
Simplest constructor.
DataSource(H1D, H1D, H1D) - Constructor for class jhpro.stat.DataSource
Adds one channel with signal, background and data given as input.
DataSource(P1D, P1D, P1D) - Constructor for class jhpro.stat.DataSource
Adds one channel with signal, background and data given as input.
DataSource(H1D, H1D, H1D, double, double, double, String) - Constructor for class jhpro.stat.DataSource
Another constructor, directly adds one channel with signal, background and data given as input.
DataStatistics - Class in hep.aida.ref.dataset
 
DataStatistics(String[]) - Constructor for class hep.aida.ref.dataset.DataStatistics
Creates a new instance of DataSetStatistics.
DataStatistics(int) - Constructor for class hep.aida.ref.dataset.DataStatistics
Creates a new instance of DataSetStatistics.
DbByteArrayOutputStream - Class in jhplot.io
Extends ByteArrayOutputStream to provide a way of writing the buffer to a DataOutput without re-allocating it.
DbByteArrayOutputStream() - Constructor for class jhplot.io.DbByteArrayOutputStream
 
DbByteArrayOutputStream(int) - Constructor for class jhplot.io.DbByteArrayOutputStream
 
decode(List<T>) - Method in interface org.apache.commons.math.genetics.PermutationChromosome
Permutes the sequence of objects of type T according to the permutation this chromosome represents.
decode(List<T>) - Method in class org.apache.commons.math.genetics.RandomKey
Permutes the sequence of objects of type T according to the permutation this chromosome represents.
DecompositionSolver - Interface in org.apache.commons.math.linear
Interface handling decomposition algorithms that can solve A × X = B.
DEFAULT_ABSOLUTE_ACCURACY - Static variable in class org.apache.commons.math.analysis.solvers.BrentSolver
Default absolute accuracy
DEFAULT_ABSOLUTE_POSITIVITY_THRESHOLD - Static variable in class org.apache.commons.math.linear.CholeskyDecompositionImpl
Default threshold below which diagonal elements are considered null and matrix not positive definite.
DEFAULT_ACCURACY - Static variable in class org.apache.commons.math.analysis.interpolation.LoessInterpolator
Default value for accuracy.
DEFAULT_BANDWIDTH - Static variable in class org.apache.commons.math.analysis.interpolation.LoessInterpolator
Default value of the bandwidth parameter.
DEFAULT_BRIGHTNESS_EXPONENT - Static variable in class org.apache.commons.math.analysis.interpolation.MicrosphereInterpolator
Default exponent used the weights calculation.
DEFAULT_EPSILON - Static variable in class org.apache.commons.math.distribution.PoissonDistributionImpl
Default convergence criterion.
DEFAULT_ESCAPE_CHARACTER - Static variable in class jhplot.io.csv.CSVWriter
The character used for escaping quotes.
DEFAULT_INVERSE_ABSOLUTE_ACCURACY - Static variable in class org.apache.commons.math.distribution.BetaDistributionImpl
Default inverse cumulative probability accuracy
DEFAULT_INVERSE_ABSOLUTE_ACCURACY - Static variable in class org.apache.commons.math.distribution.CauchyDistributionImpl
Default inverse cumulative probability accuracy
DEFAULT_INVERSE_ABSOLUTE_ACCURACY - Static variable in class org.apache.commons.math.distribution.ChiSquaredDistributionImpl
Default inverse cumulative probability accuracy
DEFAULT_INVERSE_ABSOLUTE_ACCURACY - Static variable in class org.apache.commons.math.distribution.ExponentialDistributionImpl
Default inverse cumulative probability accuracy
DEFAULT_INVERSE_ABSOLUTE_ACCURACY - Static variable in class org.apache.commons.math.distribution.FDistributionImpl
Default inverse cumulative probability accuracy
DEFAULT_INVERSE_ABSOLUTE_ACCURACY - Static variable in class org.apache.commons.math.distribution.GammaDistributionImpl
Default inverse cumulative probability accuracy
DEFAULT_INVERSE_ABSOLUTE_ACCURACY - Static variable in class org.apache.commons.math.distribution.NormalDistributionImpl
Default inverse cumulative probability accuracy
DEFAULT_INVERSE_ABSOLUTE_ACCURACY - Static variable in class org.apache.commons.math.distribution.TDistributionImpl
Default inverse cumulative probability accuracy
DEFAULT_INVERSE_ABSOLUTE_ACCURACY - Static variable in class org.apache.commons.math.distribution.WeibullDistributionImpl
Default inverse cumulative probability accuracy
DEFAULT_LINE_END - Static variable in class jhplot.io.csv.CSVWriter
Default line terminator uses platform encoding.
DEFAULT_LS_ABSOLUTE_TOLERANCE - Static variable in class org.apache.commons.math.optimization.direct.PowellOptimizer
Default absolute tolerance for line search (1.0E-11).
DEFAULT_LS_RELATIVE_TOLERANCE - Static variable in class org.apache.commons.math.optimization.direct.PowellOptimizer
Default relative tolerance for line search (1.0E-7).
DEFAULT_MAX_COST_EVALUATIONS - Static variable in class org.apache.commons.math.estimation.AbstractEstimator
Deprecated. Default maximal number of cost evaluations allowed.
DEFAULT_MAX_ITERATIONS - Static variable in class org.apache.commons.math.distribution.PoissonDistributionImpl
Default maximum number of iterations for cumulative probability calculations.
DEFAULT_MAX_ITERATIONS - Static variable in class org.apache.commons.math.optimization.general.AbstractLeastSquaresOptimizer
Default maximal number of iterations allowed.
DEFAULT_MAX_ITERATIONS - Static variable in class org.apache.commons.math.optimization.general.AbstractScalarDifferentiableOptimizer
Default maximal number of iterations allowed.
DEFAULT_MAX_ITERATIONS - Static variable in class org.apache.commons.math.optimization.linear.AbstractLinearOptimizer
Default maximal number of iterations allowed.
DEFAULT_MAXIMUM_ITERATIONS - Static variable in class org.apache.commons.math.analysis.solvers.BrentSolver
Default maximum number of iterations
DEFAULT_MICROSPHERE_ELEMENTS - Static variable in class org.apache.commons.math.analysis.interpolation.MicrosphereInterpolator
Default number of surface elements that composes the microsphere.
DEFAULT_NAN_STRATEGY - Static variable in class org.apache.commons.math.stat.ranking.NaturalRanking
default NaN strategy
DEFAULT_QUOTE_CHARACTER - Static variable in class jhplot.io.csv.CSVReader
The default quote character to use if none is supplied to the constructor.
DEFAULT_QUOTE_CHARACTER - Static variable in class jhplot.io.csv.CSVWriter
The default quote character to use if none is supplied to the constructor.
DEFAULT_RELATIVE_SYMMETRY_THRESHOLD - Static variable in class org.apache.commons.math.linear.CholeskyDecompositionImpl
Default threshold above which off-diagonal elements are considered too different and matrix not symmetric.
DEFAULT_ROBUSTNESS_ITERS - Static variable in class org.apache.commons.math.analysis.interpolation.LoessInterpolator
Default value of the number of robustness iterations.
DEFAULT_SEPARATOR - Static variable in class jhplot.io.csv.CSVReader
The default separator to use if none is supplied to the constructor.
DEFAULT_SEPARATOR - Static variable in class jhplot.io.csv.CSVWriter
The default separator to use if none is supplied to the constructor.
DEFAULT_SKIP_LINES - Static variable in class jhplot.io.csv.CSVReader
The default line to start reading.
DEFAULT_TIES_STRATEGY - Static variable in class org.apache.commons.math.stat.ranking.NaturalRanking
default ties strategy
DEFAULT_ZERO_TOLERANCE - Static variable in class org.apache.commons.math.linear.OpenMapRealVector
Default Tolerance for having a value considered zero.
DefaultBinner - Class in hep.aida.ref.dataset.binner
The default implementation of a Binner.
DefaultBinner(int[], String) - Constructor for class hep.aida.ref.dataset.binner.DefaultBinner
Creates a new instance of Binner.
DefaultFieldMatrixChangingVisitor<T extends FieldElement<T>> - Class in org.apache.commons.math.linear
Default implementation of the FieldMatrixChangingVisitor interface.
DefaultFieldMatrixChangingVisitor(T) - Constructor for class org.apache.commons.math.linear.DefaultFieldMatrixChangingVisitor
Build a new instance.
DefaultFieldMatrixPreservingVisitor<T extends FieldElement<T>> - Class in org.apache.commons.math.linear
Default implementation of the FieldMatrixPreservingVisitor interface.
DefaultFieldMatrixPreservingVisitor(T) - Constructor for class org.apache.commons.math.linear.DefaultFieldMatrixPreservingVisitor
Build a new instance.
defaultFunctions() - Method in class hep.aida.ref.function.FunctionCatalog
 
defaultNames - Static variable in class hep.aida.ref.function.FunctionCatalog
 
DefaultRealMatrixChangingVisitor - Class in org.apache.commons.math.linear
Default implementation of the RealMatrixChangingVisitor interface.
DefaultRealMatrixChangingVisitor() - Constructor for class org.apache.commons.math.linear.DefaultRealMatrixChangingVisitor
 
DefaultRealMatrixPreservingVisitor - Class in org.apache.commons.math.linear
Default implementation of the RealMatrixPreservingVisitor interface.
DefaultRealMatrixPreservingVisitor() - Constructor for class org.apache.commons.math.linear.DefaultRealMatrixPreservingVisitor
 
DefaultTransformer - Class in org.apache.commons.math.util
A Default NumberTransformer for java.lang.Numbers and Numeric Strings.
DefaultTransformer() - Constructor for class org.apache.commons.math.util.DefaultTransformer
 
defaultValue(Value) - Method in class hep.aida.ref.tuple.AbstractTuple.AbstractTupleColumnFactory.BaseTupleColumn
 
defaultValue() - Method in class hep.aida.ref.tuple.AbstractTuple.AbstractTupleColumnFactory.BooleanTupleColumn
 
defaultValue() - Method in class hep.aida.ref.tuple.AbstractTuple.AbstractTupleColumnFactory.ByteTupleColumn
 
defaultValue() - Method in class hep.aida.ref.tuple.AbstractTuple.AbstractTupleColumnFactory.CharTupleColumn
 
defaultValue() - Method in class hep.aida.ref.tuple.AbstractTuple.AbstractTupleColumnFactory.DoubleTupleColumn
 
defaultValue() - Method in class hep.aida.ref.tuple.AbstractTuple.AbstractTupleColumnFactory.FloatTupleColumn
 
defaultValue() - Method in class hep.aida.ref.tuple.AbstractTuple.AbstractTupleColumnFactory.IntTupleColumn
 
defaultValue() - Method in class hep.aida.ref.tuple.AbstractTuple.AbstractTupleColumnFactory.ITupleTupleColumn
 
defaultValue() - Method in class hep.aida.ref.tuple.AbstractTuple.AbstractTupleColumnFactory.LongTupleColumn
 
defaultValue() - Method in class hep.aida.ref.tuple.AbstractTuple.AbstractTupleColumnFactory.ObjectTupleColumn
 
defaultValue() - Method in class hep.aida.ref.tuple.AbstractTuple.AbstractTupleColumnFactory.ShortTupleColumn
 
defaultValue() - Method in class hep.aida.ref.tuple.AbstractTuple.AbstractTupleColumnFactory.StringTupleColumn
 
defaultValue(Value) - Method in interface hep.aida.ref.tuple.FTupleColumn
 
defaultValue(Value) - Method in class hep.aida.ref.tuple.TupleColumn
 
defaultValue(Value) - Method in class hep.aida.ref.tuple.TupleColumn.TupleColumnBoolean
 
defaultValue() - Method in class hep.aida.ref.tuple.TupleColumn.TupleColumnBoolean
 
defaultValue(Value) - Method in class hep.aida.ref.tuple.TupleColumn.TupleColumnByte
 
defaultValue() - Method in class hep.aida.ref.tuple.TupleColumn.TupleColumnByte
 
defaultValue(Value) - Method in class hep.aida.ref.tuple.TupleColumn.TupleColumnChar
 
defaultValue() - Method in class hep.aida.ref.tuple.TupleColumn.TupleColumnChar
 
defaultValue(Value) - Method in class hep.aida.ref.tuple.TupleColumn.TupleColumnDouble
 
defaultValue() - Method in class hep.aida.ref.tuple.TupleColumn.TupleColumnDouble
 
defaultValue(Value) - Method in class hep.aida.ref.tuple.TupleColumn.TupleColumnFloat
 
defaultValue() - Method in class hep.aida.ref.tuple.TupleColumn.TupleColumnFloat
 
defaultValue() - Method in class hep.aida.ref.tuple.TupleColumn.TupleColumnFolder
 
defaultValue(Value) - Method in class hep.aida.ref.tuple.TupleColumn.TupleColumnFolder
 
defaultValue(Value) - Method in class hep.aida.ref.tuple.TupleColumn.TupleColumnInt
 
defaultValue() - Method in class hep.aida.ref.tuple.TupleColumn.TupleColumnInt
 
defaultValue(Value) - Method in class hep.aida.ref.tuple.TupleColumn.TupleColumnLong
 
defaultValue() - Method in class hep.aida.ref.tuple.TupleColumn.TupleColumnLong
 
defaultValue(Value) - Method in class hep.aida.ref.tuple.TupleColumn.TupleColumnObject
 
defaultValue() - Method in class hep.aida.ref.tuple.TupleColumn.TupleColumnObject
 
defaultValue(Value) - Method in class hep.aida.ref.tuple.TupleColumn.TupleColumnShort
 
defaultValue() - Method in class hep.aida.ref.tuple.TupleColumn.TupleColumnShort
 
defaultValue(Value) - Method in class hep.aida.ref.tuple.TupleColumn.TupleColumnString
 
defaultValue() - Method in class hep.aida.ref.tuple.TupleColumn.TupleColumnString
 
defineHistogram(String, int, double, double) - Method in class jhplot.HChart
Define a histogram to fill histogram chart
degree() - Method in class org.apache.commons.math.analysis.polynomials.PolynomialFunction
Returns the degree of the polynomial
degree() - Method in class org.apache.commons.math.analysis.polynomials.PolynomialFunctionLagrangeForm
Returns the degree of the polynomial.
degree() - Method in class org.apache.commons.math.analysis.polynomials.PolynomialFunctionNewtonForm
Returns the degree of the polynomial.
delete(double[], int...) - Static method in class jhplot.math.DoubleArray
Delete a list of elements from an array.
delete(int[], int...) - Static method in class jhplot.math.IntegerArray
 
deleteColumns(double[][], int...) - Static method in class jhplot.math.DoubleArray
Deletes a list of columns from a matrix.
deleteColumns(int[][], int...) - Static method in class jhplot.math.IntegerArray
 
deleteColumnsRange(double[][], int, int) - Static method in class jhplot.math.DoubleArray
Deletes a range of columns from a matrix.
deleteColumnsRange(int[][], int, int) - Static method in class jhplot.math.IntegerArray
 
deleteDir(File) - Static method in class jhplot.v3d.Util
Deletes all files and subdirectories under dir.
deleteObserver(Observer) - Method in class hep.aida.ref.event.ObserverAdapter
 
deleteObservers() - Method in class hep.aida.ref.event.ObserverAdapter
 
deleteRange(double[], int, int) - Static method in class jhplot.math.DoubleArray
Delete a range of elements from an array.
deleteRange(int[], int, int) - Static method in class jhplot.math.IntegerArray
 
deleteRecord(String) - Method in class jhplot.io.BaseRecordsFile
Deletes a record.
deleteRows(double[][], int...) - Static method in class jhplot.math.DoubleArray
Deletes a list of rows from a matrix.
deleteRows(int[][], int...) - Static method in class jhplot.math.IntegerArray
 
deleteRowsRange(double[][], int, int) - Static method in class jhplot.math.DoubleArray
Deletes a range of rows from a matrix.
deleteRowsRange(int[][], int, int) - Static method in class jhplot.math.IntegerArray
 
density(double) - Method in class org.apache.commons.math.distribution.AbstractContinuousDistribution
Return the probability density for a particular point.
density(Double) - Method in interface org.apache.commons.math.distribution.BetaDistribution
Return the probability density for a particular point.
density(Double) - Method in class org.apache.commons.math.distribution.BetaDistributionImpl
Deprecated.  
density(double) - Method in class org.apache.commons.math.distribution.BetaDistributionImpl
Return the probability density for a particular point.
density(double) - Method in class org.apache.commons.math.distribution.CauchyDistributionImpl
Returns the probability density for a particular point.
density(Double) - Method in interface org.apache.commons.math.distribution.ChiSquaredDistribution
Return the probability density for a particular point.
density(Double) - Method in class org.apache.commons.math.distribution.ChiSquaredDistributionImpl
Deprecated.  
density(double) - Method in class org.apache.commons.math.distribution.ChiSquaredDistributionImpl
Return the probability density for a particular point.
density(Double) - Method in interface org.apache.commons.math.distribution.ExponentialDistribution
Return the probability density for a particular point.
density(Double) - Method in class org.apache.commons.math.distribution.ExponentialDistributionImpl
Deprecated. - use density(double)
density(double) - Method in class org.apache.commons.math.distribution.ExponentialDistributionImpl
Return the probability density for a particular point.
density(double) - Method in class org.apache.commons.math.distribution.FDistributionImpl
Returns the probability density for a particular point.
density(Double) - Method in interface org.apache.commons.math.distribution.GammaDistribution
Return the probability density for a particular point.
density(double) - Method in class org.apache.commons.math.distribution.GammaDistributionImpl
Returns the probability density for a particular point.
density(Double) - Method in class org.apache.commons.math.distribution.GammaDistributionImpl
Deprecated.  
density(P) - Method in interface org.apache.commons.math.distribution.HasDensity
Deprecated. Compute the probability density function.
density(Double) - Method in interface org.apache.commons.math.distribution.NormalDistribution
Return the probability density for a particular point.
density(Double) - Method in class org.apache.commons.math.distribution.NormalDistributionImpl
Deprecated.  
density(double) - Method in class org.apache.commons.math.distribution.NormalDistributionImpl
Returns the probability density for a particular point.
density(double) - Method in class org.apache.commons.math.distribution.TDistributionImpl
Returns the probability density for a particular point.
density(double) - Method in class org.apache.commons.math.distribution.WeibullDistributionImpl
Returns the probability density for a particular point.
derivative() - Method in class jhplot.P1D
Calculate derivative for X-Y data points.
derivative() - Method in interface org.apache.commons.math.analysis.DifferentiableUnivariateMatrixFunction
Returns the derivative of the function
derivative() - Method in interface org.apache.commons.math.analysis.DifferentiableUnivariateRealFunction
Returns the derivative of the function
derivative() - Method in interface org.apache.commons.math.analysis.DifferentiableUnivariateVectorialFunction
Returns the derivative of the function
derivative() - Method in class org.apache.commons.math.analysis.polynomials.PolynomialFunction
Returns the derivative as a UnivariateRealFunction
derivative() - Method in class org.apache.commons.math.analysis.polynomials.PolynomialSplineFunction
Returns the derivative of the polynomial spline function as a UnivariateRealFunction
derivative() - Method in class org.apache.commons.math.optimization.fitting.GaussianFunction
Returns the derivative of the function
derivative() - Method in class org.apache.commons.math.optimization.fitting.HarmonicFunction
Returns the derivative of the function
DerivativeException - Exception in org.apache.commons.math.ode
This exception is made available to users to report the error conditions that are triggered while computing the differential equations.
DerivativeException(String, Object...) - Constructor for exception org.apache.commons.math.ode.DerivativeException
Simple constructor.
DerivativeException(Localizable, Object...) - Constructor for exception org.apache.commons.math.ode.DerivativeException
Simple constructor.
DerivativeException(Throwable) - Constructor for exception org.apache.commons.math.ode.DerivativeException
Build an instance from an underlying cause.
description(int) - Method in class hep.aida.ref.dataset.DataStatistics
Get the description corresponding to a coordinate.
DescriptiveStatistics - Class in org.apache.commons.math.stat.descriptive
Maintains a dataset of values of a single variable and computes descriptive statistics based on stored data.
DescriptiveStatistics() - Constructor for class org.apache.commons.math.stat.descriptive.DescriptiveStatistics
Construct a DescriptiveStatistics instance with an infinite window
DescriptiveStatistics(int) - Constructor for class org.apache.commons.math.stat.descriptive.DescriptiveStatistics
Construct a DescriptiveStatistics instance with the specified window
DescriptiveStatistics(double[]) - Constructor for class org.apache.commons.math.stat.descriptive.DescriptiveStatistics
Construct a DescriptiveStatistics instance with an infinite window and the initial data values in double[] initialDoubleArray.
DescriptiveStatistics(DescriptiveStatistics) - Constructor for class org.apache.commons.math.stat.descriptive.DescriptiveStatistics
Copy constructor.
deserializeRealMatrix(Object, String, ObjectInputStream) - Static method in class org.apache.commons.math.linear.MatrixUtils
Deserialize a RealMatrix field in a class.
deserializeRealVector(Object, String, ObjectInputStream) - Static method in class org.apache.commons.math.linear.MatrixUtils
Deserialize a RealVector field in a class.
destroy(IDataPointSet) - Method in class hep.aida.ref.histogram.DataPointSetFactory
 
destroy(IBaseHistogram) - Method in class hep.aida.ref.histogram.HistogramFactory
Destroy an IBaseHistogram ogject.
destroy() - Method in class jhplot.HChart
Remove the canvas frame
destroy() - Method in class jhplot.HGraph
Destroy the canvas frame
destroy() - Method in class jhplot.HPlot3DP
Destroy the canvas frame
destroy() - Method in class jhplot.HView3D
Destroy the canvas frame
det() - Method in class hephysics.vec.Hep3Matrix
Returns the determinent of the matrix.
det(double[][]) - Static method in class jhplot.math.LinearAlgebra
 
det() - Method in class jhplot.math.LUDecomposition
Determinant
Dfp - Class in org.apache.commons.math.dfp
Decimal floating point library for Java
Dfp(Dfp) - Constructor for class org.apache.commons.math.dfp.Dfp
Copy constructor.
DfpDec - Class in org.apache.commons.math.dfp
Subclass of Dfp which hides the radix-10000 artifacts of the superclass.
DfpDec(Dfp) - Constructor for class org.apache.commons.math.dfp.DfpDec
Copy constructor.
DfpField - Class in org.apache.commons.math.dfp
Field for Decimal floating point instances.
DfpField(int) - Constructor for class org.apache.commons.math.dfp.DfpField
Create a factory for the specified number of radix digits.
DfpField.RoundingMode - Enum in org.apache.commons.math.dfp
Enumerate for rounding modes.
DfpMath - Class in org.apache.commons.math.dfp
Mathematical routines for use with Dfp.
diagonal() - Method in class jhplot.bsom.Matrix
If the matrix is a row or column vector, make a diagonal matrix from it.
diagonal(int, double) - Static method in class jhplot.math.DoubleArray
Returns an m x m matrix.
diagonal(double...) - Static method in class jhplot.math.DoubleArray
Returns an m x m matrix.
Diagram - Class in jhplot.jadraw
Main static methods to build objects for Feynman diagrams.
Diagram() - Constructor for class jhplot.jadraw.Diagram
 
diff(String) - Method in class jhplot.FND
differentiate the expression and simplify
DifferentiableMultivariateRealFunction - Interface in org.apache.commons.math.analysis
Extension of MultivariateRealFunction representing a differentiable multivariate real function.
DifferentiableMultivariateRealOptimizer - Interface in org.apache.commons.math.optimization
This interface represents an optimization algorithm for scalar differentiable objective functions.
DifferentiableMultivariateVectorialFunction - Interface in org.apache.commons.math.analysis
Extension of MultivariateVectorialFunction representing a differentiable multivariate vectorial function.
DifferentiableMultivariateVectorialOptimizer - Interface in org.apache.commons.math.optimization
This interface represents an optimization algorithm for vectorial differentiable objective functions.
DifferentiableUnivariateMatrixFunction - Interface in org.apache.commons.math.analysis
Extension of UnivariateMatrixFunction representing a differentiable univariate matrix function.
DifferentiableUnivariateRealFunction - Interface in org.apache.commons.math.analysis
Extension of UnivariateRealFunction representing a differentiable univariate real function.
DifferentiableUnivariateVectorialFunction - Interface in org.apache.commons.math.analysis
Extension of UnivariateVectorialFunction representing a differentiable univariate vectorial function.
differentiate(int, double, double) - Method in class jhplot.F1D
Numerical differentiation.
differentiate(int, F1D, double, double) - Static method in class jhplot.math.Numeric
Numerical differentiation.
differentiate(F1D, double[], double[]) - Static method in class jhplot.math.Numeric
Numerical differentiation in multiple dimensions.
digamma(double) - Static method in class org.apache.commons.math.special.Gamma
Computes the digamma function of x.
DIGEST_MODE - Static variable in class org.apache.commons.math.random.ValueServer
Use empirical distribution.
dimen() - Method in class jhplot.VHolder
Return the dimension of the data
dimension() - Method in class hep.aida.ref.dataset.DataStatistics
Get the dimension of the DataStatistics.
dimension() - Method in class hep.aida.ref.fitter.fitdata.FitData
 
dimension() - Method in class hep.aida.ref.fitter.InternalFitFunction
 
dimension() - Method in class hep.aida.ref.function.AbstractDevModelFunction
 
dimension() - Method in class hep.aida.ref.function.AbstractIFunction
 
dimension() - Method in class hep.aida.ref.function.BaseModelFunction
 
dimension() - Method in class hep.aida.ref.function.ExponentModelFunction
 
dimension() - Method in class hep.aida.ref.function.FunctionCore
 
dimension() - Method in class hep.aida.ref.function.Grid
 
dimension() - Method in class hep.aida.ref.function.PolynomialModelFunction
 
dimension() - Method in class hep.aida.ref.function.SumOfFunctions
 
dimension() - Method in class hep.aida.ref.histogram.AbstractBaseHistogram
Get the dimension of the histogram.
dimension() - Method in class hep.aida.ref.histogram.DataPoint
 
dimension() - Method in class hep.aida.ref.histogram.DataPointSet
 
dimension() - Method in class jhplot.P1D
Returns the dimension of this P1D holder.
DimensionMismatchException - Exception in org.apache.commons.math
Deprecated. in 2.2 (to be removed in 3.0). Please use its equivalent from package org.apache.commons.math.exception.
DimensionMismatchException(int, int) - Constructor for exception org.apache.commons.math.DimensionMismatchException
Deprecated. Construct an exception from the mismatched dimensions
DimensionMismatchException - Exception in org.apache.commons.math.exception
Exception to be thrown when two dimensions differ.
DimensionMismatchException(int, int) - Constructor for exception org.apache.commons.math.exception.DimensionMismatchException
Construct an exception from the mismatched dimensions.
dirac(double[], double[]) - Static method in class jhplot.math.Random
Generate a random number from a discrete random variable.
DirectSearchOptimizer - Class in org.apache.commons.math.optimization.direct
This class implements simplex-based direct search optimization algorithms.
disableDoubleBuffering(Component) - Static method in class jhplot.GHPanel
 
discardFrontElements(int) - Method in class org.apache.commons.math.util.ResizableDoubleArray
Discards the i initial elements of the array.
discardMostRecentElements(int) - Method in class org.apache.commons.math.util.ResizableDoubleArray
Discards the i last elements of the array.
DiscreteDistribution - Class in jhplot.math.num.pdf
Base discrete distribution.
DiscreteDistribution() - Constructor for class jhplot.math.num.pdf.DiscreteDistribution
 
DiscreteDistribution - Interface in org.apache.commons.math.distribution
Base interface for discrete distributions.
DiscreteRandomVariable - Interface in jhplot.math.num.random
A random variable generator for a discrete distribution.
disposeMe() - Method in class jhplot.GHMargin
Dispose this canvas
distance(SpacePoint, SpacePoint) - Static method in class hephysics.vec.SpacePoint
Return the distance between two space points.
distance(DataPoint, DataPoint) - Static method in class jminhep.cluster.DataPoint
Returns the distance between two data points
distance(Rotation, Rotation) - Static method in class org.apache.commons.math.geometry.Rotation
Compute the distance between two rotations.
distance(Vector3D, Vector3D) - Static method in class org.apache.commons.math.geometry.Vector3D
Compute the distance between two vectors according to the L2 norm.
distance(double[], double[]) - Static method in class org.apache.commons.math.util.MathUtils
Calculates the L2 (Euclidean) distance between two points.
distance(int[], int[]) - Static method in class org.apache.commons.math.util.MathUtils
Calculates the L2 (Euclidean) distance between two points.
distance1(Vector3D, Vector3D) - Static method in class org.apache.commons.math.geometry.Vector3D
Compute the distance between two vectors according to the L1 norm.
distance1(double[], double[]) - Static method in class org.apache.commons.math.util.MathUtils
Calculates the L1 (sum of abs) distance between two points.
distance1(int[], int[]) - Static method in class org.apache.commons.math.util.MathUtils
Calculates the L1 (sum of abs) distance between two points.
distanceFrom(T) - Method in interface org.apache.commons.math.stat.clustering.Clusterable
Returns the distance from the given point.
distanceFrom(EuclideanIntegerPoint) - Method in class org.apache.commons.math.stat.clustering.EuclideanIntegerPoint
Returns the distance from the given point.
distanceInf(Vector3D, Vector3D) - Static method in class org.apache.commons.math.geometry.Vector3D
Compute the distance between two vectors according to the L norm.
distanceInf(double[], double[]) - Static method in class org.apache.commons.math.util.MathUtils
Calculates the L (max of abs) distance between two points.
distanceInf(int[], int[]) - Static method in class org.apache.commons.math.util.MathUtils
Calculates the L (max of abs) distance between two points.
distanceSq(Vector3D, Vector3D) - Static method in class org.apache.commons.math.geometry.Vector3D
Compute the square of the distance between two vectors.
distanceSqrt(DataPoint, DataPoint) - Static method in class jminhep.cluster.DataPoint
Returns the squared distance between two data points
Distribution - Interface in jhplot.math.num.pdf
Base statistical distribution.
Distribution - Interface in org.apache.commons.math.distribution
Base interface for probability distributions.
distroy() - Method in class jhplot.HPlot
Remove the canvas frame
distroy() - Method in class jhplot.HPlot2D
Remove the canvas frame
div(Binner1D, Binner1D, Binner1D) - Static method in class hep.aida.ref.histogram.binner.BinnerMath
 
div(Complex) - Method in class jhplot.math.Complex
Division of Complex numbers (doesn't change this Complex number).
div(float) - Method in class jhplot.v3d.Vector3d
 
divide(String, IDataPointSet, IDataPointSet) - Method in class hep.aida.ref.histogram.DataPointSetFactory
 
divide(String, IHistogram1D, IHistogram1D) - Method in class hep.aida.ref.histogram.HistogramFactory
Divides two 1D Histogram
divide(String, IHistogram2D, IHistogram2D) - Method in class hep.aida.ref.histogram.HistogramFactory
Divides two 2D Histogram
divide(String, IHistogram3D, IHistogram3D) - Method in class hep.aida.ref.histogram.HistogramFactory
Divides two 3D Histogram
divide(double) - Method in class jhplot.math.Complex
Returns this complex divided by the specified factor.
divide(double[], double[]) - Static method in class jhplot.math.LinearAlgebra
Element-wise ratio of two arrays.
divide(double[], double) - Static method in class jhplot.math.LinearAlgebra
Divide each element of an array by a scalar.
divide(double[][], double) - Static method in class jhplot.math.LinearAlgebra
Divide each element of a matrix by a scalar
divide(double[][], double[]...) - Static method in class jhplot.math.LinearAlgebra
 
divide(ValueErr, double) - Method in class jhplot.math.ValueErr
Division of this ValueErr number by a ValueErr number.
divide(ValueErr, ValueErr, double) - Static method in class jhplot.math.ValueErr
Division of two ValueErr numbers a/b with correlation
divide(ValueErr) - Method in class jhplot.math.ValueErr
Division of this ValueErr number by a ValueErr number without correlation
divide(ValueErr, ValueErr) - Static method in class jhplot.math.ValueErr
Division of two ValueErr numbers a/b without correlation
divide(double) - Method in class jhplot.math.ValueErr
Division of this ValueErr number by a double
divide(double, ValueErr) - Static method in class jhplot.math.ValueErr
Division of a double, a, by a ValueErr number, b
divide(double, double) - Static method in class jhplot.math.ValueErr
Divide a double number by a double and return quotient as ValueErr
DIVIDE - Static variable in class org.apache.commons.math.analysis.BinaryFunction
Deprecated. The / operator method wrapped as a BinaryFunction.
divide(UnivariateRealFunction) - Method in class org.apache.commons.math.analysis.ComposableFunction
Return a function dividing the instance by another function.
divide(Complex) - Method in class org.apache.commons.math.complex.Complex
Return the quotient of this complex number and the given complex number.
divide(Dfp) - Method in class org.apache.commons.math.dfp.Dfp
Divide this by divisor.
divide(int) - Method in class org.apache.commons.math.dfp.Dfp
Divide by a single digit less than radix.
divide(T) - Method in interface org.apache.commons.math.FieldElement
Compute this ÷ a.
divide(BigInteger) - Method in class org.apache.commons.math.fraction.BigFraction
Divide the value of this fraction by the passed BigInteger, ie "this * 1 / bg", returning the result in reduced form.
divide(int) - Method in class org.apache.commons.math.fraction.BigFraction
Divide the value of this fraction by the passed int, ie "this * 1 / i", returning the result in reduced form.
divide(long) - Method in class org.apache.commons.math.fraction.BigFraction
Divide the value of this fraction by the passed long, ie "this * 1 / l", returning the result in reduced form.
divide(BigFraction) - Method in class org.apache.commons.math.fraction.BigFraction
Divide the value of this fraction by another, returning the result in reduced form.
divide(Fraction) - Method in class org.apache.commons.math.fraction.Fraction
Divide the value of this fraction by another.
divide(int) - Method in class org.apache.commons.math.fraction.Fraction
Divide the fraction by an integer.
divide(BigReal) - Method in class org.apache.commons.math.util.BigReal
Compute this ÷ a.
dividedBy(Matrix) - Method in class jhplot.bsom.Matrix
Matrix division: X\Y.
dividedBy(Matrix, int) - Method in class jhplot.bsom.Matrix
Matrix division with bandwidth: X\Y.
DividedDifferenceInterpolator - Class in org.apache.commons.math.analysis.interpolation
Implements the Divided Difference Algorithm for interpolation of real univariate functions.
DividedDifferenceInterpolator() - Constructor for class org.apache.commons.math.analysis.interpolation.DividedDifferenceInterpolator
 
divideEqual(ValueErr) - Method in class jhplot.math.ValueErr
Division of this ValueErr number by a ValueErr number and replace it by the quotient without correlation
divideEqual(ValueErr, double) - Method in class jhplot.math.ValueErr
Division of this ValueErr number by a ValueErr number and replace this by the quotient
divideEqual(double) - Method in class jhplot.math.ValueErr
Division of this ValueErr number by a double and replace this by the quotient
divideLU(double[][], double[]...) - Static method in class jhplot.math.LinearAlgebra
 
divideQR(double[][], double[]...) - Static method in class jhplot.math.LinearAlgebra
 
doc() - Method in class jhplot.F1D
Show online documentation.
doc() - Method in class jhplot.F2D
Show online documentation.
doc() - Method in class jhplot.F3D
Show online documentation.
doc() - Method in class jhplot.FND
Show online documentation.
doc() - Method in class jhplot.H1D
Show online documentation.
doc() - Method in class jhplot.H2D
Show online documentation.
doc() - Method in class jhplot.H3D
Show online documentation.
doc() - Method in class jhplot.HBayes
 
doc() - Method in class jhplot.HBook
Show online documentation.
doc() - Method in class jhplot.HBsom
Show documentation
doc() - Method in class jhplot.HCellular
Show documentation
doc() - Method in class jhplot.HChart
Show online documentation.
doc() - Method in class jhplot.HCluster
Show online documentation.
doc() - Method in class jhplot.HFit
Show online documentation.
doc() - Method in class jhplot.HFitter
Show online documentation.
doc() - Method in class jhplot.HGraph
Show online documentation.
doc() - Method in class jhplot.HLabel
Show online documentation.
doc() - Method in class jhplot.HLabelEq
Show online documentation.
doc() - Method in class jhplot.HMLabel
Show online documentation.
doc() - Method in class jhplot.HNeuralNet
Show online documentation.
doc() - Method in class jhplot.HPlot
Show online documentation.
doc() - Method in class jhplot.HPlot2D
Show online documentation.
doc() - Method in class jhplot.HPlot3D
Show online documentation.
doc() - Method in class jhplot.HPlot3DP
Show online documentation.
doc() - Method in class jhplot.HPlotJa
Show online documentation.
doc() - Method in class jhplot.HProf1D
Show online documentation.
doc() - Method in class jhplot.HProf2D
Show online documentation.
doc() - Method in class jhplot.HTable
Show online documentation.
doc() - Method in class jhplot.HView3D
Show online documentation.
doc() - Method in class jhplot.IEditor
Show online documentation.
doc() - Method in class jhplot.io.csv.CSVReader
Show online documentation.
doc() - Method in class jhplot.io.csv.CSVWriter
Show online documentation.
doc() - Method in class jhplot.io.FileAida
Show online documentation.
doc() - Method in class jhplot.io.FileRoot
Show online documentation.
doc() - Method in class jhplot.IView
Show online documentation.
doc() - Method in class jhplot.JHPlot
Show online documentation.
doc() - Method in class jhplot.P0D
Show online documentation.
doc() - Method in class jhplot.P0I
Show online documentation.
doc() - Method in class jhplot.P1D
Show online documentation.
doc() - Method in class jhplot.P2D
Show online documentation.
doc() - Method in class jhplot.P3D
Show online documentation.
doc() - Method in class jhplot.PND
Show online documentation.
doc() - Method in class jhplot.PNI
Show online documentation.
doc() - Method in class jhplot.shapes.Arrow
Show online documentation.
doc() - Method in class jhplot.shapes.Circle
Show online documentation.
doc() - Method in class jhplot.shapes.Ellipse
Show online documentation.
doc() - Method in class jhplot.shapes.Line
Show online documentation.
doc() - Method in class jhplot.shapes.Picture
Show online documentation.
doc() - Method in class jhplot.shapes.Rectan
Show online documentation.
doc() - Method in class jhplot.shapes.Text
Show online documentation.
doc() - Method in class jhplot.SHPlot
Show online documentation.
doc() - Method in class jhplot.SHPlot3D
Show online documentation.
doc() - Method in class jhplot.SHPlotJa
Show online documentation.
doc() - Method in class jhplot.SPlot
Show online documentation.
doc() - Method in class jhplot.SPsheet
Show online documentation.
doc() - Method in class jhplot.stat.BunchingParameters
Show online documentation.
doc() - Method in class jhplot.stat.FactorialMoments
Show online documentation.
doc() - Method in class jhplot.stat.LinReg
Show online documentation.
doc() - Method in class jhplot.stat.LinRegWeighted
Show online documentation.
doc() - Method in class jhplot.stat.PCA
Show online documentation.
doc() - Method in class jhplot.stat.Statistics
Show online documentation.
doc() - Method in class jhplot.stat.StatShape
Show online documentation.
doc() - Method in class jhplot.VHolder
Show online documentation.
doc() - Method in class jhpro.stat.CLimits
Show online documentation.
doc() - Method in class jhpro.stat.ConfidenceLevel
Show online documentation.
doc() - Method in class jhpro.stat.EEcentricity
Show online documentation.
doc() - Method in class jhpro.stat.Moments
Show online documentation.
doc() - Method in class jhpro.stat.MomentsFac
Show online documentation.
doc() - Method in class jhpro.stat.MomentsFacNorm
Show online documentation.
doc() - Method in class jhpro.stat.MomentsNorm
Show online documentation.
doOptimize() - Method in class org.apache.commons.math.optimization.general.GaussNewtonOptimizer
Perform the bulk of optimization algorithm.
doOptimize() - Method in class org.apache.commons.math.optimization.linear.SimplexSolver
Perform the bulk of optimization algorithm.
DormandPrince54Integrator - Class in org.apache.commons.math.ode.nonstiff
This class implements the 5(4) Dormand-Prince integrator for Ordinary Differential Equations.
DormandPrince54Integrator(double, double, double, double) - Constructor for class org.apache.commons.math.ode.nonstiff.DormandPrince54Integrator
Simple constructor.
DormandPrince54Integrator(double, double, double[], double[]) - Constructor for class org.apache.commons.math.ode.nonstiff.DormandPrince54Integrator
Simple constructor.
DormandPrince853Integrator - Class in org.apache.commons.math.ode.nonstiff
This class implements the 8(5,3) Dormand-Prince integrator for Ordinary Differential Equations.
DormandPrince853Integrator(double, double, double, double) - Constructor for class org.apache.commons.math.ode.nonstiff.DormandPrince853Integrator
Simple constructor.
DormandPrince853Integrator(double, double, double[], double[]) - Constructor for class org.apache.commons.math.ode.nonstiff.DormandPrince853Integrator
Simple constructor.
dot(Hep3Vector, Hep3Vector) - Method in class hephysics.vec.Hep3Vector
Dot product of 2 vectors
dot(Hep3Vector) - Method in class hephysics.vec.Hep3Vector
Dot operation
dot(HepLorentzVector, HepLorentzVector) - Method in class hephysics.vec.HepLorentzVector
Dot product
dot(Hep3Vector, Hep3Vector) - Static method in class hephysics.vec.VecOp
 
dot(Vector3d) - Method in class jhplot.v3d.Vector3d
 
dotProduct(Vector3D, Vector3D) - Static method in class org.apache.commons.math.geometry.Vector3D
Compute the dot-product of two vectors.
dotProduct(double[]) - Method in class org.apache.commons.math.linear.AbstractRealVector
Compute the dot product.
dotProduct(RealVector) - Method in class org.apache.commons.math.linear.AbstractRealVector
Compute the dot product.
dotProduct(FieldVector<T>) - Method in class org.apache.commons.math.linear.ArrayFieldVector
Compute the dot product.
dotProduct(T[]) - Method in class org.apache.commons.math.linear.ArrayFieldVector
Compute the dot product.
dotProduct(ArrayFieldVector<T>) - Method in class org.apache.commons.math.linear.ArrayFieldVector
Compute the dot product.
dotProduct(RealVector) - Method in class org.apache.commons.math.linear.ArrayRealVector
Compute the dot product.
dotProduct(double[]) - Method in class org.apache.commons.math.linear.ArrayRealVector
Compute the dot product.
dotProduct(ArrayRealVector) - Method in class org.apache.commons.math.linear.ArrayRealVector
Compute the dot product.
dotProduct(FieldVector<T>) - Method in interface org.apache.commons.math.linear.FieldVector
Compute the dot product.
dotProduct(T[]) - Method in interface org.apache.commons.math.linear.FieldVector
Compute the dot product.
dotProduct(OpenMapRealVector) - Method in class org.apache.commons.math.linear.OpenMapRealVector
Optimized method to compute the dot product with an OpenMapRealVector.
dotProduct(RealVector) - Method in class org.apache.commons.math.linear.OpenMapRealVector
Compute the dot product.
dotProduct(RealVector) - Method in interface org.apache.commons.math.linear.RealVector
Compute the dot product.
dotProduct(double[]) - Method in interface org.apache.commons.math.linear.RealVector
Compute the dot product.
dotProduct(FieldVector<T>) - Method in class org.apache.commons.math.linear.SparseFieldVector
Compute the dot product.
dotProduct(T[]) - Method in class org.apache.commons.math.linear.SparseFieldVector
Compute the dot product.
dotrap(int, String, Dfp, Dfp) - Method in class org.apache.commons.math.dfp.Dfp
Raises a trap.
DoubleArray - Class in jhplot.math
A class for dealing with double arrays and matrices.
DoubleArray() - Constructor for class jhplot.math.DoubleArray
 
DoubleArray - Class in jhplot.math.num
An expandable double array.
DoubleArray() - Constructor for class jhplot.math.num.DoubleArray
 
DoubleArray - Interface in org.apache.commons.math.util
Provides a standard interface for double arrays.
doubleValue() - Method in class org.apache.commons.math.fraction.BigFraction
Gets the fraction as a double.
doubleValue() - Method in class org.apache.commons.math.fraction.Fraction
Gets the fraction as a double.
doubleValue() - Method in class org.apache.commons.math.util.BigReal
Get the double value corresponding to the instance.
DOWNSIDE_VARIANCE - Static variable in class org.apache.commons.math.stat.descriptive.moment.SemiVariance
The DOWNSIDE Direction is used to specify that the observations below the cutoff point will be used to calculate SemiVariance
draw(P1D) - Method in class jhplot.HChart
Draw data from a P1D.
draw(HLabel) - Method in class jhplot.HPlot
Draw a label.
draw(HKey) - Method in class jhplot.HPlot
Draw a key.
draw(HLabelEq) - Method in class jhplot.HPlot
Draw a LaTeX rquation on the Canvas.
draw(HShape) - Method in class jhplot.HPlot
Draw a shape primitive to the Canvas.
draw(HMLabel) - Method in class jhplot.HPlot
Draw a multiline label.
draw(H1D[]) - Method in class jhplot.HPlot
Draw array of histograms
draw(Cloud1D) - Method in class jhplot.HPlot
Plot cloud in 1D.
draw(DataPointSet) - Method in class jhplot.HPlot
Plot Aida datapointset.
draw(Cloud2D) - Method in class jhplot.HPlot
Plot cloud 2D
draw(Histogram1D) - Method in class jhplot.HPlot
Draw 1D histogram
draw(H1D) - Method in class jhplot.HPlot
Plot 1D histogram.
draw(F1D[]) - Method in class jhplot.HPlot
Draw array of F1D holders
draw(DataArray, int) - Method in class jhplot.HPlot
Draw input data represented by DataArray
draw(F1D) - Method in class jhplot.HPlot
Draw an one-dimensional function.
draw(FND) - Method in class jhplot.HPlot
Draw an one-dimensional function from FND
draw(F1D, boolean) - Method in class jhplot.HPlot
Draw an one-dimensional function.
draw(FND, boolean) - Method in class jhplot.HPlot
Draw an one-dimensional function from FND.
draw(P1D[]) - Method in class jhplot.HPlot
Draw array of P1D holders
draw(P1D) - Method in class jhplot.HPlot
Draw data in form of P1D
draw(Cloud2D) - Method in class jhplot.HPlot2D
Plot cloud 2D.
draw(Histogram2D) - Method in class jhplot.HPlot2D
Draw 2D histogram
draw(H2D) - Method in class jhplot.HPlot2D
Draw 2D histogram using a style (see setStyle())
draw(P1D) - Method in class jhplot.HPlot2D
Plot P1D data (x-y) as density plot
draw(F2D) - Method in class jhplot.HPlot2D
Plot F2D function (x-y) as density plot
draw(H2D) - Method in class jhplot.HPlot3D
Draw H2D histogram
draw(P2D) - Method in class jhplot.HPlot3D
Display P2D data holder with X,Y,Z values in 3D.
draw(P3D) - Method in class jhplot.HPlot3D
Display P3D data holder with X,Y,Z values in 3D as surface.
draw(H2D, H2D) - Method in class jhplot.HPlot3D
Plot two H2D histograms on the same plot.
draw(F2D) - Method in class jhplot.HPlot3D
Draw F2D function as a surface.
draw(F2D, F2D) - Method in class jhplot.HPlot3D
Draw two F2D functions on the same plot.
draw(H2D, F2D) - Method in class jhplot.HPlot3D
Draw H2D histogram and F2D function on the same plot.
draw(F2D, H2D) - Method in class jhplot.HPlot3D
Draw F2D and H2D on the same plot.
draw(FPR) - Method in class jhplot.HPlot3DP
Draw a parametric function
draw(H1D, int, int) - Method in class jhplot.HPlotJa
Draw H1D histogram on pad X and pad Y
draw(H2D, int, int) - Method in class jhplot.HPlotJa
Draw 2D histogram on pads given by X and Y.
draw(JaObject) - Method in class jhplot.HPlotJa
Draw JaObject.
draw(P1D) - Method in class jhplot.HPlotJa
Draw H2D histogram on the current pad.
draw(H2D) - Method in class jhplot.HPlotJa
Draw H2D histogram on the current pad.
draw(H1D) - Method in class jhplot.HPlotJa
Draw H1D histogram on the current pad.
draw(F1D[]) - Method in class jhplot.HPlotJa
Draw array of F1D holders
draw(Cloud1D) - Method in class jhplot.HPlotJa
Plot cloud in 1D.
draw(Cloud2D) - Method in class jhplot.HPlotJa
Plot cloud 2D
draw(Histogram1D) - Method in class jhplot.HPlotJa
Draw 1D histogram
draw(DataArray, String) - Method in class jhplot.HPlotJa
Draw data represented by DataArray on the current pad.
draw(F1D, int, int) - Method in class jhplot.HPlotJa
Draw an one-dimensional function on the current pad.
draw(FND, int, int) - Method in class jhplot.HPlotJa
Draw an one-dimensional function on the current pad.
draw(F1D) - Method in class jhplot.HPlotJa
Draw an one-dimensional function on the current pad.
draw(FND) - Method in class jhplot.HPlotJa
Draw an one-dimensional function on the current pad.
draw(P1D, int, int) - Method in class jhplot.HPlotJa
Draw P1D object on the pad
draw(P1D[]) - Method in class jhplot.HPlotJa
Draw array of P1D holders
draw(Object3d) - Method in class jhplot.HView3D
Draw an object.
draw(ConstructionObject) - Method in class jhplot.HZirkel
Draw an object on the canvas.
draw(double[][], double[][]) - Method in class jhplot.SPlot
Draw multiple sets as marks (default).
draw(double[], double[]) - Method in class jhplot.SPlot
Draw a single data set as marks (default).
draw(String, double[], double[]) - Method in class jhplot.SPlot
Draw a single data set with a legend.
draw(String, double[], double[], double[]) - Method in class jhplot.SPlot
Draw a single data set with errors on Y with legend.
draw(H1D) - Method in class jhplot.SPlot
Draw H1D histograms
draw(P1D) - Method in class jhplot.SPlot
Draw P1D object.
draw(String[], double[][], double[][]) - Method in class jhplot.SPlot
Set sets of data with legends
drawBox() - Method in class jhplot.HPlot3D
Draw an empty frame
drawData(VectorGraphics) - Method in class jhplot.jadraw.JaAxes
Draw data points
drawHandles(VectorGraphics) - Method in class jhplot.jadraw.JaArcObject
Draws the handles of this JaxoArc.
drawHandles(VectorGraphics) - Method in class jhplot.jadraw.JaAxes
Draws the handles of this box object.
drawHandles(VectorGraphics) - Method in class jhplot.jadraw.JaBlob
Draws a visual aid during the dragging of a blob object, which is a red cross at the center.
drawHandles(VectorGraphics) - Method in class jhplot.jadraw.JaBox
Draws the handles of this box object.
drawHandles(VectorGraphics) - Method in class jhplot.jadraw.JaKey
Draws the handles of this text object.
drawHandles(VectorGraphics) - Method in class jhplot.jadraw.JaLatexText
Draws the handles of this text object.
drawHandles(VectorGraphics) - Method in class jhplot.jadraw.JaLineObject
Draws the handles of this line object.
drawHandles(VectorGraphics) - Method in class jhplot.jadraw.JaLoopObject
Draws the handles of this loop object.
drawHandles(VectorGraphics) - Method in class jhplot.jadraw.JaObject
Draws the handles of this JaObject that allow to move/resize/edit it.
drawHandles(VectorGraphics) - Method in class jhplot.jadraw.JaText
Draws the handles of this text object.
drawHandles(VectorGraphics) - Method in class jhplot.jadraw.JaTextBox
Draws the handles of this box object.
drawHandles(VectorGraphics) - Method in class jhplot.jadraw.JaVertex
Draws the handles of this vertex object.
drawHandles(VectorGraphics) - Method in class jhplot.jadraw.JaVertexT5
Draws the handles of this vertex object.
DrawOptions - Class in jhplot
Main class which sets graphic attributes for all jHPlot classes (histograms and data holders).
DrawOptions() - Constructor for class jhplot.DrawOptions
Sets drawing options
drawStatBox(H1D) - Method in class jhplot.HPlot
Draw a statistical box (mean, RMS, number of entries)
drawStatBox(H1D, int, int) - Method in class jhplot.HPlot
Draw a statistical box (mean, RMS, number of entries) at a specific position.
drawStatBox(H1D, double, double, String) - Method in class jhplot.HPlot
Draw a statistical box (mean, RMS, number of entries) at a specific position.
drawTextBox(String[]) - Method in class jhplot.HPlot
Draw a text box with some information
drawTexVisualAid(VectorGraphics) - Method in class jhplot.jadraw.JaLatexText
Draws a visual aid for a tex label: a blu TeX icon.
drawVisualAid(VectorGraphics) - Method in class jhplot.jadraw.JaArcObject
Draws a visual aid during the dragging of an arc object.
drawVisualAid(VectorGraphics) - Method in class jhplot.jadraw.JaBlob
Draws a visual aid during the dragging of a blob object, which is a red cross at the center.
drawVisualAid(VectorGraphics) - Method in class jhplot.jadraw.JaLoopObject
Draws a visual aid during the dragging of a loop object, which is a red cross at the center.
drawVisualAid(VectorGraphics) - Method in class jhplot.jadraw.JaObject
Draws a visual aid for the user during dragging of certain JaxoObjects.
drawVisualAid(VectorGraphics) - Method in class jhplot.jadraw.JaVertex
Draws a visual aid during the dragging of a vertex object, which is a red cross at the center.
drawVisualAid(VectorGraphics) - Method in class jhplot.jadraw.JaVertexT5
Draws a visual aid during the dragging of a vertex object, which is a red cross at the center.
DummyLocalizable - Class in org.apache.commons.math.exception.util
Dummy implementation of the Localizable interface, without localization.
DummyLocalizable(String) - Constructor for class org.apache.commons.math.exception.util.DummyLocalizable
Simple constructor.
DummyStepHandler - Class in org.apache.commons.math.ode.sampling
This class is a step handler that does nothing.
DummyStepInterpolator - Class in org.apache.commons.math.ode.sampling
This class is a step interpolator that does nothing.
DummyStepInterpolator() - Constructor for class org.apache.commons.math.ode.sampling.DummyStepInterpolator
Simple constructor.
DummyStepInterpolator(double[], double[], boolean) - Constructor for class org.apache.commons.math.ode.sampling.DummyStepInterpolator
Simple constructor.
DummyStepInterpolator(DummyStepInterpolator) - Constructor for class org.apache.commons.math.ode.sampling.DummyStepInterpolator
Copy constructor.
DuplicateSampleAbscissaException - Exception in org.apache.commons.math
Exception thrown when a sample contains several entries at the same abscissa.
DuplicateSampleAbscissaException(double, int, int) - Constructor for exception org.apache.commons.math.DuplicateSampleAbscissaException
Construct an exception indicating the duplicate abscissa.

E

e(int, int) - Method in class hephysics.vec.Hep3Matrix
Returns the (row, column) element
e() - Method in class hephysics.vec.HepLorentzVector
Get energy
E - Static variable in class org.apache.commons.math.util.FastMath
Napier's constant e, base of the natural logarithm.
ebeDivide(double[]) - Method in class org.apache.commons.math.linear.AbstractRealVector
Element-by-element division.
ebeDivide(FieldVector<T>) - Method in class org.apache.commons.math.linear.ArrayFieldVector
Element-by-element division.
ebeDivide(T[]) - Method in class org.apache.commons.math.linear.ArrayFieldVector
Element-by-element division.
ebeDivide(ArrayFieldVector<T>) - Method in class org.apache.commons.math.linear.ArrayFieldVector
Element-by-element division.
ebeDivide(RealVector) - Method in class org.apache.commons.math.linear.ArrayRealVector
Element-by-element division.
ebeDivide(double[]) - Method in class org.apache.commons.math.linear.ArrayRealVector
Element-by-element division.
ebeDivide(ArrayRealVector) - Method in class org.apache.commons.math.linear.ArrayRealVector
Element-by-element division.
ebeDivide(FieldVector<T>) - Method in interface org.apache.commons.math.linear.FieldVector
Element-by-element division.
ebeDivide(T[]) - Method in interface org.apache.commons.math.linear.FieldVector
Element-by-element division.
ebeDivide(RealVector) - Method in class org.apache.commons.math.linear.OpenMapRealVector
Element-by-element division.
ebeDivide(double[]) - Method in class org.apache.commons.math.linear.OpenMapRealVector
Element-by-element division.
ebeDivide(RealVector) - Method in interface org.apache.commons.math.linear.RealVector
Element-by-element division.
ebeDivide(double[]) - Method in interface org.apache.commons.math.linear.RealVector
Element-by-element division.
ebeDivide(FieldVector<T>) - Method in class org.apache.commons.math.linear.SparseFieldVector
Element-by-element division.
ebeDivide(T[]) - Method in class org.apache.commons.math.linear.SparseFieldVector
Element-by-element division.
ebeMultiply(double[]) - Method in class org.apache.commons.math.linear.AbstractRealVector
Element-by-element multiplication.
ebeMultiply(FieldVector<T>) - Method in class org.apache.commons.math.linear.ArrayFieldVector
Element-by-element multiplication.
ebeMultiply(T[]) - Method in class org.apache.commons.math.linear.ArrayFieldVector
Element-by-element multiplication.
ebeMultiply(ArrayFieldVector<T>) - Method in class org.apache.commons.math.linear.ArrayFieldVector
Element-by-element multiplication.
ebeMultiply(RealVector) - Method in class org.apache.commons.math.linear.ArrayRealVector
Element-by-element multiplication.
ebeMultiply(double[]) - Method in class org.apache.commons.math.linear.ArrayRealVector
Element-by-element multiplication.
ebeMultiply(ArrayRealVector) - Method in class org.apache.commons.math.linear.ArrayRealVector
Element-by-element multiplication.
ebeMultiply(FieldVector<T>) - Method in interface org.apache.commons.math.linear.FieldVector
Element-by-element multiplication.
ebeMultiply(T[]) - Method in interface org.apache.commons.math.linear.FieldVector
Element-by-element multiplication.
ebeMultiply(RealVector) - Method in class org.apache.commons.math.linear.OpenMapRealVector
Element-by-element multiplication.
ebeMultiply(double[]) - Method in class org.apache.commons.math.linear.OpenMapRealVector
Element-by-element multiplication.
ebeMultiply(RealVector) - Method in interface org.apache.commons.math.linear.RealVector
Element-by-element multiplication.
ebeMultiply(double[]) - Method in interface org.apache.commons.math.linear.RealVector
Element-by-element multiplication.
ebeMultiply(FieldVector<T>) - Method in class org.apache.commons.math.linear.SparseFieldVector
Element-by-element multiplication.
ebeMultiply(T[]) - Method in class org.apache.commons.math.linear.SparseFieldVector
Element-by-element multiplication.
editData() - Method in class jhplot.HNeuralNet
Edit data
editNetwork() - Method in class jhplot.HNeuralNet
Edit a neural net in a frame
Editor3d - Class in jhplot.v3d
 
Editor3d(Canvas3d, Model3d) - Constructor for class jhplot.v3d.Editor3d
 
editPanel() - Method in class jhplot.jadraw.JaArcObject
Brings up the edit panel that allows to change the parameters of this object.
editPanel() - Method in class jhplot.jadraw.JaAxes
Brings up the edit panel that allows to change the parameters of this object.
editPanel() - Method in class jhplot.jadraw.JaBlob
Brings up the edit panel that allows to change the parameters of this object.
editPanel() - Method in class jhplot.jadraw.JaBox
Brings up the edit panel that allows to change the parameters of this object.
editPanel() - Method in class jhplot.jadraw.JaFLine
Brings up the edit panel that allows to change the parameters of this object.
editPanel() - Method in class jhplot.jadraw.JaGLine
Brings up the edit panel that allows to change the parameters of this object.
editPanel() - Method in class jhplot.jadraw.JaGlLine
Brings up the edit panel that allows to change the parameters of this object.
editPanel() - Method in class jhplot.jadraw.JaKey
Brings up the edit panel that allows to change the parameters of this object.
editPanel() - Method in class jhplot.jadraw.JaLatexText
Brings up the edit panel that allows to change the parameters of this object.
editPanel() - Method in class jhplot.jadraw.JaLine
Brings up the edit panel that allows to change the parameters of this object.
editPanel() - Method in class jhplot.jadraw.JaLoopObject
Brings up the edit panel that allows to change the parameters of this object.
editPanel() - Method in class jhplot.jadraw.JaObject
Brings up the edit panel that allows to change the parameters of this object.
editPanel() - Method in class jhplot.jadraw.JaPLine
Brings up the edit panel that allows to change the parameters of this object.
editPanel() - Method in class jhplot.jadraw.JaSLine
Brings up the edit panel that allows to change the parameters of this object.
editPanel() - Method in class jhplot.jadraw.JaText
Brings up the edit panel that allows to change the parameters of this object.
editPanel() - Method in class jhplot.jadraw.JaTextBox
Brings up the edit panel that allows to change the parameters of this object.
editPanel() - Method in class jhplot.jadraw.JaVertex
Brings up the edit panel that allows to change the parameters of this object.
editPanel() - Method in class jhplot.jadraw.JaVertexT1
Brings up the edit panel that allows to change the parameters of this object.
editPanel() - Method in class jhplot.jadraw.JaVertexT2
Brings up the edit panel that allows to change the parameters of this object.
editPanel() - Method in class jhplot.jadraw.JaVertexT3
Brings up the edit panel that allows to change the parameters of this object.
editPanel() - Method in class jhplot.jadraw.JaVertexT4
Brings up the edit panel that allows to change the parameters of this object.
editPanel() - Method in class jhplot.jadraw.JaVertexT5
Brings up the edit panel that allows to change the parameters of this object.
editPanel() - Method in class jhplot.jadraw.JaVertexT6
Brings up the edit panel that allows to change the parameters of this object.
editPanel() - Method in class jhplot.jadraw.JaZigZagLine
Brings up the edit panel that allows to change the parameters of this object.
EEcentricity - Class in jhpro.stat
A class for accentricity calculations using a principle component analysis.
EEcentricity(double[], double[], double[]) - Constructor for class jhpro.stat.EEcentricity
Initialize 2D PCA analysis
EEcentricity(P1D) - Constructor for class jhpro.stat.EEcentricity
Perform PCA analysis using P1D object (in 2D).
EfficiencyBinError - Class in hep.aida.ref.dataset.binner
Calculates the bin error for efficiency-type histograms
EfficiencyBinError() - Constructor for class hep.aida.ref.dataset.binner.EfficiencyBinError
 
EfficiencyBinner - Class in hep.aida.ref.dataset.binner
This binner is for efficiency-type of data.
EfficiencyBinner(int[], String) - Constructor for class hep.aida.ref.dataset.binner.EfficiencyBinner
Creates a new instance of Binner.
EfficiencyBinner1D - Class in hep.aida.ref.histogram.binner
 
EfficiencyBinner1D(int) - Constructor for class hep.aida.ref.histogram.binner.EfficiencyBinner1D
Creates a new instance of EfficiencyBinner1D.
EfficiencyBinner1D(Binner1D) - Constructor for class hep.aida.ref.histogram.binner.EfficiencyBinner1D
 
EfficiencyBinner2D - Class in hep.aida.ref.histogram.binner
 
EfficiencyBinner2D(int, int) - Constructor for class hep.aida.ref.histogram.binner.EfficiencyBinner2D
Creates a new instance of EfficiencyBinner1D.
EfficiencyBinner3D - Class in hep.aida.ref.histogram.binner
 
EfficiencyBinner3D(int, int, int) - Constructor for class hep.aida.ref.histogram.binner.EfficiencyBinner3D
Creates a new instance of EfficiencyBinner1D.
EfficiencyBinnerUtils - Class in hep.aida.ref.histogram.binner
 
EfficiencyBinnerUtils() - Constructor for class hep.aida.ref.histogram.binner.EfficiencyBinnerUtils
 
EFile - Class in jhplot.io
Write data structures in sequential order into ntuples using Google's Prototype Buffer.
EFile(String, String) - Constructor for class jhplot.io.EFile
Open a file to write/read objects to/from a file in sequential order.
EFile(String) - Constructor for class jhplot.io.EFile
Open file for reading objects from a serialized file in sequential order.
eigen(double[][]) - Static method in class jhplot.math.LinearAlgebra
 
EigenDecomposition - Interface in org.apache.commons.math.linear
An interface to classes that implement an algorithm to calculate the eigen decomposition of a real matrix.
EigenDecompositionImpl - Class in org.apache.commons.math.linear
Calculates the eigen decomposition of a real symmetric matrix.
EigenDecompositionImpl(RealMatrix, double) - Constructor for class org.apache.commons.math.linear.EigenDecompositionImpl
Calculates the eigen decomposition of the given symmetric matrix.
EigenDecompositionImpl(double[], double[], double) - Constructor for class org.apache.commons.math.linear.EigenDecompositionImpl
Calculates the eigen decomposition of the symmetric tridiagonal matrix.
eigenvalues(double, int) - Method in class jhplot.bsom.Matrix
Make a row vector including the eigenvalues of the matrix.
ElitisticListPopulation - Class in org.apache.commons.math.genetics
Population of chromosomes which uses elitism (certain percentace of the best chromosomes is directly copied to the next generation).
ElitisticListPopulation(List<Chromosome>, int, double) - Constructor for class org.apache.commons.math.genetics.ElitisticListPopulation
Creates a new ElitisticListPopulation instance.
ElitisticListPopulation(int, double) - Constructor for class org.apache.commons.math.genetics.ElitisticListPopulation
Creates a new ListPopulation instance and initializes its inner chromosome list.
Ellipse - Class in jhplot.shapes
Draw an ellipse in the USER coordinate system
Ellipse(double, double, double, double, Stroke, Color) - Constructor for class jhplot.shapes.Ellipse
Create an ellipse
Ellipse(double, double, double, double) - Constructor for class jhplot.shapes.Ellipse
Create an ellipse using the default stroke and the color
ELLIPSE - Static variable in class jhplot.shapes.HShape
 
EmbeddedRungeKuttaIntegrator - Class in org.apache.commons.math.ode.nonstiff
This class implements the common part of all embedded Runge-Kutta integrators for Ordinary Differential Equations.
EmpiricalDistribution - Interface in org.apache.commons.math.random
Represents an empirical probability distribution -- a probability distribution derived from observed data without making any assumptions about the functional form of the population distribution that the data come from.
EmpiricalDistributionImpl - Class in org.apache.commons.math.random
Implements EmpiricalDistribution interface.
EmpiricalDistributionImpl() - Constructor for class org.apache.commons.math.random.EmpiricalDistributionImpl
Creates a new EmpiricalDistribution with the default bin count.
EmpiricalDistributionImpl(int) - Constructor for class org.apache.commons.math.random.EmpiricalDistributionImpl
Creates a new EmpiricalDistribution with the specified bin count.
enableDoubleBuffering(Component) - Static method in class jhplot.GHPanel
 
end() - Method in class org.apache.commons.math.linear.DefaultFieldMatrixChangingVisitor
End visiting a matrix.
end() - Method in class org.apache.commons.math.linear.DefaultFieldMatrixPreservingVisitor
End visiting a matrix.
end() - Method in class org.apache.commons.math.linear.DefaultRealMatrixChangingVisitor
End visiting a matrix.
end() - Method in class org.apache.commons.math.linear.DefaultRealMatrixPreservingVisitor
End visiting a matrix.
end() - Method in interface org.apache.commons.math.linear.FieldMatrixChangingVisitor
End visiting a matrix.
end() - Method in interface org.apache.commons.math.linear.FieldMatrixPreservingVisitor
End visiting a matrix.
end() - Method in interface org.apache.commons.math.linear.RealMatrixChangingVisitor
End visiting a matrix.
end() - Method in interface org.apache.commons.math.linear.RealMatrixPreservingVisitor
End visiting a matrix.
engineName() - Method in class hep.aida.ref.fitter.FitResult
 
engineName() - Method in class hep.aida.ref.fitter.Fitter
 
ensureDirectory(File, File) - Static method in class jhplot.v3d.Util
Ensures the existence of the directory specified by the parameter.
ensureFilePath(File, File) - Static method in class jhplot.v3d.Util
Ensures the existence of the directory which may be part of the path specification of parameter file.
entries(int[]) - Method in interface hep.aida.ref.dataset.binner.Binner
Get the number of entries in a bin.
entries(int[]) - Method in class hep.aida.ref.dataset.binner.DefaultBinner
Get the number of entries in a bin.
entries() - Method in class hep.aida.ref.dataset.DataStatistics
Get the number of entries in this data set
entries() - Method in class hep.aida.ref.fitter.fitdata.FitDataIterator
 
entries() - Method in class hep.aida.ref.histogram.AbstractBaseHistogram
Number of in-range entries in the histogram.
entries(int) - Method in class hep.aida.ref.histogram.binner.AbstractBinner1D
 
entries(int, int) - Method in class hep.aida.ref.histogram.binner.BasicBinner2D
 
entries(int, int, int) - Method in class hep.aida.ref.histogram.binner.BasicBinner3D
 
entries(int) - Method in interface hep.aida.ref.histogram.binner.Binner1D
 
entries(int, int) - Method in interface hep.aida.ref.histogram.binner.Binner2D
 
entries(int, int, int) - Method in interface hep.aida.ref.histogram.binner.Binner3D
 
entries(int, int) - Method in class hep.aida.ref.histogram.binner.EfficiencyBinner2D
 
entries(int, int, int) - Method in class hep.aida.ref.histogram.binner.EfficiencyBinner3D
 
entries() - Method in class hep.aida.ref.histogram.Cloud1D
Get the Cloud's entries.
entries() - Method in class hep.aida.ref.histogram.Cloud2D
Get the Cloud's entries.
entries() - Method in class hep.aida.ref.histogram.Cloud3D
Get the Cloud's entries.
entries() - Method in class hep.aida.ref.histogram.Histogram
Get the entries that are within the range of the Histogram; i.e.
entries() - Method in class hep.aida.ref.histogram.Profile1D
 
entries() - Method in class hep.aida.ref.histogram.Profile2D
 
entries() - Method in class jhplot.H1D
Number of in-range entries in the histogram
entries() - Method in class jhplot.H2D
Number of in-range entries in the histogram
entries() - Method in class jhplot.HProf1D
Number of in-range entries in the histogram
entries() - Method in class jhplot.HProf2D
Number of in-range entries in the histogram
entriesToString() - Method in class jhplot.io.EFile
Get a string representing file content.
entriesToString() - Method in class jhplot.io.PFile
Get a string representing file content.
enumerateKeys() - Method in class jhplot.io.BaseRecordsFile
Returns an Enumeration of the keys of all records in the database.
enumerateKeys() - Method in class jhplot.io.RecordsFile
Returns an enumeration of all the keys in the database.
epsilon - Static variable in class jhplot.math.Slicing
 
EPSILON - Static variable in class org.apache.commons.math.util.MathUtils
Smallest positive number such that 1 - EPSILON is not numerically equal to 1.
equals(Object) - Method in class hep.aida.ref.histogram.FixedAxis
Check if two Axis are equal.
equals(Object) - Method in class hep.aida.ref.histogram.VariableAxis
Check if two Axis are equal.
equals(Object) - Method in class hephysics.vec.Hep3Vector
 
equals(Object) - Method in class hephysics.vec.HepLorentzVector
Compre 2 vectors
equals(SpacePoint, double) - Method in class hephysics.vec.SpacePoint
Tests for equality within errors
equals(Hep3Vector, double) - Method in class hephysics.vec.SpacePoint
Tests for equality within errors
equals(SpacePoint) - Method in class hephysics.vec.SpacePoint
Tests for equality
equals(int[], int[]) - Static method in class jhplot.math.ArrayMathUtils
Deprecated. Use java.util.Arrays instead.
equals(Vector3d) - Method in class jhplot.v3d.Vector3d
 
equals(Object) - Method in class org.apache.commons.math.analysis.polynomials.PolynomialFunction
equals(Object) - Method in class org.apache.commons.math.complex.Complex
Test for the equality of two Complex objects.
equals(Object) - Method in class org.apache.commons.math.dfp.Dfp
Check if instance is equal to x.
equals(Object) - Method in class org.apache.commons.math.fraction.BigFraction
Test for the equality of two fractions.
equals(Object) - Method in class org.apache.commons.math.fraction.Fraction
Test for the equality of two fractions.
equals(Object) - Method in class org.apache.commons.math.geometry.Vector3D
Test for the equality of two 3D vectors.
equals(Object) - Method in class org.apache.commons.math.linear.AbstractFieldMatrix
Returns true iff object is a FieldMatrix instance with the same dimensions as this and all corresponding matrix entries are equal.
equals(Object) - Method in class org.apache.commons.math.linear.AbstractRealMatrix
Returns true iff object is a RealMatrix instance with the same dimensions as this and all corresponding matrix entries are equal.
equals(Object) - Method in class org.apache.commons.math.linear.ArrayFieldVector
Test for the equality of two real vectors.
equals(Object) - Method in class org.apache.commons.math.linear.ArrayRealVector
Test for the equality of two real vectors.
equals(Object) - Method in class org.apache.commons.math.linear.BigMatrixImpl
Deprecated. Returns true iff object is a BigMatrixImpl instance with the same dimensions as this and all corresponding matrix entries are equal.
equals(Object) - Method in class org.apache.commons.math.linear.OpenMapRealVector
Implementation Note: This performs an exact comparison, and as a result it is possible for a.subtract(b} to be the zero vector, while a.equals(b) == false.
equals(Object) - Method in class org.apache.commons.math.linear.SparseFieldVector
equals(Object) - Method in class org.apache.commons.math.optimization.linear.LinearConstraint
equals(Object) - Method in class org.apache.commons.math.optimization.linear.LinearObjectiveFunction
equals(Object) - Method in class org.apache.commons.math.stat.clustering.EuclideanIntegerPoint
equals(Object) - Method in class org.apache.commons.math.stat.descriptive.AbstractStorelessUnivariateStatistic
Returns true iff object is an AbstractStorelessUnivariateStatistic returning the same values as this for getResult() and getN()
equals(Object) - Method in class org.apache.commons.math.stat.descriptive.moment.VectorialCovariance
equals(Object) - Method in class org.apache.commons.math.stat.descriptive.moment.VectorialMean
equals(Object) - Method in class org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics
Returns true iff object is a MultivariateSummaryStatistics instance and all statistics have the same values as this.
equals(Object) - Method in class org.apache.commons.math.stat.descriptive.StatisticalSummaryValues
Returns true iff object is a StatisticalSummaryValues instance and all statistics have the same values as this.
equals(Object) - Method in class org.apache.commons.math.stat.descriptive.SummaryStatistics
Returns true iff object is a SummaryStatistics instance and all statistics have the same values as this.
equals(Object) - Method in class org.apache.commons.math.stat.descriptive.SynchronizedMultivariateSummaryStatistics
Returns true iff object is a MultivariateSummaryStatistics instance and all statistics have the same values as this.
equals(Object) - Method in class org.apache.commons.math.stat.descriptive.SynchronizedSummaryStatistics
Returns true iff object is a SummaryStatistics instance and all statistics have the same values as this.
equals(Object) - Method in class org.apache.commons.math.stat.Frequency
equals(Object) - Method in class org.apache.commons.math.util.BigReal
equals(Object) - Method in class org.apache.commons.math.util.DefaultTransformer
equals(float, float) - Static method in class org.apache.commons.math.util.MathUtils
Deprecated. as of 2.2 his method considers that NaN == NaN. In release 3.0, the semantics will change in order to comply with IEEE754 where it is specified that NaN != NaN. New methods have been added for those cases wher the old semantics is useful (see e.g. equalsIncludingNaN.
equals(float, float, float) - Static method in class org.apache.commons.math.util.MathUtils
Returns true if both arguments are equal or within the range of allowed error (inclusive).
equals(float, float, int) - Static method in class org.apache.commons.math.util.MathUtils
Returns true if both arguments are equal or within the range of allowed error (inclusive).
equals(float[], float[]) - Static method in class org.apache.commons.math.util.MathUtils
Deprecated. as of 2.2 this method considers that NaN == NaN. In release 3.0, the semantics will change in order to comply with IEEE754 where it is specified that NaN != NaN. New methods have been added for those cases where the old semantics is useful (see e.g. equalsIncludingNaN.
equals(double, double) - Static method in class org.apache.commons.math.util.MathUtils
Returns true iff both arguments are NaN or neither is NaN and they are equal
equals(double, double, double) - Static method in class org.apache.commons.math.util.MathUtils
Returns true if both arguments are equal or within the range of allowed error (inclusive).
equals(double, double, int) - Static method in class org.apache.commons.math.util.MathUtils
Returns true if both arguments are equal or within the range of allowed error (inclusive).
equals(double[], double[]) - Static method in class org.apache.commons.math.util.MathUtils
Returns true iff both arguments are null or have same dimensions and all their elements are equal as defined by MathUtils.equals(double,double).
equals(Object) - Method in class org.apache.commons.math.util.ResizableDoubleArray
Returns true iff object is a ResizableDoubleArray with the same properties as this and an identical internal storage array.
equals(Object) - Method in class org.apache.commons.math.util.TransformerMap
equalsIncludingNaN(float, float) - Static method in class org.apache.commons.math.util.MathUtils
Returns true if both arguments are NaN or neither is NaN and they are equal as defined by equals(x, y, 1).
equalsIncludingNaN(float, float, float) - Static method in class org.apache.commons.math.util.MathUtils
Returns true if both arguments are NaN or are equal or within the range of allowed error (inclusive).
equalsIncludingNaN(float, float, int) - Static method in class org.apache.commons.math.util.MathUtils
Returns true if both arguments are NaN or if they are equal as defined by equals(x, y, maxUlps).
equalsIncludingNaN(float[], float[]) - Static method in class org.apache.commons.math.util.MathUtils
Returns true iff both arguments are null or have same dimensions and all their elements are equal as defined by MathUtils.equalsIncludingNaN(float,float).
equalsIncludingNaN(double, double) - Static method in class org.apache.commons.math.util.MathUtils
Returns true if both arguments are NaN or neither is NaN and they are equal as defined by equals(x, y, 1).
equalsIncludingNaN(double, double, double) - Static method in class org.apache.commons.math.util.MathUtils
Returns true if both arguments are NaN or are equal or within the range of allowed error (inclusive).
equalsIncludingNaN(double, double, int) - Static method in class org.apache.commons.math.util.MathUtils
Returns true if both arguments are NaN or if they are equal as defined by equals(x, y, maxUlps.
equalsIncludingNaN(double[], double[]) - Static method in class org.apache.commons.math.util.MathUtils
Returns true iff both arguments are null or have same dimensions and all their elements are equal as defined by MathUtils.equalsIncludingNaN(double,double).
equivalentBinEntries() - Method in class hep.aida.ref.histogram.Histogram
Get the number of equivalent entries; i.e.
equivalentEntries() - Method in class hep.aida.ref.dataset.DataStatistics
Get the equivalent entries for this data set.
erasePoint(int, int) - Method in class jhplot.SPlot
Erase the point at the given index in the given dataset.
Erf - Class in jhplot.math.num.special
Utility class that provides methods related to the error function.
erf(double) - Static method in class jhplot.math.num.special.Erf
Returns the error function erf(x) (1).
Erf - Class in org.apache.commons.math.special
This is a utility class that provides computation methods related to the error functions.
erf(double) - Static method in class org.apache.commons.math.special.Erf
Returns the error function
erfc(double) - Static method in class jhplot.math.num.special.Erf
Returns the complementary error function erfc(x) (1).
erfc(double) - Static method in class org.apache.commons.math.special.Erf
Returns the complementary error function
ERR_SCALE - Static variable in class org.apache.commons.math.dfp.Dfp
The amount under/overflows are scaled by before going to trap handler
error() - Method in class hep.aida.ref.fitter.fitdata.FitDataIterator
 
errorMinus() - Method in class hep.aida.ref.histogram.Measurement
 
errorPlus() - Method in class hep.aida.ref.histogram.Measurement
 
errors() - Method in class hep.aida.ref.fitter.FitResult
 
errorsMinus() - Method in class hep.aida.ref.fitter.FitResult
 
errorsPlus() - Method in class hep.aida.ref.fitter.FitResult
 
estimate(EstimationProblem) - Method in class org.apache.commons.math.estimation.AbstractEstimator
Deprecated. Solve an estimation problem.
estimate(EstimationProblem) - Method in interface org.apache.commons.math.estimation.Estimator
Deprecated. Solve an estimation problem.
estimate(EstimationProblem) - Method in class org.apache.commons.math.estimation.GaussNewtonEstimator
Deprecated. Solve an estimation problem using a least squares criterion.
estimate(EstimationProblem) - Method in class org.apache.commons.math.estimation.LevenbergMarquardtEstimator
Deprecated. Solve an estimation problem using the Levenberg-Marquardt algorithm.
EstimatedParameter - Class in org.apache.commons.math.estimation
Deprecated. as of 2.0, everything in package org.apache.commons.math.estimation has been deprecated and replaced by package org.apache.commons.math.optimization.general
EstimatedParameter(String, double) - Constructor for class org.apache.commons.math.estimation.EstimatedParameter
Deprecated. Simple constructor.
EstimatedParameter(String, double, boolean) - Constructor for class org.apache.commons.math.estimation.EstimatedParameter
Deprecated. Simple constructor.
EstimatedParameter(EstimatedParameter) - Constructor for class org.apache.commons.math.estimation.EstimatedParameter
Deprecated. Copy constructor.
estimateErrorVariance() - Method in class org.apache.commons.math.stat.regression.AbstractMultipleLinearRegression
Estimates the variance of the error.
estimateRegressandVariance() - Method in class org.apache.commons.math.stat.regression.AbstractMultipleLinearRegression
Returns the variance of the regressand, ie Var(y).
estimateRegressandVariance() - Method in interface org.apache.commons.math.stat.regression.MultipleLinearRegression
Returns the variance of the regressand, ie Var(y).
estimateRegressionParameters() - Method in class org.apache.commons.math.stat.regression.AbstractMultipleLinearRegression
Estimates the regression parameters b.
estimateRegressionParameters() - Method in interface org.apache.commons.math.stat.regression.MultipleLinearRegression
Estimates the regression parameters b.
estimateRegressionParametersStandardErrors() - Method in class org.apache.commons.math.stat.regression.AbstractMultipleLinearRegression
Returns the standard errors of the regression parameters.
estimateRegressionParametersStandardErrors() - Method in interface org.apache.commons.math.stat.regression.MultipleLinearRegression
Returns the standard errors of the regression parameters.
estimateRegressionParametersVariance() - Method in class org.apache.commons.math.stat.regression.AbstractMultipleLinearRegression
Estimates the variance of the regression parameters, ie Var(b).
estimateRegressionParametersVariance() - Method in interface org.apache.commons.math.stat.regression.MultipleLinearRegression
Estimates the variance of the regression parameters, ie Var(b).
estimateRegressionStandardError() - Method in class org.apache.commons.math.stat.regression.AbstractMultipleLinearRegression
Estimates the standard error of the regression.
estimateResiduals() - Method in class org.apache.commons.math.stat.regression.AbstractMultipleLinearRegression
Estimates the residuals, ie u = y - X*b.
estimateResiduals() - Method in interface org.apache.commons.math.stat.regression.MultipleLinearRegression
Estimates the residuals, ie u = y - X*b.
EstimationException - Exception in org.apache.commons.math.estimation
Deprecated. as of 2.0, everything in package org.apache.commons.math.estimation has been deprecated and replaced by package org.apache.commons.math.optimization.general
EstimationException(String, Object...) - Constructor for exception org.apache.commons.math.estimation.EstimationException
Deprecated. Simple constructor.
EstimationException(Localizable, Object...) - Constructor for exception org.apache.commons.math.estimation.EstimationException
Deprecated. Simple constructor.
EstimationProblem - Interface in org.apache.commons.math.estimation
Deprecated. as of 2.0, everything in package org.apache.commons.math.estimation has been deprecated and replaced by package org.apache.commons.math.optimization.general
Estimator - Interface in org.apache.commons.math.estimation
Deprecated. as of 2.0, everything in package org.apache.commons.math.estimation has been deprecated and replaced by package org.apache.commons.math.optimization.general
et() - Method in class hephysics.vec.HepLorentzVector
Transverse energy.
et2() - Method in class hephysics.vec.HepLorentzVector
Transverse energy squared.
EuclideanIntegerPoint - Class in org.apache.commons.math.stat.clustering
A simple implementation of Clusterable for points with integer coordinates.
EuclideanIntegerPoint(int[]) - Constructor for class org.apache.commons.math.stat.clustering.EuclideanIntegerPoint
Build an instance wrapping an integer array.
euler(double[], F1D, double) - Static method in class jhplot.math.Numeric
Uses the Euler method to solve an ODE.
EulerIntegrator - Class in org.apache.commons.math.ode.nonstiff
This class implements a simple Euler integrator for Ordinary Differential Equations.
EulerIntegrator(double) - Constructor for class org.apache.commons.math.ode.nonstiff.EulerIntegrator
Simple constructor.
eval(double) - Method in class jhplot.F1D
Evaluate a function at a specific point in x
eval(double[]) - Method in class jhplot.F1D
Evaluate a function for an array of x-values
eval(double, double) - Method in class jhplot.F1D
Evaluate a function for graphic representation.
eval(double, double, int) - Method in class jhplot.F1D
Evaluate a function for graphic representation.
eval() - Method in class jhplot.F1D
Evaluate a function for graphic representation.
eval(double, double) - Method in class jhplot.F2D
Evaluate a function at a specific point in (x,y)
eval(double[], double[]) - Method in class jhplot.F2D
Evaluate a function for an array of x-values
eval(double, double, double) - Method in class jhplot.F3D
Evaluate a function at a specific point in (x,y,z)
eval(String) - Method in class jhplot.FND
Evaluate a function at a specific point in x
eval(String, double, double, String) - Method in class jhplot.FND
Evaluate a function at a specific point for one single variable.
eval(String, double, double) - Method in class jhplot.FND
Evaluate a function at a specific point for one single variable.
eval() - Method in class jhplot.stat.BunchingParameters
Evaluate bunching parameters at the end of the run
eval() - Method in class jhplot.stat.FactorialMoments
Evaluate factorial moments at the end of the run
eval(float) - Method in class jhplot.stat.Interpolator.Cubic
Evaluate cubic function
eval() - Method in class jhplot.stat.PCA
 
evaluate(IDevFitDataIterator, IFunction) - Method in class hep.aida.ref.fitter.fitmethod.AbstractFitMethod
 
evaluate(IDevFitDataIterator, IFunction) - Method in class hep.aida.ref.fitter.fitmethod.ChiSquaredFitMethod
 
evaluate(double[], double[]) - Method in class hep.aida.ref.function.JELCompiledExpression
 
evaluate(double) - Method in class jhplot.math.num.ContinuedFraction
Evaluate this continued fraction at the given value.
evaluate(double) - Method in interface jhplot.math.num.Function
Evaluate this function, f, at the domain value x.
evaluate(double) - Method in class jhplot.math.num.PowerSeries
Evaluate this series at the given value.
evaluate(double) - Method in class jhplot.math.num.Series
Evaluate this series at the given value.
evaluate(double[], double[], double) - Static method in class org.apache.commons.math.analysis.polynomials.PolynomialFunctionLagrangeForm
Evaluate the Lagrange polynomial using Neville's Algorithm.
evaluate(double[], double[], double) - Static method in class org.apache.commons.math.analysis.polynomials.PolynomialFunctionNewtonForm
Evaluate the Newton polynomial using nested multiplication.
evaluate(double[]) - Method in class org.apache.commons.math.stat.descriptive.AbstractStorelessUnivariateStatistic
This default implementation calls AbstractStorelessUnivariateStatistic.clear(), then invokes AbstractStorelessUnivariateStatistic.increment(double) in a loop over the the input array, and then uses AbstractStorelessUnivariateStatistic.getResult() to compute the return value.
evaluate(double[], int, int) - Method in class org.apache.commons.math.stat.descriptive.AbstractStorelessUnivariateStatistic
This default implementation calls AbstractStorelessUnivariateStatistic.clear(), then invokes AbstractStorelessUnivariateStatistic.increment(double) in a loop over the specified portion of the input array, and then uses AbstractStorelessUnivariateStatistic.getResult() to compute the return value.
evaluate() - Method in class org.apache.commons.math.stat.descriptive.AbstractUnivariateStatistic
Returns the result of evaluating the statistic over the stored data.
evaluate(double[]) - Method in class org.apache.commons.math.stat.descriptive.AbstractUnivariateStatistic
Returns the result of evaluating the statistic over the input array.
evaluate(double[], int, int) - Method in class org.apache.commons.math.stat.descriptive.AbstractUnivariateStatistic
Returns the result of evaluating the statistic over the specified entries in the input array.
evaluate(double[], int, int) - Method in class org.apache.commons.math.stat.descriptive.moment.GeometricMean
Returns the geometric mean of the entries in the specified portion of the input array.
evaluate(double[], int, int) - Method in class org.apache.commons.math.stat.descriptive.moment.Kurtosis
Returns the kurtosis of the entries in the specified portion of the input array.
evaluate(double[], int, int) - Method in class org.apache.commons.math.stat.descriptive.moment.Mean
Returns the arithmetic mean of the entries in the specified portion of the input array, or Double.NaN if the designated subarray is empty.
evaluate(double[], double[], int, int) - Method in class org.apache.commons.math.stat.descriptive.moment.Mean
Returns the weighted arithmetic mean of the entries in the specified portion of the input array, or Double.NaN if the designated subarray is empty.
evaluate(double[], double[]) - Method in class org.apache.commons.math.stat.descriptive.moment.Mean
Returns the weighted arithmetic mean of the entries in the input array.
evaluate(double[]) - Method in class org.apache.commons.math.stat.descriptive.moment.SemiVariance
This method calculates SemiVariance for the entire array against the mean, using instance properties varianceDirection and biasCorrection.
evaluate(double[], int, int) - Method in class org.apache.commons.math.stat.descriptive.moment.SemiVariance
Returns the SemiVariance of the designated values against the mean, using instance properties varianceDirection and biasCorrection.
evaluate(double[], SemiVariance.Direction) - Method in class org.apache.commons.math.stat.descriptive.moment.SemiVariance
This method calculates SemiVariance for the entire array against the mean, using the current value of the biasCorrection instance property.
evaluate(double[], double) - Method in class org.apache.commons.math.stat.descriptive.moment.SemiVariance
Returns the SemiVariance of the designated values against the cutoff, using instance properties variancDirection and biasCorrection.
evaluate(double[], double, SemiVariance.Direction) - Method in class org.apache.commons.math.stat.descriptive.moment.SemiVariance
Returns the SemiVariance of the designated values against the cutoff in the given direction, using the current value of the biasCorrection instance property.
evaluate(double[], double, SemiVariance.Direction, boolean, int, int) - Method in class org.apache.commons.math.stat.descriptive.moment.SemiVariance
Returns the SemiVariance of the designated values against the cutoff in the given direction with the provided bias correction.
evaluate(double[], int, int) - Method in class org.apache.commons.math.stat.descriptive.moment.Skewness
Returns the Skewness of the entries in the specifed portion of the input array.
evaluate(double[]) - Method in class org.apache.commons.math.stat.descriptive.moment.StandardDeviation
Returns the Standard Deviation of the entries in the input array, or Double.NaN if the array is empty.
evaluate(double[], int, int) - Method in class org.apache.commons.math.stat.descriptive.moment.StandardDeviation
Returns the Standard Deviation of the entries in the specified portion of the input array, or Double.NaN if the designated subarray is empty.
evaluate(double[], double, int, int) - Method in class org.apache.commons.math.stat.descriptive.moment.StandardDeviation
Returns the Standard Deviation of the entries in the specified portion of the input array, using the precomputed mean value.
evaluate(double[], double) - Method in class org.apache.commons.math.stat.descriptive.moment.StandardDeviation
Returns the Standard Deviation of the entries in the input array, using the precomputed mean value.
evaluate(double[]) - Method in class org.apache.commons.math.stat.descriptive.moment.Variance
Returns the variance of the entries in the input array, or Double.NaN if the array is empty.
evaluate(double[], int, int) - Method in class org.apache.commons.math.stat.descriptive.moment.Variance
Returns the variance of the entries in the specified portion of the input array, or Double.NaN if the designated subarray is empty.
evaluate(double[], double[], int, int) - Method in class org.apache.commons.math.stat.descriptive.moment.Variance
Returns the weighted variance of the entries in the specified portion of the input array, or Double.NaN if the designated subarray is empty.
evaluate(double[], double[]) - Method in class org.apache.commons.math.stat.descriptive.moment.Variance
Returns the weighted variance of the entries in the the input array.
evaluate(double[], double, int, int) - Method in class org.apache.commons.math.stat.descriptive.moment.Variance
Returns the variance of the entries in the specified portion of the input array, using the precomputed mean value.
evaluate(double[], double) - Method in class org.apache.commons.math.stat.descriptive.moment.Variance
Returns the variance of the entries in the input array, using the precomputed mean value.
evaluate(double[], double[], double, int, int) - Method in class org.apache.commons.math.stat.descriptive.moment.Variance
Returns the weighted variance of the entries in the specified portion of the input array, using the precomputed weighted mean value.
evaluate(double[], double[], double) - Method in class org.apache.commons.math.stat.descriptive.moment.Variance
Returns the weighted variance of the values in the input array, using the precomputed weighted mean value.
evaluate(double[], int, int) - Method in class org.apache.commons.math.stat.descriptive.rank.Max
Returns the maximum of the entries in the specified portion of the input array, or Double.NaN if the designated subarray is empty.
evaluate(double[], int, int) - Method in class org.apache.commons.math.stat.descriptive.rank.Min
Returns the minimum of the entries in the specified portion of the input array, or Double.NaN if the designated subarray is empty.
evaluate(double) - Method in class org.apache.commons.math.stat.descriptive.rank.Percentile
Returns the result of evaluating the statistic over the stored data.
evaluate(double[], double) - Method in class org.apache.commons.math.stat.descriptive.rank.Percentile
Returns an estimate of the pth percentile of the values in the values array.
evaluate(double[], int, int) - Method in class org.apache.commons.math.stat.descriptive.rank.Percentile
Returns an estimate of the quantileth percentile of the designated values in the values array.
evaluate(double[], int, int, double) - Method in class org.apache.commons.math.stat.descriptive.rank.Percentile
Returns an estimate of the pth percentile of the values in the values array, starting with the element in (0-based) position begin in the array and including length values.
evaluate(double[], int, int) - Method in class org.apache.commons.math.stat.descriptive.summary.Product
Returns the product of the entries in the specified portion of the input array, or Double.NaN if the designated subarray is empty.
evaluate(double[], double[], int, int) - Method in class org.apache.commons.math.stat.descriptive.summary.Product
Returns the weighted product of the entries in the specified portion of the input array, or Double.NaN if the designated subarray is empty.
evaluate(double[], double[]) - Method in class org.apache.commons.math.stat.descriptive.summary.Product
Returns the weighted product of the entries in the input array.
evaluate(double[], int, int) - Method in class org.apache.commons.math.stat.descriptive.summary.Sum
The sum of the entries in the specified portion of the input array, or Double.NaN if the designated subarray is empty.
evaluate(double[], double[], int, int) - Method in class org.apache.commons.math.stat.descriptive.summary.Sum
The weighted sum of the entries in the specified portion of the input array, or Double.NaN if the designated subarray is empty.
evaluate(double[], double[]) - Method in class org.apache.commons.math.stat.descriptive.summary.Sum
The weighted sum of the entries in the the input array.
evaluate(double[], int, int) - Method in class org.apache.commons.math.stat.descriptive.summary.SumOfLogs
Returns the sum of the natural logs of the entries in the specified portion of the input array, or Double.NaN if the designated subarray is empty.
evaluate(double[], int, int) - Method in class org.apache.commons.math.stat.descriptive.summary.SumOfSquares
Returns the sum of the squares of the entries in the specified portion of the input array, or Double.NaN if the designated subarray is empty.
evaluate(double[]) - Method in interface org.apache.commons.math.stat.descriptive.UnivariateStatistic
Returns the result of evaluating the statistic over the input array.
evaluate(double[], int, int) - Method in interface org.apache.commons.math.stat.descriptive.UnivariateStatistic
Returns the result of evaluating the statistic over the specified entries in the input array.
evaluate(double[], double[]) - Method in interface org.apache.commons.math.stat.descriptive.WeightedEvaluation
Returns the result of evaluating the statistic over the input array, using the supplied weights.
evaluate(double[], double[], int, int) - Method in interface org.apache.commons.math.stat.descriptive.WeightedEvaluation
Returns the result of evaluating the statistic over the specified entries in the input array, using corresponding entries in the supplied weights array.
evaluate(double) - Method in class org.apache.commons.math.util.ContinuedFraction
Evaluates the continued fraction at the value x.
evaluate(double, double) - Method in class org.apache.commons.math.util.ContinuedFraction
Evaluates the continued fraction at the value x.
evaluate(double, int) - Method in class org.apache.commons.math.util.ContinuedFraction
Evaluates the continued fraction at the value x.
evaluate(double, double, int) - Method in class org.apache.commons.math.util.ContinuedFraction
Evaluates the continued fraction at the value x.
evaluateDouble() - Method in class hep.aida.ref.tuple.Evaluator
 
evaluateGradient(int, IDevFitDataIterator, IFunction) - Method in class hep.aida.ref.fitter.fitmethod.AbstractFitMethod
 
evaluateGradient(int, IDevFitDataIterator, IFunction) - Method in class hep.aida.ref.fitter.fitmethod.ChiSquaredFitMethod
 
evaluateGradientSumElement(IDevFitDataIterator, IFunction) - Method in class hep.aida.ref.fitter.fitmethod.BinnedMaximumLikelihoodFitMethod
 
evaluateGradientSumElement(IDevFitDataIterator, IFunction) - Method in class hep.aida.ref.fitter.fitmethod.ChiSquaredFitMethod
 
evaluateGradientSumElement(IDevFitDataIterator, IFunction) - Method in class hep.aida.ref.fitter.fitmethod.CleverChiSquaredFitMethod
 
evaluateGradientSumElement(IDevFitDataIterator, IFunction) - Method in class hep.aida.ref.fitter.fitmethod.LeastSquaresFitMethod
 
evaluateGradientSumElement(IDevFitDataIterator, IFunction) - Method in class hep.aida.ref.fitter.fitmethod.UnbinnedMaximumLikelihoodFitMethod
 
evaluateMax(IEvaluator) - Method in class hep.aida.ref.tuple.AbstractTuple
 
evaluateMax(IEvaluator, IFilter) - Method in class hep.aida.ref.tuple.AbstractTuple
 
evaluateMin(IEvaluator) - Method in class hep.aida.ref.tuple.AbstractTuple
 
evaluateMin(IEvaluator, IFilter) - Method in class hep.aida.ref.tuple.AbstractTuple
 
evaluateStep(StepInterpolator) - Method in class org.apache.commons.math.ode.events.CombinedEventsManager
Deprecated. Evaluate the impact of the proposed step on all managed event handlers.
evaluateStep(StepInterpolator) - Method in class org.apache.commons.math.ode.events.EventState
Evaluate the impact of the proposed step on the event handler.
evaluateSumElement(IDevFitDataIterator, IFunction) - Method in class hep.aida.ref.fitter.fitmethod.BinnedMaximumLikelihoodFitMethod
 
evaluateSumElement(IDevFitDataIterator, IFunction) - Method in class hep.aida.ref.fitter.fitmethod.ChiSquaredFitMethod
 
evaluateSumElement(IDevFitDataIterator, IFunction) - Method in class hep.aida.ref.fitter.fitmethod.CleverChiSquaredFitMethod
 
evaluateSumElement(IDevFitDataIterator, IFunction) - Method in class hep.aida.ref.fitter.fitmethod.LeastSquaresFitMethod
 
evaluateSumElement(IDevFitDataIterator, IFunction) - Method in class hep.aida.ref.fitter.fitmethod.UnbinnedMaximumLikelihoodFitMethod
 
Evaluator - Class in hep.aida.ref.tuple
 
Evaluator(String) - Constructor for class hep.aida.ref.tuple.Evaluator
Default contructor.
EventException - Exception in org.apache.commons.math.ode.events
This exception is made available to users to report the error conditions that are triggered by EventHandler
EventException(String, Object...) - Constructor for exception org.apache.commons.math.ode.events.EventException
Deprecated. as of 2.2 replaced by EventException.EventException(Localizable, Object...)
EventException(Localizable, Object...) - Constructor for exception org.apache.commons.math.ode.events.EventException
Simple constructor.
EventException(Throwable) - Constructor for exception org.apache.commons.math.ode.events.EventException
Create an exception with a given root cause.
EventHandler - Interface in org.apache.commons.math.ode.events
This interface represents a handler for discrete events triggered during ODE integration.
EventHandlerWithJacobians - Interface in org.apache.commons.math.ode.jacobians
Deprecated. as of 2.2 the complete package is deprecated, it will be replaced in 3.0 by a completely rewritten implementation
eventId() - Method in class hep.aida.ref.function.FunctionChangedEvent
 
eventOccurred(double, double[], boolean) - Method in interface org.apache.commons.math.ode.events.EventHandler
Handle an event and choose what to do next.
eventOccurred(double, double[], double[][], double[][], boolean) - Method in interface org.apache.commons.math.ode.jacobians.EventHandlerWithJacobians
Deprecated. Handle an event and choose what to do next.
EventState - Class in org.apache.commons.math.ode.events
This class handles the state for one event handler during integration steps.
EventState(EventHandler, double, double, int) - Constructor for class org.apache.commons.math.ode.events.EventState
Simple constructor.
evolve(Population, StoppingCondition) - Method in class org.apache.commons.math.genetics.GeneticAlgorithm
Evolve the given population.
exclude(double, double) - Method in class hep.aida.ref.function.RangeSet
 
excludeAll() - Method in class hep.aida.ref.function.RangeSet
Set empty range in all axes.
excludeNormalizationAll(int) - Method in class hep.aida.ref.function.AbstractDevModelFunction
 
excludeNormalizationAll() - Method in class hep.aida.ref.function.AbstractDevModelFunction
 
excludeNormalizationAll() - Method in class hep.aida.ref.function.AbstractIFunction
 
excludeNormalizationAll() - Method in class hep.aida.ref.function.BaseModelFunction
 
excludeNormalizationRange(double, double, int) - Method in class hep.aida.ref.function.AbstractDevModelFunction
 
exit() - Method in class jhplot.HZirkel
 
exp() - Method in class jhplot.math.Complex
Complex exponential (doesn't change this Complex number).
exp(ValueErr) - Static method in class jhplot.math.ValueErr
Get exponential function
EXP - Static variable in class org.apache.commons.math.analysis.ComposableFunction
The FastMath.exp method wrapped as a ComposableFunction.
exp() - Method in class org.apache.commons.math.complex.Complex
Compute the exponential function of this complex number.
exp(Dfp) - Static method in class org.apache.commons.math.dfp.DfpMath
Computes e to the given power.
exp(double) - Static method in class org.apache.commons.math.util.FastMath
Exponential function.
ExpData - Class in jhpro.stat.limit
Build experiment.
ExpData() - Constructor for class jhpro.stat.limit.ExpData
Simple constructor
ExpData(int, double, double) - Constructor for class jhpro.stat.limit.ExpData
Build an experiment
ExpData(int, double, double, double, double) - Constructor for class jhpro.stat.limit.ExpData
Build an experimental data
EXPM1 - Static variable in class org.apache.commons.math.analysis.ComposableFunction
The FastMath.expm1 method wrapped as a ComposableFunction.
expm1(double) - Static method in class org.apache.commons.math.util.FastMath
Compute exp(x) - 1
Exponent - Class in jhplot.fit
Exponential distribution.
Exponent() - Constructor for class jhplot.fit.Exponent
 
Exponent(String) - Constructor for class jhplot.fit.Exponent
 
Exponent(String[], String[]) - Constructor for class jhplot.fit.Exponent
 
Exponent - Static variable in class jhplot.HPlotJa
 
Exponential - Class in jhplot.math.num.pdf
The Exponential distribution (1).
Exponential() - Constructor for class jhplot.math.num.pdf.Exponential
Default constructor.
Exponential(double) - Constructor for class jhplot.math.num.pdf.Exponential
Create a distribution with the given mean.
exponential(double) - Static method in class jhplot.math.Random
Generate a random number from an exponantial random variable (Mean = 1/lambda, variance = 1/lambda^2).
EXPONENTIAL_MODE - Static variable in class org.apache.commons.math.random.ValueServer
Exponential random deviates with mean = μ.
ExponentialCoreNorm - Class in hep.aida.ref.function
Normalised Exponential (E) distribution in the form: f = (1/N)*exp((x-origin)/exponent)) has 2 parameters, Normalization Amplitude N is calculated by the "normalizationAmplitude" method
ExponentialCoreNorm(String) - Constructor for class hep.aida.ref.function.ExponentialCoreNorm
 
ExponentialCoreNorm(String, double[]) - Constructor for class hep.aida.ref.function.ExponentialCoreNorm
 
ExponentialCoreNotNorm - Class in hep.aida.ref.function
Not normalised Exponential (E) distribution in the form: f = amplitude*exp((x-origin)/exponent) has 3 parameters
ExponentialCoreNotNorm(String) - Constructor for class hep.aida.ref.function.ExponentialCoreNotNorm
 
ExponentialCoreNotNorm(String, double[]) - Constructor for class hep.aida.ref.function.ExponentialCoreNotNorm
 
ExponentialDistribution - Interface in org.apache.commons.math.distribution
The Exponential Distribution.
ExponentialDistributionImpl - Class in org.apache.commons.math.distribution
The default implementation of ExponentialDistribution.
ExponentialDistributionImpl(double) - Constructor for class org.apache.commons.math.distribution.ExponentialDistributionImpl
Create a exponential distribution with the given mean.
ExponentialDistributionImpl(double, double) - Constructor for class org.apache.commons.math.distribution.ExponentialDistributionImpl
Create a exponential distribution with the given mean.
ExponentialRandomVariable - Class in jhplot.math.num.random
A random variable generator for the Exponential distribution.
ExponentialRandomVariable() - Constructor for class jhplot.math.num.random.ExponentialRandomVariable
Default constructor.
ExponentialRandomVariable(double) - Constructor for class jhplot.math.num.random.ExponentialRandomVariable
Create a random variable with the given mean.
ExponentialRandomVariable(double, RNG) - Constructor for class jhplot.math.num.random.ExponentialRandomVariable
Create a random variable with the given parameters.
ExponentModelFunction - Class in hep.aida.ref.function
 
ExponentModelFunction(String) - Constructor for class hep.aida.ref.function.ExponentModelFunction
 
export(String) - Method in class jhplot.GHPanel
Fast export of the canvas to an image file (depends on the extension, i.e.
export(String) - Method in class jhplot.HPlotJa
Fast export of the canvas to an image file (depends on the extension, i.e.
export(String) - Method in class jhplot.HZirkel
Export image to a file.
export(String) - Method in class jhplot.SPlot
Fast export of the canvas to an image file (depends on the extension, i.e.
exportDialog(String) - Method in class jhplot.GHPanel
Export a GHFrame image to an external file: The file extension is very important: *.png - make PNG figure *.eps - make EPS figure *.ps - make PS figure *.jpg - make JPG figure *.pdf - make PDF figure *.SVG - make SVG figure *.EMF - make EMF figure, It will open some dialog in case if the file exists
exportImage() - Method in class jhplot.GHPanel
Exports the image to some graphic format.
expression() - Method in class hep.aida.ref.fitter.fitdata.RangeSetFilter
 
expression() - Method in class hep.aida.ref.tuple.Evaluator
 
expression() - Method in class hep.aida.ref.tuple.Filter
 
ExtendedFirstOrderDifferentialEquations - Interface in org.apache.commons.math.ode
This interface represents a first order differential equations set with a main set of equations and an extension set.
extract(int, int, double[]) - Static method in class jhplot.math.ArrayMathUtils
Extracts a sub-array (will invert the resulting array if k0 > k1).
extract(int, int, int[]) - Static method in class jhplot.math.ArrayMathUtils
Extracts a sub-array (will invert the resulting array if k0 > k1).
extraEntries() - Method in class hep.aida.ref.histogram.Histogram
Get the number of entries in the underflow and overflow bins.
extraEntries() - Method in class hep.aida.ref.histogram.Histogram1D
Get the number of entries in the underflow and overflow bins.
extraEntries() - Method in class hep.aida.ref.histogram.Histogram2D
Get the number of entries in the underflow and overflow bins.
extraEntries() - Method in class hep.aida.ref.histogram.Histogram3D
Get the number of entries in the underflow and overflow bins.
extraEntries() - Method in class hep.aida.ref.histogram.Profile1D
 
extraEntries() - Method in class hep.aida.ref.histogram.Profile2D
 
extraEntries() - Method in class jhplot.H1D
Number of under and overflow entries in the histogram.
extraEntries() - Method in class jhplot.H2D
Get the number of entries in the underflow and overflow bins.
extraEntries() - Method in class jhplot.HProf1D
Number of under and overflow entries in the histogram.
extraEntries() - Method in class jhplot.HProf2D
Get the number of entries in the underflow and overflow bins.

F

f(double[][], Function) - Static method in class jhplot.math.DoubleArray
Apply a scalar function to every element of an array.
f(double[], Function) - Static method in class jhplot.math.DoubleArray
Apply a scalar function to every element of an array.
f(double) - Method in interface jhplot.math.Function
 
F1D - Class in jhplot
Create a function in 1D.
F1D(String, double, double) - Constructor for class jhplot.F1D
Create a function in 1D.
F1D(String, double, double, boolean) - Constructor for class jhplot.F1D
Same function, but one can specify is it parsed or not.
F1D(String) - Constructor for class jhplot.F1D
Create a function in 1D for evaluation.
F1D(String, String) - Constructor for class jhplot.F1D
Create new function.
F1D(String, String, double, double, boolean) - Constructor for class jhplot.F1D
Create a new function.
F1D(String, double[], double, double, boolean) - Constructor for class jhplot.F1D
Create a polynomial analytical function using a list of values.
F1D(String, boolean) - Constructor for class jhplot.F1D
Build a function
F1D(String, ParseFunction, double, double) - Constructor for class jhplot.F1D
Create a function in 1D.
F1D(ParseFunction, double, double) - Constructor for class jhplot.F1D
Build a function.
F1D(String, String, double, double) - Constructor for class jhplot.F1D
Create a function in 1D.
F1D(IFunction, double, double) - Constructor for class jhplot.F1D
Create a F1D function from JAIDA IFunction.
F1D(IFunction) - Constructor for class jhplot.F1D
Create a F1D function from JAIDA IFunction.
F1D(String, IFunction, double, double) - Constructor for class jhplot.F1D
Create F1D function from JAIDA IFunction.
F2D - Class in jhplot
Create 2D function.
F2D(String) - Constructor for class jhplot.F2D
Create a function in 2D for evaluation.
F2D(String, String, double, double, double, double) - Constructor for class jhplot.F2D
Create a function in 2D.
F2D(String, double, double, double, double) - Constructor for class jhplot.F2D
Build a 2D function.
F2D(String, IFunction, double, double, double, double) - Constructor for class jhplot.F2D
Create a F2D function from JAIDA IFunction.
F2D(IFunction) - Constructor for class jhplot.F2D
Create a F2D function from JAIDA IFunction.
F2D(IFunction, double, double, double, double) - Constructor for class jhplot.F2D
Create a F2D function from JAIDA IFunction.
F3D - Class in jhplot
Create 3D function.
F3D(String) - Constructor for class jhplot.F3D
Create a function in 3D for evaluation.
F3D(String, String, double, double, double, double, double, double) - Constructor for class jhplot.F3D
Create a function in 3D.
F3D(String, double, double, double, double, double, double) - Constructor for class jhplot.F3D
Build a 3D function.
F3D(String, String, IFunction, double, double, double, double, double, double) - Constructor for class jhplot.F3D
Create a function in 3D from a AIDA IFunction.
F3D(String, IFunction, double, double, double, double, double, double) - Constructor for class jhplot.F3D
 
F3D(IFunction, double, double, double, double, double, double) - Constructor for class jhplot.F3D
Create a function in 3D from a AIDA IFunction.
factorial(int) - Static method in class org.apache.commons.math.util.MathUtils
Returns n!.
factorialDouble(int) - Static method in class org.apache.commons.math.util.MathUtils
Returns n!.
factorialLog(int) - Static method in class org.apache.commons.math.util.MathUtils
Returns the natural logarithm of n!.
FactorialMoments - Class in jhplot.stat
**************************************************************************** Calculations of normalized factorial moments characterizing local multiplicity fluctuations inside a restricted phase space.
FactorialMoments(int, int, int, double, double) - Constructor for class jhplot.stat.FactorialMoments
Initialize factorial-moment calculations.
factories() - Method in class jhplot.HPlot
Create various JAIDA factories: IAnalysisFactory, ITree, IFitFactory, IFunctionFactory
factories() - Method in class jhplot.HPlotJa
Create various JAIDA factories: IAnalysisFactory, ITree, IFitFactory, IFunctionFactory
FalsePositionRootFinder - Class in jhplot.math.num.root
The false position method (1) for finding roots of functions.
FalsePositionRootFinder(Function) - Constructor for class jhplot.math.num.root.FalsePositionRootFinder
Create a root finder for the given function.
FalsePositionRootFinder(Function, int, double) - Constructor for class jhplot.math.num.root.FalsePositionRootFinder
Create a root finder for the given function.
FArc(float, float, float, float, float, float) - Static method in class jhplot.jadraw.Diagram
 
FastCosineTransformer - Class in org.apache.commons.math.transform
Implements the Fast Cosine Transform for transformation of one-dimensional data sets.
FastCosineTransformer() - Constructor for class org.apache.commons.math.transform.FastCosineTransformer
Construct a default transformer.
FastFourierTransformer - Class in org.apache.commons.math.transform
Implements the Fast Fourier Transform for transformation of one-dimensional data sets.
FastFourierTransformer() - Constructor for class org.apache.commons.math.transform.FastFourierTransformer
Construct a default transformer.
FastHadamardTransformer - Class in org.apache.commons.math.transform
Implements the Fast Hadamard Transform (FHT).
FastHadamardTransformer() - Constructor for class org.apache.commons.math.transform.FastHadamardTransformer
 
FastMath - Class in org.apache.commons.math.util
Faster, more accurate, portable alternative to StrictMath.
FastSineTransformer - Class in org.apache.commons.math.transform
Implements the Fast Sine Transform for transformation of one-dimensional data sets.
FastSineTransformer() - Constructor for class org.apache.commons.math.transform.FastSineTransformer
Construct a default transformer.
fbar(int, double) - Static method in class jhplot.math.KolmogorovSmirnovDist
Computes the complementary cumulative probability P[D_n >= x] of the Kolmogorov-Smirnov distribution with sample size n at x.
FDistribution - Class in jhplot.math.num.pdf
The F distribution (1).
FDistribution() - Constructor for class jhplot.math.num.pdf.FDistribution
Default constructor.
FDistribution(double, double) - Constructor for class jhplot.math.num.pdf.FDistribution
Create a distribution with the given numerator degrees of freedom and denominator degrees of freedom.
FDistribution - Interface in org.apache.commons.math.distribution
F-Distribution.
FDistributionImpl - Class in org.apache.commons.math.distribution
Default implementation of FDistribution.
FDistributionImpl(double, double) - Constructor for class org.apache.commons.math.distribution.FDistributionImpl
Create a F distribution using the given degrees of freedom.
FDistributionImpl(double, double, double) - Constructor for class org.apache.commons.math.distribution.FDistributionImpl
Create a F distribution using the given degrees of freedom and inverse cumulative probability accuracy.
fi(int) - Method in interface jhplot.math.IndexFunction
 
Field<T> - Interface in org.apache.commons.math
Interface representing a field.
FieldDecompositionSolver<T extends FieldElement<T>> - Interface in org.apache.commons.math.linear
Interface handling decomposition algorithms that can solve A × X = B.
FieldElement<T> - Interface in org.apache.commons.math
Interface representing field elements.
FieldLUDecomposition<T extends FieldElement<T>> - Interface in org.apache.commons.math.linear
An interface to classes that implement an algorithm to calculate the LU-decomposition of a real matrix.
FieldLUDecompositionImpl<T extends FieldElement<T>> - Class in org.apache.commons.math.linear
Calculates the LUP-decomposition of a square matrix.
FieldLUDecompositionImpl(FieldMatrix<T>) - Constructor for class org.apache.commons.math.linear.FieldLUDecompositionImpl
Calculates the LU-decomposition of the given matrix.
FieldMatrix<T extends FieldElement<T>> - Interface in org.apache.commons.math.linear
Interface defining field-valued matrix with basic algebraic operations.
FieldMatrixChangingVisitor<T extends FieldElement<?>> - Interface in org.apache.commons.math.linear
Interface defining a visitor for matrix entries.
FieldMatrixPreservingVisitor<T extends FieldElement<?>> - Interface in org.apache.commons.math.linear
Interface defining a visitor for matrix entries.
FieldVector<T extends FieldElement<T>> - Interface in org.apache.commons.math.linear
Interface defining a field-valued vector with basic algebraic operations.
FileAida - Class in jhplot.io
Open an AIDA file and retrieve objects for plotting.
FileAida(String) - Constructor for class jhplot.io.FileAida
Create object to read AIDA file.
FileAida(String, boolean) - Constructor for class jhplot.io.FileAida
Create object to read AIDA file.
FileAida() - Constructor for class jhplot.io.FileAida
Create FileAida
fileNameOfPath(String) - Static method in class jhplot.v3d.Util
 
FilePrintable - Interface in jhplot.math.io
BSD License
FileRoot - Class in jhplot.io
Class to read ROOT files.
FileRoot(String) - Constructor for class jhplot.io.FileRoot
Main constructor to build root file reader.
FileRoot(URL) - Constructor for class jhplot.io.FileRoot
Open file from URL
fill(int[], double[], double) - Method in interface hep.aida.ref.dataset.binner.Binner
Fill a bin with a new entry.
fill(int[], double[], double) - Method in class hep.aida.ref.dataset.binner.DefaultBinner
Fill a bin with a new entry.
fill(IHistogram1D, IFunction, int, double) - Static method in class hep.aida.ref.function.FunctionUtils
Fills IHistogram1D with random entries according to the provided distribution.
fill(IHistogram2D, IFunction, int, double) - Static method in class hep.aida.ref.function.FunctionUtils
 
fill(IHistogram3D, IFunction, int, double) - Static method in class hep.aida.ref.function.FunctionUtils
 
fill(int, double, double) - Method in class hep.aida.ref.histogram.binner.AbstractBinner1D
 
fill(int, int, double, double, double) - Method in class hep.aida.ref.histogram.binner.BasicBinner2D
 
fill(int, int, int, double, double, double, double) - Method in class hep.aida.ref.histogram.binner.BasicBinner3D
 
fill(int, double, double) - Method in interface hep.aida.ref.histogram.binner.Binner1D
 
fill(int, int, double, double, double) - Method in interface hep.aida.ref.histogram.binner.Binner2D
 
fill(int, int, int, double, double, double, double) - Method in interface hep.aida.ref.histogram.binner.Binner3D
 
fill(int, double, double) - Method in class hep.aida.ref.histogram.binner.EfficiencyBinner1D
 
fill(int, int, double, double, double) - Method in class hep.aida.ref.histogram.binner.EfficiencyBinner2D
 
fill(int, int, int, double, double, double, double) - Method in class hep.aida.ref.histogram.binner.EfficiencyBinner3D
 
fill(double) - Method in class hep.aida.ref.histogram.Cloud1D
Fill the Cloud with a new value with unit weight
fill(double, double) - Method in class hep.aida.ref.histogram.Cloud1D
Fill the Cloud with a new value with given weight
fill(double, double) - Method in class hep.aida.ref.histogram.Cloud2D
Fill the Cloud with new values with unit weight
fill(double, double, double) - Method in class hep.aida.ref.histogram.Cloud2D
Fill the Cloud with new values with given weight
fill(double, double, double) - Method in class hep.aida.ref.histogram.Cloud3D
Fill the Cloud with new values with unit weight
fill(double, double, double, double) - Method in class hep.aida.ref.histogram.Cloud3D
Fill the Cloud with new values with given weight
fill(double) - Method in class hep.aida.ref.histogram.Histogram1D
Fill the Histogram with unit weight.
fill(double, double) - Method in class hep.aida.ref.histogram.Histogram1D
Fill the Histogram.
fill(double, double) - Method in class hep.aida.ref.histogram.Histogram2D
Fill the Histogram with unit weight.
fill(double, double, double) - Method in class hep.aida.ref.histogram.Histogram2D
Fill the Histogram.
fill(double, double, double) - Method in class hep.aida.ref.histogram.Histogram3D
Fill the Histogram with unit weight.
fill(double, double, double, double) - Method in class hep.aida.ref.histogram.Histogram3D
Fill the Histogram.
fill(double, double, double) - Method in class hep.aida.ref.histogram.Profile1D
 
fill(double, double) - Method in class hep.aida.ref.histogram.Profile1D
 
fill(double, double, double) - Method in class hep.aida.ref.histogram.Profile2D
 
fill(double, double, double, double) - Method in class hep.aida.ref.histogram.Profile2D
 
fill(boolean) - Method in class hep.aida.ref.tuple.AbstractTuple.AbstractTupleColumnFactory.BooleanTupleColumn
 
fill(byte) - Method in class hep.aida.ref.tuple.AbstractTuple.AbstractTupleColumnFactory.ByteTupleColumn
 
fill(char) - Method in class hep.aida.ref.tuple.AbstractTuple.AbstractTupleColumnFactory.CharTupleColumn
 
fill(double) - Method in class hep.aida.ref.tuple.AbstractTuple.AbstractTupleColumnFactory.DoubleTupleColumn
 
fill(float) - Method in class hep.aida.ref.tuple.AbstractTuple.AbstractTupleColumnFactory.FloatTupleColumn
 
fill(int) - Method in class hep.aida.ref.tuple.AbstractTuple.AbstractTupleColumnFactory.IntTupleColumn
 
fill(ITuple) - Method in class hep.aida.ref.tuple.AbstractTuple.AbstractTupleColumnFactory.ITupleTupleColumn
 
fill(long) - Method in class hep.aida.ref.tuple.AbstractTuple.AbstractTupleColumnFactory.LongTupleColumn
 
fill(Object) - Method in class hep.aida.ref.tuple.AbstractTuple.AbstractTupleColumnFactory.ObjectTupleColumn
 
fill(short) - Method in class hep.aida.ref.tuple.AbstractTuple.AbstractTupleColumnFactory.ShortTupleColumn
 
fill(String) - Method in class hep.aida.ref.tuple.AbstractTuple.AbstractTupleColumnFactory.StringTupleColumn
 
fill(int, Value) - Method in class hep.aida.ref.tuple.AbstractTuple
 
fill(double[]) - Method in class hep.aida.ref.tuple.AbstractTuple
 
fill(float[]) - Method in class hep.aida.ref.tuple.AbstractTuple
 
fill(int, boolean) - Method in class hep.aida.ref.tuple.AbstractTuple
 
fill(int, byte) - Method in class hep.aida.ref.tuple.AbstractTuple
 
fill(int, char) - Method in class hep.aida.ref.tuple.AbstractTuple
 
fill(int, double) - Method in class hep.aida.ref.tuple.AbstractTuple
 
fill(int, float) - Method in class hep.aida.ref.tuple.AbstractTuple
 
fill(int, int) - Method in class hep.aida.ref.tuple.AbstractTuple
 
fill(int, Object) - Method in class hep.aida.ref.tuple.AbstractTuple
 
fill(int, String) - Method in class hep.aida.ref.tuple.AbstractTuple
 
fill(int, long) - Method in class hep.aida.ref.tuple.AbstractTuple
 
fill(int, short) - Method in class hep.aida.ref.tuple.AbstractTuple
 
fill(int, Value) - Method in class hep.aida.ref.tuple.ReadOnlyAbstractTuple
 
fill(int, Value) - Method in class hep.aida.ref.tuple.Tuple
 
fill(Value) - Method in class hep.aida.ref.tuple.TupleColumn
 
fill(boolean) - Method in class hep.aida.ref.tuple.TupleColumn.TupleColumnBoolean
 
fill(byte) - Method in class hep.aida.ref.tuple.TupleColumn.TupleColumnByte
 
fill(char) - Method in class hep.aida.ref.tuple.TupleColumn.TupleColumnChar
 
fill(double) - Method in class hep.aida.ref.tuple.TupleColumn.TupleColumnDouble
 
fill(float) - Method in class hep.aida.ref.tuple.TupleColumn.TupleColumnFloat
 
fill(Value) - Method in class hep.aida.ref.tuple.TupleColumn.TupleColumnFolder
 
fill(ITuple) - Method in class hep.aida.ref.tuple.TupleColumn.TupleColumnFolder
 
fill(int) - Method in class hep.aida.ref.tuple.TupleColumn.TupleColumnInt
 
fill(long) - Method in class hep.aida.ref.tuple.TupleColumn.TupleColumnLong
 
fill(Object) - Method in class hep.aida.ref.tuple.TupleColumn.TupleColumnObject
 
fill(short) - Method in class hep.aida.ref.tuple.TupleColumn.TupleColumnShort
 
fill(String) - Method in class hep.aida.ref.tuple.TupleColumn.TupleColumnString
 
fill(P0D) - Method in class jhplot.H1D
Fill histogram from P0D array
fill(int, AbstractDistribution) - Method in class jhplot.H1D
Fill histogram with random numbers.
fill(P0I) - Method in class jhplot.H1D
Fill histogram from P0I array
fill(double) - Method in class jhplot.H1D
Fill histogram with a value
fill(PND) - Method in class jhplot.H1D
Fill histogram with values from a PND array.
fill(PND, PND) - Method in class jhplot.H1D
Fill histograms with values from PND array.
fill(double[]) - Method in class jhplot.H1D
Fill histogram with array of double values
fill(Cloud1D) - Method in class jhplot.H1D
Fill histogram with array of double values
fill(double[], double[]) - Method in class jhplot.H1D
Fill histogram with array of double values.
fill(int[]) - Method in class jhplot.H1D
Fill histogram with array of integer values
fill(double, double) - Method in class jhplot.H1D
Fill histogram a with weight
fill(double, double) - Method in class jhplot.H2D
Fill H2D histogram assuming all weights are unity.
fill(double, double, double) - Method in class jhplot.H2D
Fill H2D histogram with weights
fill(double[], double[]) - Method in class jhplot.H2D
Fill H2D histogram from 2 arrays.
fill(Cloud2D) - Method in class jhplot.H2D
Fill H2D histogram from Cloud2D.
fill(P0D, P0D) - Method in class jhplot.H2D
Fill H2D histogram from 2 arrays.
fill(P0I, P0I) - Method in class jhplot.H2D
Fill H2D histogram from 2 arrays.
fill(double[], double[], double[]) - Method in class jhplot.H2D
Fill H2D histogram from arrays.
fill(double, double) - Method in class jhplot.HProf1D
Fill profile histogram with X and Y
fill(double, double, double) - Method in class jhplot.HProf1D
Fill profile histogram with X and Y
fill(double[], double[]) - Method in class jhplot.HProf1D
Fill histogram with array of double values.
fill(double[], double[], double[]) - Method in class jhplot.HProf1D
Fill histogram with array of double values.
fill(double, double, double) - Method in class jhplot.HProf2D
Fill histogram assuming all weights are unity.
fill(double, double, double, double) - Method in class jhplot.HProf2D
Fill histogram assuming all weights are unity.
fill(double[], double[], double[]) - Method in class jhplot.HProf2D
Fill histogram from 2 arrays.
fill(double[], double[], double[], double[]) - Method in class jhplot.HProf2D
Fill histogram from 2 arrays.
fill(int, int, double) - Static method in class jhplot.math.DoubleArray
Fills an m x n matrix of doubles with constant c.
fill(int, double) - Static method in class jhplot.math.DoubleArray
Provides an m element array filled with constant c.
fill(int, double, double) - Method in class jhplot.P0D
Fill with a sequence of numbers between min and max.
fill(double[]) - Method in class jhplot.P0D
Fill a P0D container from an array.
fill(int[]) - Method in class jhplot.P0D
Fill a P0D container from an array.
fill(int, Integer, Integer) - Method in class jhplot.P0I
Fill with a sequence of numbers between min and max.
fill(Integer[]) - Method in class jhplot.P0I
Fill a P0I container from an array.
fill(int[]) - Method in class jhplot.P0I
Fill a P0I container from an array.
fill(double[], double[]) - Method in class jhplot.P1D
Fill a P1D container from 2 arrays.
fill(P0D, P0D) - Method in class jhplot.P1D
Fill a P1D container from 2 P0D arrays.
fill(Cloud2D) - Method in class jhplot.P1D
Fill a P1D container from a Cloud2D.
fill(double[], double[], double[]) - Method in class jhplot.P1D
Fill a P1D container from 3 arrays (one represents symmetrical errors on Y).
fill(P0D, P0D, P0D) - Method in class jhplot.P1D
Fill a P1D container from P0D arrays (one represents symmetrical errors on Y).
fill(double[], double[], double[], double[]) - Method in class jhplot.P1D
Fill a P1D container from 4 arrays (last represents asymmetrical upper and lower errors on Y).
fill(double[], double[], double[], double[], double[], double[], double[], double[], double[], double[]) - Method in class jhplot.P1D
Fill the values of a X-Y plot-points with full errors.
fill(double[], double[], double[]) - Method in class jhplot.P2D
Fill a P2D container from 3 arrays.
fill(double[]) - Method in class org.apache.commons.math.random.ValueServer
Fills the input array with values generated using getNext() repeatedly.
fill(int) - Method in class org.apache.commons.math.random.ValueServer
Returns an array of length length with values generated using getNext() repeatedly.
fillableObject() - Method in class hep.aida.ref.tuple.AbstractTuple.AbstractTupleColumnFactory.BooleanTupleColumn
 
fillableObject() - Method in class hep.aida.ref.tuple.AbstractTuple.AbstractTupleColumnFactory.ByteTupleColumn
 
fillableObject() - Method in class hep.aida.ref.tuple.AbstractTuple.AbstractTupleColumnFactory.CharTupleColumn
 
fillableObject() - Method in class hep.aida.ref.tuple.AbstractTuple.AbstractTupleColumnFactory.DoubleTupleColumn
 
fillableObject() - Method in class hep.aida.ref.tuple.AbstractTuple.AbstractTupleColumnFactory.FloatTupleColumn
 
fillableObject() - Method in class hep.aida.ref.tuple.AbstractTuple.AbstractTupleColumnFactory.IntTupleColumn
 
fillableObject() - Method in class hep.aida.ref.tuple.AbstractTuple.AbstractTupleColumnFactory.ITupleTupleColumn
 
fillableObject() - Method in class hep.aida.ref.tuple.AbstractTuple.AbstractTupleColumnFactory.LongTupleColumn
 
fillableObject() - Method in class hep.aida.ref.tuple.AbstractTuple.AbstractTupleColumnFactory.ObjectTupleColumn
 
fillableObject() - Method in class hep.aida.ref.tuple.AbstractTuple.AbstractTupleColumnFactory.ShortTupleColumn
 
fillableObject() - Method in class hep.aida.ref.tuple.AbstractTuple.AbstractTupleColumnFactory.StringTupleColumn
 
fillableObject() - Method in class hep.aida.ref.tuple.TupleColumn.TupleColumnBoolean
 
fillableObject() - Method in class hep.aida.ref.tuple.TupleColumn.TupleColumnByte
 
fillableObject() - Method in class hep.aida.ref.tuple.TupleColumn.TupleColumnChar
 
fillableObject() - Method in class hep.aida.ref.tuple.TupleColumn.TupleColumnDouble
 
fillableObject() - Method in class hep.aida.ref.tuple.TupleColumn.TupleColumnFloat
 
fillableObject() - Method in class hep.aida.ref.tuple.TupleColumn.TupleColumnFolder
 
fillableObject() - Method in class hep.aida.ref.tuple.TupleColumn.TupleColumnInt
 
fillableObject() - Method in class hep.aida.ref.tuple.TupleColumn.TupleColumnLong
 
fillableObject() - Method in class hep.aida.ref.tuple.TupleColumn.TupleColumnObject
 
fillableObject() - Method in class hep.aida.ref.tuple.TupleColumn.TupleColumnShort
 
fillableObject() - Method in class hep.aida.ref.tuple.TupleColumn.TupleColumnString
 
fillHistogram(IHistogram1D) - Method in class hep.aida.ref.histogram.Cloud1D
 
fillHistogram(IHistogram2D) - Method in class hep.aida.ref.histogram.Cloud2D
 
fillHistogram(IHistogram3D) - Method in class hep.aida.ref.histogram.Cloud3D
 
fillInvBinSizeWeight(double) - Method in class jhplot.H1D
Fill histogram with a value, weighting it by inverse of bin size.
fillInvBinSizeWeight(double) - Method in class jhplot.HProf1D
Fill histogram with a value, weighting it by inverse of bin size.
fillP0D(P0D, P0D) - Method in class jhplot.HProf1D
Fill histogram from two P0D arrays
fillPath(ITree, IManagedObject) - Static method in class hep.aida.ref.AidaUtils
 
fillPlot() - Method in class jhplot.SPlot
Rescale so that the data that is currently plotted just fits.
fillRandom(DataPoint, DataPoint, int, int) - Method in class jminhep.cluster.DataHolder
Fill an existing data holder with random numbers
fillWithVectors(String, Vector, Vector) - Method in class jhplot.SPsheet
Fill the table from the Vectors
Filter - Class in hep.aida.ref.tuple
 
Filter(String) - Constructor for class hep.aida.ref.tuple.Filter
Default contructor.
Filter(String, int) - Constructor for class hep.aida.ref.tuple.Filter
 
Filter(String, int, int) - Constructor for class hep.aida.ref.tuple.Filter
 
finalizeStep() - Method in class org.apache.commons.math.ode.sampling.AbstractStepInterpolator
Finalize the step.
find(String) - Method in class hep.aida.ref.tree.Tree
Get the IManagedObject at a given path in the ITree.
find(double) - Method in class jhplot.P0D
Returns the index of first occurrence of the specified element
find(Integer) - Method in class jhplot.P0I
Returns the index of first occurrence of the specified element
findBin(double) - Method in class jhplot.H1D
Convert a coordinate on the axis to a bin number
findBinX(double) - Method in class jhplot.H2D
Convert a coordinate X on the axis to a bin number
findBinY(double) - Method in class jhplot.H2D
Convert a coordinate Y on the axis to a bin number
findColumn(String) - Method in class hep.aida.ref.tuple.AbstractTuple
 
findColumn(String) - Method in class hep.aida.ref.tuple.ChainedTuple
Convert a name to a column index.
findColumn(String) - Method in class hep.aida.ref.tuple.Tuple
 
findDescriptor(int) - Method in class jhplot.io.csv.bean.HeaderColumnNameMappingStrategy
 
findDescriptor(int) - Method in interface jhplot.io.csv.bean.MappingStrategy
Implementation will have to return a property descriptor from a bean based on the current column.
findex(int, IndexFunction) - Static method in class jhplot.math.DoubleArray
Provides a sequence of values to which some function has been applied.
findInArray(String, String[]) - Static method in class hep.aida.ref.AidaUtils
 
findKey(String) - Method in class hep.aida.ref.Annotation
 
findObject(String) - Method in class hep.aida.ref.tree.Tree
 
findPath(IManagedObject) - Method in class hep.aida.ref.tree.Tree
Get the full path of an IManagedObject.
findRoot(double, double) - Method in class jhplot.math.num.root.BisectionRootFinder
Find a root of the target function that lies in the interval [ min, max].
findRoot(double, double) - Method in class jhplot.math.num.root.BrentRootFinder
Find a root of the target function that lies between the two initial approximations, x0 and x1.
findRoot(double, double) - Method in class jhplot.math.num.root.FalsePositionRootFinder
Find a root of the target function that lies in the interval [ min, max].
findRoot(double) - Method in class jhplot.math.num.root.NewtonRootFinder
Find a root of the target function that lies close to x.
findRoot(double, double) - Method in class jhplot.math.num.root.SecantRootFinder
Find a root of the target function that lies around the two initial approximations, x0 and x1.
findSlice(double[]) - Method in class jhplot.math.Slicing
 
findTree(String) - Method in class hep.aida.ref.tree.Tree
 
findTuple(int) - Method in class hep.aida.ref.tuple.AbstractTuple
 
findTuple(int) - Method in class hep.aida.ref.tuple.ChainedTuple
 
findTuple(int) - Method in class hep.aida.ref.tuple.Tuple
Get Folder at the current cursor position.
FINITE - Static variable in class org.apache.commons.math.dfp.Dfp
Indicator value for normal finite numbers.
fireConnectionEvent(String, boolean) - Method in class hep.aida.ref.tree.Tree
 
FirstMoment - Class in org.apache.commons.math.stat.descriptive.moment
Computes the first moment (arithmetic mean).
FirstMoment() - Constructor for class org.apache.commons.math.stat.descriptive.moment.FirstMoment
Create a FirstMoment instance
FirstMoment(FirstMoment) - Constructor for class org.apache.commons.math.stat.descriptive.moment.FirstMoment
Copy constructor, creates a new FirstMoment identical to the original
FirstOrderConverter - Class in org.apache.commons.math.ode
This class converts second order differential equations to first order ones.
FirstOrderConverter(SecondOrderDifferentialEquations) - Constructor for class org.apache.commons.math.ode.FirstOrderConverter
Simple constructor.
FirstOrderDifferentialEquations - Interface in org.apache.commons.math.ode
This interface represents a first order differential equations set.
FirstOrderIntegrator - Interface in org.apache.commons.math.ode
This interface represents a first order integrator for differential equations.
FirstOrderIntegratorWithJacobians - Class in org.apache.commons.math.ode.jacobians
Deprecated. as of 2.2 the complete package is deprecated, it will be replaced in 3.0 by a completely rewritten implementation
FirstOrderIntegratorWithJacobians(FirstOrderIntegrator, ParameterizedODE, double[], double[], double[]) - Constructor for class org.apache.commons.math.ode.jacobians.FirstOrderIntegratorWithJacobians
Deprecated. Build an enhanced integrator using internal differentiation to compute jacobians.
FirstOrderIntegratorWithJacobians(FirstOrderIntegrator, ODEWithJacobians) - Constructor for class org.apache.commons.math.ode.jacobians.FirstOrderIntegratorWithJacobians
Deprecated. Build an enhanced integrator using ODE builtin jacobian computation features.
fit(Function) - Method in class hep.aida.ref.fitter.Fitter
 
fit(IFitData, IFunction) - Method in class hep.aida.ref.fitter.Fitter
 
fit(IFitData, IFunction, String) - Method in class hep.aida.ref.fitter.Fitter
 
fit(IFitData, IFunction, String, Object) - Method in class hep.aida.ref.fitter.Fitter
 
fit(IBaseHistogram, IFunction) - Method in class hep.aida.ref.fitter.Fitter
 
fit(IBaseHistogram, IFunction, String) - Method in class hep.aida.ref.fitter.Fitter
 
fit(IBaseHistogram, String) - Method in class hep.aida.ref.fitter.Fitter
 
fit(IBaseHistogram, String, String) - Method in class hep.aida.ref.fitter.Fitter
 
fit(IBaseHistogram, String, double[]) - Method in class hep.aida.ref.fitter.Fitter
 
fit(IBaseHistogram, String, double[], String) - Method in class hep.aida.ref.fitter.Fitter
 
fit(IDataPointSet, IFunction) - Method in class hep.aida.ref.fitter.Fitter
 
fit(IDataPointSet, IFunction, String) - Method in class hep.aida.ref.fitter.Fitter
 
fit(IDataPointSet, IFunction, double[]) - Method in class hep.aida.ref.fitter.Fitter
 
fit(IDataPointSet, IFunction, String, Object) - Method in class hep.aida.ref.fitter.Fitter
 
fit(IDataPointSet, IFunction, double[], String, Object) - Method in class hep.aida.ref.fitter.Fitter
 
fit(IDataPointSet, String) - Method in class hep.aida.ref.fitter.Fitter
 
fit(IDataPointSet, String, String) - Method in class hep.aida.ref.fitter.Fitter
 
fit(IDataPointSet, String, String, Object) - Method in class hep.aida.ref.fitter.Fitter
 
fit(IDataPointSet, String, double[]) - Method in class hep.aida.ref.fitter.Fitter
 
fit(IDataPointSet, String, double[], String) - Method in class hep.aida.ref.fitter.Fitter
 
fit(IDataPointSet, String, double[], String, Object) - Method in class hep.aida.ref.fitter.Fitter
 
fit(IFitData, String, double[]) - Method in class hep.aida.ref.fitter.Fitter
 
fit(IFitData, String, double[], String) - Method in class hep.aida.ref.fitter.Fitter
 
fit(IFitData, String, double[], String, Object) - Method in class hep.aida.ref.fitter.Fitter
 
fit(IFitData, String) - Method in class hep.aida.ref.fitter.Fitter
 
fit(IFitData, String, String) - Method in class hep.aida.ref.fitter.Fitter
 
fit(IFitData, String, String, Object) - Method in class hep.aida.ref.fitter.Fitter
 
fit(H1D) - Method in class jhplot.HFitter
Fit histogram
fit(P1D) - Method in class jhplot.HFitter
Fit P1D
fit(PND) - Method in class jhplot.HFitter
Fit PND (all errors set to be zero).
fit(H2D) - Method in class jhplot.HFitter
Fit H2D histogram
fit(H1D, String, String) - Method in class jhplot.HPlot
Fit 1D histogram with the function F1D
fit(H1D, String, String) - Method in class jhplot.HPlotJa
Fit 1D histogram with the function F1D
fit(ParametricRealFunction, double[]) - Method in class org.apache.commons.math.optimization.fitting.CurveFitter
Fit a curve.
fit() - Method in class org.apache.commons.math.optimization.fitting.GaussianFitter
Fits Gaussian function to the observed points.
fit() - Method in class org.apache.commons.math.optimization.fitting.HarmonicFitter
Fit an harmonic function to the observed points.
fit() - Method in class org.apache.commons.math.optimization.fitting.PolynomialFitter
Get the polynomial fitting the weighted (x, y) points.
FitData - Class in hep.aida.ref.fitter.fitdata
 
FitData() - Constructor for class hep.aida.ref.fitter.fitdata.FitData
Creates a new instance of FitData
FitDataCreator - Class in hep.aida.ref.fitter.fitdata
Creates FitData.
FitDataCreator() - Constructor for class hep.aida.ref.fitter.fitdata.FitDataCreator
 
FitDataIterator - Class in hep.aida.ref.fitter.fitdata
 
FitDataIterator(ITuple) - Constructor for class hep.aida.ref.fitter.fitdata.FitDataIterator
 
fitF() - Method in class jhplot.HPlot
Return FitFactory associated with the plot
fitF() - Method in class jhplot.HPlotJa
Return FitFactory associated with the plot
FitFactory - Class in hep.aida.ref.fitter
 
FitFactory() - Constructor for class hep.aida.ref.fitter.FitFactory
 
fitMethodName() - Method in class hep.aida.ref.fitter.FitResult
 
fitMethodName() - Method in class hep.aida.ref.fitter.Fitter
 
fitMethodNames() - Method in class hep.aida.ref.fitter.fitmethod.AbstractFitMethod
 
Fitness - Interface in org.apache.commons.math.genetics
Fitness of a chromosome.
fitness() - Method in interface org.apache.commons.math.genetics.Fitness
Compute the fitness.
FitParameterSettings - Class in hep.aida.ref.fitter
 
FitParameterSettings(String) - Constructor for class hep.aida.ref.fitter.FitParameterSettings
Creates a new instance of FitParameterSettings.
fitParameterSettings(String) - Method in class hep.aida.ref.fitter.FitResult
 
fitParameterSettings(String) - Method in class hep.aida.ref.fitter.Fitter
 
FitResult - Class in hep.aida.ref.fitter
 
FitResult(int) - Constructor for class hep.aida.ref.fitter.FitResult
 
FitResult(int, double) - Constructor for class hep.aida.ref.fitter.FitResult
 
fitStatus() - Method in class hep.aida.ref.fitter.FitResult
 
fittedFunction() - Method in class hep.aida.ref.fitter.FitResult
 
fittedParameter(String) - Method in class hep.aida.ref.fitter.FitResult
 
fittedParameterNames() - Method in class hep.aida.ref.fitter.FitResult
 
fittedParameters() - Method in class hep.aida.ref.fitter.FitResult
 
Fitter - Class in hep.aida.ref.fitter
 
Fitter(String, String, String) - Constructor for class hep.aida.ref.fitter.Fitter
Create a new Fitter specifying the underlying optimizing engine.
fitType() - Method in class hep.aida.ref.fitter.fitdata.FitData
 
fitType() - Method in class hep.aida.ref.fitter.fitmethod.AbstractFitMethod
 
fix1stArgument(double) - Method in class org.apache.commons.math.analysis.BinaryFunction
Deprecated. Get a composable function by fixing the first argument of the instance.
fix2ndArgument(double) - Method in class org.apache.commons.math.analysis.BinaryFunction
Deprecated. Get a composable function by fixing the second argument of the instance.
FixedAxis - Class in hep.aida.ref.histogram
Fixed-width axis; A reference implementation of hep.aida.IAxis.
FixedAxis(int, double, double) - Constructor for class hep.aida.ref.histogram.FixedAxis
Create an Axis
FixedGenerationCount - Class in org.apache.commons.math.genetics
Stops after a fixed number of generations.
FixedGenerationCount(int) - Constructor for class org.apache.commons.math.genetics.FixedGenerationCount
Create a new FixedGenerationCount instance.
FixedStepHandler - Interface in org.apache.commons.math.ode.sampling
This interface represents a handler that should be called after each successful fixed step.
FLAG_DIV_ZERO - Static variable in class org.apache.commons.math.dfp.DfpField
IEEE 854-1987 flag for division by zero.
FLAG_INEXACT - Static variable in class org.apache.commons.math.dfp.DfpField
IEEE 854-1987 flag for inexact result.
FLAG_INVALID - Static variable in class org.apache.commons.math.dfp.DfpField
IEEE 854-1987 flag for invalid operation.
FLAG_OVERFLOW - Static variable in class org.apache.commons.math.dfp.DfpField
IEEE 854-1987 flag for overflow.
FLAG_UNDERFLOW - Static variable in class org.apache.commons.math.dfp.DfpField
IEEE 854-1987 flag for underflow.
flatten(Object[]) - Static method in class org.apache.commons.math.exception.util.ArgUtils
Transform a multidimensional array into a one-dimensional list.
FLine(float, float) - Static method in class jhplot.jadraw.Diagram
Get a fermion line
floatValue() - Method in class org.apache.commons.math.fraction.BigFraction
Gets the fraction as a float.
floatValue() - Method in class org.apache.commons.math.fraction.Fraction
Gets the fraction as a float.
FLoop(float, float) - Static method in class jhplot.jadraw.Diagram
Get a fermion loop object
floor(double[][]) - Static method in class jhplot.math.IntegerArray
 
floor(double[]) - Static method in class jhplot.math.IntegerArray
 
FLOOR - Static variable in class org.apache.commons.math.analysis.ComposableFunction
The FastMath.floor method wrapped as a ComposableFunction.
floor() - Method in class org.apache.commons.math.dfp.Dfp
Round to an integer using the round floor mode.
floor(double) - Static method in class org.apache.commons.math.util.FastMath
Get the largest whole number smaller than x.
flush() - Method in class jhplot.io.csv.CSVWriter
Flush underlying stream to writer.
flush() - Method in class jhplot.math.io.LEDataOutputStream
 
FND - Class in jhplot
Create a function in multiple dimensions.
FND(String, String, String) - Constructor for class jhplot.FND
Create a function in any dimension evaluation.
FND(String, String) - Constructor for class jhplot.FND
Build a function, setting its title to the definition.
Folder - Class in hep.aida.ref.tree
A Folder is a managed object representing a directory in a tree.
FOLDER_MASK - Static variable in class hep.aida.ref.event.TreeEvent
 
format(Complex, StringBuffer, FieldPosition) - Method in class org.apache.commons.math.complex.ComplexFormat
Formats a Complex object to produce a string.
format(Object, StringBuffer, FieldPosition) - Method in class org.apache.commons.math.complex.ComplexFormat
Formats a object to produce a string.
format(double, StringBuffer, FieldPosition) - Method in class org.apache.commons.math.fraction.AbstractFormat
Formats a double value as a fraction and appends the result to a StringBuffer.
format(long, StringBuffer, FieldPosition) - Method in class org.apache.commons.math.fraction.AbstractFormat
Formats a long value as a fraction and appends the result to a StringBuffer.
format(BigFraction, StringBuffer, FieldPosition) - Method in class org.apache.commons.math.fraction.BigFractionFormat
Formats a BigFraction object to produce a string.
format(Object, StringBuffer, FieldPosition) - Method in class org.apache.commons.math.fraction.BigFractionFormat
Formats an object and appends the result to a StringBuffer.
format(Fraction, StringBuffer, FieldPosition) - Method in class org.apache.commons.math.fraction.FractionFormat
Formats a Fraction object to produce a string.
format(Object, StringBuffer, FieldPosition) - Method in class org.apache.commons.math.fraction.FractionFormat
Formats an object and appends the result to a StringBuffer.
format(BigFraction, StringBuffer, FieldPosition) - Method in class org.apache.commons.math.fraction.ProperBigFractionFormat
Formats a BigFraction object to produce a string.
format(Fraction, StringBuffer, FieldPosition) - Method in class org.apache.commons.math.fraction.ProperFractionFormat
Formats a Fraction object to produce a string.
format(Vector3D, StringBuffer, FieldPosition) - Method in class org.apache.commons.math.geometry.Vector3DFormat
Formats a Vector3D object to produce a string.
format(Object, StringBuffer, FieldPosition) - Method in class org.apache.commons.math.geometry.Vector3DFormat
Formats a object to produce a string.
format(RealVector, StringBuffer, FieldPosition) - Method in class org.apache.commons.math.linear.RealVectorFormat
Formats a RealVector object to produce a string.
format(Object, StringBuffer, FieldPosition) - Method in class org.apache.commons.math.linear.RealVectorFormat
Formats a object to produce a string.
formatBigFraction(BigFraction) - Static method in class org.apache.commons.math.fraction.BigFractionFormat
This static method calls formatBigFraction() on a default instance of BigFractionFormat.
formatComplex(Complex) - Static method in class org.apache.commons.math.complex.ComplexFormat
This static method calls Format.format(Object) on a default instance of ComplexFormat.
formatFraction(Fraction) - Static method in class org.apache.commons.math.fraction.FractionFormat
This static method calls formatFraction() on a default instance of FractionFormat.
formatNumber(double, int) - Method in class jhplot.jadraw.JaAxes
formats a double precision number such that it is correctly rounded for output.
formatRealVector(RealVector) - Static method in class org.apache.commons.math.linear.RealVectorFormat
This static method calls Format.format(Object) on a default instance of RealVectorFormat.
formatVector3D(Vector3D) - Static method in class org.apache.commons.math.geometry.Vector3DFormat
This static method calls Format.format(Object) on a default instance of Vector3DFormat.
FOUR_FIFTHS - Static variable in class org.apache.commons.math.fraction.BigFraction
A fraction representing "4/5".
FOUR_FIFTHS - Static variable in class org.apache.commons.math.fraction.Fraction
A fraction representing "4/5".
FourthMoment - Class in org.apache.commons.math.stat.descriptive.moment
Computes a statistic related to the Fourth Central Moment.
FourthMoment() - Constructor for class org.apache.commons.math.stat.descriptive.moment.FourthMoment
Create a FourthMoment instance
FourthMoment(FourthMoment) - Constructor for class org.apache.commons.math.stat.descriptive.moment.FourthMoment
Copy constructor, creates a new FourthMoment identical to the original
FPR - Class in jhplot
Class to build parametric functions using two independent variables, u and v.
FPR(String, String, int, int) - Constructor for class jhplot.FPR
Create a parametric function.
FPR(String, int, int) - Constructor for class jhplot.FPR
Create a parametric function.
FPR(String) - Constructor for class jhplot.FPR
Create a parametric function.
Fraction - Class in org.apache.commons.math.fraction
Representation of a rational number.
Fraction(double) - Constructor for class org.apache.commons.math.fraction.Fraction
Create a fraction given the double value.
Fraction(double, double, int) - Constructor for class org.apache.commons.math.fraction.Fraction
Create a fraction given the double value and maximum error allowed.
Fraction(double, int) - Constructor for class org.apache.commons.math.fraction.Fraction
Create a fraction given the double value and maximum denominator.
Fraction(int) - Constructor for class org.apache.commons.math.fraction.Fraction
Create a fraction from an int.
Fraction(int, int) - Constructor for class org.apache.commons.math.fraction.Fraction
Create a fraction given the numerator and denominator.
FractionConversionException - Exception in org.apache.commons.math.fraction
Error thrown when a double value cannot be converted to a fraction in the allowed number of iterations.
FractionConversionException(double, int) - Constructor for exception org.apache.commons.math.fraction.FractionConversionException
Constructs an exception with specified formatted detail message.
FractionConversionException(double, long, long) - Constructor for exception org.apache.commons.math.fraction.FractionConversionException
Constructs an exception with specified formatted detail message.
FractionField - Class in org.apache.commons.math.fraction
Representation of the fractional numbers field.
FractionFormat - Class in org.apache.commons.math.fraction
Formats a Fraction number in proper format or improper format.
FractionFormat() - Constructor for class org.apache.commons.math.fraction.FractionFormat
Create an improper formatting instance with the default number format for the numerator and denominator.
FractionFormat(NumberFormat) - Constructor for class org.apache.commons.math.fraction.FractionFormat
Create an improper formatting instance with a custom number format for both the numerator and denominator.
FractionFormat(NumberFormat, NumberFormat) - Constructor for class org.apache.commons.math.fraction.FractionFormat
Create an improper formatting instance with a custom number format for the numerator and a custom number format for the denominator.
fractionMatrixToRealMatrix(FieldMatrix<Fraction>) - Static method in class org.apache.commons.math.linear.MatrixUtils
Convert a FieldMatrix/Fraction matrix to a RealMatrix.
FRandomVariable - Class in jhplot.math.num.random
A random variable generator for the F distribution.
FRandomVariable() - Constructor for class jhplot.math.num.random.FRandomVariable
Default constructor.
FRandomVariable(double, double) - Constructor for class jhplot.math.num.random.FRandomVariable
Create a random variable with the given numerator degrees of freedom and denominator degrees of freedom.
FRandomVariable(double, double, RNG) - Constructor for class jhplot.math.num.random.FRandomVariable
Create a random variable with the given parameters.
Frequency - Class in org.apache.commons.math.stat
Maintains a frequency distribution.
Frequency() - Constructor for class org.apache.commons.math.stat.Frequency
Default constructor.
Frequency(Comparator<?>) - Constructor for class org.apache.commons.math.stat.Frequency
Constructor allowing values Comparator to be specified.
fromXML(String) - Static method in class jhplot.io.Serialized
Get object to XML using XSream package
FTuple - Interface in hep.aida.ref.tuple
 
fTuple() - Method in interface hep.aida.ref.tuple.HasFTuple
 
fTuple() - Method in class hep.aida.ref.tuple.TupleColumn.TupleColumnFolder
 
FTupleAdapter - Class in hep.aida.ref.tuple
 
FTupleAdapter(ITuple) - Constructor for class hep.aida.ref.tuple.FTupleAdapter
 
FTupleColumn - Interface in hep.aida.ref.tuple
 
FTupleCursor - Interface in hep.aida.ref.tuple
 
FTupleEvent - Interface in hep.aida.ref.tuple
 
fullPathKey - Static variable in class hep.aida.ref.Annotation
 
func(F1D) - Method in class jhplot.P0D
Transform P0D array to array with values given by a function.
func(String, F1D) - Method in class jhplot.P0D
Make transformation of P0D using a function.
func(F1D) - Method in class jhplot.P0I
Transform P0I array to array with values given by a function.
func(String, F1D) - Method in class jhplot.P0I
Make transformation of P0I using a function.
funcF() - Method in class jhplot.HPlot
Return FunctionFactory associated with the plot
funcF() - Method in class jhplot.HPlotJa
Return FunctionFactory associated with the plot
function(int) - Method in class hep.aida.ref.function.SumOfFunctions
 
Function - Interface in jhplot.math
BSD License
Function - Interface in jhplot.math.num
A single variable function.
FunctionCatalog - Class in hep.aida.ref.function
 
functionChanged(FunctionChangedEvent) - Method in interface hep.aida.ref.function.FunctionListener
 
FunctionChangedEvent - Class in hep.aida.ref.function
 
FunctionChangedEvent(int) - Constructor for class hep.aida.ref.function.FunctionChangedEvent
 
FunctionCore - Class in hep.aida.ref.function
 
FunctionCore(int, int) - Constructor for class hep.aida.ref.function.FunctionCore
 
FunctionCore(int, int, double[]) - Constructor for class hep.aida.ref.function.FunctionCore
 
FunctionCoreListener - Interface in hep.aida.ref.function
 
FunctionCreator - Class in hep.aida.ref.function
Singleton class that is used by FunctionFactory and FunctionCatalog to create functions from codelet strings.
FunctionCreator() - Constructor for class hep.aida.ref.function.FunctionCreator
 
FunctionDispatcher - Interface in hep.aida.ref.function
 
FunctionEvaluationException - Exception in org.apache.commons.math
Exception thrown when an error occurs evaluating a function.
FunctionEvaluationException(double) - Constructor for exception org.apache.commons.math.FunctionEvaluationException
Construct an exception indicating the argument value that caused the function evaluation to fail.
FunctionEvaluationException(double[]) - Constructor for exception org.apache.commons.math.FunctionEvaluationException
Construct an exception indicating the argument value that caused the function evaluation to fail.
FunctionEvaluationException(double, String, Object...) - Constructor for exception org.apache.commons.math.FunctionEvaluationException
Constructs an exception with specified formatted detail message.
FunctionEvaluationException(double, Localizable, Object...) - Constructor for exception org.apache.commons.math.FunctionEvaluationException
Constructs an exception with specified formatted detail message.
FunctionEvaluationException(double[], String, Object...) - Constructor for exception org.apache.commons.math.FunctionEvaluationException
Constructs an exception with specified formatted detail message.
FunctionEvaluationException(double[], Localizable, Object...) - Constructor for exception org.apache.commons.math.FunctionEvaluationException
Constructs an exception with specified formatted detail message.
FunctionEvaluationException(Throwable, double) - Constructor for exception org.apache.commons.math.FunctionEvaluationException
Constructs an exception with specified root cause.
FunctionEvaluationException(Throwable, double[]) - Constructor for exception org.apache.commons.math.FunctionEvaluationException
Constructs an exception with specified root cause.
FunctionEvaluationException(Throwable, double, String, Object...) - Constructor for exception org.apache.commons.math.FunctionEvaluationException
Constructs an exception with specified formatted detail message and root cause.
FunctionEvaluationException(Throwable, double, Localizable, Object...) - Constructor for exception org.apache.commons.math.FunctionEvaluationException
Constructs an exception with specified formatted detail message and root cause.
FunctionEvaluationException(Throwable, double[], String, Object...) - Constructor for exception org.apache.commons.math.FunctionEvaluationException
Constructs an exception with specified formatted detail message and root cause.
FunctionEvaluationException(Throwable, double[], Localizable, Object...) - Constructor for exception org.apache.commons.math.FunctionEvaluationException
Constructs an exception with specified formatted detail message and root cause.
FunctionFactory - Class in hep.aida.ref.function
 
FunctionFactory(ITree) - Constructor for class hep.aida.ref.function.FunctionFactory
Create a new FunctionFactory.
FunctionIntegrator - Class in hep.aida.ref.function
 
FunctionIntegrator() - Constructor for class hep.aida.ref.function.FunctionIntegrator
Creates a new instance of FunctionIntegrator
FunctionListener - Interface in hep.aida.ref.function
 
FunctionUtils - Class in hep.aida.ref.function
 
FunctionUtils() - Constructor for class hep.aida.ref.function.FunctionUtils
 
functionValue(double[]) - Method in class hep.aida.ref.function.AbstractDevModelFunction
 
functionValue(double[]) - Method in class hep.aida.ref.function.BaseModelFunction
 
functionValue(double[]) - Method in class hep.aida.ref.function.ExponentialCoreNorm
 
functionValue(double[]) - Method in class hep.aida.ref.function.ExponentialCoreNotNorm
 
functionValue(double[]) - Method in class hep.aida.ref.function.ExponentModelFunction
 
functionValue(double[]) - Method in class hep.aida.ref.function.FunctionCore
 
functionValue(double[]) - Method in class hep.aida.ref.function.GaussianCore2DNorm
 
functionValue(double[]) - Method in class hep.aida.ref.function.GaussianCore2DNotNorm
 
functionValue(double[]) - Method in class hep.aida.ref.function.GaussianCoreNorm
 
functionValue(double[]) - Method in class hep.aida.ref.function.GaussianCoreNotNorm
 
functionValue(double[]) - Method in class hep.aida.ref.function.IFunctionCoreNotNorm
 
functionValue(double[]) - Method in class hep.aida.ref.function.JELFunctionCore
 
functionValue(double[]) - Method in class hep.aida.ref.function.LorentzianCoreNotNorm
 
functionValue(double[]) - Method in class hep.aida.ref.function.MoyalCoreNotNorm
 
functionValue(double[]) - Method in class hep.aida.ref.function.PolynomialCoreNorm
 
functionValue(double[]) - Method in class hep.aida.ref.function.PolynomialCoreNotNorm
 
functionValue(double[]) - Method in class hep.aida.ref.function.PolynomialModelFunction
 

G

g(double, double[]) - Method in interface org.apache.commons.math.ode.events.EventHandler
Compute the value of the switching function.
g(double, double[], double[][], double[][]) - Method in interface org.apache.commons.math.ode.jacobians.EventHandlerWithJacobians
Deprecated. Compute the value of the switching function.
Gamma - Class in jhplot.math.num.pdf
The Gamma distribution (1).
Gamma() - Constructor for class jhplot.math.num.pdf.Gamma
Default constructor.
Gamma(double, double) - Constructor for class jhplot.math.num.pdf.Gamma
Create a distribution with the given alpha and beta values.
Gamma - Class in jhplot.math.num.special
Utility class that provides methods related to the gamma family of functions.
Gamma - Class in org.apache.commons.math.special
This is a utility class that provides computation methods related to the Gamma family of functions.
GAMMA - Static variable in class org.apache.commons.math.special.Gamma
Euler-Mascheroni constant
GammaDistribution - Interface in org.apache.commons.math.distribution
The Gamma Distribution.
GammaDistributionImpl - Class in org.apache.commons.math.distribution
The default implementation of GammaDistribution.
GammaDistributionImpl(double, double) - Constructor for class org.apache.commons.math.distribution.GammaDistributionImpl
Create a new gamma distribution with the given alpha and beta values.
GammaDistributionImpl(double, double, double) - Constructor for class org.apache.commons.math.distribution.GammaDistributionImpl
Create a new gamma distribution with the given alpha and beta values.
GammaRandomVariable - Class in jhplot.math.num.random
A random variable generator for the Gamma distribution.
GammaRandomVariable() - Constructor for class jhplot.math.num.random.GammaRandomVariable
Default constructor.
GammaRandomVariable(double, double) - Constructor for class jhplot.math.num.random.GammaRandomVariable
Create a random variable with the given alpha and beta values.
GammaRandomVariable(double, double, RNG) - Constructor for class jhplot.math.num.random.GammaRandomVariable
Create a random variable with the given parameters.
GArc(float, float, float, float, float, float) - Static method in class jhplot.jadraw.Diagram
Get a g-line object
Gauss - Class in jhplot.fit
Gaussian distribution.
Gauss() - Constructor for class jhplot.fit.Gauss
 
Gauss(String) - Constructor for class jhplot.fit.Gauss
 
Gauss(String[], String[]) - Constructor for class jhplot.fit.Gauss
 
gaussian4(int, F1D, double, double) - Static method in class jhplot.math.Numeric
Numerical integration using the Gaussian integration formula (4 points).
gaussian8(int, F1D, double, double) - Static method in class jhplot.math.Numeric
Numerical integration using the Gaussian integration formula (8 points).
GAUSSIAN_MODE - Static variable in class org.apache.commons.math.random.ValueServer
Gaussian random deviates with mean = μ, std dev = σ.
GaussianBinError - Class in hep.aida.ref.dataset.binner
This class calculates the error on the bin assuming a gaussian distribution.
GaussianBinError() - Constructor for class hep.aida.ref.dataset.binner.GaussianBinError
 
GaussianCore2DNorm - Class in hep.aida.ref.function
Not normalised Gaussian 2D (G2) distribution in the form: f = (1/N)*exp(-(x-meanX)^2/(2*sigmaX^2))*exp(-(y-meanY)^2/(2*sigmaY^2)) has 4 parameters Normalization Amplitude is calculated by the "normalizationAmplitude" method
GaussianCore2DNorm(String) - Constructor for class hep.aida.ref.function.GaussianCore2DNorm
 
GaussianCore2DNorm(String, double[]) - Constructor for class hep.aida.ref.function.GaussianCore2DNorm
 
GaussianCore2DNotNorm - Class in hep.aida.ref.function
Not normalised Gaussian 2D (G2) distribution in the form: f = (amplitude)*exp(-(x-meanX)^2/(2*sigmaX^2))*exp(-(y-meanY)^2/(2*sigmaY^2)) has 5 parameters
GaussianCore2DNotNorm(String) - Constructor for class hep.aida.ref.function.GaussianCore2DNotNorm
 
GaussianCore2DNotNorm(String, double[]) - Constructor for class hep.aida.ref.function.GaussianCore2DNotNorm
 
GaussianCoreNorm - Class in hep.aida.ref.function
Not normalised Gaussian (G) distribution in the form: f = (1/N)*exp(-(x-mean)^2/(2*sigma^2)) has 2 parameters Normalization Amplitude is calculated by the "normalizationAmplitude" method
GaussianCoreNorm(String) - Constructor for class hep.aida.ref.function.GaussianCoreNorm
 
GaussianCoreNorm(String, double[]) - Constructor for class hep.aida.ref.function.GaussianCoreNorm
 
GaussianCoreNotNorm - Class in hep.aida.ref.function
Not normalised Gaussian (G) distribution in the form: f = amplitude*exp(-(x-mean)^2/(2*sigma^2)) has 3 parameters
GaussianCoreNotNorm(String) - Constructor for class hep.aida.ref.function.GaussianCoreNotNorm
 
GaussianCoreNotNorm(String, double[]) - Constructor for class hep.aida.ref.function.GaussianCoreNotNorm
 
GaussianDerivativeFunction - Class in org.apache.commons.math.optimization.fitting
The derivative of GaussianFunction.
GaussianDerivativeFunction(double, double, double) - Constructor for class org.apache.commons.math.optimization.fitting.GaussianDerivativeFunction
Constructs an instance with the specified parameters.
GaussianDerivativeFunction(double[]) - Constructor for class org.apache.commons.math.optimization.fitting.GaussianDerivativeFunction
Constructs an instance with the specified parameters.
GaussianFitter - Class in org.apache.commons.math.optimization.fitting
Fits points to a Gaussian function (that is, a GaussianFunction).
GaussianFitter(DifferentiableMultivariateVectorialOptimizer) - Constructor for class org.apache.commons.math.optimization.fitting.GaussianFitter
Constructs an instance using the specified optimizer.
GaussianFunction - Class in org.apache.commons.math.optimization.fitting
A Gaussian function.
GaussianFunction(double, double, double, double) - Constructor for class org.apache.commons.math.optimization.fitting.GaussianFunction
Constructs an instance with the specified parameters.
GaussianFunction(double[]) - Constructor for class org.apache.commons.math.optimization.fitting.GaussianFunction
Constructs an instance with the specified parameters.
GaussianParametersGuesser - Class in org.apache.commons.math.optimization.fitting
Guesses the parameters (a, b, c, and d) of a ParametricGaussianFunction based on the specified observed points.
GaussianParametersGuesser(WeightedObservedPoint[]) - Constructor for class org.apache.commons.math.optimization.fitting.GaussianParametersGuesser
Constructs instance with the specified observed points.
GaussianRandomGenerator - Class in org.apache.commons.math.random
This class is a gaussian normalized random generator for scalars.
GaussianRandomGenerator(RandomGenerator) - Constructor for class org.apache.commons.math.random.GaussianRandomGenerator
Create a new generator.
GaussNewtonEstimator - Class in org.apache.commons.math.estimation
Deprecated. as of 2.0, everything in package org.apache.commons.math.estimation has been deprecated and replaced by package org.apache.commons.math.optimization.general
GaussNewtonEstimator() - Constructor for class org.apache.commons.math.estimation.GaussNewtonEstimator
Deprecated. Simple constructor with default settings.
GaussNewtonEstimator(int, double, double) - Constructor for class org.apache.commons.math.estimation.GaussNewtonEstimator
Deprecated. Simple constructor.
GaussNewtonOptimizer - Class in org.apache.commons.math.optimization.general
Gauss-Newton least-squares solver.
GaussNewtonOptimizer(boolean) - Constructor for class org.apache.commons.math.optimization.general.GaussNewtonOptimizer
Simple constructor with default settings.
gcd(int, int) - Static method in class org.apache.commons.math.util.MathUtils
Gets the greatest common divisor of the absolute value of two numbers, using the "binary gcd" method which avoids division and modulo operations.
gcd(long, long) - Static method in class org.apache.commons.math.util.MathUtils
Gets the greatest common divisor of the absolute value of two numbers, using the "binary gcd" method which avoids division and modulo operations.
geData() - Method in class jhplot.HChart
Returns the current data object
generatePoint() - Method in class hep.aida.ref.function.RangeSet
 
GenericFactory - Class in hep.aida.ref
 
GenericFactory(String) - Constructor for class hep.aida.ref.GenericFactory
 
GeneticAlgorithm - Class in org.apache.commons.math.genetics
Implementation of a genetic algorithm.
GeneticAlgorithm(CrossoverPolicy, double, MutationPolicy, double, SelectionPolicy) - Constructor for class org.apache.commons.math.genetics.GeneticAlgorithm
 
Geometric - Class in jhplot.math.num.pdf
The Geometric distribution.
Geometric() - Constructor for class jhplot.math.num.pdf.Geometric
Default constructor.
Geometric(double) - Constructor for class jhplot.math.num.pdf.Geometric
Create a distribution with the given probability of success.
GeometricMean - Class in org.apache.commons.math.stat.descriptive.moment
Returns the geometric mean of the available values.
GeometricMean() - Constructor for class org.apache.commons.math.stat.descriptive.moment.GeometricMean
Create a GeometricMean instance
GeometricMean(GeometricMean) - Constructor for class org.apache.commons.math.stat.descriptive.moment.GeometricMean
Copy constructor, creates a new GeometricMean identical to the original
GeometricMean(SumOfLogs) - Constructor for class org.apache.commons.math.stat.descriptive.moment.GeometricMean
Create a GeometricMean instance using the given SumOfLogs instance
geometricMean(double[]) - Static method in class org.apache.commons.math.stat.StatUtils
Returns the geometric mean of the entries in the input array, or Double.NaN if the array is empty.
geometricMean(double[], int, int) - Static method in class org.apache.commons.math.stat.StatUtils
Returns the geometric mean of the entries in the specified portion of the input array, or Double.NaN if the designated subarray is empty.
GeometricRandomVariable - Class in jhplot.math.num.random
A random variable generator for the Geometric distribution.
GeometricRandomVariable() - Constructor for class jhplot.math.num.random.GeometricRandomVariable
Default constructor.
GeometricRandomVariable(double) - Constructor for class jhplot.math.num.random.GeometricRandomVariable
Create a random variable with the given probability of success.
GeometricRandomVariable(double, RNG) - Constructor for class jhplot.math.num.random.GeometricRandomVariable
Create a random variable with the given parameters.
get() - Method in class jhplot.H1D
Get JAIDA histogram
get() - Method in class jhplot.H2D
Get the JAIDA Histogram2D
get() - Method in class jhplot.HProf1D
Get JAIDA histogram
get() - Method in class jhplot.HProf2D
Get the JAIDA Profile2D
get(String) - Method in class jhplot.io.FileAida
Get object associated with the key name
get(String) - Method in class jhplot.io.FileRoot
Get object associated with the key name in the current directory.
get(String) - Method in class jhplot.io.HDataBase
Get object from the database using a key
get(int) - Method in class jhplot.math.num.DoubleArray
Access the element at the given index.
get(int, String) - Method in class jhplot.P0D
Get P0D with values below, above or equal a specified value.
get(int) - Method in class jhplot.P0D
Return a specific value at ith position.
get(int, String) - Method in class jhplot.P0I
Get P0I with values below, above or equal a specified value.
get(int) - Method in class jhplot.P0I
Return a specific value at ith position.
get(int) - Method in class jhplot.PND
Return a specific row as array
get(int, int) - Method in class jhplot.PND
Return a specific value.
get(int) - Method in class jhplot.PNI
Return a specific row as array
get(int, int) - Method in class jhplot.PNI
Return a specific value.
get() - Method in class jhplot.security.MD5
Returns 32-character hex representation of this objects hash
Get - Class in jminhep.cluster
Some useful methods related to the clustering procedure
Get() - Constructor for class jminhep.cluster.Get
 
get(int) - Method in class org.apache.commons.math.util.OpenIntToDoubleHashMap
Get the stored value associated with the given key
get(int) - Method in class org.apache.commons.math.util.OpenIntToFieldHashMap
Get the stored value associated with the given key
get3sProbability() - Method in class jhpro.stat.ConfidenceLevel
Get 3s probability.
get5sProbability() - Method in class jhpro.stat.ConfidenceLevel
Get 5s probability.
getA() - Method in class org.apache.commons.math.optimization.fitting.GaussianFunction
Gets a parameter value.
getA1() - Method in class org.apache.commons.math.geometry.RotationOrder
Get the axis of the first rotation.
getA2() - Method in class org.apache.commons.math.geometry.RotationOrder
Get the axis of the second rotation.
getA3() - Method in class org.apache.commons.math.geometry.RotationOrder
Get the axis of the second rotation.
getAbsoluteAccuracy() - Method in interface org.apache.commons.math.ConvergingAlgorithm
Deprecated. Get the actual absolute accuracy.
getAbsoluteAccuracy() - Method in class org.apache.commons.math.ConvergingAlgorithmImpl
Deprecated. Get the actual absolute accuracy.
getAbsoluteAccuracy() - Method in class org.apache.commons.math.optimization.MultiStartUnivariateRealOptimizer
Get the actual absolute accuracy.
getAll() - Method in class jhplot.io.FileAida
Get list of all objects
getAllH1D() - Method in class jhplot.HBook
Get array with all H1D histograms.
getAllH2D() - Method in class jhplot.HBook
Get array with all H2D histograms.
getAllign() - Method in class jhplot.jadraw.JaLatexText
Returns the allign property of this text object.
getAllNames(String) - Method in class jhplot.io.FileAida
Get list of all objects
getAllNames() - Method in class jhplot.io.FileAida
Get list of all objects
getAllP1D() - Method in class jhplot.HBook
Get array with all P1D containers.
getAllParameters() - Method in interface org.apache.commons.math.estimation.EstimationProblem
Deprecated. Get all the parameters of the problem.
getAllParameters() - Method in class org.apache.commons.math.estimation.SimpleEstimationProblem
Deprecated. Get all the parameters of the problem.
getAllTypes() - Method in class jhplot.io.FileAida
Get list of all types
getAllTypes(String) - Method in class jhplot.io.FileAida
Get list of all types
getAlpha() - Method in class jhplot.bsom.Bsom
 
getAlpha() - Method in class jhplot.HBsom
Get alpha
getAlpha() - Method in class jhplot.math.num.pdf.Beta
Access the alpha parameter.
getAlpha() - Method in class jhplot.math.num.pdf.Gamma
Access the alpha parameter.
getAlpha() - Method in interface org.apache.commons.math.distribution.BetaDistribution
Access the shape parameter, alpha
getAlpha() - Method in class org.apache.commons.math.distribution.BetaDistributionImpl
Access the shape parameter, alpha
getAlpha() - Method in interface org.apache.commons.math.distribution.GammaDistribution
Access the shape parameter, alpha
getAlpha() - Method in class org.apache.commons.math.distribution.GammaDistributionImpl
Access the shape parameter, alpha
getAlpha() - Method in class org.apache.commons.math.geometry.Vector3D
Get the azimuth of the vector.
getAmp() - Method in class jhplot.jadraw.JaArcObject
Returns the amp property of this arc object.
getAmp() - Method in class jhplot.jadraw.JaLineObject
Returns the amp property of this line object.
getAmp() - Method in class jhplot.jadraw.JaLoopObject
Returns the amp property of this loop object.
getAmplitude() - Method in class org.apache.commons.math.optimization.fitting.HarmonicFunction
Get the amplitude a.
getAngamp() - Method in class jhplot.jadraw.JaGlLine
Returns the angamp property of this JaGlLine.
getAngle() - Method in class jhpro.stat.EEcentricity
Returns angle of ellipse rotation (angle of the principial axis)
getAngle() - Method in class org.apache.commons.math.geometry.Rotation
Get the angle of the rotation.
getAngles(RotationOrder) - Method in class org.apache.commons.math.geometry.Rotation
Get the Cardan or Euler angles corresponding to the instance.
getAntiAlias() - Method in class jhplot.HPlot
Get antialiasing for the graphics of the current plot
getArcParameters() - Method in class jhplot.jadraw.JaArcObject
 
getArgument() - Method in class org.apache.commons.math.complex.Complex
Compute the argument of this complex number.
getArgument() - Method in exception org.apache.commons.math.exception.MathIllegalNumberException
 
getArgument() - Method in exception org.apache.commons.math.FunctionEvaluationException
Returns the function argument that caused this exception.
getArguments() - Method in exception org.apache.commons.math.exception.MathIllegalArgumentException
Gets the arguments used to build the message of this throwable.
getArguments() - Method in exception org.apache.commons.math.exception.MathIllegalStateException
Gets the arguments used to build the message of this throwable.
getArguments() - Method in interface org.apache.commons.math.exception.MathThrowable
Gets the arguments used to build the message of this throwable.
getArguments() - Method in exception org.apache.commons.math.exception.MathUnsupportedOperationException
Gets the arguments used to build the message of this throwable.
getArguments() - Method in exception org.apache.commons.math.MathException
Gets the arguments used to build the message of this throwable.
getArguments() - Method in exception org.apache.commons.math.MathRuntimeException
Gets the arguments used to build the message of this throwable.
getArity() - Method in class org.apache.commons.math.genetics.TournamentSelection
Gets the arity (number of chromosomes drawn to the tournament).
getArray() - Method in class jhplot.P0D
Get a double array with P0D values.
getArray() - Method in class jhplot.P0I
Get integer array with P0I values.
getArray() - Method in class jhplot.PND
Get a double array with values.
getArray() - Method in class jhplot.PNI
Get a double array with values.
getArray() - Method in class jminhep.cluster.DataHolder
Get the data in form of Array
getArrayDouble() - Method in class jhplot.P0I
Get a double array with P0I values.
getArrayInt() - Method in class jhplot.P0D
Get an integer array with P0D values.
getArrayList() - Method in class jhplot.HPlotJa
Get list of all objects on the frame.
getArrayList() - Method in class jhplot.P0D
Get data in form of ArrayList
getArrayList() - Method in class jhplot.P0I
Get data in form of ArrayList
getArrayList() - Method in class jhplot.PND
Get data in form of ArrayList
getArrayList() - Method in class jhplot.PNI
Get data in form of ArrayList
getArrayList() - Method in class jminhep.cluster.DataHolder
Get all elements of the data holder in form of an ArrayList
getArrayX() - Method in class jhplot.F1D
Get array of X-values after function after evaluation using the default number of points
getArrayX() - Method in class jhplot.P1D
Get array representing X-values
getArrayX() - Method in class jhplot.P2D
Get array representing X-values
getArrayX() - Method in class jhplot.P3D
Get array representing X-values
getArrayXleft() - Method in class jhplot.P1D
Get array representing X-left errors
getArrayXleftSys() - Method in class jhplot.P1D
Get array representing X-left 2nd level errors
getArrayXright() - Method in class jhplot.P1D
Get array representing X-right errors
getArrayXrightSys() - Method in class jhplot.P1D
Get array representing X-right 2nd level errors
getArrayY() - Method in class jhplot.F1D
Get array of Y-values after function after evaluation using the default number of points
getArrayY() - Method in class jhplot.P1D
Get array representing Y-values
getArrayY() - Method in class jhplot.P2D
Get array representing Y-values
getArrayY() - Method in class jhplot.P3D
Get array representing Y-values
getArrayYlower() - Method in class jhplot.P1D
Get array representing Y lower errors
getArrayYlowerSys() - Method in class jhplot.P1D
Get array representing Y lower 2nd level errors
getArrayYupper() - Method in class jhplot.P1D
Get array representing Y upper errors
getArrayYupperSys() - Method in class jhplot.P1D
Get array representing Y upper 2nd level errors
getArrayZ() - Method in class jhplot.P2D
Get array representing Z-values
getArrayZ() - Method in class jhplot.P3D
Get array representing Z-values
getArrow() - Method in class jhplot.jadraw.JaArcObject
Returns the arrow property of this arc object.
getArrow() - Method in class jhplot.jadraw.JaLineObject
Returns the arrow property of this line object.
getArrow() - Method in class jhplot.jadraw.JaLoopObject
Returns the arrow property of this loop object.
getAttribute(int) - Method in class jminhep.cluster.DataPoint
Returns the attribute of data point
getAuthor() - Static method in class jhplot.JHPlot
Get the author
getAv() - Method in class jhplot.stat.FactorialMoments
Return average multiplicity as a function of bin
getAvailableLocales() - Static method in class org.apache.commons.math.complex.ComplexFormat
Get the set of locales for which complex formats are available.
getAvailableLocales() - Static method in class org.apache.commons.math.fraction.BigFractionFormat
Get the set of locales for which complex formats are available.
getAvailableLocales() - Static method in class org.apache.commons.math.fraction.FractionFormat
Get the set of locales for which complex formats are available.
getAvailableLocales() - Static method in class org.apache.commons.math.geometry.Vector3DFormat
Get the set of locales for which 3D vectors formats are available.
getAvailableLocales() - Static method in class org.apache.commons.math.linear.RealVectorFormat
Get the set of locales for which real vectors formats are available.
getAverageCLs() - Method in class jhpro.stat.ConfidenceLevel
Get average CLs.
getAverageCLsb() - Method in class jhpro.stat.ConfidenceLevel
Get average CLsb.
getAxesArrow(int) - Method in class jhplot.jadraw.JaAxes
Is arrow to be shown
getAxesColor() - Method in class jhplot.HPlot
Returns the actual color of the axes of the graph.
getAxesFontColor() - Method in class jhplot.HPlot3D
Color for tic labels
getAxesRatio() - Method in class jhplot.HPlot
Returns the current ratio between X- and Y-axes lengths.
getAxesRatioUse() - Method in class jhplot.HPlot
Says whether we should use a fixed ratio between X- and Y-axes lengths.
getAxis() - Method in class jhplot.H1D
Get histogram Axis class.
getAxis(int) - Method in class jhplot.HPlot2D
Return axis objects
getAxis() - Method in class jhplot.HProf1D
Get histogram Axis class.
getAxis() - Method in class org.apache.commons.math.geometry.Rotation
Get the normalized axis of the rotation.
getAxisArrow() - Method in class jhplot.HPlot
Gets axis arrows.
getAxisFont() - Method in class jhplot.HPlot3D
Get font for axes
getAxisPenTicWidth() - Method in class jhplot.HPlot
Get the pen width to draw tick axes
getAxisTitle(int) - Method in class jhplot.HPlot2D
Get label title
getAxisX() - Method in class jhplot.H2D
Get IAxis in X
getAxisX() - Method in class jhplot.HProf2D
Get IAxis in X
getAxisY() - Method in class jhplot.H2D
Get IAxis in Y
getAxisY() - Method in class jhplot.HProf2D
Get IAxis in Y
getB() - Method in class org.apache.commons.math.optimization.fitting.GaussianFunction
Gets b parameter value.
getBack() - Method in class jhplot.jadraw.JaLineObject
Returns the back property of this line object.
getBack() - Method in class jhpro.stat.limit.ExpData
Get the expected background
getBackgColor() - Method in class jhplot.HPlot
Returns the actual background color of the entire graph panel.
getBackgColorGraph() - Method in class jhplot.HPlot
Returns the background color of the current graph.
getBackground() - Method in class jhpro.stat.DataSource
Get data for background
getBaseColor() - Method in class jhplot.v3d.Pyramid
 
getBatchNumber() - Method in class jhplot.HCellular
Returns the batch number
getBeta() - Method in class jhplot.bsom.Bsom
 
getBeta() - Method in class jhplot.HBsom
Get beta
getBeta() - Method in class jhplot.math.num.pdf.Beta
Access the beta parameter.
getBeta() - Method in class jhplot.math.num.pdf.Gamma
Access the beta parameter.
getBeta() - Method in interface org.apache.commons.math.distribution.BetaDistribution
Access the shape parameter, beta
getBeta() - Method in class org.apache.commons.math.distribution.BetaDistributionImpl
Access the shape parameter, beta
getBeta() - Method in interface org.apache.commons.math.distribution.GammaDistribution
Access the scale parameter, beta
getBeta() - Method in class org.apache.commons.math.distribution.GammaDistributionImpl
Access the scale parameter, beta
getBinCount() - Method in interface org.apache.commons.math.random.EmpiricalDistribution
Returns the number of bins.
getBinCount() - Method in class org.apache.commons.math.random.EmpiricalDistributionImpl
Returns the number of bins.
getBins() - Method in class jhplot.H1D
Get the number of bins
getBins() - Method in class jhplot.HProf1D
Get the number of bins
getBinSize() - Method in class jhplot.H1D
Get bin width in case of fixed-size bins.
getBinSize(int) - Method in class jhplot.H1D
Get bin width for index i
getBinSize() - Method in class jhplot.HProf1D
Get bin width in case of fixed-size bins.
getBinStats() - Method in interface org.apache.commons.math.random.EmpiricalDistribution
Returns a list of SummaryStatistics containing statistics describing the values in each of the bins.
getBinStats() - Method in class org.apache.commons.math.random.EmpiricalDistributionImpl
Returns a List of SummaryStatistics instances containing statistics describing the values in each of the bins.
getBinsX() - Method in class jhplot.H2D
Get the number of bins in X
getBinsX() - Method in class jhplot.HProf2D
Get the number of bins in X
getBinsY() - Method in class jhplot.H2D
Get the number of bins in Y
getBinsY() - Method in class jhplot.HProf2D
Get the number of bins in Y
getBinWidth() - Method in class jhplot.DrawOptions
get the bin width.
getBoolean(int) - Method in class hep.aida.ref.tuple.AbstractTuple
 
getBooleanProperty(int) - Method in class hep.aida.ref.tuple.JELTupleProvider
 
getBoundingBox() - Method in class jhplot.jadraw.JaLatexText
Returns the bounding box of this latex text object.
getBoundingBox() - Method in class jhplot.jadraw.JaObject
Returns the bounding box of this JaObject.
getBoundIsAllowed() - Method in exception org.apache.commons.math.exception.NumberIsTooLargeException
 
getBoundIsAllowed() - Method in exception org.apache.commons.math.exception.NumberIsTooSmallException
 
getBoxColor() - Method in class jhplot.HPlot
Returns the color used to draw the bounding box.
getBoxFillColor() - Method in class jhplot.HPlot
Returns the fill-color of the eventual bounding box arround the graph
getBoxOffset() - Method in class jhplot.HPlot
Returns the offset of the bounding box.
getBP(int) - Method in class jhplot.stat.BunchingParameters
Return results: BP as a function of number of bins.
getBufferSize() - Method in class jhplot.io.HFile
Get current buffer size for I/O.
getBufferSize() - Method in class jhplot.io.HFileXML
Get current buffer size for I/O.
getBuildTime() - Static method in class jhplot.JHPlot
Get build date
getByte(int) - Method in class hep.aida.ref.tuple.AbstractTuple
 
getByteProperty(int) - Method in class hep.aida.ref.tuple.JELTupleProvider
 
getC() - Method in class org.apache.commons.math.optimization.fitting.GaussianFunction
Gets c parameter value.
getCAConfig() - Method in class jhplot.HCellular
Returns used CA space.
getCameraPosition() - Method in class jhplot.HPlot3DP
Get camera position.
getCandidates() - Method in class jhpro.stat.DataSource
Get data with candidates
getCanvas() - Method in class jhplot.HZirkel
Return the actual canvas where all objects are shown
getCanvas(String, int, int, int, int) - Static method in class jhplot.SHPlot
Create HPlot canvas with several plots.
getCanvas(String, int, int) - Static method in class jhplot.SHPlot
Construct a HPlot canvas with a single plot.
getCanvas(String) - Static method in class jhplot.SHPlot
Construct a HPlot canvas with a plot with the default size 600x400.
getCanvas() - Static method in class jhplot.SHPlot
Construct a HPlot canvas with a plot with the default size 600x400.
getCanvas(String, int, int, int, int) - Static method in class jhplot.SHPlot3D
Create HPlot3D canvas with several plots.
getCanvas(String, int, int) - Static method in class jhplot.SHPlot3D
Construct a HPlot3D canvas with a single plot.
getCanvas(String) - Static method in class jhplot.SHPlot3D
Construct a HPlot3D canvas with a plot with the default size 600x400.
getCanvas() - Static method in class jhplot.SHPlot3D
Construct a HPlot3D canvas with a plot with the default size 600x400.
getCanvas(String, int, int, int, int, boolean) - Static method in class jhplot.SHPlotJa
Create HPlotJa canvas with several plots.
getCanvas(String, int, int, int, int) - Static method in class jhplot.SHPlotJa
Create HPlot canvas with several plots.
getCanvas(String, int, int) - Static method in class jhplot.SHPlotJa
Construct a HPlot canvas with a single plot.
getCanvas(String) - Static method in class jhplot.SHPlotJa
Construct a HPlot canvas with a plot with the default size 600x400.
getCanvas() - Static method in class jhplot.SHPlotJa
Construct a HPlotJa canvas with a plot with the default size 600x400.
getCanvasPanel() - Method in class jhplot.GHPanel
get JPanel for the main panel which keeps the central panel and all 4 margins
getCartesianArray() - Method in class hephysics.vec.SpacePoint
 
getCdX() - Method in class jhplot.GHFrame
Get location of the graph in the main canvas in X
getCdX() - Method in class jhplot.HPlotJa
Get location of the graph in the main canvas in X
getCdY() - Method in class jhplot.GHFrame
Get location of the graph on the main canvas in Y
getCdY() - Method in class jhplot.HPlotJa
Get location of the graph on the main canvas in Y
getCellSize() - Method in class jhplot.HCellular
Returns the cell size in dot
getCenter() - Method in class org.apache.commons.math.stat.clustering.Cluster
Get the point chosen to be the center of this cluster.
getCenters(int) - Method in class jhplot.stat.StatShape
Get the centers in non-quadrant method.
getCenters() - Method in class jminhep.cluster.Partition
Get cluster centers
getCenters() - Method in class org.apache.commons.math.analysis.polynomials.PolynomialFunctionNewtonForm
Returns a copy of the centers array.
getChar(int) - Method in class hep.aida.ref.tuple.AbstractTuple
 
getCharge() - Method in class hephysics.particle.LParticle
Get charge
getChargeParity() - Method in class hephysics.particle.HEParticle
Returns C charge conjugation parity
getCharProperty(int) - Method in class hep.aida.ref.tuple.JELTupleProvider
 
getChart() - Method in class jhplot.HChart
Returns current Chart
getChartPanel() - Method in class jhplot.HChart
Returns current Chart panel
getChi2() - Method in class jhplot.stat.LinRegWeighted
Get chi2
getChi2() - Method in class jhplot.stat.StatShape
Get Chi2 of this fit
getChiSquare(EstimationProblem) - Method in class org.apache.commons.math.estimation.AbstractEstimator
Deprecated. Get the Chi-Square value.
getChiSquare() - Method in class org.apache.commons.math.optimization.general.AbstractLeastSquaresOptimizer
Get a Chi-Square-like value assuming the N residuals follow N distinct normal distributions centered on 0 and whose variances are the reciprocal of the weights.
getChiSquareTest() - Static method in class org.apache.commons.math.stat.inference.TestUtils
Deprecated. 2.2 will be removed in 3.0
getChromosomes() - Method in class org.apache.commons.math.genetics.ListPopulation
Access the list of chromosomes.
getCLb() - Method in class jhpro.stat.ConfidenceLevel
Get the Confidence Level for the background only.
getCLb(boolean) - Method in class jhpro.stat.ConfidenceLevel
Get the Confidence Level for the background only.
getCLs() - Method in class jhpro.stat.ConfidenceLevel
Get the Confidence Level defined by CLs = CLsb/CLb.
getCLs(boolean) - Method in class jhpro.stat.ConfidenceLevel
Get the Confidence Level defined by CLs = CLsb/CLb.
getCLsb() - Method in class jhpro.stat.ConfidenceLevel
Get the Confidence Level for the signal plus background hypothesis The confidence level for excluding the possibility of simultaneous presence of new particle production and background (the s + b hypothesis)
getCLsb(boolean) - Method in class jhpro.stat.ConfidenceLevel
Get the Confidence Level for the signal plus background hypothesis
getClusterNumber() - Method in class jminhep.cluster.DataPoint
Returns the cluster to which the data point belongs
getCoefficients() - Method in class org.apache.commons.math.analysis.polynomials.PolynomialFunction
Returns a copy of the coefficients array.
getCoefficients() - Method in class org.apache.commons.math.analysis.polynomials.PolynomialFunctionLagrangeForm
Returns a copy of the coefficients array.
getCoefficients() - Method in class org.apache.commons.math.analysis.polynomials.PolynomialFunctionNewtonForm
Returns a copy of the coefficients array.
getCoefficients() - Method in class org.apache.commons.math.optimization.linear.LinearConstraint
Get the coefficients of the constraint (left hand side).
getCoefficients() - Method in class org.apache.commons.math.optimization.linear.LinearObjectiveFunction
Get the coefficients of the linear equation being optimized.
getColor() - Method in class jhplot.DrawOptions
Return color used for points/lines
getColor() - Method in class jhplot.HKey
Get color of a label.
getColor() - Method in class jhplot.HLabel
Get color of a label.
getColor() - Method in class jhplot.HLabelEq
Get color of the label.
getColor() - Method in class jhplot.HMLabel
Get color of the label.
getColor() - Method in class jhplot.jadraw.JaObject
Returns the color of this object.
getColor() - Method in class jhplot.shapes.HShape
Get a color of the primitive
getColor(int) - Static method in class jhplot.utils.ColorPixel
Return color from pixel color (integer compact value representing color in the ImageJ representation).
getColorBack() - Method in class jhplot.v3d.Canvas3d
 
getColorBackground() - Method in class jhplot.HLabelEq
Get color of background.
getColorBar() - Method in class jhplot.HPlot2D
Get color bar (key) for the current plot
getColorMode() - Method in class jhplot.HPlot3D
Get current the color mode
getColors() - Method in class jhplot.SPlot
Get the point colors.
getColumn(int) - Method in class jhplot.PND
Return a specific column as an array
getColumn(int) - Method in class jhplot.PNI
Return a specific column as an array
getColumn(int) - Method in class org.apache.commons.math.linear.AbstractFieldMatrix
Returns the entries in column number col as an array.
getColumn(int) - Method in class org.apache.commons.math.linear.AbstractRealMatrix
Returns the entries in column number col as an array.
getColumn(int) - Method in interface org.apache.commons.math.linear.BigMatrix
Deprecated. Returns the entries in column number col as an array.
getColumn(int) - Method in class org.apache.commons.math.linear.BigMatrixImpl
Deprecated. Returns the entries in column number col as an array.
getColumn(int) - Method in class org.apache.commons.math.linear.BlockFieldMatrix
Returns the entries in column number col as an array.
getColumn(int) - Method in class org.apache.commons.math.linear.BlockRealMatrix
Returns the entries in column number col as an array.
getColumn(int) - Method in interface org.apache.commons.math.linear.FieldMatrix
Returns the entries in column number col as an array.
getColumn(int) - Method in interface org.apache.commons.math.linear.RealMatrix
Returns the entries in column number col as an array.
getColumnAsDoubleArray(int) - Method in interface org.apache.commons.math.linear.BigMatrix
Deprecated. Returns the entries in column number col as an array of double values.
getColumnAsDoubleArray(int) - Method in class org.apache.commons.math.linear.BigMatrixImpl
Deprecated. Returns the entries in column number col as an array of double values.
getColumnCopy(double[][], int) - Static method in class jhplot.math.DoubleArray
Extract one column from a matrix.
getColumnCopy(double[][][], int, int) - Static method in class jhplot.math.DoubleArray
Extract one column from a three dimensional array.
getColumnCopy(int[][], int) - Static method in class jhplot.math.IntegerArray
 
getColumnCopy(int[][][], int, int) - Static method in class jhplot.math.IntegerArray
 
getColumnDimension(double[][], int) - Static method in class jhplot.math.DoubleArray
Get the number of columns in a specified row of a matrix.
getColumnDimension(int[][], int) - Static method in class jhplot.math.IntegerArray
 
getColumnDimension() - Method in class org.apache.commons.math.linear.AbstractFieldMatrix
Returns the number of columns in the matrix.
getColumnDimension() - Method in class org.apache.commons.math.linear.AbstractRealMatrix
Returns the number of columns in the matrix.
getColumnDimension() - Method in interface org.apache.commons.math.linear.AnyMatrix
Returns the number of columns in the matrix.
getColumnDimension() - Method in class org.apache.commons.math.linear.Array2DRowFieldMatrix
Returns the number of columns in the matrix.
getColumnDimension() - Method in class org.apache.commons.math.linear.Array2DRowRealMatrix
Returns the number of columns in the matrix.
getColumnDimension() - Method in class org.apache.commons.math.linear.BigMatrixImpl
Deprecated. Returns the number of columns in the matrix.
getColumnDimension() - Method in class org.apache.commons.math.linear.BlockFieldMatrix
Returns the number of columns in the matrix.
getColumnDimension() - Method in class org.apache.commons.math.linear.BlockRealMatrix
Returns the number of columns in the matrix.
getColumnDimension() - Method in class org.apache.commons.math.linear.OpenMapRealMatrix
Returns the number of columns in the matrix.
getColumnDimension() - Method in class org.apache.commons.math.linear.RealMatrixImpl
Deprecated. Returns the number of columns in the matrix.
getColumnDimension() - Method in class org.apache.commons.math.linear.SparseFieldMatrix
Returns the number of columns in the matrix.
getColumnMapping() - Method in class jhplot.io.csv.bean.ColumnPositionMappingStrategy
 
getColumnMapping() - Method in class jhplot.io.csv.bean.HeaderColumnNameTranslateMappingStrategy
 
getColumnMatrix(int) - Method in class org.apache.commons.math.linear.AbstractFieldMatrix
Returns the entries in column number column as a column matrix.
getColumnMatrix(int) - Method in class org.apache.commons.math.linear.AbstractRealMatrix
Returns the entries in column number column as a column matrix.
getColumnMatrix(int) - Method in interface org.apache.commons.math.linear.BigMatrix
Deprecated. Returns the entries in column number column as a column matrix.
getColumnMatrix(int) - Method in class org.apache.commons.math.linear.BigMatrixImpl
Deprecated. Returns the entries in column number column as a column matrix.
getColumnMatrix(int) - Method in class org.apache.commons.math.linear.BlockFieldMatrix
Returns the entries in column number column as a column matrix.
getColumnMatrix(int) - Method in class org.apache.commons.math.linear.BlockRealMatrix
Returns the entries in column number column as a column matrix.
getColumnMatrix(int) - Method in interface org.apache.commons.math.linear.FieldMatrix
Returns the entries in column number column as a column matrix.
getColumnMatrix(int) - Method in interface org.apache.commons.math.linear.RealMatrix
Returns the entries in column number column as a column matrix.
getColumnsCopy(double[][], int...) - Static method in class jhplot.math.DoubleArray
Extract specific columns from a matrix.
getColumnsCopy(int[][], int...) - Static method in class jhplot.math.IntegerArray
 
getColumnsRangeCopy(double[][], int, int) - Static method in class jhplot.math.DoubleArray
Extract a range of columns from a matrix.
getColumnsRangeCopy(int[][], int, int) - Static method in class jhplot.math.IntegerArray
 
getColumnVector(int) - Method in class org.apache.commons.math.linear.AbstractFieldMatrix
Returns the entries in column number column as a vector.
getColumnVector(int) - Method in class org.apache.commons.math.linear.AbstractRealMatrix
Returns the entries in column number column as a vector.
getColumnVector(int) - Method in class org.apache.commons.math.linear.BlockFieldMatrix
Returns the entries in column number column as a vector.
getColumnVector(int) - Method in class org.apache.commons.math.linear.BlockRealMatrix
Returns the entries in column number column as a vector.
getColumnVector(int) - Method in interface org.apache.commons.math.linear.FieldMatrix
Returns the entries in column number column as a vector.
getColumnVector(int) - Method in interface org.apache.commons.math.linear.RealMatrix
Returns the entries in column number column as a vector.
getCompactness() - Method in class jminhep.cluster.Partition
Get compactness of the cluster configurations
getConditionNumber() - Method in interface org.apache.commons.math.linear.SingularValueDecomposition
Return the condition number of the matrix.
getConditionNumber() - Method in class org.apache.commons.math.linear.SingularValueDecompositionImpl
Return the condition number of the matrix.
getConfidence() - Method in class jhplot.stat.LinReg
Get confidence intervals for means
getConfidence(Color) - Method in class jhplot.stat.LinReg
Get confidence intervals for means
getConfidenceBand(Color, double) - Method in class jhplot.stat.LinReg
Calculate confidence band in form of P1D with errors.
getConfidenceBand(int, Color, double) - Method in class jhplot.stat.LinReg
Calculate confidence band in form of P1D with errors.
getConstantTerm() - Method in class org.apache.commons.math.optimization.linear.LinearObjectiveFunction
Get the constant of the linear equation being optimized.
getConstruction() - Method in class jhplot.HZirkel
Get construction to draw the objects
getContourBinsX() - Method in class jhplot.HPlotJa
Number of contour bins in X
getContourBinsY() - Method in class jhplot.HPlotJa
Number of contour bins in Y
getContourBinX() - Method in class jhplot.jadraw.JaAxes
Get number of bins in X for contour plot
getContourBinY() - Method in class jhplot.jadraw.JaAxes
Get number of bins in Y for contour plot
getContourLevels() - Method in class jhplot.HPlotJa
Number of contour levels
getContourLevels() - Method in class jhplot.jadraw.JaAxes
Get the number of levels to show contour plot
getContractionCriteria() - Method in class org.apache.commons.math.util.ResizableDoubleArray
The contraction criteria defines when the internal array will contract to store only the number of elements in the element array.
getConvergence() - Method in class org.apache.commons.math.ode.events.EventState
Get the convergence threshold for event localization.
getConvergenceChecker() - Method in interface org.apache.commons.math.optimization.DifferentiableMultivariateRealOptimizer
Get the convergence checker.
getConvergenceChecker() - Method in interface org.apache.commons.math.optimization.DifferentiableMultivariateVectorialOptimizer
Get the convergence checker.
getConvergenceChecker() - Method in class org.apache.commons.math.optimization.direct.DirectSearchOptimizer
Get the convergence checker.
getConvergenceChecker() - Method in class org.apache.commons.math.optimization.general.AbstractLeastSquaresOptimizer
Get the convergence checker.
getConvergenceChecker() - Method in class org.apache.commons.math.optimization.general.AbstractScalarDifferentiableOptimizer
Get the convergence checker.
getConvergenceChecker() - Method in class org.apache.commons.math.optimization.MultiStartDifferentiableMultivariateRealOptimizer
Get the convergence checker.
getConvergenceChecker() - Method in class org.apache.commons.math.optimization.MultiStartDifferentiableMultivariateVectorialOptimizer
Get the convergence checker.
getConvergenceChecker() - Method in class org.apache.commons.math.optimization.MultiStartMultivariateRealOptimizer
Get the convergence checker.
getConvergenceChecker() - Method in interface org.apache.commons.math.optimization.MultivariateRealOptimizer
Get the convergence checker.
getCoordinate(int, int) - Method in class jhplot.stat.PCA
Positions of the last coordinates of the projection vectors (eigenvectors)
getCopy(double[], int...) - Static method in class jhplot.math.DoubleArray
Extract specific elements from an array.
getCopy(int[], int...) - Static method in class jhplot.math.IntegerArray
 
getCopy() - Method in class jhplot.P3D
get a copy of the current holder
getCorrelation() - Method in class jhplot.stat.LinReg
Get correlation coefficient
getCorrelationMatrix() - Method in class org.apache.commons.math.stat.correlation.PearsonsCorrelation
Returns the correlation matrix
getCorrelationMatrix() - Method in class org.apache.commons.math.stat.correlation.SpearmansCorrelation
Calculate the Spearman Rank Correlation Matrix.
getCorrelationPValues() - Method in class org.apache.commons.math.stat.correlation.PearsonsCorrelation
Returns a matrix of p-values associated with the (two-sided) null hypothesis that the corresponding correlation coefficient is zero.
getCorrelationStandardErrors() - Method in class org.apache.commons.math.stat.correlation.PearsonsCorrelation
Returns a matrix of standard errors associated with the estimates in the correlation matrix.
getCorrelationStandardErrors().getEntry(i,j) is the standard error associated with getCorrelationMatrix.getEntry(i,j)
getCostEvaluations() - Method in class org.apache.commons.math.estimation.AbstractEstimator
Deprecated. Get the number of cost evaluations.
getCount(Object) - Method in class org.apache.commons.math.stat.Frequency
Deprecated. replaced by Frequency.getCount(Comparable) as of 2.0
getCount(Comparable<?>) - Method in class org.apache.commons.math.stat.Frequency
Returns the number of values = v.
getCount(int) - Method in class org.apache.commons.math.stat.Frequency
Returns the number of values = v.
getCount(long) - Method in class org.apache.commons.math.stat.Frequency
Returns the number of values = v.
getCount(char) - Method in class org.apache.commons.math.stat.Frequency
Returns the number of values = v.
getCount(int...) - Method in class org.apache.commons.math.util.MultidimensionalCounter
Convert to unidimensional counter.
getCount() - Method in class org.apache.commons.math.util.MultidimensionalCounter.Iterator
Get the current unidimensional counter slot.
getCount(int) - Method in class org.apache.commons.math.util.MultidimensionalCounter.Iterator
Get the current count in the selected dimension.
getCounts(int) - Method in class org.apache.commons.math.util.MultidimensionalCounter
Convert to multidimensional counter.
getCounts() - Method in class org.apache.commons.math.util.MultidimensionalCounter.Iterator
Get the current multidimensional counter slots.
getCovariance() - Method in class jhplot.stat.PCA
Get covariance matrix
getCovariance() - Method in class jhplot.stat.StatShape
Get covariance matrix.
getCovariance(double) - Method in interface org.apache.commons.math.linear.SingularValueDecomposition
Returns the n × n covariance matrix.
getCovariance(double) - Method in class org.apache.commons.math.linear.SingularValueDecompositionImpl
Returns the n × n covariance matrix.
getCovariance() - Method in class org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics
Returns the covariance matrix of the values that have been added.
getCovariance() - Method in interface org.apache.commons.math.stat.descriptive.StatisticalMultivariateSummary
Returns the covariance of the available values.
getCovariance() - Method in class org.apache.commons.math.stat.descriptive.SynchronizedMultivariateSummaryStatistics
Returns the covariance matrix of the values that have been added.
getCovarianceMatrix() - Method in class org.apache.commons.math.stat.correlation.Covariance
Returns the covariance matrix
getCovariances(EstimationProblem) - Method in class org.apache.commons.math.estimation.AbstractEstimator
Deprecated. Get the covariance matrix of unbound estimated parameters.
getCovariances(EstimationProblem) - Method in interface org.apache.commons.math.estimation.Estimator
Deprecated. Get the covariance matrix of estimated parameters.
getCovariances() - Method in class org.apache.commons.math.optimization.general.AbstractLeastSquaresOptimizer
Get the covariance matrix of optimized parameters.
getCreatedBy() - Static method in class jhplot.JHPlot
Get JAVA version used to create
getCrossoverPolicy() - Method in class org.apache.commons.math.genetics.GeneticAlgorithm
Returns the crossover policy.
getCrossoverRate() - Method in class jhplot.HCellular
Returns the crossover rate
getCrossoverRate() - Method in class org.apache.commons.math.genetics.GeneticAlgorithm
Returns the crossover rate.
getCumFreq(Object) - Method in class org.apache.commons.math.stat.Frequency
Deprecated. replaced by Frequency.getCumFreq(Comparable) as of 2.0
getCumFreq(Comparable<?>) - Method in class org.apache.commons.math.stat.Frequency
Returns the cumulative frequency of values less than or equal to v.
getCumFreq(int) - Method in class org.apache.commons.math.stat.Frequency
Returns the cumulative frequency of values less than or equal to v.
getCumFreq(long) - Method in class org.apache.commons.math.stat.Frequency
Returns the cumulative frequency of values less than or equal to v.
getCumFreq(char) - Method in class org.apache.commons.math.stat.Frequency
Returns the cumulative frequency of values less than or equal to v.
getCumPct(Object) - Method in class org.apache.commons.math.stat.Frequency
Deprecated. replaced by Frequency.getCumPct(Comparable) as of 2.0
getCumPct(Comparable<?>) - Method in class org.apache.commons.math.stat.Frequency
Returns the cumulative percentage of values less than or equal to v (as a proportion between 0 and 1).
getCumPct(int) - Method in class org.apache.commons.math.stat.Frequency
Returns the cumulative percentage of values less than or equal to v (as a proportion between 0 and 1).
getCumPct(long) - Method in class org.apache.commons.math.stat.Frequency
Returns the cumulative percentage of values less than or equal to v (as a proportion between 0 and 1).
getCumPct(char) - Method in class org.apache.commons.math.stat.Frequency
Returns the cumulative percentage of values less than or equal to v (as a proportion between 0 and 1).
getCurDir() - Static method in class jhplot.HPlotJa
Returns the current working directory.
getCurrentSignedStepsize() - Method in class org.apache.commons.math.ode.AbstractIntegrator
Get the current signed value of the integration stepsize.
getCurrentSignedStepsize() - Method in class org.apache.commons.math.ode.jacobians.FirstOrderIntegratorWithJacobians
Deprecated. Get the current signed value of the integration stepsize.
getCurrentSignedStepsize() - Method in interface org.apache.commons.math.ode.ODEIntegrator
Get the current signed value of the integration stepsize.
getCurrentStepStart() - Method in class org.apache.commons.math.ode.AbstractIntegrator
Get the current value of the step start time ti.
getCurrentStepStart() - Method in class org.apache.commons.math.ode.jacobians.FirstOrderIntegratorWithJacobians
Deprecated. Get the current value of the step start time ti.
getCurrentStepStart() - Method in class org.apache.commons.math.ode.nonstiff.AdaptiveStepsizeIntegrator
Get the current value of the step start time ti.
getCurrentStepStart() - Method in interface org.apache.commons.math.ode.ODEIntegrator
Get the current value of the step start time ti.
getCurrentTime() - Method in interface org.apache.commons.math.ode.jacobians.StepInterpolatorWithJacobians
Deprecated. Get the current grid point time.
getCurrentTime() - Method in class org.apache.commons.math.ode.sampling.AbstractStepInterpolator
Get the current soft grid point time.
getCurrentTime() - Method in interface org.apache.commons.math.ode.sampling.StepInterpolator
Get the current grid point time.
getD() - Method in class jhplot.stat.PCA
Get transpose
getD() - Method in interface org.apache.commons.math.linear.EigenDecomposition
Returns the block diagonal matrix D of the decomposition.
getD() - Method in class org.apache.commons.math.linear.EigenDecompositionImpl
Returns the block diagonal matrix D of the decomposition.
getD() - Method in class org.apache.commons.math.optimization.fitting.GaussianFunction
Gets d parameter value.
getDash() - Method in class jhplot.jadraw.JaArcObject
Returns the dash property of this arc object.
getDash() - Method in class jhplot.jadraw.JaLineObject
Returns the dash property of this line object.
getDash() - Method in class jhplot.jadraw.JaLoopObject
Returns the dash property of this loop object.
getData() - Method in class jhplot.HNeuralNet
Get data
getData() - Method in class jhplot.HPlot
Get the vector which keeps all the data
getData() - Method in class jhplot.HPlotJa
Get the vector which keeps all the data
getData() - Method in class jhplot.jadraw.JaAxes
Get the vector which keeps all the data
getData() - Method in class jhplot.security.MD5
Get data as stream
getData(int) - Method in class jhplot.SPlot
Get the data in the specified dataset.
getData() - Method in class jhplot.stat.StatShape
Get data back used for fitting (can be inverted in Y and Y for best results).
getData() - Method in class jhplot.VHolder
Return a Vector with the data (rows of the dimension obtained by calling dimen()).
getData() - Method in class org.apache.commons.math.linear.AbstractFieldMatrix
Returns matrix entries as a two-dimensional array.
getData() - Method in class org.apache.commons.math.linear.AbstractRealMatrix
Returns matrix entries as a two-dimensional array.
getData() - Method in class org.apache.commons.math.linear.AbstractRealVector
Returns vector entries as a double array.
getData() - Method in class org.apache.commons.math.linear.Array2DRowFieldMatrix
Returns matrix entries as a two-dimensional array.
getData() - Method in class org.apache.commons.math.linear.Array2DRowRealMatrix
Returns matrix entries as a two-dimensional array.
getData() - Method in class org.apache.commons.math.linear.ArrayFieldVector
Returns vector entries as a T array.
getData() - Method in class org.apache.commons.math.linear.ArrayRealVector
Returns vector entries as a double array.
getData() - Method in interface org.apache.commons.math.linear.BigMatrix
Deprecated. Returns matrix entries as a two-dimensional array.
getData() - Method in class org.apache.commons.math.linear.BigMatrixImpl
Deprecated. Returns matrix entries as a two-dimensional array.
getData() - Method in class org.apache.commons.math.linear.BlockFieldMatrix
Returns matrix entries as a two-dimensional array.
getData() - Method in class org.apache.commons.math.linear.BlockRealMatrix
Returns matrix entries as a two-dimensional array.
getData() - Method in interface org.apache.commons.math.linear.FieldMatrix
Returns matrix entries as a two-dimensional array.
getData() - Method in interface org.apache.commons.math.linear.FieldVector
Returns vector entries as a T array.
getData() - Method in class org.apache.commons.math.linear.OpenMapRealVector
Returns vector entries as a double array.
getData() - Method in interface org.apache.commons.math.linear.RealMatrix
Returns matrix entries as a two-dimensional array.
getData() - Method in class org.apache.commons.math.linear.RealMatrixImpl
Deprecated. Returns matrix entries as a two-dimensional array.
getData() - Method in interface org.apache.commons.math.linear.RealVector
Returns vector entries as a double array.
getData() - Method in class org.apache.commons.math.linear.SparseFieldVector
Returns vector entries as a T array.
getData() - Method in class org.apache.commons.math.stat.descriptive.AbstractUnivariateStatistic
Get a copy of the stored data array.
getDataArray() - Method in class jhplot.P1D
Return a DataArray container from JPlot
getDataArray() - Method in class jhplot.P2D
Return a DataArray2D container.
getDataArray() - Method in class jhplot.P3D
Return a DataArray3D container.
getDataAsDoubleArray() - Method in interface org.apache.commons.math.linear.BigMatrix
Deprecated. Returns matrix entries as a two-dimensional array.
getDataAsDoubleArray() - Method in class org.apache.commons.math.linear.BigMatrixImpl
Deprecated. Returns matrix entries as a two-dimensional array.
getDataLength() - Method in class jhplot.io.RecordWriter
Returns the number of bytes in the data.
getDataLength() - Method in class jhplot.stat.LinReg
Get the size of the input data
getDataLength() - Method in class jhplot.stat.LinRegWeighted
Get the size of the input data
getDataRef() - Method in class org.apache.commons.math.linear.Array2DRowFieldMatrix
Returns a reference to the underlying data array.
getDataRef() - Method in class org.apache.commons.math.linear.Array2DRowRealMatrix
Returns a reference to the underlying data array.
getDataRef() - Method in class org.apache.commons.math.linear.ArrayFieldVector
Returns a reference to the underlying data array.
getDataRef() - Method in class org.apache.commons.math.linear.ArrayRealVector
Returns a reference to the underlying data array.
getDataRef() - Method in class org.apache.commons.math.linear.BigMatrixImpl
Deprecated. Returns a reference to the underlying data array.
getDataRef() - Method in class org.apache.commons.math.linear.RealMatrixImpl
Deprecated. Returns a reference to the underlying data array.
getDataSize() - Method in class jhpro.stat.limit.StatConfidence
Get number of experiments
getDataX() - Method in class jhplot.stat.LinReg
Get an array with X data
getDataX() - Method in class jhplot.stat.LinRegWeighted
Get an array with X data
getDataY() - Method in class jhplot.stat.LinReg
Get an array with Y data
getDataY() - Method in class jhplot.stat.LinRegWeighted
Get an array with Y data
getDegreesOfFreedom() - Method in class jhplot.math.num.pdf.ChiSquared
Access the degrees of freedom.
getDegreesOfFreedom() - Method in class jhplot.math.num.pdf.TDistribution
Access the degrees of freedom.
getDegreesOfFreedom() - Method in interface org.apache.commons.math.distribution.ChiSquaredDistribution
Access the degrees of freedom.
getDegreesOfFreedom() - Method in class org.apache.commons.math.distribution.ChiSquaredDistributionImpl
Access the degrees of freedom.
getDegreesOfFreedom() - Method in interface org.apache.commons.math.distribution.TDistribution
Access the degrees of freedom.
getDegreesOfFreedom() - Method in class org.apache.commons.math.distribution.TDistributionImpl
Access the degrees of freedom.
getDelta() - Method in class org.apache.commons.math.geometry.Vector3D
Get the elevation of the vector.
getDeltaTime() - Method in class jhplot.HCellular
Returns Delta time
getDenominator() - Method in class org.apache.commons.math.fraction.BigFraction
Access the denominator as a BigInteger.
getDenominator() - Method in class org.apache.commons.math.fraction.Fraction
Access the denominator.
getDenominatorAsInt() - Method in class org.apache.commons.math.fraction.BigFraction
Access the denominator as a int.
getDenominatorAsLong() - Method in class org.apache.commons.math.fraction.BigFraction
Access the denominator as a long.
getDenominatorDegreesOfFreedom() - Method in class jhplot.math.num.pdf.FDistribution
Access the denominator degrees of freedom.
getDenominatorDegreesOfFreedom() - Method in interface org.apache.commons.math.distribution.FDistribution
Access the denominator degrees of freedom.
getDenominatorDegreesOfFreedom() - Method in class org.apache.commons.math.distribution.FDistributionImpl
Access the denominator degrees of freedom.
getDenominatorFormat() - Method in class org.apache.commons.math.fraction.AbstractFormat
Access the denominator format.
getDensity() - Method in class jhplot.H1D
Get a density distribution dividing each bin of the histogram by the bin width and the total number of heights for all bins.
getDensity() - Method in class jhplot.H2D
Get a density distribution dividing each bin of the histogram by the bin width and the total number of heights for all bins.
getDerivative() - Method in class jhplot.math.num.root.NewtonRootFinder
Access the derivative of the target function.
getDeterminant() - Method in class org.apache.commons.math.linear.AbstractRealMatrix
Deprecated. 
getDeterminant() - Method in interface org.apache.commons.math.linear.BigMatrix
Deprecated. Returns the determinant of this matrix.
getDeterminant() - Method in class org.apache.commons.math.linear.BigMatrixImpl
Deprecated. Returns the determinant of this matrix.
getDeterminant() - Method in interface org.apache.commons.math.linear.CholeskyDecomposition
Return the determinant of the matrix
getDeterminant() - Method in class org.apache.commons.math.linear.CholeskyDecompositionImpl
Return the determinant of the matrix
getDeterminant() - Method in interface org.apache.commons.math.linear.EigenDecomposition
Return the determinant of the matrix
getDeterminant() - Method in class org.apache.commons.math.linear.EigenDecompositionImpl
Return the determinant of the matrix
getDeterminant() - Method in interface org.apache.commons.math.linear.FieldLUDecomposition
Return the determinant of the matrix
getDeterminant() - Method in class org.apache.commons.math.linear.FieldLUDecompositionImpl
Return the determinant of the matrix
getDeterminant() - Method in interface org.apache.commons.math.linear.LUDecomposition
Return the determinant of the matrix
getDeterminant() - Method in class org.apache.commons.math.linear.LUDecompositionImpl
Return the determinant of the matrix
getDeterminant() - Method in interface org.apache.commons.math.linear.RealMatrix
Deprecated. as of release 2.0, replaced by new LUDecompositionImpl(m).getDeterminant()
getDeviancePart(double, double) - Static method in class jhplot.math.num.pdf.SaddlePoint
A part of the deviance portion of the saddle point approximation.
getDiagonal(double[][], int) - Static method in class jhplot.math.DoubleArray
Extract diagonal from a matrix.
getDimension(String) - Static method in class hep.aida.ref.function.PolynomialCoreNotNorm
 
getDimension() - Method in class jhplot.PND
Get last dimension of the data.
getDimension() - Method in class jhplot.PNI
Get last dimension of the data.
getDimension() - Method in class jminhep.cluster.DataPoint
Get dimension of the point
getDimension() - Method in exception org.apache.commons.math.exception.DimensionMismatchException
 
getDimension() - Method in class org.apache.commons.math.linear.ArrayFieldVector
Returns the size of the vector.
getDimension() - Method in class org.apache.commons.math.linear.ArrayRealVector
Returns the size of the vector.
getDimension() - Method in interface org.apache.commons.math.linear.FieldVector
Returns the size of the vector.
getDimension() - Method in class org.apache.commons.math.linear.OpenMapRealVector
Returns the size of the vector.
getDimension() - Method in interface org.apache.commons.math.linear.RealVector
Returns the size of the vector.
getDimension() - Method in class org.apache.commons.math.linear.SparseFieldVector
Returns the size of the vector.
getDimension() - Method in class org.apache.commons.math.ode.FirstOrderConverter
Get the dimension of the problem.
getDimension() - Method in interface org.apache.commons.math.ode.FirstOrderDifferentialEquations
Get the dimension of the problem.
getDimension() - Method in interface org.apache.commons.math.ode.SecondOrderDifferentialEquations
Get the dimension of the problem.
getDimension() - Method in class org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics
Returns the dimension of the data
getDimension() - Method in interface org.apache.commons.math.stat.descriptive.StatisticalMultivariateSummary
Returns the dimension of the data
getDimension() - Method in class org.apache.commons.math.stat.descriptive.SynchronizedMultivariateSummaryStatistics
Returns the dimension of the data
getDimension() - Method in class org.apache.commons.math.util.MultidimensionalCounter
Get the number of dimensions of the multidimensional counter.
getDimension1() - Method in exception org.apache.commons.math.DimensionMismatchException
Deprecated. Get the first dimension
getDimension2() - Method in exception org.apache.commons.math.DimensionMismatchException
Deprecated. Get the second dimension
getDimention() - Method in class jminhep.cluster.DataHolder
Get the dimension of the data
getDirection() - Method in exception org.apache.commons.math.exception.NonMonotonousSequenceException
 
getDistance() - Method in class jhplot.HPlot3D
Get the distance
getDistance(RealVector) - Method in class org.apache.commons.math.linear.AbstractRealVector
Distance between two vectors.
getDistance(double[]) - Method in class org.apache.commons.math.linear.AbstractRealVector
Distance between two vectors.
getDistance(RealVector) - Method in class org.apache.commons.math.linear.ArrayRealVector
Distance between two vectors.
getDistance(double[]) - Method in class org.apache.commons.math.linear.ArrayRealVector
Distance between two vectors.
getDistance(ArrayRealVector) - Method in class org.apache.commons.math.linear.ArrayRealVector
Distance between two vectors.
getDistance(OpenMapRealVector) - Method in class org.apache.commons.math.linear.OpenMapRealVector
Optimized method to compute distance.
getDistance(RealVector) - Method in class org.apache.commons.math.linear.OpenMapRealVector
Distance between two vectors.
getDistance(double[]) - Method in class org.apache.commons.math.linear.OpenMapRealVector
Distance between two vectors.
getDistance(RealVector) - Method in interface org.apache.commons.math.linear.RealVector
Distance between two vectors.
getDistance(double[]) - Method in interface org.apache.commons.math.linear.RealVector
Distance between two vectors.
getDivU() - Method in class jhplot.FPR
Get number of divisions for U
getDivV() - Method in class jhplot.FPR
Get number of divisions for V
getDLSeparation() - Method in class jhplot.jadraw.JaArcObject
Returns the double line separation of this object.
getDLSeparation() - Method in class jhplot.jadraw.JaLineObject
Returns the double line property.
getDLSeparation() - Method in class jhplot.jadraw.JaLoopObject
Returns the double line property.
getDouble(int) - Method in class hep.aida.ref.tuple.AbstractTuple
 
getDoubleArrayList() - Method in class jhplot.P0D
Get data in form of DoubleArrayList from cern.colt package
getDoubleLine() - Method in class jhplot.jadraw.JaArcObject
Returns the double line property.
getDoubleLine() - Method in class jhplot.jadraw.JaLineObject
Returns the double line property.
getDoubleLine() - Method in class jhplot.jadraw.JaLoopObject
Returns the double line property.
getDoubleProperty(int) - Method in class hep.aida.ref.function.JELCompiledExpression.ValueProvider
 
getDoubleProperty(int) - Method in class hep.aida.ref.tuple.JELTupleProvider
 
getDrawOption() - Method in class jhplot.DrawOptions
Get the drawing attributes
getDrawOptions() - Method in class jhplot.DrawOptions
Get all drawing options in form of a string
getDuplicateAbscissa() - Method in exception org.apache.commons.math.DuplicateSampleAbscissaException
Get the duplicate abscissa.
getDX(int) - Method in class jhplot.P3D
Return a specific dX-value.
getDY(int) - Method in class jhplot.P3D
Return a specific dY-value.
getDZ(int) - Method in class jhplot.P3D
Return a specific dZ-value.
getE() - Method in class hephysics.vec.HepLorentzVector
Get energy (as e())
getE() - Method in class org.apache.commons.math.dfp.DfpField
Get the constant e.
getEccentricity() - Method in class jhpro.stat.EEcentricity
Get eccentricity, defined as 1-VarianceMin / VarianceMax.
getEigenvalue(int) - Method in class jhplot.stat.PCA
Information about eigenvalues
getEigenvalueTot(int) - Method in class jhplot.stat.PCA
Express eigenvalues as percentage of total
getEigenvector(int) - Method in interface org.apache.commons.math.linear.EigenDecomposition
Returns a copy of the ith eigenvector of the original matrix.
getEigenvector(int) - Method in class org.apache.commons.math.linear.EigenDecompositionImpl
Returns a copy of the ith eigenvector of the original matrix.
getElement(int) - Method in class jminhep.cluster.DataHolder
Get array of elements at position n of the data holder
getElement(int) - Method in class org.apache.commons.math.stat.descriptive.DescriptiveStatistics
Returns the element at the specified index
getElement(int) - Method in class org.apache.commons.math.stat.descriptive.SynchronizedDescriptiveStatistics
Returns the element at the specified index
getElement(int) - Method in interface org.apache.commons.math.util.DoubleArray
Returns the element at the specified index.
getElement(int) - Method in class org.apache.commons.math.util.ResizableDoubleArray
Returns the element at the specified index
getElements() - Method in interface org.apache.commons.math.util.DoubleArray
Returns a double[] array containing the elements of this DoubleArray.
getElements() - Method in class org.apache.commons.math.util.ResizableDoubleArray
Returns a double array containing the elements of this ResizableArray.
getElevationAngle() - Method in class jhplot.HPlot3D
Get the angle
getEliteSize() - Method in class jhplot.HCellular
Returns the populationSize
getElitismRate() - Method in class org.apache.commons.math.genetics.ElitisticListPopulation
Access the elitism rate.
getEmpiricalDistribution() - Method in class org.apache.commons.math.random.ValueServer
Getter for property empiricalDistribution.
getEnd() - Method in class jhplot.jadraw.JaArcObject
Returns the end property of this line object.
getEnd() - Method in class jhplot.jadraw.JaLineObject
Returns the end property of this line object.
getEndLength() - Method in class jhplot.shapes.Arrow
Get length of the ends
getEndWidth() - Method in class jhplot.shapes.Arrow
Get widths of the ends
getEntries() - Method in class jhplot.io.HFile
Return processed number of entries
getEntries() - Method in class jhplot.io.HFileXML
Get number of processed entries
getEntries() - Method in class jhplot.io.PFile
Return file entries (ID,name,size).
getEntropy() - Method in class jhplot.H1D
Returns the entropy of the histogram.
getEntropy() - Method in class jhplot.HProf1D
Returns the entropy of the histogram.
getEntry(int, int) - Method in class org.apache.commons.math.linear.AbstractFieldMatrix
Returns the entry in the specified row and column.
getEntry(int, int) - Method in class org.apache.commons.math.linear.AbstractRealMatrix
Returns the entry in the specified row and column.
getEntry(int, int) - Method in class org.apache.commons.math.linear.Array2DRowFieldMatrix
Returns the entry in the specified row and column.
getEntry(int, int) - Method in class org.apache.commons.math.linear.Array2DRowRealMatrix
Returns the entry in the specified row and column.
getEntry(int) - Method in class org.apache.commons.math.linear.ArrayFieldVector
Returns the entry in the specified index.
getEntry(int) - Method in class org.apache.commons.math.linear.ArrayRealVector
Returns the entry in the specified index.
getEntry(int, int) - Method in interface org.apache.commons.math.linear.BigMatrix
Deprecated. Returns the entry in the specified row and column.
getEntry(int, int) - Method in class org.apache.commons.math.linear.BigMatrixImpl
Deprecated. Returns the entry in the specified row and column.
getEntry(int, int) - Method in class org.apache.commons.math.linear.BlockFieldMatrix
Returns the entry in the specified row and column.
getEntry(int, int) - Method in class org.apache.commons.math.linear.BlockRealMatrix
Returns the entry in the specified row and column.
getEntry(int, int) - Method in interface org.apache.commons.math.linear.FieldMatrix
Returns the entry in the specified row and column.
getEntry(int) - Method in interface org.apache.commons.math.linear.FieldVector
Returns the entry in the specified index.
getEntry(int, int) - Method in class org.apache.commons.math.linear.OpenMapRealMatrix
Returns the entry in the specified row and column.
getEntry(int) - Method in class org.apache.commons.math.linear.OpenMapRealVector
Returns the entry in the specified index.
getEntry(int, int) - Method in interface org.apache.commons.math.linear.RealMatrix
Returns the entry in the specified row and column.
getEntry(int, int) - Method in class org.apache.commons.math.linear.RealMatrixImpl
Deprecated. Returns the entry in the specified row and column.
getEntry(int) - Method in interface org.apache.commons.math.linear.RealVector
Returns the entry in the specified index.
getEntry(int, int) - Method in class org.apache.commons.math.linear.SparseFieldMatrix
Returns the entry in the specified row and column.
getEntry(int) - Method in class org.apache.commons.math.linear.SparseFieldVector
Returns the entry in the specified index.
getEntryAsDouble(int, int) - Method in interface org.apache.commons.math.linear.BigMatrix
Deprecated. Returns the entry in the specified row and column as a double.
getEntryAsDouble(int, int) - Method in class org.apache.commons.math.linear.BigMatrixImpl
Deprecated. Returns the entry in the specified row and column as a double.
getEpochError() - Method in class jhplot.HNeuralNet
Returns errors for each epoch.
getErr() - Method in class jhplot.math.ValueErr
Get current error
getErrBack() - Method in class jhpro.stat.limit.ExpData
Get error on background
getErrFraction() - Method in class jhpro.stat.limit.ExpData
Get error on efficiency.
getError(int) - Method in class jhpro.stat.DataKeeper
Get error at index
getErrorNames() - Method in class jhpro.stat.DataSource
Get names of the errors
getErrorOnBackground() - Method in class jhpro.stat.DataSource
Get systematics on background for all channels
getErrorOnData() - Method in class jhpro.stat.DataSource
Get systematics on data for all channels
getErrorOnSignal() - Method in class jhpro.stat.DataSource
Get errors on signal on all channels
getErrors() - Method in class jhpro.stat.DataKeeper
 
getErrors() - Method in class jhpro.stat.Moments
Get errors on the moment calculations
getErrors() - Method in class jhpro.stat.MomentsFac
Get errors on the moment calculations.
getErrors() - Method in class jhpro.stat.MomentsFacNorm
Get errors on the factorial moment calculations.
getErrors() - Method in class jhpro.stat.MomentsNorm
Get errors on the factorial moment calculations.
getESplit() - Method in class org.apache.commons.math.dfp.DfpField
Get the constant e split in two pieces.
getEstimate() - Method in class org.apache.commons.math.estimation.EstimatedParameter
Deprecated. Get the current estimate of the parameter
getEta() - Method in class hephysics.vec.Hep3Vector
 
getEta() - Method in class hephysics.vec.HepLorentzVector
Get a pseudorapidity: eta=-ln (tan (theta/2)) )
getEvaluations() - Method in class org.apache.commons.math.ode.AbstractIntegrator
Get the number of evaluations of the differential equations function.
getEvaluations() - Method in class org.apache.commons.math.ode.jacobians.FirstOrderIntegratorWithJacobians
Deprecated. Get the number of evaluations of the differential equations function.
getEvaluations() - Method in interface org.apache.commons.math.ode.ODEIntegrator
Get the number of evaluations of the differential equations function.
getEvaluations() - Method in interface org.apache.commons.math.optimization.DifferentiableMultivariateRealOptimizer
Get the number of evaluations of the objective function.
getEvaluations() - Method in interface org.apache.commons.math.optimization.DifferentiableMultivariateVectorialOptimizer
Get the number of evaluations of the objective function.
getEvaluations() - Method in class org.apache.commons.math.optimization.direct.DirectSearchOptimizer
Get the number of evaluations of the objective function.
getEvaluations() - Method in class org.apache.commons.math.optimization.general.AbstractLeastSquaresOptimizer
Get the number of evaluations of the objective function.
getEvaluations() - Method in class org.apache.commons.math.optimization.general.AbstractScalarDifferentiableOptimizer
Get the number of evaluations of the objective function.
getEvaluations() - Method in class org.apache.commons.math.optimization.MultiStartDifferentiableMultivariateRealOptimizer
Get the number of evaluations of the objective function.
getEvaluations() - Method in class org.apache.commons.math.optimization.MultiStartDifferentiableMultivariateVectorialOptimizer
Get the number of evaluations of the objective function.
getEvaluations() - Method in class org.apache.commons.math.optimization.MultiStartMultivariateRealOptimizer
Get the number of evaluations of the objective function.
getEvaluations() - Method in class org.apache.commons.math.optimization.MultiStartUnivariateRealOptimizer
Get the number of evaluations of the objective function.
getEvaluations() - Method in interface org.apache.commons.math.optimization.MultivariateRealOptimizer
Get the number of evaluations of the objective function.
getEvaluations() - Method in class org.apache.commons.math.optimization.univariate.AbstractUnivariateRealOptimizer
Get the number of evaluations of the objective function.
getEvaluations() - Method in class org.apache.commons.math.optimization.univariate.BracketFinder
 
getEvaluations() - Method in interface org.apache.commons.math.optimization.UnivariateRealOptimizer
Get the number of evaluations of the objective function.
getEventHandler() - Method in class org.apache.commons.math.ode.events.EventState
Get the underlying event handler.
getEventHandlers() - Method in class org.apache.commons.math.ode.AbstractIntegrator
Get all the event handlers that have been added to the integrator.
getEventHandlers() - Method in class org.apache.commons.math.ode.jacobians.FirstOrderIntegratorWithJacobians
Deprecated. Get all the event handlers that have been added to the integrator.
getEventHandlers() - Method in interface org.apache.commons.math.ode.ODEIntegrator
Get all the event handlers that have been added to the integrator.
getEventsHandlers() - Method in class org.apache.commons.math.ode.events.CombinedEventsManager
Deprecated. Get all the events handlers that have been added to the manager.
getEventsStates() - Method in class org.apache.commons.math.ode.events.CombinedEventsManager
Deprecated. Get all the events state wrapping the handlers that have been added to the manager.
getEventTime() - Method in class org.apache.commons.math.ode.events.CombinedEventsManager
Deprecated. Get the occurrence time of the first event triggered in the last evaluated step.
getEventTime() - Method in class org.apache.commons.math.ode.events.EventState
Get the occurrence time of the event triggered in the current step.
getExpansionFactor() - Method in class org.apache.commons.math.util.ResizableDoubleArray
The expansion factor controls the size of a new array when an array needs to be expanded.
getExpansionMode() - Method in class org.apache.commons.math.util.ResizableDoubleArray
The expansionMode determines whether the internal storage array grows additively (ADDITIVE_MODE) or multiplicatively (MULTIPLICATIVE_MODE) when it is expanded.
getExpData() - Method in class jhpro.stat.limit.StatConfidence
Get experimental data
getExpectedCLb_b(int) - Method in class jhpro.stat.ConfidenceLevel
Get the expected Confidence Level for the background only if there is only background.
getExpectedCLb_b() - Method in class jhpro.stat.ConfidenceLevel
Get the expected Confidence Level for the background only if there is only background.These are indications of how well an experiment would do on average in excluding a signal if the signal truly is not present, and are the important figures of merit when optimizing an analysis for exclusion.
getExpectedCLb_sb(int) - Method in class jhpro.stat.ConfidenceLevel
Get the expected Confidence Level for the background only if there is signal and background.
getExpectedCLb_sb() - Method in class jhpro.stat.ConfidenceLevel
Get the expected Confidence Level for the background only if there is signal and background.
getExpectedCLs_b(int) - Method in class jhpro.stat.ConfidenceLevel
Get getExpectedCLsb_b/getExpectedCLb_b
getExpectedCLs_b() - Method in class jhpro.stat.ConfidenceLevel
Get getExpectedCLsb_b/getExpectedCLb_b.
getExpectedCLsb_b(int) - Method in class jhpro.stat.ConfidenceLevel
Get the expected Confidence Level for the signal plus background hypothesis if there is only background.
getExpectedCLsb_b() - Method in class jhpro.stat.ConfidenceLevel
Get the expected Confidence Level for the signal plus background hypothesis if there is only background.
getExpectedStatistic_b(int) - Method in class jhpro.stat.ConfidenceLevel
Get the expected statistic value in the background only hypothesis
getExpectedStatistic_b() - Method in class jhpro.stat.ConfidenceLevel
 
getExpectedStatistic_sb(int) - Method in class jhpro.stat.ConfidenceLevel
Get the expected statistic value in the signal plus background hypothesis
getExpForm() - Method in class jhplot.jadraw.JaAxes
Get exponential form
getExponent() - Method in interface org.apache.commons.math.distribution.ZipfDistribution
Get the exponent characterising the distribution.
getExponent() - Method in class org.apache.commons.math.distribution.ZipfDistributionImpl
Get the exponent characterising the distribution.
getExponent(double) - Static method in class org.apache.commons.math.util.FastMath
Return the exponent of a double number, removing the bias.
getExponent(float) - Static method in class org.apache.commons.math.util.FastMath
Return the exponent of a float number, removing the bias.
getEyePosition() - Method in class jhplot.HPlot3DP
Get a vector with eye position
getFaceColor(int) - Method in class jhplot.v3d.Pyramid
 
getFD() - Method in class jhplot.math.io.LERandomAccessFile
 
getFHi() - Method in class org.apache.commons.math.optimization.univariate.BracketFinder
Get function value at BracketFinder.getHi().
getField() - Method in class org.apache.commons.math.complex.Complex
Get the Field to which the instance belongs.
getField() - Method in class org.apache.commons.math.dfp.Dfp
Get the Field (really a DfpField) to which the instance belongs.
getField() - Method in interface org.apache.commons.math.FieldElement
Get the Field to which the instance belongs.
getField() - Method in class org.apache.commons.math.fraction.BigFraction
Get the Field to which the instance belongs.
getField() - Method in class org.apache.commons.math.fraction.Fraction
Get the Field to which the instance belongs.
getField() - Method in class org.apache.commons.math.linear.AbstractFieldMatrix
Get the type of field elements of the matrix.
getField() - Method in class org.apache.commons.math.linear.ArrayFieldVector
Get the type of field elements of the vector.
getField() - Method in interface org.apache.commons.math.linear.FieldMatrix
Get the type of field elements of the matrix.
getField() - Method in interface org.apache.commons.math.linear.FieldVector
Get the type of field elements of the vector.
getField() - Method in class org.apache.commons.math.linear.SparseFieldVector
Get the type of field elements of the vector.
getField() - Method in class org.apache.commons.math.util.BigReal
Get the Field to which the instance belongs.
getFilePointer() - Method in class jhplot.math.io.LERandomAccessFile
 
getFill() - Method in class jhplot.shapes.HShape
Is this primitive filled?
getFillColor() - Method in class jhplot.FPR
Get color used to fill.
getFillColor() - Method in class jhplot.jadraw.JaFillObject
Returns the fill color of the fillColor object.
getFillColor() - Method in class jhplot.jadraw.JaVertexT2
Returns the fill color of the fillColor object.
getFinalTime() - Method in class org.apache.commons.math.ode.ContinuousOutputModel
Get the final integration time.
getFirst() - Method in class org.apache.commons.math.genetics.ChromosomePair
Access the first chromosome.
getFirstIndex() - Method in interface hep.aida.ref.tuple.FTupleEvent
 
getFirstIndex() - Method in class hep.aida.ref.tuple.TupleEvent
 
getFitEngines() - Method in class jhplot.HFitter
Return available fit engines.
getFitFunction() - Method in class jhplot.stat.StatShape
Get a fit function after the linear regression (major axis).
getFitFunctionPerp() - Method in class jhplot.stat.StatShape
Get a fit function perpendicular to the linear regression line (minor axis).
getFitFunctionQuadrants() - Method in class jhplot.stat.StatShape
Get linear functions after rotation of major and minor axes by 45 deg to define the quadrants.
getFitMethod() - Method in class jhplot.HFitter
Return available fit methods.
getFitness() - Method in class org.apache.commons.math.genetics.Chromosome
Access the fitness of this chromosome.
getFitParameters() - Method in class jhplot.stat.StatShape
Get fit parameters, the intercept (0) and the slope (1)
getFitParametersPerp() - Method in class jhplot.stat.StatShape
Get fit parameters of a function perpendicular (minor) axis to the linear regression line the intercept (0) and the slope (1)
getFitParametersRotate() - Method in class jhplot.stat.StatShape
Parameters after rotation of major and minor axes by 45deg.
getFittedFunc() - Method in class jhplot.HFitter
Get results of the fit in form of function
getFitter() - Method in class jhplot.HFitter
Return Jaida fitter
getFittestChromosome() - Method in class org.apache.commons.math.genetics.ListPopulation
Access the fittest chromosome in this population.
getFittestChromosome() - Method in interface org.apache.commons.math.genetics.Population
Access the fittest chromosome in this population.
getFixedVars() - Method in class jhplot.FND
String with fixed variables
getFlags() - Method in class hep.aida.ref.event.TreeEvent
 
getFlip() - Method in class jhplot.jadraw.JaArcObject
Returns the flip property of this arc object.
getFlip() - Method in class jhplot.jadraw.JaLineObject
Returns the flip property of this line object.
getFlip() - Method in class jhplot.jadraw.JaLoopObject
Returns the flip property of this loop object.
getFloat(int) - Method in class hep.aida.ref.tuple.AbstractTuple
 
getFloatProperty(int) - Method in class hep.aida.ref.tuple.JELTupleProvider
 
getFLow() - Method in class org.apache.commons.math.optimization.univariate.BracketFinder
Get function value at BracketFinder.getLo().
getFM(int) - Method in class jhplot.stat.FactorialMoments
Return factorial moments (without normalization): log(FM) as a function of number of bins.
getFMid() - Method in class org.apache.commons.math.optimization.univariate.BracketFinder
Get function value at BracketFinder.getMid().
getFont() - Method in class jhplot.HKey
Get the font of the label text.
getFont() - Method in class jhplot.HLabel
Get the font of the label text.
getFont() - Method in class jhplot.HMLabel
Get the text font.
getFont() - Method in class jhplot.jadraw.JaKey
Returns the textFont property of this text object.
getFont() - Method in class jhplot.jadraw.JaText
Returns the textFont property of this text object.
getFont() - Method in class jhplot.jadraw.JaTextBox
Returns the textFont property of this text object.
getFont() - Method in class jhplot.shapes.Text
Get the font
getFontSize() - Method in class jhplot.HLabelEq
Get the font size of the equation.
getFormat() - Method in class org.apache.commons.math.geometry.Vector3DFormat
Get the components format.
getFormat() - Method in class org.apache.commons.math.linear.RealVectorFormat
Get the components format.
getFov() - Method in class jhplot.HPlot3DP
Get field of vision
getFraction() - Method in class jhpro.stat.limit.ExpData
Get efficiency.
getFrame() - Method in class jhplot.GHFrame
Get the main frame which keeps the components
getFrameColor() - Method in class jhplot.HPlot3D
Get color of the frame
getFreq() - Method in class jhplot.jadraw.JaArcObject
Returns the freq property of this arc object.
getFreq() - Method in class jhplot.jadraw.JaLineObject
Returns the freq property of this line object.
getFreq() - Method in class jhplot.jadraw.JaLoopObject
Returns the freq property of this loop object.
getFrobeniusNorm() - Method in class org.apache.commons.math.linear.AbstractRealMatrix
Returns the Frobenius norm of the matrix.
getFrobeniusNorm() - Method in class org.apache.commons.math.linear.BlockRealMatrix
Returns the Frobenius norm of the matrix.
getFrobeniusNorm() - Method in interface org.apache.commons.math.linear.RealMatrix
Returns the Frobenius norm of the matrix.
getFunc() - Method in class jhplot.HFitter
Return function
getFuncCatalog() - Method in class jhplot.HFitter
Return list of available functions
getFunction() - Method in class jhplot.math.num.integration.AdaptiveIntegrator
Access the target function.
getFunction() - Method in class jhplot.math.num.integration.RombergIntegrator
Access the target function.
getFunction() - Method in class jhplot.math.num.integration.SimpsonsIntegrator
Access the target function.
getFunction() - Method in class jhplot.math.num.integration.TrapezoidalIntegrator
Access the target function.
getFunction() - Method in class jhplot.math.num.root.BisectionRootFinder
Access the target function.
getFunction() - Method in class jhplot.math.num.root.Bracket
Access the target function.
getFunction() - Method in class jhplot.math.num.root.BrentRootFinder
Access the target function.
getFunction() - Method in class jhplot.math.num.root.FalsePositionRootFinder
Access the target function.
getFunction() - Method in class jhplot.math.num.root.NewtonRootFinder
Access the target function.
getFunction() - Method in class jhplot.math.num.root.SecantRootFinder
Access the target function.
getFunctionCatalog() - Static method in class hep.aida.ref.function.FunctionCatalog
 
getFunctionCatalog(String) - Static method in class hep.aida.ref.function.FunctionCatalog
 
getFunctionCreator() - Method in class hep.aida.ref.function.FunctionCatalog
 
getFunctionValue() - Method in interface org.apache.commons.math.analysis.solvers.UnivariateRealSolver
Get the result of the last run of the solver.
getFunctionValue() - Method in class org.apache.commons.math.analysis.solvers.UnivariateRealSolverImpl
Deprecated. Get the result of the last run of the solver.
getFunctionValue() - Method in class org.apache.commons.math.optimization.MultiStartUnivariateRealOptimizer
Get the result of the last run of the optimizer.
getFunctionValue() - Method in class org.apache.commons.math.optimization.univariate.AbstractUnivariateRealOptimizer
Get the result of the last run of the optimizer.
getFunctionValue() - Method in interface org.apache.commons.math.optimization.UnivariateRealOptimizer
Get the result of the last run of the optimizer.
getFunctionValueAccuracy() - Method in interface org.apache.commons.math.analysis.solvers.UnivariateRealSolver
Get the actual function value accuracy.
getFunctionValueAccuracy() - Method in class org.apache.commons.math.analysis.solvers.UnivariateRealSolverImpl
Deprecated. Get the actual function value accuracy.
getGBackground() - Method in class jhplot.GHMargin
Get the color of background
getGColor() - Method in class jhplot.GHMargin
Get the color of this panel
getGeneralPath() - Method in class jhplot.jadraw.JaObject
Returns the GeneralPath that draws this JaObject.
getGeneralPattern() - Method in exception org.apache.commons.math.exception.MathIllegalArgumentException
Gets the localizable pattern used to build the general part of the message of this throwable.
getGeneralPattern() - Method in exception org.apache.commons.math.exception.MathIllegalStateException
Gets the localizable pattern used to build the general part of the message of this throwable.
getGeneralPattern() - Method in interface org.apache.commons.math.exception.MathThrowable
Gets the localizable pattern used to build the general part of the message of this throwable.
getGeneralPattern() - Method in exception org.apache.commons.math.exception.MathUnsupportedOperationException
Gets the localizable pattern used to build the general part of the message of this throwable.
getGeneralPattern() - Method in exception org.apache.commons.math.MathException
Gets the localizable pattern used to build the general part of the message of this throwable.
getGeneralPattern() - Method in exception org.apache.commons.math.MathRuntimeException
Gets the localizable pattern used to build the general part of the message of this throwable.
getGenerationsEvolved() - Method in class org.apache.commons.math.genetics.GeneticAlgorithm
Returns the number of generations evolved to reach StoppingCondition in the last run.
getGenerator() - Method in class org.apache.commons.math.random.CorrelatedRandomVectorGenerator
Get the underlying normalized components generator.
getGeneratorUpperBounds() - Method in class org.apache.commons.math.random.EmpiricalDistributionImpl
Returns a fresh copy of the array of upper bounds of the subintervals of [0,1] used in generating data from the empirical distribution.
getGeoMeanImpl() - Method in class org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics
Returns the currently configured geometric mean implementation
getGeoMeanImpl() - Method in class org.apache.commons.math.stat.descriptive.SummaryStatistics
Returns the currently configured geometric mean implementation
getGeoMeanImpl() - Method in class org.apache.commons.math.stat.descriptive.SynchronizedMultivariateSummaryStatistics
Returns the currently configured geometric mean implementation
getGeoMeanImpl() - Method in class org.apache.commons.math.stat.descriptive.SynchronizedSummaryStatistics
Returns the currently configured geometric mean implementation
getGeometricMean() - Method in class org.apache.commons.math.stat.descriptive.AggregateSummaryStatistics
Returns the geometric mean of all the aggregated data.
getGeometricMean() - Method in class org.apache.commons.math.stat.descriptive.DescriptiveStatistics
Returns the geometric mean of the available values
getGeometricMean() - Method in class org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics
Returns an array whose ith entry is the geometric mean of the ith entries of the arrays that have been added using MultivariateSummaryStatistics.addValue(double[])
getGeometricMean() - Method in interface org.apache.commons.math.stat.descriptive.StatisticalMultivariateSummary
Returns an array whose ith entry is the geometric mean of the ith entries of the arrays that correspond to each multivariate sample
getGeometricMean() - Method in class org.apache.commons.math.stat.descriptive.SummaryStatistics
Returns the geometric mean of the values that have been added.
getGeometricMean() - Method in class org.apache.commons.math.stat.descriptive.SynchronizedMultivariateSummaryStatistics
Returns an array whose ith entry is the geometric mean of the ith entries of the arrays that have been added using MultivariateSummaryStatistics.addValue(double[])
getGeometricMean() - Method in class org.apache.commons.math.stat.descriptive.SynchronizedSummaryStatistics
Returns the geometric mean of the values that have been added.
getGeometricMeanImpl() - Method in class org.apache.commons.math.stat.descriptive.DescriptiveStatistics
Returns the currently configured geometric mean implementation.
getGFont() - Method in class jhplot.GHMargin
Get the font of the text
getGlobalCurrentTime() - Method in class org.apache.commons.math.ode.sampling.AbstractStepInterpolator
Get the current global grid point time.
getGlobalPreviousTime() - Method in class org.apache.commons.math.ode.sampling.AbstractStepInterpolator
Get the previous global grid point time.
getGoalOfHs() - Method in class jhplot.HCellular
Returns the crossover rate
getGoalType() - Method in class org.apache.commons.math.optimization.univariate.AbstractUnivariateRealOptimizer
 
getGrabbedHandle(int, int, int) - Method in class jhplot.jadraw.JaArcObject
Determines which handle the user has selected to move/resize/edit this arc.
getGrabbedHandle(int, int, int) - Method in class jhplot.jadraw.JaAxes
Determines where on this JaObject a mouse click has ocurred.
getGrabbedHandle(int, int, int) - Method in class jhplot.jadraw.JaBlob
Determines where on this JaObject a mouse click has ocurred.
getGrabbedHandle(int, int, int) - Method in class jhplot.jadraw.JaBox
Determines where on this JaObject a mouse click has ocurred.
getGrabbedHandle(int, int, int) - Method in class jhplot.jadraw.JaKey
Determines where on this JaObject a mouse click has ocurred.
getGrabbedHandle(int, int, int) - Method in class jhplot.jadraw.JaLatexText
Determines where on this JaObject a mouse click has ocurred.
getGrabbedHandle(int, int, int) - Method in class jhplot.jadraw.JaLineObject
Determines which handle the user has selected to move/resize/edit this line.
getGrabbedHandle(int, int, int) - Method in class jhplot.jadraw.JaLoopObject
Determines which handle the user has selected to move/resize/edit this loop.
getGrabbedHandle(int, int, int) - Method in class jhplot.jadraw.JaObject
Determines which handle the user has selected to move/resize/edit an object.
getGrabbedHandle(int, int, int) - Method in class jhplot.jadraw.JaText
Determines where on this JaObject a mouse click has ocurred.
getGrabbedHandle(int, int, int) - Method in class jhplot.jadraw.JaTextBox
Determines where on this JaObject a mouse click has ocurred.
getGrabbedHandle(int, int, int) - Method in class jhplot.jadraw.JaVertex
Determines which handle the user has selected to move/resize/edit this vertex.
getGrabbedHandle(int, int, int) - Method in class jhplot.jadraw.JaVertexT5
Determines which handle the user has selected to move/resize/edit this vertex.
getGradientEvaluations() - Method in interface org.apache.commons.math.optimization.DifferentiableMultivariateRealOptimizer
Get the number of evaluations of the objective function gradient.
getGradientEvaluations() - Method in class org.apache.commons.math.optimization.general.AbstractScalarDifferentiableOptimizer
Get the number of evaluations of the objective function gradient.
getGradientEvaluations() - Method in class org.apache.commons.math.optimization.MultiStartDifferentiableMultivariateRealOptimizer
Get the number of evaluations of the objective function gradient.
getGraph() - Method in class jhplot.HGraph
Returns the current graph
getGraphLabel() - Method in class jhplot.HKey
Get a label with default attributes
getGraphLabel() - Method in class jhplot.HLabel
Get a label with default attributes
getGraphLabel() - Method in class jhplot.HMLabel
Get a label with default attributes
getGraphSettings(int, int) - Method in class jhplot.HPlot
Get graph settings
getGraphSettings() - Method in class jhplot.HPlot
Get graph settings for current plot
getGrid() - Method in class jhplot.SPlot
Return whether the grid is drawn.
getGridColor() - Method in class jhplot.HPlot
Sets the color of the overall grid.
getGridColor() - Method in class jhplot.jadraw.JaAxes
Get grid color (gray is default)
getGTitle() - Method in class jhplot.HPlotJa
Get global title
getGuessedAmplitude() - Method in class org.apache.commons.math.optimization.fitting.HarmonicCoefficientsGuesser
Get the guessed amplitude a.
getGuessedPhase() - Method in class org.apache.commons.math.optimization.fitting.HarmonicCoefficientsGuesser
Get the guessed phase φ.
getGuessedPulsation() - Method in class org.apache.commons.math.optimization.fitting.HarmonicCoefficientsGuesser
Get the guessed pulsation ω.
getH() - Method in class jhplot.math.QRDecomposition
Return the Householder vectors
getH() - Method in interface org.apache.commons.math.linear.QRDecomposition
Returns the Householder reflector vectors.
getH() - Method in class org.apache.commons.math.linear.QRDecompositionImpl
Returns the Householder reflector vectors.
getH1D() - Method in class jhplot.F1D
Return H1D histogram from F1D function.
getH1D(String, int, double, double) - Method in class jhplot.F1D
Return a Histogram given by the F1D function.
getH1D(int) - Method in class jhplot.HBook
Get H1D histogram from the index (key)
getH1D() - Method in class jhplot.HProf1D
Make H1D copy of the current histogram.
getH1D(String) - Method in class jhplot.HProf1D
Convert to H1D for graphical representation using default graphics attributes.
getH1D(String, String) - Method in class jhplot.HProf1D
Convert to H1D for graphical representation using default graphics attributes.
getH1D(String) - Method in class jhplot.io.FileRoot
Get H1D histogram associated with the key name.
getH1D(int) - Method in class jhplot.P0D
Return H1D histogram with P0D content.
getH1D(int, double, double) - Method in class jhplot.P0D
Return H1D histogram with P0D content.
getH1D(int) - Method in class jhplot.P0I
Return H1D histogram with P0I content.
getH1D(int, double, double) - Method in class jhplot.P0I
Return H1D histogram with P0I content.
getH1D(int, Integer, Integer) - Method in class jhplot.P0I
Return H1D histogram with P0I content.
getH1D(int, double, double) - Method in class jhplot.PND
Return H1D histogram with PND content.
getH1D(int, double, double, int) - Method in class jhplot.PND
Make a histogram from a column of PND.
getH1D(int) - Method in class jhplot.PND
Create histogram.
getH1D(int, double, double) - Method in class jhplot.PNI
Return H1D histogram with PND content.
getH1D(int) - Method in class jhplot.PNI
Create histogram.
getH1D(int, double, double, int) - Method in class jhplot.PNI
Make a histogram from a column of PND.
getH2D(String, int, double, double, int, double, double) - Method in class jhplot.F2D
Generate a 2D histogram from the F2D function using a custom number of bins and given min and max values.
getH2D(int) - Method in class jhplot.HBook
Get H2D histogram from the index (key) ID
getH2D(String) - Method in class jhplot.HProf2D
Make H2D copy of the current histogram.
getH2D(String, String) - Method in class jhplot.HProf2D
Make H2D copy of the current histogram.
getH2D() - Method in class jhplot.HProf2D
Convert to H2D keeping the original title
getH2D(String) - Method in class jhplot.io.FileRoot
Get H2D histogram associated with the key name.
getHandles(double, double, double, double) - Method in class hep.aida.ref.function.ExponentialCoreNotNorm
 
getHandles(double, double, double, double) - Method in class hep.aida.ref.function.FunctionCore
 
getHandles(double, double, double, double) - Method in class hep.aida.ref.function.GaussianCoreNotNorm
 
getHandles(double, double, double, double) - Method in class hep.aida.ref.function.LorentzianCoreNotNorm
 
getHandles(double, double, double, double) - Method in class hep.aida.ref.function.MoyalCoreNotNorm
 
getHandles(double, double, double, double) - Method in class hep.aida.ref.function.PolynomialCoreNotNorm
 
getHeight() - Method in class jhplot.jadraw.JaObject
Returns the height of this object.
getHi() - Method in exception org.apache.commons.math.exception.OutOfRangeException
 
getHi() - Method in class org.apache.commons.math.optimization.univariate.BracketFinder
 
getHight() - Method in class jhplot.v3d.Model3d
 
getHTMLUrl(String) - Method in class jhplot.GHFrame
Returns a HTML page which is found in a valid image URL.
getID() - Method in class hep.aida.ref.event.TreeEvent
 
getIDataPointSet() - Method in class jhplot.P1D
Get IDataPointSet.
getIDataPointSet() - Method in class jhplot.PND
Get the data point set for JAIDA
getIDataPointSet() - Method in class jhplot.PNI
Get the data point set for JAIDA
getIEEEFlags() - Method in class org.apache.commons.math.dfp.DfpField
Get the IEEE 854 status flags.
getIFunction() - Method in class jhplot.F1D
Return AIDA function
getImage() - Method in class jhplot.HLabelEq
Return image of this equation
getImageFile(String) - Method in class jhplot.HLabelEq
Return image of this equation as a file.
getImagEigenvalue(int) - Method in interface org.apache.commons.math.linear.EigenDecomposition
Returns the imaginary part of the ith eigenvalue of the original matrix.
getImagEigenvalue(int) - Method in class org.apache.commons.math.linear.EigenDecompositionImpl
Returns the imaginary part of the ith eigenvalue of the original matrix.
getImagEigenvalues() - Method in interface org.apache.commons.math.linear.EigenDecomposition
Returns a copy of the imaginary parts of the eigenvalues of the original matrix.
getImagEigenvalues() - Method in class org.apache.commons.math.linear.EigenDecompositionImpl
Returns a copy of the imaginary parts of the eigenvalues of the original matrix.
getImaginary() - Method in class org.apache.commons.math.complex.Complex
Access the imaginary part.
getImaginaryCharacter() - Method in class org.apache.commons.math.complex.ComplexFormat
Access the imaginaryCharacter.
getImaginaryFormat() - Method in class org.apache.commons.math.complex.ComplexFormat
Access the imaginaryFormat.
getImproperInstance() - Static method in class org.apache.commons.math.fraction.BigFractionFormat
Returns the default complex format for the current locale.
getImproperInstance(Locale) - Static method in class org.apache.commons.math.fraction.BigFractionFormat
Returns the default complex format for the given locale.
getImproperInstance() - Static method in class org.apache.commons.math.fraction.FractionFormat
Returns the default complex format for the current locale.
getImproperInstance(Locale) - Static method in class org.apache.commons.math.fraction.FractionFormat
Returns the default complex format for the given locale.
getIndex(int) - Method in class jhplot.math.Sorting
Get the ascending order of one line.
getIndex() - Method in class jhplot.math.Sorting
Get the ascending order of all lines.
getIndex() - Method in exception org.apache.commons.math.exception.NonMonotonousSequenceException
Get the index of the wrong value.
getIndex() - Method in class org.apache.commons.math.linear.RealVector.Entry
Get the index of the entry.
getInflip() - Method in class jhplot.jadraw.JaLineObject
Returns the inflip property of this line object.
getInfo() - Method in class jhplot.io.FileRoot
Get the StreamerInfo
getInfo() - Static method in class jhplot.JHPlot
 
getInitialTime() - Method in class org.apache.commons.math.ode.ContinuousOutputModel
Get the initial integration time.
getInitString() - Method in class jhplot.HCellular
Return initialization string
getInnerColor() - Method in class jhplot.HPlot
Returns the color used to fill the shaded triangles.
getInstance() - Static method in class org.apache.commons.math.complex.ComplexField
Get the unique instance.
getInstance() - Static method in class org.apache.commons.math.complex.ComplexFormat
Returns the default complex format for the current locale.
getInstance(Locale) - Static method in class org.apache.commons.math.complex.ComplexFormat
Returns the default complex format for the given locale.
getInstance() - Static method in class org.apache.commons.math.fraction.BigFractionField
Get the unique instance.
getInstance() - Static method in class org.apache.commons.math.fraction.FractionField
Get the unique instance.
getInstance() - Static method in class org.apache.commons.math.geometry.Vector3DFormat
Returns the default 3D vector format for the current locale.
getInstance(Locale) - Static method in class org.apache.commons.math.geometry.Vector3DFormat
Returns the default 3D vector format for the given locale.
getInstance() - Static method in class org.apache.commons.math.linear.RealVectorFormat
Returns the default real vector format for the current locale.
getInstance(Locale) - Static method in class org.apache.commons.math.linear.RealVectorFormat
Returns the default real vector format for the given locale.
getInstance(int) - Static method in class org.apache.commons.math.ode.nonstiff.AdamsNordsieckTransformer
Get the Nordsieck transformer for a given number of steps.
getInstance() - Static method in class org.apache.commons.math.ode.sampling.DummyStepHandler
Get the only instance.
getInstance() - Static method in class org.apache.commons.math.util.BigRealField
Get the unique instance.
getInt(int) - Method in class hep.aida.ref.tuple.AbstractTuple
 
getIntArrayList() - Method in class jhplot.P0I
Get data in form of IntArrayList from cern.colt package
getIntegerArrayList() - Method in class jhplot.P0I
Get data in form of DoubleArrayList from cern.colt package
getIntegral() - Method in class jhpro.stat.DataKeeper
Calculate integral, summing up all values
getIntercept() - Method in class jhplot.stat.LinReg
Get Intercept
getIntercept() - Method in class jhplot.stat.LinRegWeighted
Get Intercept
getIntercept() - Method in class org.apache.commons.math.stat.regression.SimpleRegression
Returns the intercept of the estimated regression line.
getInterceptError() - Method in class jhplot.stat.LinReg
Get the standard error on intercept
getInterceptError() - Method in class jhplot.stat.LinRegWeighted
Get the standard error on intercept
getInterceptStdErr() - Method in class org.apache.commons.math.stat.regression.SimpleRegression
Returns the standard error of the intercept estimate, usually denoted s(b0).
getInternalValues() - Method in class org.apache.commons.math.util.ResizableDoubleArray
Returns the internal storage array.
getInterpolatedDerivatives() - Method in class org.apache.commons.math.ode.sampling.AbstractStepInterpolator
Get the derivatives of the state vector of the interpolated point.
getInterpolatedDerivatives() - Method in interface org.apache.commons.math.ode.sampling.StepInterpolator
Get the derivatives of the state vector of the interpolated point.
getInterpolatedDyDp() - Method in interface org.apache.commons.math.ode.jacobians.StepInterpolatorWithJacobians
Deprecated. Get the partial derivatives of the state vector with respect to the ODE parameters of the interpolated point.
getInterpolatedDyDpDot() - Method in interface org.apache.commons.math.ode.jacobians.StepInterpolatorWithJacobians
Deprecated. Get the time derivatives of the jacobian of the state vector with respect to the ODE parameters of the interpolated point.
getInterpolatedDyDy0() - Method in interface org.apache.commons.math.ode.jacobians.StepInterpolatorWithJacobians
Deprecated. Get the partial derivatives of the state vector with respect to the initial state of the interpolated point.
getInterpolatedDyDy0Dot() - Method in interface org.apache.commons.math.ode.jacobians.StepInterpolatorWithJacobians
Deprecated. Get the time derivatives of the jacobian of the state vector with respect to the initial state of the interpolated point.
getInterpolatedState() - Method in class org.apache.commons.math.ode.ContinuousOutputModel
Get the state vector of the interpolated point.
getInterpolatedState() - Method in class org.apache.commons.math.ode.sampling.AbstractStepInterpolator
Get the state vector of the interpolated point.
getInterpolatedState() - Method in interface org.apache.commons.math.ode.sampling.StepInterpolator
Get the state vector of the interpolated point.
getInterpolatedStateVariation() - Method in class org.apache.commons.math.ode.sampling.NordsieckStepInterpolator
Get the state vector variation from current to interpolated state.
getInterpolatedTime() - Method in class org.apache.commons.math.ode.ContinuousOutputModel
Get the time of the interpolated point.
getInterpolatedTime() - Method in interface org.apache.commons.math.ode.jacobians.StepInterpolatorWithJacobians
Deprecated. Get the time of the interpolated point.
getInterpolatedTime() - Method in class org.apache.commons.math.ode.sampling.AbstractStepInterpolator
Get the time of the interpolated point.
getInterpolatedTime() - Method in interface org.apache.commons.math.ode.sampling.StepInterpolator
Get the time of the interpolated point.
getInterpolatedY() - Method in interface org.apache.commons.math.ode.jacobians.StepInterpolatorWithJacobians
Deprecated. Get the state vector of the interpolated point.
getInterpolatedYDot() - Method in interface org.apache.commons.math.ode.jacobians.StepInterpolatorWithJacobians
Deprecated. Get the time derivatives of the state vector of the interpolated point.
getInterpolatingPoints() - Method in class org.apache.commons.math.analysis.polynomials.PolynomialFunctionLagrangeForm
Returns a copy of the interpolating points array.
getInterpolatingValues() - Method in class org.apache.commons.math.analysis.polynomials.PolynomialFunctionLagrangeForm
Returns a copy of the interpolating values array.
getIntProperty(int) - Method in class hep.aida.ref.tuple.JELTupleProvider
 
getInverse() - Method in interface org.apache.commons.math.linear.DecompositionSolver
Get the inverse (or pseudo-inverse) of the decomposed matrix.
getInverse() - Method in interface org.apache.commons.math.linear.FieldDecompositionSolver
Get the inverse (or pseudo-inverse) of the decomposed matrix.
getIsospin() - Method in class hephysics.particle.HEParticle
Get isospin
getIterationCount() - Method in interface org.apache.commons.math.ConvergingAlgorithm
Deprecated. Get the number of iterations in the last run of the algorithm.
getIterationCount() - Method in class org.apache.commons.math.ConvergingAlgorithmImpl
Deprecated. Get the number of iterations in the last run of the algorithm.
getIterationCount() - Method in class org.apache.commons.math.optimization.MultiStartUnivariateRealOptimizer
Get the number of iterations in the last run of the algorithm.
getIterations() - Method in interface jhplot.math.num.IterativeMethod.IterativeState
Access the current iteration.
getIterations() - Method in interface org.apache.commons.math.optimization.DifferentiableMultivariateRealOptimizer
Get the number of iterations realized by the algorithm.
getIterations() - Method in interface org.apache.commons.math.optimization.DifferentiableMultivariateVectorialOptimizer
Get the number of iterations realized by the algorithm.
getIterations() - Method in class org.apache.commons.math.optimization.direct.DirectSearchOptimizer
Get the number of iterations realized by the algorithm.
getIterations() - Method in class org.apache.commons.math.optimization.general.AbstractLeastSquaresOptimizer
Get the number of iterations realized by the algorithm.
getIterations() - Method in class org.apache.commons.math.optimization.general.AbstractScalarDifferentiableOptimizer
Get the number of iterations realized by the algorithm.
getIterations() - Method in class org.apache.commons.math.optimization.linear.AbstractLinearOptimizer
Get the number of iterations realized by the algorithm.
getIterations() - Method in interface org.apache.commons.math.optimization.linear.LinearOptimizer
Get the number of iterations realized by the algorithm.
getIterations() - Method in class org.apache.commons.math.optimization.MultiStartDifferentiableMultivariateRealOptimizer
Get the number of iterations realized by the algorithm.
getIterations() - Method in class org.apache.commons.math.optimization.MultiStartDifferentiableMultivariateVectorialOptimizer
Get the number of iterations realized by the algorithm.
getIterations() - Method in class org.apache.commons.math.optimization.MultiStartMultivariateRealOptimizer
Get the number of iterations realized by the algorithm.
getIterations() - Method in interface org.apache.commons.math.optimization.MultivariateRealOptimizer
Get the number of iterations realized by the algorithm.
getIterations() - Method in class org.apache.commons.math.optimization.univariate.BracketFinder
 
getIterator(int[], Object[]) - Static method in class jhplot.math.SortUtils
Answer iterator, which iterates over specified data array according to the specified permutation, that is data[p[0]],..,data[p[data.length-1]]
getIterator(int[], List) - Static method in class jhplot.math.SortUtils
Answer iterator, which iterates over specified data list according to the specified permutation, that is data.get(p[0]),..,data.get(p[data.length-1])
getITree() - Method in class jhplot.io.FileAida
Return ITree for further manipulations
getJaAxes() - Method in class jhplot.HPlotJa
Get the current JaAxes frame
getJacobianEvaluations() - Method in class org.apache.commons.math.estimation.AbstractEstimator
Deprecated. Get the number of jacobian evaluations.
getJacobianEvaluations() - Method in interface org.apache.commons.math.optimization.DifferentiableMultivariateVectorialOptimizer
Get the number of evaluations of the objective function jacobian .
getJacobianEvaluations() - Method in class org.apache.commons.math.optimization.general.AbstractLeastSquaresOptimizer
Get the number of evaluations of the objective function jacobian .
getJacobianEvaluations() - Method in class org.apache.commons.math.optimization.MultiStartDifferentiableMultivariateVectorialOptimizer
Get the number of evaluations of the objective function jacobian .
getJPanel() - Method in class jhplot.GHMargin
Return JPanel of this margin
getJPlot(int, int) - Method in class jhplot.HPlot
Get jplots for each graph
getJPlot() - Method in class jhplot.HPlot
Get jplots for each graph for current graph
getKey(int) - Method in class jhplot.io.FileRoot
Get a key using its index.
getKey(String) - Method in class jhplot.io.FileRoot
Get a key
getKey() - Method in class jhplot.io.RecordWriter
 
getKey() - Method in class jhplot.jadraw.JaKey
Get current key symbol.
getKeyColor() - Method in class jhplot.HKey
Get key color
getKeyColor() - Method in class jhplot.jadraw.JaKey
Get key color
getKeys() - Method in class jhplot.io.FileRoot
Return all keys of the current directory as a list.
getKeys() - Method in class jhplot.io.HDataBase
Returns an enumeration of all the keys in the database.
getKeysH1D() - Method in class jhplot.HBook
Get keys of all known H1D histograms.
getKeysH2D() - Method in class jhplot.HBook
Get keys of all known H2D histograms.
getKeySize() - Method in class jhplot.HKey
Get key size
getKeysP1D() - Method in class jhplot.HBook
Get keys of all known P1D containers.
getKeySpace() - Method in class jhplot.HKey
Get a space between the key and the text describing the key
getKeySpace() - Method in class jhplot.jadraw.JaKey
Get space between a text and the key
getKeyTextSpace() - Method in class jhplot.HPlotJa
Get current space between the key symbol and the text for legends
getKeyType() - Method in class jhplot.HKey
Get key type
getKnots() - Method in class org.apache.commons.math.analysis.polynomials.PolynomialSplineFunction
Returns an array copy of the knot points.
getKurtosis() - Method in class org.apache.commons.math.stat.descriptive.DescriptiveStatistics
Returns the Kurtosis of the available values.
getKurtosisImpl() - Method in class org.apache.commons.math.stat.descriptive.DescriptiveStatistics
Returns the currently configured kurtosis implementation.
getL() - Method in class jhplot.math.CholeskyDecomposition
Return triangular factor.
getL() - Method in class jhplot.math.LUDecomposition
Return lower triangular factor
getL() - Method in interface org.apache.commons.math.linear.CholeskyDecomposition
Returns the matrix L of the decomposition.
getL() - Method in class org.apache.commons.math.linear.CholeskyDecompositionImpl
Returns the matrix L of the decomposition.
getL() - Method in interface org.apache.commons.math.linear.FieldLUDecomposition
Returns the matrix L of the decomposition.
getL() - Method in class org.apache.commons.math.linear.FieldLUDecompositionImpl
Returns the matrix L of the decomposition.
getL() - Method in interface org.apache.commons.math.linear.LUDecomposition
Returns the matrix L of the decomposition.
getL() - Method in class org.apache.commons.math.linear.LUDecompositionImpl
Returns the matrix L of the decomposition.
getL1Distance(RealVector) - Method in class org.apache.commons.math.linear.AbstractRealVector
Distance between two vectors.
getL1Distance(double[]) - Method in class org.apache.commons.math.linear.AbstractRealVector
Distance between two vectors.
getL1Distance(RealVector) - Method in class org.apache.commons.math.linear.ArrayRealVector
Distance between two vectors.
getL1Distance(double[]) - Method in class org.apache.commons.math.linear.ArrayRealVector
Distance between two vectors.
getL1Distance(ArrayRealVector) - Method in class org.apache.commons.math.linear.ArrayRealVector
Distance between two vectors.
getL1Distance(OpenMapRealVector) - Method in class org.apache.commons.math.linear.OpenMapRealVector
Distance between two vectors.
getL1Distance(RealVector) - Method in class org.apache.commons.math.linear.OpenMapRealVector
Distance between two vectors.
getL1Distance(double[]) - Method in class org.apache.commons.math.linear.OpenMapRealVector
Distance between two vectors.
getL1Distance(RealVector) - Method in interface org.apache.commons.math.linear.RealVector
Distance between two vectors.
getL1Distance(double[]) - Method in interface org.apache.commons.math.linear.RealVector
Distance between two vectors.
getL1Norm() - Method in class org.apache.commons.math.linear.AbstractRealVector
Returns the L1 norm of the vector.
getL1Norm() - Method in class org.apache.commons.math.linear.ArrayRealVector
Returns the L1 norm of the vector.
getL1Norm() - Method in interface org.apache.commons.math.linear.RealVector
Returns the L1 norm of the vector.
getLabel(int) - Method in class jhplot.HPlotJa
Return the current lable
getLabelColor() - Method in class jhplot.HPlot3D
Get label color
getLabelColor() - Method in class jhplot.jadraw.JaAxes
Get label color
getLabelDimension(FontMetrics, int) - Method in class jhplot.jadraw.JaAxes
Get the lastst lavel size
getLabelFont() - Method in class jhplot.jadraw.JaAxes
Get label font
getLabelOffset(int) - Method in class jhplot.HPlot3D
Get offset for labels on X
getLabelRotation() - Method in class jhplot.jadraw.JaAxes
Get label rotation
getLabelsAll(int) - Method in class jhplot.HPlotJa
Get labels from all pads.
getLabelSpace(int) - Method in class jhplot.jadraw.JaAxes
Get label space
getLastIndex() - Method in interface hep.aida.ref.tuple.FTupleEvent
 
getLastIndex() - Method in class hep.aida.ref.tuple.TupleEvent
 
getLatexFS() - Method in class jhplot.jadraw.JaLatexText
Returns the latexfs property of this text object.
getLatexPanel() - Method in class jhplot.jadraw.JaLatexText
Returns the Panel that holds the String specifying this LatexText.
getLegend() - Method in class jhplot.DrawOptions
Returns true if this line style should draw the name in the legend of the graph, false otherwise
getLegend(int) - Method in class jhplot.SPlot
Get the legend for a dataset, or null if there is none.
getLegendDataset(String) - Method in class jhplot.SPlot
Given a legend string, return the corresponding dataset or -1 if no legend was added with that legend string.
getLegendFont() - Method in class jhplot.HPlot
Returns the font used by the legend.
getLegendPos(int) - Method in class jhplot.HPlot
Returns the x or y coordinates (defined in pixels, relative to the size of the panel showing the graph) of the legend.
getLegendPosUse() - Method in class jhplot.HPlot
Returns whether or not we use the legend coordinates.
getLegends() - Method in class jhplot.HPlotJa
Return all the keys used for data annotation
getLegendSpacing() - Method in class jhplot.HPlot
Returns the vertical spacing, between each line of the legend.
getLength() - Method in class org.apache.commons.math.genetics.AbstractListChromosome
Returns the length of the chromosome.
getLimit() - Method in class jhpro.stat.CLimits
Build a Confidence level.
getLimit(Random) - Method in class jhpro.stat.CLimits
Build a Confidence level with a custom Random() to build Poisson random numbers.
getLimitGuess() - Method in class jhpro.stat.limit.StatConfidence
Get limit guess
getLineColor() - Method in class jhplot.FPR
Get line color
getLineParm() - Method in class jhplot.DrawOptions
Get all drawing parameters.
getLinePars() - Method in class jhplot.P1D
get LinePars class which holds graphical attributes
getLineWidth() - Method in class jhplot.HKey
Get a key line width
getLInfDistance(RealVector) - Method in class org.apache.commons.math.linear.AbstractRealVector
Distance between two vectors.
getLInfDistance(double[]) - Method in class org.apache.commons.math.linear.AbstractRealVector
Distance between two vectors.
getLInfDistance(RealVector) - Method in class org.apache.commons.math.linear.ArrayRealVector
Distance between two vectors.
getLInfDistance(double[]) - Method in class org.apache.commons.math.linear.ArrayRealVector
Distance between two vectors.
getLInfDistance(ArrayRealVector) - Method in class org.apache.commons.math.linear.ArrayRealVector
Distance between two vectors.
getLInfDistance(RealVector) - Method in class org.apache.commons.math.linear.OpenMapRealVector
Distance between two vectors.
getLInfDistance(double[]) - Method in class org.apache.commons.math.linear.OpenMapRealVector
Distance between two vectors.
getLInfDistance(RealVector) - Method in interface org.apache.commons.math.linear.RealVector
Distance between two vectors.
getLInfDistance(double[]) - Method in interface org.apache.commons.math.linear.RealVector
Distance between two vectors.
getLInfNorm() - Method in class org.apache.commons.math.linear.AbstractRealVector
Returns the L norm of the vector.
getLInfNorm() - Method in class org.apache.commons.math.linear.ArrayRealVector
Returns the L norm of the vector.
getLInfNorm() - Method in interface org.apache.commons.math.linear.RealVector
Returns the L norm of the vector.
getLinkPath() - Method in class hep.aida.ref.event.TreeEvent
 
getListenableGraph() - Method in class jhplot.HGraph
Returns the current Listenable Graph
getLn10() - Method in class org.apache.commons.math.dfp.DfpField
Get the constant ln(10).
getLn2() - Method in class org.apache.commons.math.dfp.DfpField
Get the constant ln(2).
getLn2Split() - Method in class org.apache.commons.math.dfp.DfpField
Get the constant ln(2) split in two pieces.
getLn5() - Method in class org.apache.commons.math.dfp.DfpField
Get the constant ln(5).
getLn5Split() - Method in class org.apache.commons.math.dfp.DfpField
Get the constant ln(5) split in two pieces.
getLNQb(int, double, double) - Method in class jhpro.stat.ConfidenceLevel
Get a histogram of a canonical -2lnQ plot for background hypothesis (full)
getLNQsb(int, double, double) - Method in class jhpro.stat.ConfidenceLevel
Get a histogram of a canonical -2lnQ plot for for signal and background hypothesis
getLo() - Method in exception org.apache.commons.math.exception.OutOfRangeException
 
getLo() - Method in class org.apache.commons.math.optimization.univariate.BracketFinder
 
getLocalizedMessage() - Method in exception org.apache.commons.math.exception.MathIllegalArgumentException
Gets the message in the system default locale.
getLocalizedMessage() - Method in exception org.apache.commons.math.exception.MathIllegalStateException
Gets the message in the system default locale.
getLocalizedMessage() - Method in interface org.apache.commons.math.exception.MathThrowable
Gets the message in the system default locale.
getLocalizedMessage() - Method in exception org.apache.commons.math.exception.MathUnsupportedOperationException
Gets the message in the system default locale.
getLocalizedMessage() - Method in exception org.apache.commons.math.MathException
Gets the message in the system default locale.
getLocalizedMessage() - Method in exception org.apache.commons.math.MathRuntimeException
Gets the message in the system default locale.
getLocalizedString(Locale) - Method in class org.apache.commons.math.exception.util.DummyLocalizable
Get the localized string.
getLocalizedString(Locale) - Method in interface org.apache.commons.math.exception.util.Localizable
Get the localized string.
getLocalizedString(Locale) - Method in enum org.apache.commons.math.exception.util.LocalizedFormats
Get the localized string.
getLocation() - Method in class jhplot.math.num.pdf.Weibull
Access the location parameter.
getLock() - Method in class hep.aida.ref.tree.Tree
 
getLong(int) - Method in class hep.aida.ref.tuple.AbstractTuple
 
getLongProperty(int) - Method in class hep.aida.ref.tuple.JELTupleProvider
 
getLower() - Method in class jhplot.math.num.pdf.Uniform
Access the lower parameter.
getLowerEdgeX(int) - Method in class jhplot.H2D
Get lower edge of the bin in X
getLowerEdgeX(int) - Method in class jhplot.HProf2D
Get lower edge of the bin in X
getLowerEdgeY(int) - Method in class jhplot.H2D
Get lower edge of the bins in Y
getLowerEdgeY(int) - Method in class jhplot.HProf2D
Get lower edge of the bins in Y
getLParticle() - Method in class hephysics.particle.HEParticle
Returns a light-weight particle class
getLT() - Method in interface org.apache.commons.math.linear.CholeskyDecomposition
Returns the transpose of the matrix L of the decomposition.
getLT() - Method in class org.apache.commons.math.linear.CholeskyDecompositionImpl
Returns the transpose of the matrix L of the decomposition.
getMainSetDimension() - Method in interface org.apache.commons.math.ode.ExtendedFirstOrderDifferentialEquations
Return the dimension of the main set of equations.
getMarginBackground() - Method in class jhplot.GHPanel
Get color for all global margins
getMarginBottom() - Method in class jhplot.HPlot
Returns the distance between the bottom-border of the panel and the bottom X-axis.
getMarginBottom() - Method in class jhplot.HPlotJa
Get size of bottom margin
getMarginBottom() - Method in class jhplot.jadraw.JaAxes
Get bottom margin
getMarginLeft() - Method in class jhplot.HPlot
Returns the distance between the left-border of the panel and the left Y-axis.
getMarginLeft() - Method in class jhplot.HPlotJa
Get margin from left side
getMarginLeft() - Method in class jhplot.jadraw.JaAxes
Get left margin
getMarginPanelBottom() - Method in class jhplot.GHPanel
get JPanel for bottom margin
getMarginPanelCenter() - Method in class jhplot.GHPanel
get JPanel for central with drawings
getMarginPanelLeft() - Method in class jhplot.GHPanel
get JPanel for left margin
getMarginPanelRight() - Method in class jhplot.GHPanel
get JPanel for right margin
getMarginPanelTop() - Method in class jhplot.GHPanel
get JPanel for top margin
getMarginRight() - Method in class jhplot.HPlot
Returns the distance between the right-border of the panel and the right Y-axis.
getMarginRight() - Method in class jhplot.HPlotJa
Get margin from right
getMarginRight() - Method in class jhplot.jadraw.JaAxes
Get right margin
getMarginSizeBottom() - Method in class jhplot.GHPanel
Get size of the bottom margin as ratio to the main panel
getMarginSizeLeft() - Method in class jhplot.GHPanel
Get the size of left margin terms of the ratio to the main panel
getMarginSizeRight() - Method in class jhplot.GHPanel
Get the size of right margin of the global canvas in terms of the ratio to thye global canvas
getMarginSizeTop() - Method in class jhplot.GHPanel
Get size of the top margin of global canvas in terms of ratio to the main panel
getMarginTop() - Method in class jhplot.HPlot
Returns the distance between the top-border of the panel and the top X-axis.
getMarginTop() - Method in class jhplot.HPlotJa
Get the size of the top margin
getMarginTop() - Method in class jhplot.jadraw.JaAxes
Get top margin
getMarginX() - Method in class jhplot.HPlotJa
Get margin in X between pads
getMarginY() - Method in class jhplot.HPlotJa
Get space between any 2 plots in Y
getMass() - Method in class hephysics.particle.LParticle
Get a mass
getMatrix() - Method in class org.apache.commons.math.geometry.Rotation
Get the 3X3 matrix corresponding to the instance
getMax() - Method in class jhplot.F1D
Get the maximum value in X
getMax() - Method in class jhplot.FND
Get the maximum value in X
getMax() - Method in class jhplot.H1D
Get Maximum value of axis
getMax() - Method in class jhplot.HProf1D
Get Maximum value of axis
getMax(int) - Method in class jhplot.jadraw.JaAxes
Get max value
getMax() - Method in class jhplot.P0D
Returns the maximum value.
getMax() - Method in class jhplot.P0I
Returns the maximum value.
getMax(int) - Method in class jhplot.P1D
Returns the maximum value in the range.
getMax(int) - Method in class jhplot.P2D
Returns the maximum value in the range.
getMax(int) - Method in class jhplot.P3D
Returns the maximum value in the range.
getMax() - Method in class jhplot.PND
Get min value
getMax() - Method in class jhplot.PNI
Get min value
getMax() - Method in class jminhep.cluster.DataHolder
Get Max values of the data
getMax() - Method in exception org.apache.commons.math.exception.NumberIsTooLargeException
 
getMax() - Method in class org.apache.commons.math.optimization.univariate.AbstractUnivariateRealOptimizer
 
getMax() - Method in class org.apache.commons.math.stat.descriptive.AggregateSummaryStatistics
Returns the maximum of the available values
getMax() - Method in class org.apache.commons.math.stat.descriptive.DescriptiveStatistics
Returns the maximum of the available values
getMax() - Method in class org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics
Returns an array whose ith entry is the maximum of the ith entries of the arrays that have been added using MultivariateSummaryStatistics.addValue(double[])
getMax() - Method in interface org.apache.commons.math.stat.descriptive.StatisticalMultivariateSummary
Returns an array whose ith entry is the maximum of the ith entries of the arrays that correspond to each multivariate sample
getMax() - Method in interface org.apache.commons.math.stat.descriptive.StatisticalSummary
Returns the maximum of the available values
getMax() - Method in class org.apache.commons.math.stat.descriptive.StatisticalSummaryValues
 
getMax() - Method in class org.apache.commons.math.stat.descriptive.SummaryStatistics
Returns the maximum of the values that have been added.
getMax() - Method in class org.apache.commons.math.stat.descriptive.SynchronizedMultivariateSummaryStatistics
Returns an array whose ith entry is the maximum of the ith entries of the arrays that have been added using MultivariateSummaryStatistics.addValue(double[])
getMax() - Method in class org.apache.commons.math.stat.descriptive.SynchronizedSummaryStatistics
Returns the maximum of the values that have been added.
getMaxAbsoluteResidual() - Method in class jhplot.stat.LinReg
Get max absolute residual
getMaxCheckInterval() - Method in class org.apache.commons.math.ode.events.EventState
Get the maximal time interval between events handler checks.
getMaxEvaluations() - Method in exception org.apache.commons.math.MaxEvaluationsExceededException
Get the maximal number of evaluations allowed.
getMaxEvaluations() - Method in class org.apache.commons.math.ode.AbstractIntegrator
Get the maximal number of functions evaluations.
getMaxEvaluations() - Method in class org.apache.commons.math.ode.jacobians.FirstOrderIntegratorWithJacobians
Deprecated. Get the maximal number of functions evaluations.
getMaxEvaluations() - Method in interface org.apache.commons.math.ode.ODEIntegrator
Get the maximal number of functions evaluations.
getMaxEvaluations() - Method in interface org.apache.commons.math.optimization.DifferentiableMultivariateRealOptimizer
Get the maximal number of functions evaluations.
getMaxEvaluations() - Method in interface org.apache.commons.math.optimization.DifferentiableMultivariateVectorialOptimizer
Get the maximal number of functions evaluations.
getMaxEvaluations() - Method in class org.apache.commons.math.optimization.direct.DirectSearchOptimizer
Get the maximal number of functions evaluations.
getMaxEvaluations() - Method in class org.apache.commons.math.optimization.general.AbstractLeastSquaresOptimizer
Get the maximal number of functions evaluations.
getMaxEvaluations() - Method in class org.apache.commons.math.optimization.general.AbstractScalarDifferentiableOptimizer
Get the maximal number of functions evaluations.
getMaxEvaluations() - Method in class org.apache.commons.math.optimization.MultiStartDifferentiableMultivariateRealOptimizer
Get the maximal number of functions evaluations.
getMaxEvaluations() - Method in class org.apache.commons.math.optimization.MultiStartDifferentiableMultivariateVectorialOptimizer
Get the maximal number of functions evaluations.
getMaxEvaluations() - Method in class org.apache.commons.math.optimization.MultiStartMultivariateRealOptimizer
Get the maximal number of functions evaluations.
getMaxEvaluations() - Method in class org.apache.commons.math.optimization.MultiStartUnivariateRealOptimizer
Get the maximal number of functions evaluations.
getMaxEvaluations() - Method in interface org.apache.commons.math.optimization.MultivariateRealOptimizer
Get the maximal number of functions evaluations.
getMaxEvaluations() - Method in class org.apache.commons.math.optimization.univariate.AbstractUnivariateRealOptimizer
Get the maximal number of functions evaluations.
getMaxEvaluations() - Method in interface org.apache.commons.math.optimization.UnivariateRealOptimizer
Get the maximal number of functions evaluations.
getMaxGrowth() - Method in class org.apache.commons.math.ode.MultistepIntegrator
Get the maximal growth factor for stepsize control.
getMaxGrowth() - Method in class org.apache.commons.math.ode.nonstiff.EmbeddedRungeKuttaIntegrator
Get the maximal growth factor for stepsize control.
getMaximalIterationCount() - Method in interface org.apache.commons.math.ConvergingAlgorithm
Deprecated. Get the upper limit for the number of iterations.
getMaximalIterationCount() - Method in class org.apache.commons.math.ConvergingAlgorithmImpl
Deprecated. Get the upper limit for the number of iterations.
getMaximalIterationCount() - Method in class org.apache.commons.math.optimization.MultiStartUnivariateRealOptimizer
Get the upper limit for the number of iterations.
getMaxImpl() - Method in class org.apache.commons.math.stat.descriptive.DescriptiveStatistics
Returns the currently configured maximum implementation.
getMaxImpl() - Method in class org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics
Returns the currently configured maximum implementation
getMaxImpl() - Method in class org.apache.commons.math.stat.descriptive.SummaryStatistics
Returns the currently configured maximum implementation
getMaxImpl() - Method in class org.apache.commons.math.stat.descriptive.SynchronizedMultivariateSummaryStatistics
Returns the currently configured maximum implementation
getMaxImpl() - Method in class org.apache.commons.math.stat.descriptive.SynchronizedSummaryStatistics
Returns the currently configured maximum implementation
getMaximumIterations() - Method in class jhplot.math.num.IterativeMethod
Access the maximum number of iterations.
getMaximumIterations() - Method in class jhplot.math.num.root.Bracket
Access the maximum number of iterations.
getMaximumRelativeError() - Method in class jhplot.math.num.IterativeMethod
Access the maximum relative error.
getMaxIndex() - Method in class jhplot.P0D
Returns index corresponding to maximum value.
getMaxIndex() - Method in class jhplot.P0I
Returns index corresponding to maximum value.
getMaxIndex(int) - Method in class jhplot.P1D
Returns the index of maximum value in the range.
getMaxIndex() - Method in class org.apache.commons.math.linear.AbstractRealVector
Get the index of the maximum entry.
getMaxIter() - Method in class jhplot.HCellular
Returns the maximum generation number for GA evolutions
getMaxIterationCount() - Method in class org.apache.commons.math.ode.events.EventState
Get the upper limit in the iteration count for event localization.
getMaxIterations() - Method in exception org.apache.commons.math.MaxIterationsExceededException
Get the maximal number of iterations allowed.
getMaxIterations() - Method in interface org.apache.commons.math.optimization.DifferentiableMultivariateRealOptimizer
Get the maximal number of iterations of the algorithm.
getMaxIterations() - Method in interface org.apache.commons.math.optimization.DifferentiableMultivariateVectorialOptimizer
Get the maximal number of iterations of the algorithm.
getMaxIterations() - Method in class org.apache.commons.math.optimization.direct.DirectSearchOptimizer
Get the maximal number of iterations of the algorithm.
getMaxIterations() - Method in class org.apache.commons.math.optimization.general.AbstractLeastSquaresOptimizer
Get the maximal number of iterations of the algorithm.
getMaxIterations() - Method in class org.apache.commons.math.optimization.general.AbstractScalarDifferentiableOptimizer
Get the maximal number of iterations of the algorithm.
getMaxIterations() - Method in class org.apache.commons.math.optimization.linear.AbstractLinearOptimizer
Get the maximal number of iterations of the algorithm.
getMaxIterations() - Method in interface org.apache.commons.math.optimization.linear.LinearOptimizer
Get the maximal number of iterations of the algorithm.
getMaxIterations() - Method in class org.apache.commons.math.optimization.MultiStartDifferentiableMultivariateRealOptimizer
Get the maximal number of iterations of the algorithm.
getMaxIterations() - Method in class org.apache.commons.math.optimization.MultiStartDifferentiableMultivariateVectorialOptimizer
Get the maximal number of iterations of the algorithm.
getMaxIterations() - Method in class org.apache.commons.math.optimization.MultiStartMultivariateRealOptimizer
Get the maximal number of iterations of the algorithm.
getMaxIterations() - Method in interface org.apache.commons.math.optimization.MultivariateRealOptimizer
Get the maximal number of iterations of the algorithm.
getMaxNumberOfSubticsLog() - Method in class jhplot.HPlot
Returns the maximum number of subticks for log scale (default is 10).
getMaxStep() - Method in class org.apache.commons.math.ode.nonstiff.AdaptiveStepsizeIntegrator
Get the maximal step.
getMaxValue(int) - Method in class jhplot.HPlot
Returns the maximum data value for the specified axis.
getMaxValue() - Method in class jhplot.stat.Interpolator
Get min value of data in X
getMaxValue() - Method in class org.apache.commons.math.linear.AbstractRealVector
Get the value of the maximum entry.
getMaxX() - Method in class jhplot.F2D
Get Max value in X
getMaxX() - Method in class jhplot.F3D
Get Max value in X
getMaxX() - Method in class jhplot.H2D
Get max value of axis in X
getMaxX() - Method in class jhplot.HProf2D
Get max value of axis in X
getMaxX() - Method in class jhplot.stat.LinReg
Get a maximum value for X
getMaxX() - Method in class jhplot.stat.LinRegWeighted
Get a maximum value for X
getMaxY() - Method in class jhplot.F2D
Get Max value in Y
getMaxY() - Method in class jhplot.F3D
Get Max value in Y
getMaxY() - Method in class jhplot.H2D
Get max value of Y axis
getMaxY() - Method in class jhplot.HProf2D
Get max value of Y axis
getMaxY() - Method in class jhplot.stat.LinReg
Get maximum value in Y
getMaxY() - Method in class jhplot.stat.LinRegWeighted
Get maximum value in Y
getMaxZ() - Method in class jhplot.F3D
Set Max value in Z
getMColor() - Method in class jhplot.GHMargin
Get the text color
getMean() - Method in class jhplot.math.num.pdf.Exponential
Access the mean.
getMean() - Method in class jhplot.math.num.pdf.Laplace
Access the mean.
getMean() - Method in class jhplot.math.num.pdf.Logistic
Access the mean.
getMean() - Method in class jhplot.math.num.pdf.LogNormal
Access the mean.
getMean() - Method in class jhplot.math.num.pdf.NegativeBinomial
Get mean value.
getMean() - Method in class jhplot.math.num.pdf.Normal
Access the mean.
getMean() - Method in class jhplot.math.num.pdf.Poisson
Access the mean.
getMean(int) - Method in class jhplot.stat.PCA
Get means for the component k
getMean() - Method in interface org.apache.commons.math.distribution.ExponentialDistribution
Access the mean.
getMean() - Method in class org.apache.commons.math.distribution.ExponentialDistributionImpl
Access the mean.
getMean() - Method in interface org.apache.commons.math.distribution.NormalDistribution
Access the mean.
getMean() - Method in class org.apache.commons.math.distribution.NormalDistributionImpl
Access the mean.
getMean() - Method in interface org.apache.commons.math.distribution.PoissonDistribution
Get the mean for the distribution.
getMean() - Method in class org.apache.commons.math.distribution.PoissonDistributionImpl
Get the Poisson mean for the distribution.
getMean() - Method in class org.apache.commons.math.stat.descriptive.AggregateSummaryStatistics
Returns the arithmetic mean of the available values
getMean() - Method in class org.apache.commons.math.stat.descriptive.DescriptiveStatistics
Returns the arithmetic mean of the available values
getMean() - Method in class org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics
Returns an array whose ith entry is the mean of the ith entries of the arrays that have been added using MultivariateSummaryStatistics.addValue(double[])
getMean() - Method in interface org.apache.commons.math.stat.descriptive.StatisticalMultivariateSummary
Returns an array whose ith entry is the mean of the ith entries of the arrays that correspond to each multivariate sample
getMean() - Method in interface org.apache.commons.math.stat.descriptive.StatisticalSummary
Returns the arithmetic mean of the available values
getMean() - Method in class org.apache.commons.math.stat.descriptive.StatisticalSummaryValues
 
getMean() - Method in class org.apache.commons.math.stat.descriptive.SummaryStatistics
Returns the mean of the values that have been added.
getMean() - Method in class org.apache.commons.math.stat.descriptive.SynchronizedMultivariateSummaryStatistics
Returns an array whose ith entry is the mean of the ith entries of the arrays that have been added using MultivariateSummaryStatistics.addValue(double[])
getMean() - Method in class org.apache.commons.math.stat.descriptive.SynchronizedSummaryStatistics
Returns the mean of the values that have been added.
getMeanImpl() - Method in class org.apache.commons.math.stat.descriptive.DescriptiveStatistics
Returns the currently configured mean implementation.
getMeanImpl() - Method in class org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics
Returns the currently configured mean implementation
getMeanImpl() - Method in class org.apache.commons.math.stat.descriptive.SummaryStatistics
Returns the currently configured mean implementation
getMeanImpl() - Method in class org.apache.commons.math.stat.descriptive.SynchronizedMultivariateSummaryStatistics
Returns the currently configured mean implementation
getMeanImpl() - Method in class org.apache.commons.math.stat.descriptive.SynchronizedSummaryStatistics
Returns the currently configured mean implementation
getMeans() - Method in class jhplot.stat.StatShape
Get weighted means in X and Y
getMeanSquareError() - Method in class org.apache.commons.math.stat.regression.SimpleRegression
Returns the sum of squared errors divided by the degrees of freedom, usually abbreviated MSE.
getMeanX() - Method in class jhplot.H2D
Get mean on X.
getMeanX() - Method in class jhplot.HProf2D
Get mean on X.
getMeanY() - Method in class jhplot.H2D
Get mean on Y
getMeanY() - Method in class jhplot.HProf2D
Get mean on Y
getMeasuredValue() - Method in class org.apache.commons.math.estimation.WeightedMeasurement
Deprecated. Get the measured value
getMeasurements() - Method in interface org.apache.commons.math.estimation.EstimationProblem
Deprecated. Get the measurements of an estimation problem.
getMeasurements() - Method in class org.apache.commons.math.estimation.SimpleEstimationProblem
Deprecated. Get the measurements of an estimation problem.
getMedian() - Method in class jhplot.math.num.pdf.Cauchy
Access the location parameter.
getMedian() - Method in interface org.apache.commons.math.distribution.CauchyDistribution
Access the median.
getMedian() - Method in class org.apache.commons.math.distribution.CauchyDistributionImpl
Access the median.
getMessage(Locale) - Method in exception org.apache.commons.math.exception.MathIllegalArgumentException
Get the message in a specified locale.
getMessage() - Method in exception org.apache.commons.math.exception.MathIllegalArgumentException
Gets the message in a conventional US locale.
getMessage(Locale) - Method in exception org.apache.commons.math.exception.MathIllegalStateException
Get the message in a specified locale.
getMessage() - Method in exception org.apache.commons.math.exception.MathIllegalStateException
Gets the message in a conventional US locale.
getMessage(Locale) - Method in interface org.apache.commons.math.exception.MathThrowable
Gets the message in a specified locale.
getMessage() - Method in interface org.apache.commons.math.exception.MathThrowable
Gets the message in a conventional US locale.
getMessage(Locale) - Method in exception org.apache.commons.math.exception.MathUnsupportedOperationException
Get the message in a specified locale.
getMessage() - Method in exception org.apache.commons.math.exception.MathUnsupportedOperationException
Gets the message in a conventional US locale.
getMessage(Locale) - Method in exception org.apache.commons.math.MathException
Gets the message in a specified locale.
getMessage() - Method in exception org.apache.commons.math.MathException
Gets the message in a conventional US locale.
getMessage(Locale) - Method in exception org.apache.commons.math.MathRuntimeException
Gets the message in a specified locale.
getMessage() - Method in exception org.apache.commons.math.MathRuntimeException
Gets the message in a conventional US locale.
getMFont() - Method in class jhplot.GHMargin
Get the font on this panel
getMid() - Method in class org.apache.commons.math.optimization.univariate.BracketFinder
 
getMin() - Method in class jhplot.F1D
Get the minimum value in X
getMin() - Method in class jhplot.FND
Get the minimum value in X
getMin() - Method in class jhplot.H1D
Get Minimum value of the axis
getMin() - Method in class jhplot.HProf1D
Get Minimum value of the axis
getMin(int) - Method in class jhplot.jadraw.JaAxes
Get min value
getMin() - Method in class jhplot.P0D
Returns the minimum value.
getMin() - Method in class jhplot.P0I
Returns the minimum value.
getMin(int) - Method in class jhplot.P1D
Returns the minimum value in the range.
getMin(int) - Method in class jhplot.P2D
Returns the minimum value in the range.
getMin(int) - Method in class jhplot.P3D
Returns the minimum value in the range.
getMin() - Method in class jhplot.PND
Get max value
getMin() - Method in class jhplot.PNI
Get max value
getMin() - Method in class jminhep.cluster.DataHolder
Get Min values of the data holder
getMin() - Method in exception org.apache.commons.math.exception.NumberIsTooSmallException
 
getMin() - Method in class org.apache.commons.math.optimization.univariate.AbstractUnivariateRealOptimizer
 
getMin() - Method in class org.apache.commons.math.stat.descriptive.AggregateSummaryStatistics
Returns the minimum of the available values
getMin() - Method in class org.apache.commons.math.stat.descriptive.DescriptiveStatistics
Returns the minimum of the available values
getMin() - Method in class org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics
Returns an array whose ith entry is the minimum of the ith entries of the arrays that have been added using MultivariateSummaryStatistics.addValue(double[])
getMin() - Method in interface org.apache.commons.math.stat.descriptive.StatisticalMultivariateSummary
Returns an array whose ith entry is the minimum of the ith entries of the arrays that correspond to each multivariate sample
getMin() - Method in interface org.apache.commons.math.stat.descriptive.StatisticalSummary
Returns the minimum of the available values
getMin() - Method in class org.apache.commons.math.stat.descriptive.StatisticalSummaryValues
 
getMin() - Method in class org.apache.commons.math.stat.descriptive.SummaryStatistics
Returns the minimum of the values that have been added.
getMin() - Method in class org.apache.commons.math.stat.descriptive.SynchronizedMultivariateSummaryStatistics
Returns an array whose ith entry is the minimum of the ith entries of the arrays that have been added using MultivariateSummaryStatistics.addValue(double[])
getMin() - Method in class org.apache.commons.math.stat.descriptive.SynchronizedSummaryStatistics
Returns the minimum of the values that have been added.
getMinimalIterationCount() - Method in interface org.apache.commons.math.analysis.integration.UnivariateRealIntegrator
Get the lower limit for the number of iterations.
getMinimalIterationCount() - Method in class org.apache.commons.math.analysis.integration.UnivariateRealIntegratorImpl
Get the lower limit for the number of iterations.
getMinImpl() - Method in class org.apache.commons.math.stat.descriptive.DescriptiveStatistics
Returns the currently configured minimum implementation.
getMinImpl() - Method in class org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics
Returns the currently configured minimum implementation
getMinImpl() - Method in class org.apache.commons.math.stat.descriptive.SummaryStatistics
Returns the currently configured minimum implementation
getMinImpl() - Method in class org.apache.commons.math.stat.descriptive.SynchronizedMultivariateSummaryStatistics
Returns the currently configured minimum implementation
getMinImpl() - Method in class org.apache.commons.math.stat.descriptive.SynchronizedSummaryStatistics
Returns the currently configured minimum implementation
getMinIndex() - Method in class jhplot.P0D
Returns index corresponding to minimum value.
getMinIndex() - Method in class jhplot.P0I
Returns index corresponding to minimum value.
getMinIndex(int) - Method in class jhplot.P1D
Returns the index of minimum value in the range.
getMinIndex() - Method in class org.apache.commons.math.linear.AbstractRealVector
Get the index of the minimum entry.
getMinReduction() - Method in class org.apache.commons.math.ode.MultistepIntegrator
Get the minimal reduction factor for stepsize control.
getMinReduction() - Method in class org.apache.commons.math.ode.nonstiff.EmbeddedRungeKuttaIntegrator
Get the minimal reduction factor for stepsize control.
getMinStep() - Method in class org.apache.commons.math.ode.nonstiff.AdaptiveStepsizeIntegrator
Get the minimal step.
getMinValue(int) - Method in class jhplot.HPlot
Returns the minimum data value for the specified axis.
getMinValue() - Method in class jhplot.stat.Interpolator
Get maximum value of data in X
getMinValue() - Method in class org.apache.commons.math.linear.AbstractRealVector
Get the value of the minimum entry.
getMinX() - Method in class jhplot.F2D
Get Min value in X
getMinX() - Method in class jhplot.F3D
Get Min value in X
getMinX() - Method in class jhplot.H2D
Get min value of axis in X
getMinX() - Method in class jhplot.HProf2D
Get min value of axis in X
getMinX() - Method in class jhplot.stat.LinReg
Get a minimum value for X
getMinX() - Method in class jhplot.stat.LinRegWeighted
Get a minimum value for X
getMinY() - Method in class jhplot.F2D
Get Min value in Y
getMinY() - Method in class jhplot.F3D
Get Min value in Y
getMinY() - Method in class jhplot.H2D
Get min value of Y axis
getMinY() - Method in class jhplot.HProf2D
Get min value of Y axis
getMinY() - Method in class jhplot.stat.LinReg
Get minimum value for Y
getMinY() - Method in class jhplot.stat.LinRegWeighted
Get minimum value for Y
getMinZ() - Method in class jhplot.F3D
Get Min value in Z
getMode() - Method in class org.apache.commons.math.random.ValueServer
Getter for property mode.
getModel() - Method in class jhplot.HView3D
Get the current model to build a object.
getMSE() - Method in class jhplot.stat.LinReg
Get MSE value
getMu() - Method in class org.apache.commons.math.random.ValueServer
Getter for property mu.
getMultiText() - Method in class jhplot.jadraw.JaTextBox
Get multiline text
getMutationPolicy() - Method in class org.apache.commons.math.genetics.GeneticAlgorithm
Returns the mutation policy.
getMutationRate() - Method in class jhplot.HCellular
Returns the mutation rate
getMutationRate() - Method in class org.apache.commons.math.genetics.GeneticAlgorithm
Returns the mutation rate.
getN() - Method in class org.apache.commons.math.analysis.polynomials.PolynomialSplineFunction
Returns the number of spline segments = the number of polynomials = the number of knot points - 1.
getN() - Method in class org.apache.commons.math.stat.correlation.Covariance
Returns the number of observations (length of covariate vectors)
getN() - Method in class org.apache.commons.math.stat.descriptive.AggregateSummaryStatistics
Returns the number of available values
getN() - Method in class org.apache.commons.math.stat.descriptive.DescriptiveStatistics
Returns the number of available values
getN() - Method in class org.apache.commons.math.stat.descriptive.moment.FirstMoment
Returns the number of values that have been added.
getN() - Method in class org.apache.commons.math.stat.descriptive.moment.GeometricMean
Returns the number of values that have been added.
getN() - Method in class org.apache.commons.math.stat.descriptive.moment.Kurtosis
Returns the number of values that have been added.
getN() - Method in class org.apache.commons.math.stat.descriptive.moment.Mean
Returns the number of values that have been added.
getN() - Method in class org.apache.commons.math.stat.descriptive.moment.Skewness
Returns the number of values that have been added.
getN() - Method in class org.apache.commons.math.stat.descriptive.moment.StandardDeviation
Returns the number of values that have been added.
getN() - Method in class org.apache.commons.math.stat.descriptive.moment.Variance
Returns the number of values that have been added.
getN() - Method in class org.apache.commons.math.stat.descriptive.moment.VectorialCovariance
Get the number of vectors in the sample.
getN() - Method in class org.apache.commons.math.stat.descriptive.moment.VectorialMean
Get the number of vectors in the sample.
getN() - Method in class org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics
Returns the number of available values
getN() - Method in class org.apache.commons.math.stat.descriptive.rank.Max
Returns the number of values that have been added.
getN() - Method in class org.apache.commons.math.stat.descriptive.rank.Min
Returns the number of values that have been added.
getN() - Method in interface org.apache.commons.math.stat.descriptive.StatisticalMultivariateSummary
Returns the number of available values
getN() - Method in interface org.apache.commons.math.stat.descriptive.StatisticalSummary
Returns the number of available values
getN() - Method in class org.apache.commons.math.stat.descriptive.StatisticalSummaryValues
 
getN() - Method in interface org.apache.commons.math.stat.descriptive.StorelessUnivariateStatistic
Returns the number of values that have been added.
getN() - Method in class org.apache.commons.math.stat.descriptive.summary.Product
Returns the number of values that have been added.
getN() - Method in class org.apache.commons.math.stat.descriptive.summary.Sum
Returns the number of values that have been added.
getN() - Method in class org.apache.commons.math.stat.descriptive.summary.SumOfLogs
Returns the number of values that have been added.
getN() - Method in class org.apache.commons.math.stat.descriptive.summary.SumOfSquares
Returns the number of values that have been added.
getN() - Method in class org.apache.commons.math.stat.descriptive.SummaryStatistics
Returns the number of available values
getN() - Method in class org.apache.commons.math.stat.descriptive.SynchronizedDescriptiveStatistics
Returns the number of available values
getN() - Method in class org.apache.commons.math.stat.descriptive.SynchronizedMultivariateSummaryStatistics
Returns the number of available values
getN() - Method in class org.apache.commons.math.stat.descriptive.SynchronizedSummaryStatistics
Returns the number of available values
getN() - Method in class org.apache.commons.math.stat.regression.SimpleRegression
Returns the number of observations that have been added to the model.
getName() - Method in class hep.aida.ref.event.TreeEvent
 
getName() - Method in class hephysics.particle.LParticle
Get a name
getName() - Method in class jhplot.F1D
Get the name of the function used for evaluation
getName() - Method in class jhplot.F2D
Get the name of the function used for evaluation
getName() - Method in class jhplot.F3D
Get the name of the function used for evaluation
getName() - Method in class jhplot.FND
Get the name of the function used for evaluation
getName() - Method in class jhplot.FPR
Get parametric equation.
getName() - Method in class jhplot.PND
Get a new title
getName(int) - Method in class jminhep.cluster.DataHolder
Get name of the i-th attribute
getName() - Method in class jminhep.cluster.Partition
Get name for this clustering
getName() - Method in class org.apache.commons.math.estimation.EstimatedParameter
Deprecated. get the name of the parameter
getName() - Method in class org.apache.commons.math.ode.AbstractIntegrator
Get the name of the method.
getName() - Method in interface org.apache.commons.math.ode.ODEIntegrator
Get the name of the method.
getNames() - Method in class jhplot.VHolder
Return Vector with the names
getNameX() - Method in class jhplot.DrawOptions
Get the name of X-axis
getNameY() - Method in class jhplot.DrawOptions
Get the title of Y-axis.
getNameZ() - Method in class jhplot.DrawOptions
Get the title of Z-axis
getNanStrategy() - Method in class org.apache.commons.math.stat.ranking.NaturalRanking
Return the NaNStrategy
getNclusters() - Method in class jminhep.cluster.Partition
get number of reconstructed clusters
getNColumns() - Method in class hephysics.vec.Hep3Matrix
 
getNEntries() - Method in class jhplot.io.EFile
Get number of events stored in the file.
getNEntries() - Method in class jhplot.io.PFile
Get number of objects stored in the file.
getNetwork() - Method in class jhplot.HNeuralNet
Return neural net back.
getNewtonCoefficients() - Method in class org.apache.commons.math.analysis.polynomials.PolynomialFunctionNewtonForm
Returns a copy of coefficients in Newton form formula.
getNext() - Method in class org.apache.commons.math.random.ValueServer
Returns the next generated value, generated according to the mode value (see MODE constants).
getNextValue() - Method in interface org.apache.commons.math.random.EmpiricalDistribution
Generates a random value from this distribution.
getNextValue() - Method in class org.apache.commons.math.random.EmpiricalDistributionImpl
Generates a random value from this distribution.
getNFM(int) - Method in class jhplot.stat.FactorialMoments
Return results: NFM as a function of number of bins.
getNiterations() - Method in class jhplot.bsom.Bsom
 
getNiterations() - Method in class jhplot.HBsom
Get number of iterations used for fitting
getNKeys() - Method in class jhplot.io.FileRoot
Get number of objects in the current directory of a ROOT file.
getNMC() - Method in class jhpro.stat.limit.StatConfidence
Get number of MC events
getNobs() - Method in class jhpro.stat.limit.ExpData
Get the number of observations
getNorm() - Method in class org.apache.commons.math.geometry.Vector3D
Get the L2 norm for the vector.
getNorm() - Method in class org.apache.commons.math.linear.AbstractRealMatrix
Returns the maximum absolute row sum norm of the matrix.
getNorm() - Method in class org.apache.commons.math.linear.AbstractRealVector
Returns the L2 norm of the vector.
getNorm() - Method in class org.apache.commons.math.linear.ArrayRealVector
Returns the L2 norm of the vector.
getNorm() - Method in interface org.apache.commons.math.linear.BigMatrix
Deprecated. Returns the maximum absolute row sum norm of the matrix.
getNorm() - Method in class org.apache.commons.math.linear.BigMatrixImpl
Deprecated. Returns the maximum absolute row sum norm of the matrix.
getNorm() - Method in class org.apache.commons.math.linear.BlockRealMatrix
Returns the maximum absolute row sum norm of the matrix.
getNorm() - Method in interface org.apache.commons.math.linear.RealMatrix
Returns the maximum absolute row sum norm of the matrix.
getNorm() - Method in interface org.apache.commons.math.linear.RealVector
Returns the L2 norm of the vector.
getNorm() - Method in interface org.apache.commons.math.linear.SingularValueDecomposition
Returns the L2 norm of the matrix.
getNorm() - Method in class org.apache.commons.math.linear.SingularValueDecompositionImpl
Returns the L2 norm of the matrix.
getNorm1() - Method in class org.apache.commons.math.geometry.Vector3D
Get the L1 norm for the vector.
getNormalizationAmplitude() - Method in class hep.aida.ref.function.BaseModelFunction
 
getNormInf() - Method in class org.apache.commons.math.geometry.Vector3D
Get the L norm for the vector.
getNormSq() - Method in class org.apache.commons.math.geometry.Vector3D
Get the square of the norm for the vector.
getNRows() - Method in class hephysics.vec.Hep3Matrix
 
getNSteps() - Method in class org.apache.commons.math.ode.nonstiff.AdamsNordsieckTransformer
Get the number of steps of the method (excluding the one being computed).
getNtotX() - Method in class jhplot.GHFrame
Get the total number of graphs in X
getNtotX() - Method in class jhplot.HPlotJa
Get the total number of graphs in X
getNtotY() - Method in class jhplot.GHFrame
Get the total number of the graphs in Y
getNtotY() - Method in class jhplot.HPlotJa
Get the total number of the graphs in Y
getNumberChennels() - Method in class jhpro.stat.DataSource
Get total numberer of channels
getNumberOfElements() - Method in interface org.apache.commons.math.distribution.ZipfDistribution
Get the number of elements (e.g.
getNumberOfElements() - Method in class org.apache.commons.math.distribution.ZipfDistributionImpl
Get the number of elements (e.g.
getNumberOfFailures() - Method in class jhplot.math.num.pdf.Hypergeometric
Access the number of failures.
getNumberOfSuccesses() - Method in class jhplot.math.num.pdf.Hypergeometric
Access the number of successes.
getNumberOfSuccesses() - Method in class jhplot.math.num.pdf.NegativeBinomial
Access the number of successes.
getNumberOfSuccesses() - Method in interface org.apache.commons.math.distribution.HypergeometricDistribution
Access the number of successes.
getNumberOfSuccesses() - Method in class org.apache.commons.math.distribution.HypergeometricDistributionImpl
Access the number of successes.
getNumberOfSuccesses() - Method in interface org.apache.commons.math.distribution.PascalDistribution
Access the number of successes for this distribution.
getNumberOfSuccesses() - Method in class org.apache.commons.math.distribution.PascalDistributionImpl
Access the number of successes for this distribution.
getNumberOfTics(int) - Method in class jhplot.HPlot
Returns the number of ticks for the specified axis.
getNumberOfTrials() - Method in class jhplot.math.num.pdf.Binomial
Access the number of trials.
getNumberOfTrials() - Method in interface org.apache.commons.math.distribution.BinomialDistribution
Access the number of trials for this distribution.
getNumberOfTrials() - Method in class org.apache.commons.math.distribution.BinomialDistributionImpl
Access the number of trials for this distribution.
getNumDataSets() - Method in class jhplot.SPlot
Return the actual number of data sets.
getNumDigits(double) - Method in class jhplot.jadraw.JaAxes
Return the number of digits required to display the given number.
getNumElements() - Method in interface org.apache.commons.math.util.DoubleArray
Returns the number of elements currently in the array.
getNumElements() - Method in class org.apache.commons.math.util.ResizableDoubleArray
Returns the number of elements currently in the array.
getNumerator() - Method in class org.apache.commons.math.fraction.BigFraction
Access the numerator as a BigInteger.
getNumerator() - Method in class org.apache.commons.math.fraction.Fraction
Access the numerator.
getNumeratorAsInt() - Method in class org.apache.commons.math.fraction.BigFraction
Access the numerator as a int.
getNumeratorAsLong() - Method in class org.apache.commons.math.fraction.BigFraction
Access the numerator as a long.
getNumeratorDegreesOfFreedom() - Method in class jhplot.math.num.pdf.FDistribution
Access the numerator degrees of freedom.
getNumeratorDegreesOfFreedom() - Method in interface org.apache.commons.math.distribution.FDistribution
Access the numerator degrees of freedom.
getNumeratorDegreesOfFreedom() - Method in class org.apache.commons.math.distribution.FDistributionImpl
Access the numerator degrees of freedom.
getNumeratorFormat() - Method in class org.apache.commons.math.fraction.AbstractFormat
Access the numerator format.
getNumericalMean() - Method in class org.apache.commons.math.distribution.BetaDistributionImpl
Returns the mean.
getNumericalMean() - Method in class org.apache.commons.math.distribution.BinomialDistributionImpl
Returns the mean.
getNumericalMean() - Method in class org.apache.commons.math.distribution.CauchyDistributionImpl
Returns the mean.
getNumericalMean() - Method in class org.apache.commons.math.distribution.ChiSquaredDistributionImpl
Returns the mean of the distribution.
getNumericalMean() - Method in class org.apache.commons.math.distribution.ExponentialDistributionImpl
Returns the mean of the distribution.
getNumericalMean() - Method in class org.apache.commons.math.distribution.FDistributionImpl
Returns the mean of the distribution.
getNumericalMean() - Method in class org.apache.commons.math.distribution.GammaDistributionImpl
Returns the mean.
getNumericalMean() - Method in class org.apache.commons.math.distribution.PascalDistributionImpl
Returns the mean.
getNumericalMean() - Method in class org.apache.commons.math.distribution.TDistributionImpl
Returns the mean.
getNumericalMean() - Method in class org.apache.commons.math.distribution.WeibullDistributionImpl
Returns the mean of the distribution.
getNumericalVariance() - Method in class org.apache.commons.math.distribution.BetaDistributionImpl
Returns the variance.
getNumericalVariance() - Method in class org.apache.commons.math.distribution.BinomialDistributionImpl
Returns the variance.
getNumericalVariance() - Method in class org.apache.commons.math.distribution.CauchyDistributionImpl
Returns the variance.
getNumericalVariance() - Method in class org.apache.commons.math.distribution.ChiSquaredDistributionImpl
Returns the variance of the distribution.
getNumericalVariance() - Method in class org.apache.commons.math.distribution.ExponentialDistributionImpl
Returns the variance of the distribution.
getNumericalVariance() - Method in class org.apache.commons.math.distribution.FDistributionImpl
Returns the variance of the distribution.
getNumericalVariance() - Method in class org.apache.commons.math.distribution.GammaDistributionImpl
Returns the variance.
getNumericalVariance() - Method in class org.apache.commons.math.distribution.HypergeometricDistributionImpl
Returns the variance.
getNumericalVariance() - Method in class org.apache.commons.math.distribution.NormalDistributionImpl
Returns the variance.
getNumericalVariance() - Method in class org.apache.commons.math.distribution.PascalDistributionImpl
Returns the variance.
getNumericalVariance() - Method in class org.apache.commons.math.distribution.PoissonDistributionImpl
Returns the variance of the distribution.
getNumericalVariance() - Method in class org.apache.commons.math.distribution.TDistributionImpl
Returns the variance.
getNumericalVariance() - Method in class org.apache.commons.math.distribution.WeibullDistributionImpl
Returns the variance of the distribution.
getNumGenerations() - Method in class org.apache.commons.math.genetics.FixedGenerationCount
 
getNumRecords() - Method in class jhplot.io.BaseRecordsFile
Returns the number or records in the database.
getNumRecords() - Method in class jhplot.io.RecordsFile
Returns the current number of records in the database.
getObject() - Method in class hep.aida.ref.ContainerManagedObject
 
getObject(int) - Method in class hep.aida.ref.tuple.AbstractTuple
 
getObject(String) - Method in class jhplot.io.FileRoot
Get object associated with the key name in the current directory.
getObject(int) - Method in class jhplot.io.FileRoot
Get object associated with the key name in tthe current directory.
getObjectOutputStream() - Method in class jhplot.io.RecordWriter
 
getObservable() - Method in class hep.aida.ref.event.ObserverAdapter
 
getObservations() - Method in class org.apache.commons.math.optimization.fitting.CurveFitter
Get the observed points.
getOldPath() - Method in class hep.aida.ref.event.TreeEvent
 
getOne() - Method in class org.apache.commons.math.complex.ComplexField
Get the multiplicative identity of the field.
getOne() - Method in class org.apache.commons.math.dfp.Dfp
Get the constant 1.
getOne() - Method in class org.apache.commons.math.dfp.DfpField
Get the constant 1.
getOne() - Method in interface org.apache.commons.math.Field
Get the multiplicative identity of the field.
getOne() - Method in class org.apache.commons.math.fraction.BigFractionField
Get the multiplicative identity of the field.
getOne() - Method in class org.apache.commons.math.fraction.FractionField
Get the multiplicative identity of the field.
getOne() - Method in class org.apache.commons.math.util.BigRealField
Get the multiplicative identity of the field.
getOneWayAnova() - Static method in class org.apache.commons.math.stat.inference.TestUtils
Deprecated. 2.2 will be removed in 3.0
getOptima() - Method in class org.apache.commons.math.optimization.MultiStartDifferentiableMultivariateRealOptimizer
Get all the optima found during the last call to optimize.
getOptima() - Method in class org.apache.commons.math.optimization.MultiStartDifferentiableMultivariateVectorialOptimizer
Get all the optima found during the last call to optimize.
getOptima() - Method in class org.apache.commons.math.optimization.MultiStartMultivariateRealOptimizer
Get all the optima found during the last call to optimize.
getOptima() - Method in class org.apache.commons.math.optimization.MultiStartUnivariateRealOptimizer
Get all the optima found during the last call to optimize.
getOptimaValues() - Method in class org.apache.commons.math.optimization.MultiStartUnivariateRealOptimizer
Get all the function values at optima found during the last call to optimize.
getOptions() - Method in class hep.aida.ref.histogram.Cloud
Get the options with which the Cloud was created.
getOptions() - Method in class hep.aida.ref.tree.Tree
 
getOptions() - Method in class hep.aida.ref.tuple.AbstractTuple
 
getOrder() - Method in class org.apache.commons.math.ode.nonstiff.DormandPrince54Integrator
Get the order of the method.
getOrder() - Method in class org.apache.commons.math.ode.nonstiff.DormandPrince853Integrator
Get the order of the method.
getOrder() - Method in class org.apache.commons.math.ode.nonstiff.EmbeddedRungeKuttaIntegrator
Get the order of the method.
getOrder() - Method in class org.apache.commons.math.ode.nonstiff.HighamHall54Integrator
Get the order of the method.
getOutputStream() - Method in class jhplot.io.RecordWriter
 
getOverflow() - Method in class jhplot.H1D
Number of overflow entries
getOverflow() - Method in class jhplot.HProf1D
Number of overflow entries
getOverflowEntriesX() - Method in class jhplot.H2D
Get overflow entries in Y
getOverflowEntriesX() - Method in class jhplot.HProf2D
Get overflow entries in Y
getOverflowEntriesY() - Method in class jhplot.H2D
Get overflow entries in Y
getOverflowEntriesY() - Method in class jhplot.HProf2D
Get overflow entries in Y
getOverflowHeightX() - Method in class jhplot.H2D
Get overflow entries in Y
getOverflowHeightX() - Method in class jhplot.HProf2D
Get overflow entries in Y
getOverflowHeightY() - Method in class jhplot.H2D
Get overflow height in Y
getOverflowHeightY() - Method in class jhplot.HProf2D
Get overflow height in Y
getOverflowlowHeight() - Method in class jhplot.H1D
Overflow height
getOverflowlowHeight() - Method in class jhplot.HProf1D
Overflow height
getP() - Method in class jhplot.math.LUDecomposition
Return pivot permutation vector
getP() - Method in interface org.apache.commons.math.linear.FieldLUDecomposition
Returns the P rows permutation matrix.
getP() - Method in class org.apache.commons.math.linear.FieldLUDecompositionImpl
Returns the P rows permutation matrix.
getP() - Method in interface org.apache.commons.math.linear.LUDecomposition
Returns the P rows permutation matrix.
getP() - Method in class org.apache.commons.math.linear.LUDecompositionImpl
Returns the P rows permutation matrix.
getP0D(int) - Method in class jhplot.PND
Return a specific column as an array
getP0I(int) - Method in class jhplot.PNI
Return a specific column as an array
getP0I(int[]) - Static method in class jhplot.utils.ColorPixel
Get array list with (R,G,B) from list of pixels.
getP1D(int) - Method in class jhplot.HBook
Get P1D object from the index (key)
getP1D(String) - Method in class jhplot.io.FileRoot
Get P1D associated with the key name.
getP1D(int, int) - Method in class jhplot.PND
Return 2 columns as P1D to show as a X-Y plot
getP1D(int, int) - Method in class jhplot.PNI
Return 2 columns as P1D to show as a X-Y plot
getP2D(int, int, int) - Method in class jhplot.PND
Return 3 columns as P2D to show as a X-Y-Z plot
getP2D(int, int, int) - Method in class jhplot.PNI
Return 3 columns as P2D to show as a X-Y-Z plot
getPad() - Method in class jhplot.HPlotJa
Get current pad object
getPad(int, int) - Method in class jhplot.HPlotJa
Get pad characterised by n1 and n2
getPad(int) - Method in class jhplot.jadraw.JaAxes
Get ID of the current pad
getPadHeight() - Method in class jhplot.HPlotJa
Get the height of the current pad in NDC system.
getPadPositionX() - Method in class jhplot.HPlotJa
Get the position of the current pad in X (NDC coordinate)
getPadPositionY() - Method in class jhplot.HPlotJa
Get the position of the current pad in Y (in NDC coordinate)
getPadWidth() - Method in class jhplot.HPlotJa
Get the width of the current pad in NDC system.
getPadX() - Method in class jhplot.jadraw.JaKey
Get pad ID in X
getPadX() - Method in class jhplot.jadraw.JaText
Get pad ID in X
getPadX() - Method in class jhplot.jadraw.JaTextBox
Get pad ID in X
getPadY() - Method in class jhplot.jadraw.JaKey
Get pad ID in Y
getPadY() - Method in class jhplot.jadraw.JaText
Get pad ID in Y
getPadY() - Method in class jhplot.jadraw.JaTextBox
Get pad ID in Y
getPanelSize() - Method in class jhplot.HPlot
Returns the dimensions of the panel used to display the graph.
getPar(String) - Method in class jhplot.HFitter
Get parameter value
getParametersDimension() - Method in interface org.apache.commons.math.ode.jacobians.ODEWithJacobians
Deprecated. Get the number of parameters.
getParametersDimension() - Method in interface org.apache.commons.math.ode.jacobians.ParameterizedODE
Deprecated. Get the number of parameters.
getParent() - Method in class hephysics.particle.LParticle
Get a parent particle
getParse() - Method in class jhplot.F1D
Return parsed function.
getParse() - Method in class jhplot.F2D
Return parsed function.
getParse() - Method in class jhplot.F3D
Return parsed function.
getPartial(EstimatedParameter) - Method in class org.apache.commons.math.estimation.WeightedMeasurement
Deprecated. Get the partial derivative of the theoretical value according to the parameter.
getPath() - Method in class hep.aida.ref.event.TreeEvent
 
getPattern() - Method in exception org.apache.commons.math.MathException
Deprecated. as of 2.2 replaced by MathException.getSpecificPattern() and MathException.getGeneralPattern()
getPattern() - Method in exception org.apache.commons.math.MathRuntimeException
Deprecated. as of 2.2 replaced by MathRuntimeException.getSpecificPattern() and MathRuntimeException.getGeneralPattern()
getPct(Object) - Method in class org.apache.commons.math.stat.Frequency
Deprecated. replaced by Frequency.getPct(Comparable) as of 2.0
getPct(Comparable<?>) - Method in class org.apache.commons.math.stat.Frequency
Returns the percentage of values that are equal to v (as a proportion between 0 and 1).
getPct(int) - Method in class org.apache.commons.math.stat.Frequency
Returns the percentage of values that are equal to v (as a proportion between 0 and 1).
getPct(long) - Method in class org.apache.commons.math.stat.Frequency
Returns the percentage of values that are equal to v (as a proportion between 0 and 1).
getPct(char) - Method in class org.apache.commons.math.stat.Frequency
Returns the percentage of values that are equal to v (as a proportion between 0 and 1).
getPdgcode() - Method in class hephysics.particle.HEParticle
Get PDG code
getPearsonR() - Method in class jhplot.stat.LinReg
Get pearson R
getPenColor() - Method in class jhplot.P3D
Get the color attribute
getPenWidth() - Method in class jhplot.FPR
Get width of line
getPenWidth() - Method in class jhplot.jadraw.JaKey
Get pen width used to draw the key
getPenWidth() - Method in class jhplot.jadraw.JaLine
Get line width
getPenWidth() - Method in class jhplot.P3D
Get width of the lines
getPenWidthAxes() - Method in class jhplot.HPlot3D
Gets the pen width to draw axes
getPenWidthAxis() - Method in class jhplot.HPlot
Get pen width to draw axis
getPercentile(double) - Method in class org.apache.commons.math.stat.descriptive.DescriptiveStatistics
Returns an estimate for the pth percentile of the stored values.
getPercentileImpl() - Method in class org.apache.commons.math.stat.descriptive.DescriptiveStatistics
Returns the currently configured percentile implementation.
getPhase() - Method in class org.apache.commons.math.optimization.fitting.HarmonicFunction
Get the phase φ.
getPi() - Method in class org.apache.commons.math.dfp.DfpField
Get the constant π.
getPicture() - Method in class jhplot.shapes.Picture
Get the image
getPiSplit() - Method in class org.apache.commons.math.dfp.DfpField
Get the constant π split in two pieces.
getPivot() - Method in interface org.apache.commons.math.linear.FieldLUDecomposition
Returns the pivot permutation vector.
getPivot() - Method in class org.apache.commons.math.linear.FieldLUDecompositionImpl
Returns the pivot permutation vector.
getPivot() - Method in interface org.apache.commons.math.linear.LUDecomposition
Returns the pivot permutation vector.
getPivot() - Method in class org.apache.commons.math.linear.LUDecompositionImpl
Returns the pivot permutation vector.
getPixel(Color) - Static method in class jhplot.utils.ColorPixel
Convert color into compact integer representation of pixel.
getPixel(int, int, int) - Static method in class jhplot.utils.ColorPixel
Convert color (red,green,blue) into compact integer representation of pixel.
getPixel(int[], int[], int[]) - Static method in class jhplot.utils.ColorPixel
Convert arrays with R,G,B into a pixel color as in ImageJ.
getPlotCanvas() - Method in class jhplot.HPlot2D
Get the original canvas
getPlotRectangle() - Method in class jhplot.SPlot
Get the current plot rectangle.
getPlotType() - Method in class jhplot.jadraw.JaAxes
 
getPNI(int[]) - Static method in class jhplot.utils.ColorPixel
Get array list with (R,G,B) from list of pixels.
getPoint() - Method in class org.apache.commons.math.optimization.RealPointValuePair
Get the point.
getPoint() - Method in class org.apache.commons.math.optimization.VectorialPointValuePair
Get the point.
getPoint() - Method in class org.apache.commons.math.stat.clustering.EuclideanIntegerPoint
Get the n-dimensional point in integer space.
getPointRef() - Method in class org.apache.commons.math.optimization.RealPointValuePair
Get a reference to the point.
getPointRef() - Method in class org.apache.commons.math.optimization.VectorialPointValuePair
Get a reference to the point.
getPoints() - Method in class jhplot.F1D
Get the number of points
getPoints() - Method in class jhplot.F2D
Get the number of points for evaluation of a function
getPoints() - Method in class jhplot.F3D
Get the number of points for evaluation of a function
getPoints() - Method in class jhplot.FND
Get the number of points
getPoints(DataArray) - Method in class jhplot.jadraw.JaAxes
 
getPoints() - Method in class jminhep.cluster.Partition
Get number of points accosiated with clusters
getPoints() - Method in class org.apache.commons.math.stat.clustering.Cluster
Get the points contained in the cluster.
getPointsNoCuts(DataArray) - Method in class jhplot.jadraw.JaAxes
 
getPolynomialFunction() - Method in class org.apache.commons.math.analysis.solvers.LaguerreSolver
Deprecated. as of 2.0 the function is not stored anymore within the instance.
getPolynomials() - Method in class org.apache.commons.math.analysis.polynomials.PolynomialSplineFunction
Returns a copy of the interpolating polynomials array.
getPopulationLimit() - Method in class org.apache.commons.math.genetics.ListPopulation
Access the maximum population size.
getPopulationLimit() - Method in interface org.apache.commons.math.genetics.Population
Access the maximum population size.
getPopulationSize() - Method in class jhplot.HCellular
Returns the populationSize
getPopulationSize() - Method in interface org.apache.commons.math.distribution.HypergeometricDistribution
Access the population size.
getPopulationSize() - Method in class org.apache.commons.math.distribution.HypergeometricDistributionImpl
Access the population size.
getPopulationSize() - Method in class org.apache.commons.math.genetics.ListPopulation
Access the current population size.
getPopulationSize() - Method in interface org.apache.commons.math.genetics.Population
Access the current population size.
getPosition() - Method in class hephysics.particle.HEParticle
Get position in X,Y,Z,time
getPosition() - Method in class jhplot.shapes.HShape
Get position of a primitive
getPositionCoordinate() - Method in class jhplot.HKey
Is the position set?
getPositionCoordinate() - Method in class jhplot.HLabel
Is the position set?
getPositionCoordinate() - Method in class jhplot.HLabelEq
Is the position set?
getPositionCoordinate() - Method in class jhplot.HMLabel
Is the position set?
getPositionCoordinate() - Method in class jhplot.shapes.HShape
Is the position set?
getPowerN(double[], int) - Static method in class jhplot.math.ArrayMathUtils
Sums all components then puts to power n.
getPrediction() - Method in class jhplot.stat.LinReg
Get prediction lines
getPrediction(Color) - Method in class jhplot.stat.LinReg
Get prediction lines
getPredictionBand() - Method in class jhplot.stat.LinReg
Calculate the prediction band in form of P1D with errors.
getPredictionBand(Color) - Method in class jhplot.stat.LinReg
Calculate the prediction band in form of P1D with errors.
getPredictionBand(Color, double) - Method in class jhplot.stat.LinReg
Calculate the prediction band in form of P1D with errors.
getPredictionBand(int, Color, double) - Method in class jhplot.stat.LinReg
Calculate the prediction band in form of P1D with errors.
getPreferences() - Static method in class jhplot.HPlotJa
Checks whether preferences have been saved from an earlier session and if yes, imports them.
getPrefix() - Method in class org.apache.commons.math.geometry.Vector3DFormat
Get the format prefix.
getPrefix() - Method in class org.apache.commons.math.linear.RealVectorFormat
Get the format prefix.
getPrevious() - Method in exception org.apache.commons.math.exception.NonMonotonousSequenceException
 
getPreviousTime() - Method in interface org.apache.commons.math.ode.jacobians.StepInterpolatorWithJacobians
Deprecated. Get the previous grid point time.
getPreviousTime() - Method in class org.apache.commons.math.ode.sampling.AbstractStepInterpolator
Get the previous soft grid point time.
getPreviousTime() - Method in interface org.apache.commons.math.ode.sampling.StepInterpolator
Get the previous grid point time.
getProbability() - Method in class jhplot.H1D
Return q probability distribution derived from a histogram.
getProbability() - Method in class jhplot.H2D
Return q probability distribution derived from a histogram.
getProbabilityCH() - Method in class jhpro.stat.limit.StatConfidence
get probability (Cousins+Highland) for the given limit.
getProbabilityJ() - Method in class jhpro.stat.limit.StatConfidence
Probability (Jeffreys) for the given limit.
getProbabilityOfSuccess() - Method in class jhplot.math.num.pdf.Binomial
Access probability of success.
getProbabilityOfSuccess() - Method in class jhplot.math.num.pdf.Geometric
Access probability of success.
getProbabilityOfSuccess() - Method in class jhplot.math.num.pdf.NegativeBinomial
Access probability of success.
getProbabilityOfSuccess() - Method in interface org.apache.commons.math.distribution.BinomialDistribution
Access the probability of success for this distribution.
getProbabilityOfSuccess() - Method in class org.apache.commons.math.distribution.BinomialDistributionImpl
Access the probability of success for this distribution.
getProbabilityOfSuccess() - Method in interface org.apache.commons.math.distribution.PascalDistribution
Access the probability of success for this distribution.
getProbabilityOfSuccess() - Method in class org.apache.commons.math.distribution.PascalDistributionImpl
Access the probability of success for this distribution.
getProbabilitySWG() - Method in class jhpro.stat.limit.StatConfidence
Get probability (BaBar SWG) for the given limit.
getProperInstance() - Static method in class org.apache.commons.math.fraction.BigFractionFormat
Returns the default complex format for the current locale.
getProperInstance(Locale) - Static method in class org.apache.commons.math.fraction.BigFractionFormat
Returns the default complex format for the given locale.
getProperInstance() - Static method in class org.apache.commons.math.fraction.FractionFormat
Returns the default complex format for the current locale.
getProperInstance(Locale) - Static method in class org.apache.commons.math.fraction.FractionFormat
Returns the default complex format for the given locale.
getPulsation() - Method in class org.apache.commons.math.optimization.fitting.HarmonicFunction
Get the pulsation ω.
getQ() - Method in class jhplot.math.QRDecomposition
Generate and return the (economy-sized) orthogonal factor
getQ() - Method in interface org.apache.commons.math.linear.QRDecomposition
Returns the matrix Q of the decomposition.
getQ() - Method in class org.apache.commons.math.linear.QRDecompositionImpl
Returns the matrix Q of the decomposition.
getQ0() - Method in class org.apache.commons.math.geometry.Rotation
Get the scalar coordinate of the quaternion.
getQ1() - Method in class org.apache.commons.math.geometry.Rotation
Get the first coordinate of the vectorial part of the quaternion.
getQ2() - Method in class org.apache.commons.math.geometry.Rotation
Get the second coordinate of the vectorial part of the quaternion.
getQ3() - Method in class org.apache.commons.math.geometry.Rotation
Get the third coordinate of the vectorial part of the quaternion.
getQT() - Method in interface org.apache.commons.math.linear.QRDecomposition
Returns the transpose of the matrix Q of the decomposition.
getQT() - Method in class org.apache.commons.math.linear.QRDecompositionImpl
Returns the transpose of the matrix Q of the decomposition.
getQuantile() - Method in class org.apache.commons.math.stat.descriptive.rank.Percentile
Returns the value of the quantile field (determines what percentile is computed when evaluate() is called with no quantile argument).
getR() - Method in class jhplot.math.QRDecomposition
Return the upper triangular factor
getR() - Method in interface org.apache.commons.math.linear.QRDecomposition
Returns the matrix R of the decomposition.
getR() - Method in class org.apache.commons.math.linear.QRDecompositionImpl
Returns the matrix R of the decomposition.
getR() - Method in class org.apache.commons.math.stat.regression.SimpleRegression
Returns Pearson's product moment correlation coefficient, usually denoted r.
getRadius() - Method in class jhplot.shapes.Circle
Get the radius
getRadiusX() - Method in class jhplot.shapes.Ellipse
Get the radius in X
getRadiusY() - Method in class jhplot.shapes.Ellipse
Get the radius in Y
getRadixDigits() - Method in class org.apache.commons.math.dfp.Dfp
Get the number of radix digits of the instance.
getRadixDigits() - Method in class org.apache.commons.math.dfp.DfpField
Get the number of radix digits of the Dfp instances built by this factory.
getRandomGenerator() - Static method in class org.apache.commons.math.genetics.GeneticAlgorithm
Returns the (static) random generator.
getRangeCopy(double[], int, int) - Static method in class jhplot.math.DoubleArray
Extract a section of an array.
getRangeCopy(int[], int, int) - Static method in class jhplot.math.IntegerArray
 
getRangeSet() - Method in class hep.aida.ref.function.BaseModelFunction
 
getRank() - Method in interface org.apache.commons.math.linear.SingularValueDecomposition
Return the effective numerical matrix rank.
getRank() - Method in class org.apache.commons.math.linear.SingularValueDecompositionImpl
Return the effective numerical matrix rank.
getRank() - Method in class org.apache.commons.math.random.CorrelatedRandomVectorGenerator
Get the rank of the covariance matrix.
getRankCorrelation() - Method in class org.apache.commons.math.stat.correlation.SpearmansCorrelation
Returns a PearsonsCorrelation instance constructed from the ranked input data.
getReader() - Method in class jhplot.io.FileRoot
Returns RootFileReader
getReal() - Method in class org.apache.commons.math.complex.Complex
Access the real part.
getRealEigenvalue(int) - Method in interface org.apache.commons.math.linear.EigenDecomposition
Returns the real part of the ith eigenvalue of the original matrix.
getRealEigenvalue(int) - Method in class org.apache.commons.math.linear.EigenDecompositionImpl
Returns the real part of the ith eigenvalue of the original matrix.
getRealEigenvalues() - Method in interface org.apache.commons.math.linear.EigenDecomposition
Returns a copy of the real parts of the eigenvalues of the original matrix.
getRealEigenvalues() - Method in class org.apache.commons.math.linear.EigenDecompositionImpl
Returns a copy of the real parts of the eigenvalues of the original matrix.
getRealFormat() - Method in class org.apache.commons.math.complex.ComplexFormat
Access the realFormat.
getRecords() - Method in class jhplot.io.HDataBase
Returns the current number of records in the database.
getReducedFraction(int, int) - Static method in class org.apache.commons.math.fraction.BigFraction
Creates a BigFraction instance with the 2 parts of a fraction Y/Z.
getReducedFraction(int, int) - Static method in class org.apache.commons.math.fraction.Fraction
Creates a Fraction instance with the 2 parts of a fraction Y/Z.
getRegressionSumSquares() - Method in class org.apache.commons.math.stat.regression.SimpleRegression
Returns the sum of squared deviations of the predicted y values about their mean (which equals the mean of y).
getRelation() - Method in class jminhep.cluster.DataHolder
Get name of the data holder (i.e.
getRelationship() - Method in class org.apache.commons.math.optimization.linear.LinearConstraint
Get the relationship between left and right hand sides.
getRelativeAccuracy() - Method in interface org.apache.commons.math.ConvergingAlgorithm
Deprecated. Get the actual relative accuracy.
getRelativeAccuracy() - Method in class org.apache.commons.math.ConvergingAlgorithmImpl
Deprecated. Get the actual relative accuracy.
getRelativeAccuracy() - Method in class org.apache.commons.math.optimization.MultiStartUnivariateRealOptimizer
Get the actual relative accuracy.
getRelativeError() - Method in interface jhplot.math.num.IterativeMethod.IterativeState
Access the current relative error in the evaluation.
getRelh() - Method in class jhplot.jadraw.JaObject
Returns the relative height of this object.
getRelHndc() - Method in class jhplot.jadraw.JaObject
Returns the relative height of this object in NDC.
getRelHuser() - Method in class jhplot.jadraw.JaObject
Returns the relative height of this object in USER.
getRelSize() - Method in class jhplot.jadraw.JaObject
Returns the relative width and height of this object.
getRelw() - Method in class jhplot.jadraw.JaObject
Returns the relative width of this object.
getRelWndc() - Method in class jhplot.jadraw.JaObject
Returns the relative width of this object in NDC.
getRelWuser() - Method in class jhplot.jadraw.JaObject
Returns the relative width of this object in USER.
getRepresentation() - Method in class hephysics.vec.SpacePoint
 
getResidual() - Method in class org.apache.commons.math.estimation.WeightedMeasurement
Deprecated. Get the residual for this measurement The residual is the measured value minus the theoretical value.
getResiduals() - Method in class jhplot.stat.LinReg
Get residuals
getResult() - Method in class jhplot.HBsom
Get results of training.
getResult() - Method in class jhplot.HFitter
Get result of the fit.
getResult() - Method in class jhplot.stat.LinReg
Get the linear regression result
getResult() - Method in class jhplot.stat.LinRegWeighted
Get the fit results
getResult() - Method in interface org.apache.commons.math.analysis.integration.UnivariateRealIntegrator
Get the result of the last run of the integrator.
getResult() - Method in class org.apache.commons.math.analysis.integration.UnivariateRealIntegratorImpl
Access the last computed integral.
getResult() - Method in interface org.apache.commons.math.analysis.solvers.UnivariateRealSolver
Get the result of the last run of the solver.
getResult() - Method in class org.apache.commons.math.analysis.solvers.UnivariateRealSolverImpl
Deprecated. Get the result of the last run of the solver.
getResult() - Method in class org.apache.commons.math.optimization.MultiStartUnivariateRealOptimizer
Get the result of the last run of the optimizer.
getResult() - Method in class org.apache.commons.math.optimization.univariate.AbstractUnivariateRealOptimizer
Get the result of the last run of the optimizer.
getResult() - Method in interface org.apache.commons.math.optimization.UnivariateRealOptimizer
Get the result of the last run of the optimizer.
getResult() - Method in class org.apache.commons.math.stat.descriptive.AbstractStorelessUnivariateStatistic
Returns the current value of the Statistic.
getResult() - Method in class org.apache.commons.math.stat.descriptive.moment.FirstMoment
Returns the current value of the Statistic.
getResult() - Method in class org.apache.commons.math.stat.descriptive.moment.FourthMoment
Returns the current value of the Statistic.
getResult() - Method in class org.apache.commons.math.stat.descriptive.moment.GeometricMean
Returns the current value of the Statistic.
getResult() - Method in class org.apache.commons.math.stat.descriptive.moment.Kurtosis
Returns the current value of the Statistic.
getResult() - Method in class org.apache.commons.math.stat.descriptive.moment.Mean
Returns the current value of the Statistic.
getResult() - Method in class org.apache.commons.math.stat.descriptive.moment.SecondMoment
Returns the current value of the Statistic.
getResult() - Method in class org.apache.commons.math.stat.descriptive.moment.Skewness
Returns the value of the statistic based on the values that have been added.
getResult() - Method in class org.apache.commons.math.stat.descriptive.moment.StandardDeviation
Returns the current value of the Statistic.
getResult() - Method in class org.apache.commons.math.stat.descriptive.moment.ThirdMoment
Returns the current value of the Statistic.
getResult() - Method in class org.apache.commons.math.stat.descriptive.moment.Variance
Returns the current value of the Statistic.
getResult() - Method in class org.apache.commons.math.stat.descriptive.moment.VectorialCovariance
Get the covariance matrix.
getResult() - Method in class org.apache.commons.math.stat.descriptive.moment.VectorialMean
Get the mean vector.
getResult() - Method in class org.apache.commons.math.stat.descriptive.rank.Max
Returns the current value of the Statistic.
getResult() - Method in class org.apache.commons.math.stat.descriptive.rank.Min
Returns the current value of the Statistic.
getResult() - Method in interface org.apache.commons.math.stat.descriptive.StorelessUnivariateStatistic
Returns the current value of the Statistic.
getResult() - Method in class org.apache.commons.math.stat.descriptive.summary.Product
Returns the current value of the Statistic.
getResult() - Method in class org.apache.commons.math.stat.descriptive.summary.Sum
Returns the current value of the Statistic.
getResult() - Method in class org.apache.commons.math.stat.descriptive.summary.SumOfLogs
Returns the current value of the Statistic.
getResult() - Method in class org.apache.commons.math.stat.descriptive.summary.SumOfSquares
Returns the current value of the Statistic.
getResults(String) - Method in class jhpro.stat.ConfidenceLevel
Display sort of a "canonical" -2lnQ plot.
getResults() - Method in class jhpro.stat.Moments
Get results in form of P1D.
getResults() - Method in class jhpro.stat.MomentsFac
Get results in form of P1D.
getResults() - Method in class jhpro.stat.MomentsFacNorm
Get results in form of P1D.
getResults() - Method in class jhpro.stat.MomentsNorm
Get results in form of P1D.
getRGB(int) - Static method in class jhplot.utils.ColorPixel
Get (R,G,B) from a pixel color.
getRGB(int[]) - Static method in class jhplot.utils.ColorPixel
Get array list with (R,G,B) from list of pixels.
getRMS(EstimationProblem) - Method in class org.apache.commons.math.estimation.AbstractEstimator
Deprecated. Get the Root Mean Square value.
getRMS(EstimationProblem) - Method in interface org.apache.commons.math.estimation.Estimator
Deprecated. Get the Root Mean Square value.
getRMS() - Method in class org.apache.commons.math.optimization.general.AbstractLeastSquaresOptimizer
Get the Root Mean Square value.
getRmsX() - Method in class jhplot.H2D
Get RMS on X
getRmsX() - Method in class jhplot.HProf2D
Get RMS on X
getRmsY() - Method in class jhplot.H2D
Get RMS on Y
getRmsY() - Method in class jhplot.HProf2D
Get RMS on Y
getRootMatrix() - Method in class org.apache.commons.math.random.CorrelatedRandomVectorGenerator
Get the root of the covariance matrix.
getRotAngle() - Method in class jhplot.jadraw.JaBlob
Returns the rotation angle of this blob.
getRotAngle() - Method in class jhplot.jadraw.JaKey
Returns the rotAngle property of this text object.
getRotAngle() - Method in class jhplot.jadraw.JaLatexText
Returns the rotAngle property of this text object.
getRotAngle() - Method in class jhplot.jadraw.JaText
Returns the rotAngle property of this text object.
getRotAngle() - Method in class jhplot.jadraw.JaTextBox
Returns the rotAngle property of this text object.
getRotAngle() - Method in class jhplot.jadraw.JaVertexT2
Returns the rotation angle of this vertex.
getRotateTicks(int) - Method in class jhplot.jadraw.JaAxes
Set true if ticks should be rotated
getRotation() - Method in class jhplot.GHMargin
Get the rotation angle of the text in degrees.
getRotation() - Method in class jhplot.HKey
Returns the rotation angle.
getRotation() - Method in class jhplot.HLabel
Returns the rotation angle.
getRotation() - Method in class jhplot.HMLabel
Returns the rotation angle.
getRotation() - Method in class jhplot.shapes.Text
Get the rotation angle
getRotationAngle() - Method in class jhplot.HPlot3D
Get the rotation angle
getRoundingMode() - Method in class org.apache.commons.math.dfp.DfpField
Get the current rounding mode.
getRoundingMode() - Method in interface org.apache.commons.math.linear.BigMatrix
Deprecated. Gets the rounding mode
getRoundingMode() - Method in class org.apache.commons.math.linear.BigMatrixImpl
Deprecated. Gets the rounding mode for division operations The default is BigDecimal.ROUND_HALF_UP
getRoundingMode() - Method in class org.apache.commons.math.util.BigReal
Gets the rounding mode for division operations The default is RoundingMode.HALF_UP
getRow() - Method in class hep.aida.ref.tuple.AbstractTuple
 
getRow() - Method in class hep.aida.ref.tuple.ChainedTuple
Get the current row.
getRow(int) - Method in class jhplot.PND
Return a specific row as array
getRow(int) - Method in class jhplot.PNI
Return a specific row as array
getRow(int) - Method in class jminhep.cluster.DataHolder
Get DataPoint at the position n
getRow(int) - Method in class org.apache.commons.math.linear.AbstractFieldMatrix
Returns the entries in row number row as an array.
getRow(int) - Method in class org.apache.commons.math.linear.AbstractRealMatrix
Returns the entries in row number row as an array.
getRow(int) - Method in interface org.apache.commons.math.linear.BigMatrix
Deprecated. Returns the entries in row number row as an array.
getRow(int) - Method in class org.apache.commons.math.linear.BigMatrixImpl
Deprecated. Returns the entries in row number row as an array.
getRow(int) - Method in class org.apache.commons.math.linear.BlockFieldMatrix
Returns the entries in row number row as an array.
getRow(int) - Method in class org.apache.commons.math.linear.BlockRealMatrix
Returns the entries in row number row as an array.
getRow(int) - Method in interface org.apache.commons.math.linear.FieldMatrix
Returns the entries in row number row as an array.
getRow(int) - Method in interface org.apache.commons.math.linear.RealMatrix
Returns the entries in row number row as an array.
getRowAsDoubleArray(int) - Method in interface org.apache.commons.math.linear.BigMatrix
Deprecated. Returns the entries in row number row as an array of double values.
getRowAsDoubleArray(int) - Method in class org.apache.commons.math.linear.BigMatrixImpl
Deprecated. Returns the entries in row number row as an array of double values.
getRowCopy(double[][], int) - Static method in class jhplot.math.DoubleArray
Extract a row from a matrix.
getRowCopy(int[][], int) - Static method in class jhplot.math.IntegerArray
 
getRowDimension() - Method in class org.apache.commons.math.linear.AbstractFieldMatrix
Returns the number of rows in the matrix.
getRowDimension() - Method in class org.apache.commons.math.linear.AbstractRealMatrix
Returns the number of rows in the matrix.
getRowDimension() - Method in interface org.apache.commons.math.linear.AnyMatrix
Returns the number of rows in the matrix.
getRowDimension() - Method in class org.apache.commons.math.linear.Array2DRowFieldMatrix
Returns the number of rows in the matrix.
getRowDimension() - Method in class org.apache.commons.math.linear.Array2DRowRealMatrix
Returns the number of rows in the matrix.
getRowDimension() - Method in class org.apache.commons.math.linear.BigMatrixImpl
Deprecated. Returns the number of rows in the matrix.
getRowDimension() - Method in class org.apache.commons.math.linear.BlockFieldMatrix
Returns the number of rows in the matrix.
getRowDimension() - Method in class org.apache.commons.math.linear.BlockRealMatrix
Returns the number of rows in the matrix.
getRowDimension() - Method in class org.apache.commons.math.linear.OpenMapRealMatrix
Returns the number of rows in the matrix.
getRowDimension() - Method in class org.apache.commons.math.linear.RealMatrixImpl
Deprecated. Returns the number of rows in the matrix.
getRowDimension() - Method in class org.apache.commons.math.linear.SparseFieldMatrix
Returns the number of rows in the matrix.
getRowMatrix(int) - Method in class org.apache.commons.math.linear.AbstractFieldMatrix
Returns the entries in row number row as a row matrix.
getRowMatrix(int) - Method in class org.apache.commons.math.linear.AbstractRealMatrix
Returns the entries in row number row as a row matrix.
getRowMatrix(int) - Method in interface org.apache.commons.math.linear.BigMatrix
Deprecated. Returns the entries in row number row as a row matrix.
getRowMatrix(int) - Method in class org.apache.commons.math.linear.BigMatrixImpl
Deprecated. Returns the entries in row number row as a row matrix.
getRowMatrix(int) - Method in class org.apache.commons.math.linear.BlockFieldMatrix
Returns the entries in row number row as a row matrix.
getRowMatrix(int) - Method in class org.apache.commons.math.linear.BlockRealMatrix
Returns the entries in row number row as a row matrix.
getRowMatrix(int) - Method in interface org.apache.commons.math.linear.FieldMatrix
Returns the entries in row number row as a row matrix.
getRowMatrix(int) - Method in interface org.apache.commons.math.linear.RealMatrix
Returns the entries in row number row as a row matrix.
getRowP0D(int) - Method in class jhplot.PND
Return a specific row as P0D
getRowP0D(int) - Method in class jhplot.PNI
Return a specific row as P0D
getRows(String, int, int) - Method in class jhplot.PND
Get rows : min is inxluded, max is not;
getRows(String, int, int) - Method in class jhplot.PNI
Get rows : min is inxluded, max is not;
getRowsCopy(double[][], int...) - Static method in class jhplot.math.DoubleArray
Extract specific rows from a matrix.
getRowsCopy(int[][], int...) - Static method in class jhplot.math.IntegerArray
 
getRowsRangeCopy(double[][], int, int) - Static method in class jhplot.math.DoubleArray
Extract a range of rows from a matrix.
getRowsRangeCopy(int[][], int, int) - Static method in class jhplot.math.IntegerArray
 
getRowVector(int) - Method in class org.apache.commons.math.linear.AbstractFieldMatrix
Returns the entries in row number row as a vector.
getRowVector(int) - Method in class org.apache.commons.math.linear.AbstractRealMatrix
Returns the entries in row number row as a vector.
getRowVector(int) - Method in class org.apache.commons.math.linear.BlockFieldMatrix
Returns the entries in row number row as a vector.
getRowVector(int) - Method in class org.apache.commons.math.linear.BlockRealMatrix
Returns the entries in row number row as a vector.
getRowVector(int) - Method in interface org.apache.commons.math.linear.FieldMatrix
Returns the entries in row number row as a vector.
getRowVector(int) - Method in interface org.apache.commons.math.linear.RealMatrix
Returns the entries in row number row as a vector.
getRSquare() - Method in class org.apache.commons.math.stat.regression.SimpleRegression
Returns the coefficient of determination, usually denoted r-square.
getRule() - Method in class jhplot.HCellular
Get current rule.
getRules() - Method in class jhplot.HCellular
Get all available rules
getRunNumber() - Method in class jhplot.HCellular
Returns the run number
getS() - Method in class jhplot.math.SingularValueDecomposition
Return the diagonal matrix of singular values
getS() - Method in interface org.apache.commons.math.linear.SingularValueDecomposition
Returns the diagonal matrix Σ of the decomposition.
getS() - Method in class org.apache.commons.math.linear.SingularValueDecompositionImpl
Returns the diagonal matrix Σ of the decomposition.
getSafety() - Method in class org.apache.commons.math.ode.MultistepIntegrator
Get the safety factor for stepsize control.
getSafety() - Method in class org.apache.commons.math.ode.nonstiff.EmbeddedRungeKuttaIntegrator
Get the safety factor for stepsize control.
getSampleSize() - Method in class jhplot.math.num.pdf.Hypergeometric
Access the sample size.
getSampleSize() - Method in interface org.apache.commons.math.distribution.HypergeometricDistribution
Access the sample size.
getSampleSize() - Method in class org.apache.commons.math.distribution.HypergeometricDistributionImpl
Access the sample size.
getSampleStats() - Method in interface org.apache.commons.math.random.EmpiricalDistribution
Returns a StatisticalSummary describing this distribution.
getSampleStats() - Method in class org.apache.commons.math.random.EmpiricalDistributionImpl
Returns a StatisticalSummary describing this distribution.
getScale() - Method in class jhplot.math.num.pdf.Cauchy
Access the scale parameter.
getScale() - Method in class jhplot.math.num.pdf.Laplace
Access the scale.
getScale() - Method in class jhplot.math.num.pdf.Logistic
Access the scale parameter.
getScale() - Method in class jhplot.math.num.pdf.Rayleigh
Access the scale parameter.
getScale() - Method in class jhplot.math.num.pdf.Weibull
Access the scale parameter.
getScale() - Method in interface org.apache.commons.math.distribution.CauchyDistribution
Access the scale parameter.
getScale() - Method in class org.apache.commons.math.distribution.CauchyDistributionImpl
Access the scale parameter.
getScale() - Method in interface org.apache.commons.math.distribution.WeibullDistribution
Access the scale parameter.
getScale() - Method in class org.apache.commons.math.distribution.WeibullDistributionImpl
Access the scale parameter.
getScale() - Method in class org.apache.commons.math.linear.BigMatrixImpl
Deprecated. Sets the scale for division operations.
getScale() - Method in class org.apache.commons.math.util.BigReal
Sets the scale for division operations.
getScaledPosition(double, double) - Method in class jhplot.shapes.HShape
Scale the positions
getScaling() - Method in class jhplot.HPlot3D
Get the scaling
getSecond() - Method in class org.apache.commons.math.genetics.ChromosomePair
Access the second chromosome.
getSecondMoment() - Method in class org.apache.commons.math.stat.descriptive.AggregateSummaryStatistics
Returns a statistic related to the Second Central Moment.
getSecondMoment() - Method in class org.apache.commons.math.stat.descriptive.SummaryStatistics
Returns a statistic related to the Second Central Moment.
getSeeds() - Method in class jminhep.cluster.Partition
Get seeds
getSelectionPolicy() - Method in class org.apache.commons.math.genetics.GeneticAlgorithm
Returns the selection policy.
getSensitivity() - Method in class jhpro.stat.limit.StatConfidence
Get sensitivity
getSensitivityError() - Method in class jhpro.stat.limit.StatConfidence
Get error on sensitivity
getSeparation() - Method in class jhplot.HKey
Return vertical separation between different keys.
getSeparator() - Method in class org.apache.commons.math.geometry.Vector3DFormat
Get the format separator between components.
getSeparator() - Method in class org.apache.commons.math.linear.RealVectorFormat
Get the format separator between components.
getSettings(XMLWrite) - Method in class jhplot.shapes.HShape
Returns the settings of the primitive in a XML instance.
getShadow() - Method in class jhplot.HPlot
Returns whether or not a shadow will be drawn at the panel border.
getShadowColor() - Method in class jhplot.jadraw.JaTextBox
Get color of shadow
getShadowXOffset() - Method in class jhplot.jadraw.JaTextBox
Get shadow offset in X
getShadowYOffset() - Method in class jhplot.jadraw.JaTextBox
Get shadow offset in Y
getShape() - Method in class jhplot.math.num.pdf.Weibull
Access the shape parameter.
getShape() - Method in interface org.apache.commons.math.distribution.WeibullDistribution
Access the shape parameter.
getShape() - Method in class org.apache.commons.math.distribution.WeibullDistributionImpl
Access the shape parameter.
getShort(int) - Method in class hep.aida.ref.tuple.AbstractTuple
 
getShortProperty(int) - Method in class hep.aida.ref.tuple.JELTupleProvider
 
getSigma() - Method in class org.apache.commons.math.random.ValueServer
Getter for property sigma.
getSignal() - Method in class jhpro.stat.DataSource
Get data for signal
getSignificance() - Method in class org.apache.commons.math.stat.regression.SimpleRegression
Returns the significance level of the slope (equiv) correlation.
getSingularValues() - Method in class jhplot.math.SingularValueDecomposition
Return the one-dimensional array of singular values
getSingularValues() - Method in interface org.apache.commons.math.linear.SingularValueDecomposition
Returns the diagonal elements of the matrix Σ of the decomposition.
getSingularValues() - Method in class org.apache.commons.math.linear.SingularValueDecompositionImpl
Returns the diagonal elements of the matrix Σ of the decomposition.
getSize() - Method in class jhplot.jadraw.JaObject
Returns the width and height of this object.
getSize() - Method in class jhplot.math.num.DoubleArray
Access the size of this array.
getSize() - Method in class jhpro.stat.DataKeeper
Get the size of container
getSize() - Method in class jminhep.cluster.DataHolder
Get size of the data holder
getSize() - Method in class org.apache.commons.math.util.MultidimensionalCounter
Get the total number of elements.
getSizes() - Method in class org.apache.commons.math.util.MultidimensionalCounter
Get the number of multidimensional counter slots in each dimension.
getSizeX() - Method in class jhplot.GHMargin
Get the size of this margin panel in X
getSizeX() - Method in class jhplot.GHPanel
Get the width of the main panel which keeps all margins and the central panel (in pixels)
getSizeX() - Method in class jhplot.HPlotJa
get X size
getSizeY() - Method in class jhplot.GHMargin
Get the size of this margin in Y
getSizeY() - Method in class jhplot.GHPanel
Get the height of the main panel which keeps all margins and the central panel (in pixels)
getSizeY() - Method in class jhplot.HPlotJa
get Y size
getSkewness() - Method in class org.apache.commons.math.stat.descriptive.DescriptiveStatistics
Returns the skewness of the available values.
getSkewnessImpl() - Method in class org.apache.commons.math.stat.descriptive.DescriptiveStatistics
Returns the currently configured skewness implementation.
getSlicesCardinals() - Method in class jhplot.math.Slicing
 
getSlicesCenters() - Method in class jhplot.math.Slicing
 
getSlicesIndexes() - Method in class jhplot.math.Slicing
 
getSlicesWidths() - Method in class jhplot.math.Slicing
 
getSlicingMatrix() - Method in class jhplot.math.Slicing
 
getSlope() - Method in class jhplot.stat.LinReg
Get slope
getSlope() - Method in class jhplot.stat.LinRegWeighted
Get slope
getSlope() - Method in class org.apache.commons.math.stat.regression.SimpleRegression
Returns the slope of the estimated regression line.
getSlopeConfidenceInterval() - Method in class org.apache.commons.math.stat.regression.SimpleRegression
Returns the half-width of a 95% confidence interval for the slope estimate.
getSlopeConfidenceInterval(double) - Method in class org.apache.commons.math.stat.regression.SimpleRegression
Returns the half-width of a (100-100*alpha)% confidence interval for the slope estimate.
getSlopeError() - Method in class jhplot.stat.LinReg
Get the standard error on slope
getSlopeError() - Method in class jhplot.stat.LinRegWeighted
Get the standard error on slope
getSlopeStdErr() - Method in class org.apache.commons.math.stat.regression.SimpleRegression
Returns the standard error of the slope estimate, usually denoted s(b1).
getSolver() - Method in interface org.apache.commons.math.linear.CholeskyDecomposition
Get a solver for finding the A × X = B solution in least square sense.
getSolver() - Method in class org.apache.commons.math.linear.CholeskyDecompositionImpl
Get a solver for finding the A × X = B solution in least square sense.
getSolver() - Method in interface org.apache.commons.math.linear.EigenDecomposition
Get a solver for finding the A × X = B solution in exact linear sense.
getSolver() - Method in class org.apache.commons.math.linear.EigenDecompositionImpl
Get a solver for finding the A × X = B solution in exact linear sense.
getSolver() - Method in interface org.apache.commons.math.linear.FieldLUDecomposition
Get a solver for finding the A × X = B solution in exact linear sense.
getSolver() - Method in class org.apache.commons.math.linear.FieldLUDecompositionImpl
Get a solver for finding the A × X = B solution in exact linear sense.
getSolver() - Method in interface org.apache.commons.math.linear.LUDecomposition
Get a solver for finding the A × X = B solution in exact linear sense.
getSolver() - Method in class org.apache.commons.math.linear.LUDecompositionImpl
Get a solver for finding the A × X = B solution in exact linear sense.
getSolver() - Method in interface org.apache.commons.math.linear.QRDecomposition
Get a solver for finding the A × X = B solution in least square sense.
getSolver() - Method in class org.apache.commons.math.linear.QRDecompositionImpl
Get a solver for finding the A × X = B solution in least square sense.
getSolver() - Method in interface org.apache.commons.math.linear.SingularValueDecomposition
Get a solver for finding the A × X = B solution in least square sense.
getSolver() - Method in class org.apache.commons.math.linear.SingularValueDecompositionImpl
Get a solver for finding the A × X = B solution in least square sense.
getSortedValues() - Method in class org.apache.commons.math.stat.descriptive.DescriptiveStatistics
Returns the current set of values in an array of double primitives, sorted in ascending order.
getSource() - Method in interface hep.aida.ref.tuple.FTupleEvent
 
getSourceString() - Method in class org.apache.commons.math.exception.util.DummyLocalizable
Get the source (non-localized) string.
getSourceString() - Method in interface org.apache.commons.math.exception.util.Localizable
Get the source (non-localized) string.
getSourceString() - Method in enum org.apache.commons.math.exception.util.LocalizedFormats
Get the source (non-localized) string.
getSpaceparity() - Method in class hephysics.particle.HEParticle
get P space parity
getSparcity() - Method in class org.apache.commons.math.linear.OpenMapRealVector
Deprecated. as of 2.2 replaced by the correctly spelled OpenMapRealVector.getSparsity()
getSparsity() - Method in class org.apache.commons.math.linear.OpenMapRealVector
 
getSpecificPattern() - Method in exception org.apache.commons.math.exception.MathIllegalArgumentException
Gets the localizable pattern used to build the specific part of the message of this throwable.
getSpecificPattern() - Method in exception org.apache.commons.math.exception.MathIllegalStateException
Gets the localizable pattern used to build the specific part of the message of this throwable.
getSpecificPattern() - Method in interface org.apache.commons.math.exception.MathThrowable
Gets the localizable pattern used to build the specific part of the message of this throwable.
getSpecificPattern() - Method in exception org.apache.commons.math.exception.MathUnsupportedOperationException
Gets the localizable pattern used to build the specific part of the message of this throwable.
getSpecificPattern() - Method in exception org.apache.commons.math.MathException
Gets the localizable pattern used to build the specific part of the message of this throwable.
getSpecificPattern() - Method in exception org.apache.commons.math.MathRuntimeException
Gets the localizable pattern used to build the specific part of the message of this throwable.
getSpin() - Method in class hephysics.particle.HEParticle
Get J total spin
getSqr2() - Method in class org.apache.commons.math.dfp.DfpField
Get the constant √2.
getSqr2Reciprocal() - Method in class org.apache.commons.math.dfp.DfpField
Get the constant √2 / 2.
getSqr2Split() - Method in class org.apache.commons.math.dfp.DfpField
Get the constant √2 split in two pieces.
getSqr3() - Method in class org.apache.commons.math.dfp.DfpField
Get the constant √3.
getSqr3Reciprocal() - Method in class org.apache.commons.math.dfp.DfpField
Get the constant √3 / 3.
getSSE() - Method in class jhplot.stat.LinReg
Get SSE value
getSSR() - Method in class jhplot.stat.LinReg
Ger SSR value
getStandardDeviation() - Method in class jhplot.math.num.pdf.LogNormal
Access the standard deviation.
getStandardDeviation() - Method in class jhplot.math.num.pdf.Normal
Access the standard deviation.
getStandardDeviation() - Method in interface org.apache.commons.math.distribution.NormalDistribution
Access the standard deviation.
getStandardDeviation() - Method in class org.apache.commons.math.distribution.NormalDistributionImpl
Access the standard deviation.
getStandardDeviation() - Method in class org.apache.commons.math.stat.descriptive.AggregateSummaryStatistics
Returns the standard deviation of the available values.
getStandardDeviation() - Method in class org.apache.commons.math.stat.descriptive.DescriptiveStatistics
Returns the standard deviation of the available values.
getStandardDeviation() - Method in class org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics
Returns an array whose ith entry is the standard deviation of the ith entries of the arrays that have been added using MultivariateSummaryStatistics.addValue(double[])
getStandardDeviation() - Method in interface org.apache.commons.math.stat.descriptive.StatisticalMultivariateSummary
Returns an array whose ith entry is the standard deviation of the ith entries of the arrays that correspond to each multivariate sample
getStandardDeviation() - Method in interface org.apache.commons.math.stat.descriptive.StatisticalSummary
Returns the standard deviation of the available values.
getStandardDeviation() - Method in class org.apache.commons.math.stat.descriptive.StatisticalSummaryValues
 
getStandardDeviation() - Method in class org.apache.commons.math.stat.descriptive.SummaryStatistics
Returns the standard deviation of the values that have been added.
getStandardDeviation() - Method in class org.apache.commons.math.stat.descriptive.SynchronizedDescriptiveStatistics
Returns the standard deviation of the available values.
getStandardDeviation() - Method in class org.apache.commons.math.stat.descriptive.SynchronizedMultivariateSummaryStatistics
Returns an array whose ith entry is the standard deviation of the ith entries of the arrays that have been added using MultivariateSummaryStatistics.addValue(double[])
getStandardDeviation() - Method in class org.apache.commons.math.stat.descriptive.SynchronizedSummaryStatistics
Returns the standard deviation of the values that have been added.
getStangle() - Method in class jhplot.jadraw.JaArcObject
Returns the stangle property of this arc object.
getStarterIntegrator() - Method in class org.apache.commons.math.ode.MultistepIntegrator
Get the starter integrator.
getStartValue() - Method in class org.apache.commons.math.optimization.univariate.AbstractUnivariateRealOptimizer
 
getStat() - Method in class jhplot.H1D
Calculate complete statistics for this histogram.
getStat() - Method in class jhplot.H2D
Calculate complete statistics for this histogram for the X or Y Unlike other methods (like mean or rms), it performs calculations on the existing histogram, thus the method is somewhat slow.
getStat() - Method in class jhplot.P0D
Get complete statistics for this container.
getStat() - Method in class jhplot.P0I
Get complete statistics for this container.
getStat(int) - Method in class jhplot.P1D
Get complete statistics for this container for a given axis.
getStatistic() - Method in class jhpro.stat.ConfidenceLevel
 
getStatistics(H1D) - Method in class jhplot.HPlotJa
Get statistics in form of strings
getStatistics(P1D) - Method in class jhplot.HPlotJa
Get strings representing the statistics for the given object
getStatistics() - Method in class jhplot.jadraw.JaAxes
Get strings representing the statistics of the object
getStatParameters() - Method in class jhplot.H1D
Get statistical parameters of a Histogram as a list of strings
getStatString() - Method in class jhplot.P0D
Returns a string representing statistics.
getStatString() - Method in class jhplot.P0I
Get string with all statistics
getStatus() - Method in class hephysics.particle.HEParticle
Status Monte Carlo code
getStd(int) - Method in class jhplot.stat.PCA
Get standard deviations
getStepHandlers() - Method in class org.apache.commons.math.ode.AbstractIntegrator
Get all the step handlers that have been added to the integrator.
getStepHandlers() - Method in class org.apache.commons.math.ode.jacobians.FirstOrderIntegratorWithJacobians
Deprecated. Get all the step handlers that have been added to the integrator.
getStepHandlers() - Method in interface org.apache.commons.math.ode.ODEIntegrator
Get all the step handlers that have been added to the integrator.
getStirlingError(double) - Static method in class jhplot.math.num.pdf.SaddlePoint
Compute the error of Stirling's series at the given value.
getStrict() - Method in exception org.apache.commons.math.exception.NonMonotonousSequenceException
 
getString(int) - Method in class hep.aida.ref.tuple.AbstractTuple
 
getString() - Method in class jhplot.GHMargin
Get the title of this panel
getStringPositionX() - Method in class jhplot.GHMargin
Get the text position in X relative to widths
getStringPositionY() - Method in class jhplot.GHMargin
Get the text position in Y relative to the frame height.
getStringProperty(int) - Method in class hep.aida.ref.tuple.JELTupleProvider
 
getStringValues() - Method in class jhplot.P0D
Return all values as a string.
getStringValues() - Method in class jhplot.P0I
Return all values as a string.
getStroke() - Method in class jhplot.jadraw.JaArcObject
Returns the stroke property of this arc object.
getStroke() - Method in class jhplot.jadraw.JaFillObject
Returns the stroke (line width) of this object.
getStroke() - Method in class jhplot.jadraw.JaLineObject
Returns the stroke property of this line object.
getStroke() - Method in class jhplot.jadraw.JaLoopObject
Returns the stroke property of this loop object.
getStroke() - Method in class jhplot.jadraw.JaVertex
Returns the stroke property of this line object.
getStroke() - Method in class jhplot.shapes.HShape
Get the Stroke to a specific value
getStyle() - Method in class jhplot.HPlot2D
Get current style
getSubMatrix(int, int, int, int) - Method in class org.apache.commons.math.linear.AbstractFieldMatrix
Gets a submatrix.
getSubMatrix(int[], int[]) - Method in class org.apache.commons.math.linear.AbstractFieldMatrix
Gets a submatrix.
getSubMatrix(int, int, int, int) - Method in class org.apache.commons.math.linear.AbstractRealMatrix
Gets a submatrix.
getSubMatrix(int[], int[]) - Method in class org.apache.commons.math.linear.AbstractRealMatrix
Gets a submatrix.
getSubMatrix(int, int, int, int) - Method in interface org.apache.commons.math.linear.BigMatrix
Deprecated. Gets a submatrix.
getSubMatrix(int[], int[]) - Method in interface org.apache.commons.math.linear.BigMatrix
Deprecated. Gets a submatrix.
getSubMatrix(int, int, int, int) - Method in class org.apache.commons.math.linear.BigMatrixImpl
Deprecated. Gets a submatrix.
getSubMatrix(int[], int[]) - Method in class org.apache.commons.math.linear.BigMatrixImpl
Deprecated. Gets a submatrix.
getSubMatrix(int, int, int, int) - Method in class org.apache.commons.math.linear.BlockFieldMatrix
Gets a submatrix.
getSubMatrix(int, int, int, int) - Method in class org.apache.commons.math.linear.BlockRealMatrix
Gets a submatrix.
getSubMatrix(int, int, int, int) - Method in interface org.apache.commons.math.linear.FieldMatrix
Gets a submatrix.
getSubMatrix(int[], int[]) - Method in interface org.apache.commons.math.linear.FieldMatrix
Gets a submatrix.
getSubMatrix(int, int, int, int) - Method in interface org.apache.commons.math.linear.RealMatrix
Gets a submatrix.
getSubMatrix(int[], int[]) - Method in interface org.apache.commons.math.linear.RealMatrix
Gets a submatrix.
getSubMatrixRangeCopy(double[][], int, int, int, int) - Static method in class jhplot.math.DoubleArray
Carve out a submatrix from the input matrix and return a copy.
getSubMatrixRangeCopy(int[][], int, int, int, int) - Static method in class jhplot.math.IntegerArray
 
getSubTicksNumber(int) - Method in class jhplot.jadraw.JaAxes
Get the number of sub-ticks
getSubTicksSize(int) - Method in class jhplot.jadraw.JaAxes
Get sub-tick size
getSubTicLength(int) - Method in class jhplot.HPlot
Returns the length of the sub-ticks.
getSubTicNumber(int) - Method in class jhplot.HPlot
Get the number of subticks for a given axis
getSubVector(int, int) - Method in class org.apache.commons.math.linear.ArrayFieldVector
Get a subvector from consecutive elements.
getSubVector(int, int) - Method in class org.apache.commons.math.linear.ArrayRealVector
Get a subvector from consecutive elements.
getSubVector(int, int) - Method in interface org.apache.commons.math.linear.FieldVector
Get a subvector from consecutive elements.
getSubVector(int, int) - Method in class org.apache.commons.math.linear.OpenMapRealVector
Get a subvector from consecutive elements.
getSubVector(int, int) - Method in interface org.apache.commons.math.linear.RealVector
Get a subvector from consecutive elements.
getSubVector(int, int) - Method in class org.apache.commons.math.linear.SparseFieldVector
Get a subvector from consecutive elements.
getSuffix() - Method in class org.apache.commons.math.geometry.Vector3DFormat
Get the format suffix.
getSuffix() - Method in class org.apache.commons.math.linear.RealVectorFormat
Get the format suffix.
getSum() - Method in class jhplot.P0D
Returns the sum of all values.
getSum() - Method in class jhplot.P0I
Returns the sum of all values.
getSum() - Method in class org.apache.commons.math.stat.descriptive.AggregateSummaryStatistics
Returns the sum of the values that have been added to Univariate.
getSum() - Method in class org.apache.commons.math.stat.descriptive.DescriptiveStatistics
Returns the sum of the values that have been added to Univariate.
getSum() - Method in class org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics
Returns an array whose ith entry is the sum of the ith entries of the arrays that have been added using MultivariateSummaryStatistics.addValue(double[])
getSum() - Method in interface org.apache.commons.math.stat.descriptive.StatisticalMultivariateSummary
Returns an array whose ith entry is the sum of the ith entries of the arrays that correspond to each multivariate sample
getSum() - Method in interface org.apache.commons.math.stat.descriptive.StatisticalSummary
Returns the sum of the values that have been added to Univariate.
getSum() - Method in class org.apache.commons.math.stat.descriptive.StatisticalSummaryValues
 
getSum() - Method in class org.apache.commons.math.stat.descriptive.SummaryStatistics
Returns the sum of the values that have been added
getSum() - Method in class org.apache.commons.math.stat.descriptive.SynchronizedMultivariateSummaryStatistics
Returns an array whose ith entry is the sum of the ith entries of the arrays that have been added using MultivariateSummaryStatistics.addValue(double[])
getSum() - Method in class org.apache.commons.math.stat.descriptive.SynchronizedSummaryStatistics
Returns the sum of the values that have been added
getSumFreq() - Method in class org.apache.commons.math.stat.Frequency
Returns the sum of all frequencies.
getSumImpl() - Method in class org.apache.commons.math.stat.descriptive.DescriptiveStatistics
Returns the currently configured sum implementation.
getSumImpl() - Method in class org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics
Returns the currently configured Sum implementation
getSumImpl() - Method in class org.apache.commons.math.stat.descriptive.SummaryStatistics
Returns the currently configured Sum implementation
getSumImpl() - Method in class org.apache.commons.math.stat.descriptive.SynchronizedMultivariateSummaryStatistics
Returns the currently configured Sum implementation
getSumImpl() - Method in class org.apache.commons.math.stat.descriptive.SynchronizedSummaryStatistics
Returns the currently configured Sum implementation
getSumLog() - Method in class org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics
Returns an array whose ith entry is the sum of logs of the ith entries of the arrays that have been added using MultivariateSummaryStatistics.addValue(double[])
getSumLog() - Method in interface org.apache.commons.math.stat.descriptive.StatisticalMultivariateSummary
Returns an array whose ith entry is the sum of logs of the ith entries of the arrays that correspond to each multivariate sample
getSumLog() - Method in class org.apache.commons.math.stat.descriptive.SynchronizedMultivariateSummaryStatistics
Returns an array whose ith entry is the sum of logs of the ith entries of the arrays that have been added using MultivariateSummaryStatistics.addValue(double[])
getSumLogImpl() - Method in class org.apache.commons.math.stat.descriptive.moment.GeometricMean
Returns the currently configured sum of logs implementation
getSumLogImpl() - Method in class org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics
Returns the currently configured sum of logs implementation
getSumLogImpl() - Method in class org.apache.commons.math.stat.descriptive.SummaryStatistics
Returns the currently configured sum of logs implementation
getSumLogImpl() - Method in class org.apache.commons.math.stat.descriptive.SynchronizedMultivariateSummaryStatistics
Returns the currently configured sum of logs implementation
getSumLogImpl() - Method in class org.apache.commons.math.stat.descriptive.SynchronizedSummaryStatistics
Returns the currently configured sum of logs implementation
getSummary() - Method in class jhplot.stat.PCA
Return projection vectors and information per projection vector.
getSummary() - Method in class jhplot.stat.StatShape
Return all shape parameters
getSummary() - Method in class org.apache.commons.math.stat.descriptive.AggregateSummaryStatistics
Return a StatisticalSummaryValues instance reporting current aggregate statistics.
getSummary() - Method in class org.apache.commons.math.stat.descriptive.SummaryStatistics
Return a StatisticalSummaryValues instance reporting current statistics.
getSummary() - Method in class org.apache.commons.math.stat.descriptive.SynchronizedSummaryStatistics
Return a StatisticalSummaryValues instance reporting current statistics.
getSumOfCrossProducts() - Method in class org.apache.commons.math.stat.regression.SimpleRegression
Returns the sum of crossproducts, xi*yi.
getSumOfLogs() - Method in class org.apache.commons.math.stat.descriptive.AggregateSummaryStatistics
Returns the sum of the logs of all the aggregated data.
getSumOfLogs() - Method in class org.apache.commons.math.stat.descriptive.SummaryStatistics
Returns the sum of the logs of the values that have been added.
getSumsq() - Method in class org.apache.commons.math.stat.descriptive.AggregateSummaryStatistics
Returns the sum of the squares of all the aggregated data.
getSumsq() - Method in class org.apache.commons.math.stat.descriptive.DescriptiveStatistics
Returns the sum of the squares of the available values.
getSumSq() - Method in class org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics
Returns an array whose ith entry is the sum of squares of the ith entries of the arrays that have been added using MultivariateSummaryStatistics.addValue(double[])
getSumSq() - Method in interface org.apache.commons.math.stat.descriptive.StatisticalMultivariateSummary
Returns an array whose ith entry is the sum of squares of the ith entries of the arrays that correspond to each multivariate sample
getSumsq() - Method in class org.apache.commons.math.stat.descriptive.SummaryStatistics
Returns the sum of the squares of the values that have been added.
getSumSq() - Method in class org.apache.commons.math.stat.descriptive.SynchronizedMultivariateSummaryStatistics
Returns an array whose ith entry is the sum of squares of the ith entries of the arrays that have been added using MultivariateSummaryStatistics.addValue(double[])
getSumsq() - Method in class org.apache.commons.math.stat.descriptive.SynchronizedSummaryStatistics
Returns the sum of the squares of the values that have been added.
getSumsqImpl() - Method in class org.apache.commons.math.stat.descriptive.DescriptiveStatistics
Returns the currently configured sum of squares implementation.
getSumsqImpl() - Method in class org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics
Returns the currently configured sum of squares implementation
getSumsqImpl() - Method in class org.apache.commons.math.stat.descriptive.SummaryStatistics
Returns the currently configured sum of squares implementation
getSumsqImpl() - Method in class org.apache.commons.math.stat.descriptive.SynchronizedMultivariateSummaryStatistics
Returns the currently configured sum of squares implementation
getSumsqImpl() - Method in class org.apache.commons.math.stat.descriptive.SynchronizedSummaryStatistics
Returns the currently configured sum of squares implementation
getSumSquaredErrors() - Method in class org.apache.commons.math.stat.regression.SimpleRegression
Returns the sum of squared errors (SSE) associated with the regression model.
getSumXSquared() - Method in class jhplot.stat.LinReg
Get sun of the square
getSupportLowerBound() - Method in class org.apache.commons.math.distribution.BetaDistributionImpl
Returns the lower bound of the support for this distribution.
getSupportLowerBound() - Method in class org.apache.commons.math.distribution.BinomialDistributionImpl
Returns the lower bound of the support for the distribution.
getSupportLowerBound() - Method in class org.apache.commons.math.distribution.CauchyDistributionImpl
Returns the lower bound of the support for this distribution.
getSupportLowerBound() - Method in class org.apache.commons.math.distribution.ChiSquaredDistributionImpl
Returns the lower bound of the support for the distribution.
getSupportLowerBound() - Method in class org.apache.commons.math.distribution.ExponentialDistributionImpl
Returns the lower bound of the support for the distribution.
getSupportLowerBound() - Method in class org.apache.commons.math.distribution.FDistributionImpl
Returns the lower bound of the support for the distribution.
getSupportLowerBound() - Method in class org.apache.commons.math.distribution.GammaDistributionImpl
Returns the upper bound of the support for the distribution.
getSupportLowerBound() - Method in class org.apache.commons.math.distribution.HypergeometricDistributionImpl
Returns the lower bound for the support for the distribution.
getSupportLowerBound() - Method in class org.apache.commons.math.distribution.NormalDistributionImpl
Returns the lower bound of the support for the distribution.
getSupportLowerBound() - Method in class org.apache.commons.math.distribution.PascalDistributionImpl
Returns the lower bound of the support for the distribution.
getSupportLowerBound() - Method in class org.apache.commons.math.distribution.PoissonDistributionImpl
Returns the lower bound of the support for the distribution.
getSupportLowerBound() - Method in class org.apache.commons.math.distribution.TDistributionImpl
Returns the lower bound of the support for the distribution.
getSupportLowerBound() - Method in class org.apache.commons.math.distribution.WeibullDistributionImpl
Returns the lower bound of the support for the distribution.
getSupportLowerBound() - Method in class org.apache.commons.math.distribution.ZipfDistributionImpl
Returns the lower bound of the support for the distribution.
getSupportUpperBound() - Method in class org.apache.commons.math.distribution.BetaDistributionImpl
Returns the upper bound of the support for this distribution.
getSupportUpperBound() - Method in class org.apache.commons.math.distribution.BinomialDistributionImpl
Returns the upper bound of the support for the distribution.
getSupportUpperBound() - Method in class org.apache.commons.math.distribution.CauchyDistributionImpl
Returns the upper bound of the support for this distribution.
getSupportUpperBound() - Method in class org.apache.commons.math.distribution.ChiSquaredDistributionImpl
Returns the upper bound for the support for the distribution.
getSupportUpperBound() - Method in class org.apache.commons.math.distribution.ExponentialDistributionImpl
Returns the upper bound of the support for the distribution.
getSupportUpperBound() - Method in class org.apache.commons.math.distribution.FDistributionImpl
Returns the upper bound of the support for the distribution.
getSupportUpperBound() - Method in class org.apache.commons.math.distribution.GammaDistributionImpl
Returns the upper bound of the support for the distribution.
getSupportUpperBound() - Method in class org.apache.commons.math.distribution.HypergeometricDistributionImpl
Returns the upper bound for the support of the distribution.
getSupportUpperBound() - Method in class org.apache.commons.math.distribution.NormalDistributionImpl
Returns the upper bound of the support for the distribution.
getSupportUpperBound() - Method in class org.apache.commons.math.distribution.PascalDistributionImpl
Returns the upper bound of the support for the distribution.
getSupportUpperBound() - Method in class org.apache.commons.math.distribution.PoissonDistributionImpl
Returns the upper bound of the support for the distribution.
getSupportUpperBound() - Method in class org.apache.commons.math.distribution.TDistributionImpl
Returns the upper bound of the support for the distribution.
getSupportUpperBound() - Method in class org.apache.commons.math.distribution.WeibullDistributionImpl
Returns the upper bound of the support for the distribution.
getSupportUpperBound() - Method in class org.apache.commons.math.distribution.ZipfDistributionImpl
Returns the upper bound of the support for the distribution.
getSurfaceModel() - Method in class jhplot.HPlot3D
Get current surface
getSxx() - Method in class jhplot.stat.LinReg
Get Sxx value: sumXsquared - sumX * sumX / n
getSymbol() - Method in class jhplot.DrawOptions
Get current symbol
getSymbol(DataArray) - Static method in class jhplot.HPlotJa
 
getSymbolColor() - Method in class jhplot.P2D
Get color attribute
getSymbolSize() - Method in class jhplot.P2D
Get size of the symbols
getSymm() - Method in class jhplot.jadraw.JaLineObject
Returns the symm property of this line object.
getSys(P1D[]) - Method in class jhplot.P1D
Return P1D array which contains 2nd level errors (or systematic errors) evaluated from an array of P1D data holders.
getSyy() - Method in class jhplot.stat.LinReg
Get SYY value: sumYsquared - sumY * sumY / n
getT() - Method in class hephysics.vec.HepLorentzVector
Get time (as t())
getText() - Method in class jhplot.HKey
Get the text of the label.
getText() - Method in class jhplot.HLabel
Get the text of the label.
getText() - Method in class jhplot.HLabelEq
Get the equation text of the label.
getText() - Method in class jhplot.HMLabel
Get text of the label.
getText() - Method in class jhplot.jadraw.JaKey
Returns the textString property of this text object.
getText() - Method in class jhplot.jadraw.JaText
Returns the textString property of this text object.
getText() - Method in class jhplot.jadraw.JaTextBox
Returns the textString property of this text object.
getText() - Method in interface jhplot.math.io.StringPrintable
 
getText() - Method in class jhplot.shapes.Text
Get a string with the text
getTextBottom() - Method in class jhplot.GHPanel
Get the text of bottom margin.
getTextBottomColor() - Method in class jhplot.GHPanel
Get the color of bottom margin for the text.
getTextBottomColorBack() - Method in class jhplot.GHPanel
Get the background color of bottom margin
getTextBottomFont() - Method in class jhplot.GHPanel
Get the font of bottom margin.
getTextLeft() - Method in class jhplot.GHPanel
Get the text of left margin.
getTextLeftColor() - Method in class jhplot.GHPanel
Get the color of bottom margin for the text.
getTextLeftColorBack() - Method in class jhplot.GHPanel
Get the background color of left margin
getTextLeftFont() - Method in class jhplot.GHPanel
Get the font of left margin.
getTextPosBottomX() - Method in class jhplot.GHPanel
Get the text position in X relative to widths for bottom margin
getTextPosBottomY() - Method in class jhplot.GHPanel
Get the text position in Y relative to widths for bottom margin
getTextPosLeftX() - Method in class jhplot.GHPanel
Get the text position in X relative to widths for left margin
getTextPosLeftY() - Method in class jhplot.GHPanel
Get the text position in Y relative to widths for left margin
getTextPosRightX() - Method in class jhplot.GHPanel
Get the text position in X relative to widths for right margin
getTextPosRightY() - Method in class jhplot.GHPanel
Get the text position in Y relative to widths for right margin
getTextPosTopX() - Method in class jhplot.GHPanel
Get the text position in X relative to widths for top margin
getTextPosTopY() - Method in class jhplot.GHPanel
Get the text position in Y relative to widths for top margin
getTextRight() - Method in class jhplot.GHPanel
Get text of right margin.
getTextRightColor() - Method in class jhplot.GHPanel
Get the color of right margin for the text.
getTextRightColorBack() - Method in class jhplot.GHPanel
Get the background color of right margin
getTextRightFont() - Method in class jhplot.GHPanel
Get the font of right margin.
getTextRotationBottom() - Method in class jhplot.GHPanel
Get the text rotation for bottom margin
getTextRotationLeft() - Method in class jhplot.GHPanel
Get the text rotation for left margin
getTextRotationRight() - Method in class jhplot.GHPanel
Get the text rotation for right margin
getTextRotationTop() - Method in class jhplot.GHPanel
Get the text rotation for top margin
getTextString() - Method in class jhplot.jadraw.JaLatexText
Returns the textString property of this text object.
getTextTop() - Method in class jhplot.GHPanel
Get text of top margin (title).
getTextTopColor() - Method in class jhplot.GHPanel
Get the color of top margin for the text.
getTextTopColorBack() - Method in class jhplot.GHPanel
Get the background color of top margin
getTextTopFont() - Method in class jhplot.GHPanel
Get the font of top margin
getTheoreticalValue() - Method in class org.apache.commons.math.estimation.WeightedMeasurement
Deprecated. Get the theoretical value expected for this measurement
getTicColor(int) - Method in class jhplot.HPlot
Returns the color used by the labels drawn at each tick.
getTicFont(int) - Method in class jhplot.HPlot
Returns the font used by the labels drawn at each tick.
getTicksNumber(int) - Method in class jhplot.jadraw.JaAxes
Get number of main ticks
getTicksSize(int) - Method in class jhplot.jadraw.JaAxes
Get subtick size
getTicLabel() - Method in class jhplot.jadraw.JaAxes
 
getTicLength(int) - Method in class jhplot.HPlot
Returns the length of the ticks.
getTicsMirror(int) - Method in class jhplot.HPlot
Returns whether or not we should draw ticks on the mirror axis.
getTicsRotate(int) - Method in class jhplot.HPlot
Returns whether or not we should rotate the ticks.
getTiesStrategy() - Method in class org.apache.commons.math.stat.ranking.NaturalRanking
Return the TiesStrategy
getTitle() - Method in class jhplot.DrawOptions
Get the title of an object
getTitle() - Method in class jhplot.F1D
Get a function title
getTitle() - Method in class jhplot.F2D
Get the title
getTitle() - Method in class jhplot.F3D
Get the title
getTitle() - Method in class jhplot.FND
Get the name of the function used for evaluation Same as getName().
getTitle() - Method in class jhplot.FPR
Get the title
getTitle() - Method in class jhplot.H1D
get Title of the histogram
getTitle() - Method in class jhplot.H2D
Get the title
getTitle() - Method in class jhplot.H3D
get Title of the histogram
getTitle() - Method in class jhplot.HProf1D
get Title of the histogram
getTitle() - Method in class jhplot.io.FileRoot
Get ROOT title
getTitle() - Method in class jhplot.P0D
Get a new title
getTitle() - Method in class jhplot.P0I
Get a new title
getTitle() - Method in class jhplot.P1D
Get a new title
getTitle() - Method in class jhplot.P2D
Get a new title
getTitle() - Method in class jhplot.P3D
Get a new title
getTitle() - Method in class jhplot.PND
Get a new title
getTitle() - Method in class jhplot.PNI
Get a new title
getTitle() - Method in class jhplot.SPlot
Get the title of the graph, or an empty string if there is none.
getTitle() - Method in class jhplot.VHolder
Get title of the container
getTitle() - Method in class jhpro.stat.DataKeeper
 
getTMax() - Method in class jhplot.HCellular
Returns used t_max
getTorus(String) - Static method in class jhplot.HCellular
 
getTotalSumSquares() - Method in class org.apache.commons.math.stat.regression.SimpleRegression
Returns the sum of squared deviations of the y values about their mean.
getTrace() - Method in class org.apache.commons.math.linear.AbstractFieldMatrix
Returns the trace of the matrix (the sum of the elements on the main diagonal).
getTrace() - Method in class org.apache.commons.math.linear.AbstractRealMatrix
Returns the trace of the matrix (the sum of the elements on the main diagonal).
getTrace() - Method in interface org.apache.commons.math.linear.BigMatrix
Deprecated. Returns the trace of the matrix (the sum of the elements on the main diagonal).
getTrace() - Method in class org.apache.commons.math.linear.BigMatrixImpl
Deprecated. Returns the trace of the matrix (the sum of the elements on the main diagonal).
getTrace() - Method in interface org.apache.commons.math.linear.FieldMatrix
Returns the trace of the matrix (the sum of the elements on the main diagonal).
getTrace() - Method in interface org.apache.commons.math.linear.RealMatrix
Returns the trace of the matrix (the sum of the elements on the main diagonal).
getTransformer(Class<?>) - Method in class org.apache.commons.math.util.TransformerMap
Returns the Transformer that is mapped to a class if mapping is not present, this returns null.
getTransparency() - Method in class jhplot.jadraw.JaBlob
Get the transparency of it
getTransparency() - Method in class jhplot.jadraw.JaBox
Get the transparency of it
getTransparency() - Method in class jhplot.jadraw.JaLine
Get the transparency of it
getTransparency() - Method in class jhplot.shapes.HShape
Get the transparency level
getTree() - Method in class hep.aida.ref.tree.MountPoint
 
getTTest() - Static method in class org.apache.commons.math.stat.inference.TestUtils
Deprecated. 2.2 will be removed in 3.0
getTuple(int) - Method in class hep.aida.ref.tuple.AbstractTuple
 
getTuple() - Method in class hep.aida.ref.tuple.JELTupleProvider
 
getTwo() - Method in class org.apache.commons.math.dfp.Dfp
Get the constant 2.
getTwo() - Method in class org.apache.commons.math.dfp.DfpField
Get the constant 2.
getType() - Method in class hep.aida.ref.event.TreeEvent
 
getType() - Method in class hephysics.particle.HEParticle
Get PDG type ID
getType() - Method in class jhplot.DrawOptions
Get the type of the object
getType() - Method in class jhplot.io.csv.bean.HeaderColumnNameMappingStrategy
 
getType() - Method in class jhplot.jadraw.JaKey
Get type of this object
getType() - Method in class jhplot.jadraw.JaText
Get identification type for this label
getType() - Method in class jhplot.jadraw.JaTextBox
Get identification number for this text object
getType() - Method in class jhplot.shapes.Arrow
Get the type of arrow
getTypeName(String) - Method in class hep.aida.ref.function.JELCompiledExpression.Resolver
 
getTypeName(String) - Method in class hep.aida.ref.tuple.JELTupleProvider
 
getU() - Method in class jhplot.math.LUDecomposition
Return upper triangular factor
getU() - Method in class jhplot.math.SingularValueDecomposition
Return the left singular vectors
getU() - Method in interface org.apache.commons.math.linear.FieldLUDecomposition
Returns the matrix U of the decomposition.
getU() - Method in class org.apache.commons.math.linear.FieldLUDecompositionImpl
Returns the matrix U of the decomposition.
getU() - Method in interface org.apache.commons.math.linear.LUDecomposition
Returns the matrix U of the decomposition.
getU() - Method in class org.apache.commons.math.linear.LUDecompositionImpl
Returns the matrix U of the decomposition.
getU() - Method in interface org.apache.commons.math.linear.SingularValueDecomposition
Returns the matrix U of the decomposition.
getU() - Method in class org.apache.commons.math.linear.SingularValueDecompositionImpl
Returns the matrix U of the decomposition.
getUnboundParameters() - Method in interface org.apache.commons.math.estimation.EstimationProblem
Deprecated. Get the unbound parameters of the problem.
getUnboundParameters() - Method in class org.apache.commons.math.estimation.SimpleEstimationProblem
Deprecated. Get the unbound parameters of the problem.
getUnderflow() - Method in class jhplot.H1D
Number of underflow entries
getUnderflow() - Method in class jhplot.HProf1D
Number of underflow entries
getUnderflowEntriesX() - Method in class jhplot.H2D
Get underflow entries in X
getUnderflowEntriesX() - Method in class jhplot.HProf2D
Get underflow entries in X
getUnderflowEntriesY() - Method in class jhplot.H2D
Get underflow entries in Y
getUnderflowEntriesY() - Method in class jhplot.HProf2D
Get underflow entries in Y
getUnderflowHeight() - Method in class jhplot.H1D
Underflow height
getUnderflowHeight() - Method in class jhplot.HProf1D
Underflow height
getUnderflowHeightsX() - Method in class jhplot.HProf2D
Get underflow heights in X
getUnderflowHeightX() - Method in class jhplot.H2D
Get underflow height in X
getUnderflowHeightX() - Method in class jhplot.HProf2D
Get underflow height in X
getUnderflowHeightY() - Method in class jhplot.H2D
Get underflow height in Y
getUnderflowHeightY() - Method in class jhplot.HProf2D
Get underflow height in Y
getUniqueCount() - Method in class org.apache.commons.math.stat.Frequency
Returns the number of values in the frequency table.
getUnknownDistributionChiSquareTest() - Static method in class org.apache.commons.math.stat.inference.TestUtils
Deprecated. 2.2 will be removed in 3.0
getUpper() - Method in class jhplot.math.num.pdf.Uniform
Access the upper parameter.
getUpperBounds() - Method in interface org.apache.commons.math.random.EmpiricalDistribution
Returns the array of upper bounds for the bins.
getUpperBounds() - Method in class org.apache.commons.math.random.EmpiricalDistributionImpl
Returns a fresh copy of the array of upper bounds for the bins.
getUpperEdgeX(int) - Method in class jhplot.H2D
Get upper edge of the bin in X
getUpperEdgeX(int) - Method in class jhplot.HProf2D
Get upper edge of the bin in X
getUpperEdgeY(int) - Method in class jhplot.H2D
Get upper edge of the bin in Y
getUpperEdgeY(int) - Method in class jhplot.HProf2D
Get upper edge of the bin in Y
getUserModeString() - Method in class jhplot.HCellular
 
getUT() - Method in interface org.apache.commons.math.linear.SingularValueDecomposition
Returns the transpose of the matrix U of the decomposition.
getUT() - Method in class org.apache.commons.math.linear.SingularValueDecompositionImpl
Returns the transpose of the matrix U of the decomposition.
getV() - Method in class jhplot.math.SingularValueDecomposition
Return the right singular vectors
getV() - Method in interface org.apache.commons.math.linear.EigenDecomposition
Returns the matrix V of the decomposition.
getV() - Method in class org.apache.commons.math.linear.EigenDecompositionImpl
Returns the matrix V of the decomposition.
getV() - Method in interface org.apache.commons.math.linear.SingularValueDecomposition
Returns the matrix V of the decomposition.
getV() - Method in class org.apache.commons.math.linear.SingularValueDecompositionImpl
Returns the matrix V of the decomposition.
getV3() - Method in class hephysics.particle.LParticle
Get a 3-vector woth (Px,Py,Pz) or (X,Y,Z)
getV3() - Method in class hephysics.vec.HepLorentzVector
Get 3-vector
getVal() - Method in class jhplot.math.ValueErr
Get current value
getValue(int) - Method in class jhpro.stat.DataKeeper
Get value at index
getValue() - Method in class org.apache.commons.math.linear.RealVector.Entry
Get the value of the entry.
getValue() - Method in class org.apache.commons.math.optimization.linear.LinearConstraint
Get the value of the constraint (right hand side).
getValue(double[]) - Method in class org.apache.commons.math.optimization.linear.LinearObjectiveFunction
Compute the value of the linear equation at the current point
getValue(RealVector) - Method in class org.apache.commons.math.optimization.linear.LinearObjectiveFunction
Compute the value of the linear equation at the current point
getValue() - Method in class org.apache.commons.math.optimization.RealPointValuePair
Get the value of the objective function.
getValue() - Method in class org.apache.commons.math.optimization.VectorialPointValuePair
Get the value of the objective function.
getValueAt(int, int) - Method in class jhplot.SPsheet
This method returns the cell object at those coordinates.
getValueRef() - Method in class org.apache.commons.math.optimization.VectorialPointValuePair
Get a reference to the value of the objective function.
getValues(int) - Method in class jhplot.H1D
Get positions in X,Y and Errors.
getValues(int) - Method in class jhplot.HProf1D
Get positions in X,Y and Errors.
getValues() - Method in class jhpro.stat.DataKeeper
Get values
getValues() - Method in class jhpro.stat.Moments
Get values of the moments
getValues() - Method in class jhpro.stat.MomentsFac
Get values of the factorial moments
getValues() - Method in class jhpro.stat.MomentsFacNorm
Get values of the normalised factorial moments (NFM).
getValues() - Method in class jhpro.stat.MomentsNorm
Get values of the normalised factorial moments (NFM).
getValues() - Method in class org.apache.commons.math.stat.descriptive.DescriptiveStatistics
Returns the current set of values in an array of double primitives.
getValues() - Method in class org.apache.commons.math.stat.descriptive.SynchronizedDescriptiveStatistics
Returns the current set of values in an array of double primitives.
getValues() - Method in class org.apache.commons.math.util.ResizableDoubleArray
Deprecated. replaced by ResizableDoubleArray.getInternalValues() as of 2.0
getValuesFileURL() - Method in class org.apache.commons.math.random.ValueServer
Getter for valuesFileURL
getVariance() - Method in class jhplot.math.num.pdf.NegativeBinomial
Get mean value.
getVariance() - Method in class org.apache.commons.math.stat.descriptive.AggregateSummaryStatistics
Returns the variance of the available values.
getVariance() - Method in class org.apache.commons.math.stat.descriptive.DescriptiveStatistics
Returns the variance of the available values.
getVariance() - Method in interface org.apache.commons.math.stat.descriptive.StatisticalSummary
Returns the variance of the available values.
getVariance() - Method in class org.apache.commons.math.stat.descriptive.StatisticalSummaryValues
 
getVariance() - Method in class org.apache.commons.math.stat.descriptive.SummaryStatistics
Returns the variance of the values that have been added.
getVariance() - Method in class org.apache.commons.math.stat.descriptive.SynchronizedSummaryStatistics
Returns the variance of the values that have been added.
getVarianceDirection() - Method in class org.apache.commons.math.stat.descriptive.moment.SemiVariance
Returns the varianceDirection property.
getVarianceImpl() - Method in class org.apache.commons.math.stat.descriptive.DescriptiveStatistics
Returns the currently configured variance implementation.
getVarianceImpl() - Method in class org.apache.commons.math.stat.descriptive.SummaryStatistics
Returns the currently configured variance implementation
getVarianceImpl() - Method in class org.apache.commons.math.stat.descriptive.SynchronizedSummaryStatistics
Returns the currently configured variance implementation
getVarianceMax() - Method in class jhpro.stat.EEcentricity
Get variance alone the major axis (longest component)
getVarianceMin() - Method in class jhpro.stat.EEcentricity
Get variance alone the minor (shortest component)
getVars() - Method in class jhplot.FND
Return all variables
getVarString() - Method in class jhplot.FND
Get arguments of the function (independent variables).
getVersion() - Method in class jhplot.io.EFile
Get version of the input file.
getVersion() - Method in class jhplot.io.FileRoot
Get ROOT version
getVersion() - Method in class jhplot.io.PFile
Get version of the input file.
getVersion() - Static method in class jhplot.JHPlot
Get version information
getVT() - Method in interface org.apache.commons.math.linear.EigenDecomposition
Returns the transpose of the matrix V of the decomposition.
getVT() - Method in class org.apache.commons.math.linear.EigenDecompositionImpl
Returns the transpose of the matrix V of the decomposition.
getVT() - Method in interface org.apache.commons.math.linear.SingularValueDecomposition
Returns the transpose of the matrix V of the decomposition.
getVT() - Method in class org.apache.commons.math.linear.SingularValueDecompositionImpl
Returns the transpose of the matrix V of the decomposition.
getWeight() - Method in class org.apache.commons.math.estimation.WeightedMeasurement
Deprecated. Get the weight of the measurement in the least squares problem
getWeight() - Method in class org.apache.commons.math.optimization.fitting.WeightedObservedPoint
Get the weight of the measurement in the fitting process.
getWhoAm() - Method in class jhplot.shapes.HShape
Primitive type
getWholeFormat() - Method in class org.apache.commons.math.fraction.ProperBigFractionFormat
Access the whole format.
getWholeFormat() - Method in class org.apache.commons.math.fraction.ProperFractionFormat
Access the whole format.
getWidth() - Method in class jhplot.jadraw.JaObject
Returns the width of this object.
getWidth() - Method in class jhplot.v3d.Model3d
 
getWindowSize() - Method in class org.apache.commons.math.stat.descriptive.DescriptiveStatistics
Returns the maximum number of values that can be stored in the dataset, or INFINITE_WINDOW (-1) if there is no limit.
getWindowSize() - Method in class org.apache.commons.math.stat.descriptive.SynchronizedDescriptiveStatistics
Returns the maximum number of values that can be stored in the dataset, or INFINITE_WINDOW (-1) if there is no limit.
getX(int) - Method in class jhplot.F1D
Get value in X-axis
getX(int) - Method in class jhplot.FND
Get value in X-axis
getX() - Method in class jhplot.HKey
Returns the X position of the text.
getX() - Method in class jhplot.HLabel
Returns the X position of the text.
getX() - Method in class jhplot.HLabelEq
Returns the X position of the text.
getX() - Method in class jhplot.HMLabel
Returns the X position of the text.
getX() - Method in class jhplot.jadraw.JaObject
Returns the x coordinate of this object.
getX(int) - Method in class jhplot.P1D
Return a specific X-value.
getX(int) - Method in class jhplot.P2D
Return a specific X-value.
getX(int) - Method in class jhplot.P3D
Return a specific X-value.
getX() - Method in class jhplot.v3d.Vector3d
 
getX() - Method in class org.apache.commons.math.geometry.Vector3D
Get the abscissa of the vector.
getX() - Method in class org.apache.commons.math.optimization.fitting.WeightedObservedPoint
Get the abscissa of the point.
getX1() - Method in class jhplot.jadraw.JaArcObject
Returns the x coordinate of the first click point of this arc.
getX1() - Method in class jhplot.jadraw.JaVertexT5
Returns the x coordinate of the first click point of this vertex.
getX2() - Method in class jhplot.jadraw.JaArcObject
Returns the x coordinate of the second click point of this arc.
getX2() - Method in class jhplot.jadraw.JaVertexT5
Returns the x coordinate of the second click point of this vertex.
getX3() - Method in class jhplot.jadraw.JaVertexT5
Returns the x coordinate of the third click point of this vertex.
getXAutoRange() - Method in class jhplot.SPlot
Get the range for X values of the data points registered so far.
getXBar() - Method in class jhplot.stat.LinReg
Get average x
getXBar() - Method in class jhplot.stat.LinRegWeighted
Get average x
getXLabel() - Method in class jhplot.SPlot
Get the label for the X (horizontal) axis, or null if none has been set.
getXleft(int) - Method in class jhplot.P1D
Return a specific left error on X-value.
getXleftSys(int) - Method in class jhplot.P1D
Return a specific left error on X-value (systematic error).
getXLog() - Method in class jhplot.SPlot
Return whether the X axis is drawn with a logarithmic scale.
getXndc() - Method in class jhplot.jadraw.JaObject
Returns the NDC x coordinate of this object.
getXRange() - Method in class jhplot.SPlot
Get the X range.
getXright(int) - Method in class jhplot.P1D
Return a specific right error on X-value.
getXrightSys(int) - Method in class jhplot.P1D
Return a specific right error on X-value (systematic error).
getXSumSquares() - Method in class org.apache.commons.math.stat.regression.SimpleRegression
Returns the sum of squared deviations of the x values about their mean.
getXTicks() - Method in class jhplot.SPlot
Get the X ticks that have been specified, or null if none.
getXuser() - Method in class jhplot.jadraw.JaObject
Returns the USER x coordinate of this object.
getXYCoord(int, int, int, int) - Method in class jhplot.jadraw.JaBox
Get coordinates of the box
getY(int) - Method in class jhplot.F1D
Get value in Y-axis
getY(int) - Method in class jhplot.FND
Get value in Y-axis
getY() - Method in class jhplot.HKey
Returns the Y position of the text.
getY() - Method in class jhplot.HLabel
Returns the Y position of the text.
getY() - Method in class jhplot.HLabelEq
Returns the Y position of the text.
getY() - Method in class jhplot.HMLabel
Returns the Y position of the text.
getY() - Method in class jhplot.jadraw.JaObject
Returns the y coordinate of this object.
getY(int) - Method in class jhplot.P1D
Return a specific Y-value.
getY(int) - Method in class jhplot.P2D
Return a specific Y-value.
getY(int) - Method in class jhplot.P3D
Return a specific Y-value.
getY() - Method in class jhplot.v3d.Vector3d
 
getY() - Method in class org.apache.commons.math.geometry.Vector3D
Get the ordinate of the vector.
getY() - Method in class org.apache.commons.math.optimization.fitting.WeightedObservedPoint
Get the observed value of the function at x.
getY1() - Method in class jhplot.jadraw.JaArcObject
Returns the y coordinate of the first click point of this arc.
getY1() - Method in class jhplot.jadraw.JaVertexT5
Returns the y coordinate of the first click point of this vertex.
getY2() - Method in class jhplot.jadraw.JaArcObject
Returns the y coordinate of the second click point of this arc.
getY2() - Method in class jhplot.jadraw.JaVertexT5
Returns the y coordinate of the second click point of this vertex.
getY3() - Method in class jhplot.jadraw.JaVertexT5
Returns the y coordinate of the third click point of this vertex.
getYAutoRange() - Method in class jhplot.SPlot
Get the range for Y values of the data points registered so far.
getYBar() - Method in class jhplot.stat.LinReg
Get average Y
getYBar() - Method in class jhplot.stat.LinRegWeighted
Get average Y
getYLabel() - Method in class jhplot.SPlot
Get the label for the Y (vertical) axis, or null if none has been set.
getYLog() - Method in class jhplot.SPlot
Return whether the Y axis is drawn with a logarithmic scale.
getYlower(int) - Method in class jhplot.P1D
Return a specific lower error on Y-value.
getYlowerSys(int) - Method in class jhplot.P1D
Return a specific total lower error on Y-value.
getYndc() - Method in class jhplot.jadraw.JaObject
Returns the NDC y coordinate of this object.
getYRange() - Method in class jhplot.SPlot
Get the Y range.
getYTicks() - Method in class jhplot.SPlot
Get the Y ticks that have been specified, or null if none.
getYupper(int) - Method in class jhplot.P1D
Return a specific upper error on Y-value.
getYupperSys(int) - Method in class jhplot.P1D
Return a specific systematical upper error on Y-value.
getYuser() - Method in class jhplot.jadraw.JaObject
Returns the USER y coordinate of this object.
getZ(int) - Method in class jhplot.P2D
Return a specific Z-value.
getZ(int) - Method in class jhplot.P3D
Return a specific Z-value.
getZ() - Method in class jhplot.v3d.Vector3d
 
getZ() - Method in class org.apache.commons.math.geometry.Vector3D
Get the height of the vector.
getZero() - Method in class org.apache.commons.math.complex.ComplexField
Get the additive identity of the field.
getZero() - Method in class org.apache.commons.math.dfp.Dfp
Get the constant 0.
getZero() - Method in class org.apache.commons.math.dfp.DfpField
Get the constant 0.
getZero() - Method in interface org.apache.commons.math.Field
Get the additive identity of the field.
getZero() - Method in class org.apache.commons.math.fraction.BigFractionField
Get the additive identity of the field.
getZero() - Method in class org.apache.commons.math.fraction.FractionField
Get the additive identity of the field.
getZero() - Method in class org.apache.commons.math.util.BigRealField
Get the additive identity of the field.
GHFrame - Class in jhplot
Create main Frame with several plots.
GHFrame(String, int, int, int, int, boolean) - Constructor for class jhplot.GHFrame
Create main frame window
GHFrame(String, int, int) - Constructor for class jhplot.GHFrame
Construct a GHFrame with a single plot/graph.
GHFrame(String, int, int, boolean) - Constructor for class jhplot.GHFrame
Construct a GHFrame canvas with a single plot/graph.
GHFrame(String, int, int, int, int) - Constructor for class jhplot.GHFrame
Construct a GHFrame canvas with plots/graphs.
GHFrame(String) - Constructor for class jhplot.GHFrame
Construct a GHFrame canvas with a plot with the default parameters 600 by 400, and 10% space for the global title
GHFrame() - Constructor for class jhplot.GHFrame
Construct a GHFrame canvas with a plot with the default parameters 600 by 400, and 10% space for the global title "Default".
GHMargin - Class in jhplot
Panels with global margin.
GHMargin(GHPanel, String) - Constructor for class jhplot.GHMargin
Main class to create global margin
GHPanel - Class in jhplot
Class to build the global panel with graphics.
GHPanel(int, int) - Constructor for class jhplot.GHPanel
Create a panel with graphics.
GillIntegrator - Class in org.apache.commons.math.ode.nonstiff
This class implements the Gill fourth order Runge-Kutta integrator for Ordinary Differential Equations .
GillIntegrator(double) - Constructor for class org.apache.commons.math.ode.nonstiff.GillIntegrator
Simple constructor.
GlArc(float, float, float, float, float, float) - Static method in class jhplot.jadraw.Diagram
 
GLine(float, float) - Static method in class jhplot.jadraw.Diagram
A g-line for ghost particles.
GlLine(float, float) - Static method in class jhplot.jadraw.Diagram
Get a gluon line object
GlLoop(float, float) - Static method in class jhplot.jadraw.Diagram
Get a gluon loop object
GLoop(float, float) - Static method in class jhplot.jadraw.Diagram
Get a g-loop object
GLSMultipleLinearRegression - Class in org.apache.commons.math.stat.regression
The GLS implementation of the multiple linear regression.
GLSMultipleLinearRegression() - Constructor for class org.apache.commons.math.stat.regression.GLSMultipleLinearRegression
 
GoalType - Enum in org.apache.commons.math.optimization
Goal type for an optimization problem.
gradient(double[]) - Method in class hep.aida.ref.fitter.InternalFitFunction
 
gradient(double[]) - Method in class hep.aida.ref.function.AbstractDevModelFunction
 
gradient(double[]) - Method in class hep.aida.ref.function.AbstractIFunction
 
gradient(double[]) - Method in class hep.aida.ref.function.BaseModelFunction
 
gradient(double[]) - Method in class hep.aida.ref.function.ExponentialCoreNorm
 
gradient(double[]) - Method in class hep.aida.ref.function.ExponentialCoreNotNorm
 
gradient(double[]) - Method in class hep.aida.ref.function.FunctionCore
 
gradient(double[]) - Method in class hep.aida.ref.function.GaussianCore2DNorm
 
gradient(double[]) - Method in class hep.aida.ref.function.GaussianCore2DNotNorm
 
gradient(double[]) - Method in class hep.aida.ref.function.GaussianCoreNorm
 
gradient(double[]) - Method in class hep.aida.ref.function.GaussianCoreNotNorm
 
gradient(double[]) - Method in class hep.aida.ref.function.IFunctionCoreNotNorm
 
gradient(double[]) - Method in class hep.aida.ref.function.JELFunctionCore
 
gradient(double[]) - Method in class hep.aida.ref.function.LorentzianCoreNotNorm
 
gradient(double[]) - Method in class hep.aida.ref.function.MoyalCoreNotNorm
 
gradient(double[]) - Method in class hep.aida.ref.function.PolynomialCoreNorm
 
gradient(double[]) - Method in class hep.aida.ref.function.PolynomialCoreNotNorm
 
gradient(double[]) - Method in class hep.aida.ref.function.SumOfFunctions
 
gradient() - Method in interface org.apache.commons.math.analysis.DifferentiableMultivariateRealFunction
Returns the gradient function.
gradient(double, double[]) - Method in class org.apache.commons.math.optimization.fitting.ParametricGaussianFunction
Computes the gradient vector for a four variable version of the function where the parameters, a, b, c, and d, are considered the variables, not x.
gradient(double, double[]) - Method in interface org.apache.commons.math.optimization.fitting.ParametricRealFunction
Compute the gradient of the function with respect to its parameters.
GraggBulirschStoerIntegrator - Class in org.apache.commons.math.ode.nonstiff
This class implements a Gragg-Bulirsch-Stoer integrator for Ordinary Differential Equations.
GraggBulirschStoerIntegrator(double, double, double, double) - Constructor for class org.apache.commons.math.ode.nonstiff.GraggBulirschStoerIntegrator
Simple constructor.
GraggBulirschStoerIntegrator(double, double, double[], double[]) - Constructor for class org.apache.commons.math.ode.nonstiff.GraggBulirschStoerIntegrator
Simple constructor.
greaterThan(Dfp) - Method in class org.apache.commons.math.dfp.Dfp
Check if instance is greater than x.
Grid - Class in hep.aida.ref.function
 
Grid(IModelFunction) - Constructor for class hep.aida.ref.function.Grid
 
guess() - Method in class org.apache.commons.math.optimization.fitting.GaussianParametersGuesser
Guesses the parameters based on the observed points.
guess() - Method in class org.apache.commons.math.optimization.fitting.HarmonicCoefficientsGuesser
Estimate a first guess of the coefficients.
guessParametersErrors(EstimationProblem) - Method in class org.apache.commons.math.estimation.AbstractEstimator
Deprecated. Guess the errors in unbound estimated parameters.
guessParametersErrors(EstimationProblem) - Method in interface org.apache.commons.math.estimation.Estimator
Deprecated. Guess the errors in estimated parameters.
guessParametersErrors() - Method in class org.apache.commons.math.optimization.general.AbstractLeastSquaresOptimizer
Guess the errors in optimized parameters.

H

H1D - Class in jhplot
Class to create a histogram in one dimension (1D).
H1D() - Constructor for class jhplot.H1D
Build 1D histogram.
H1D(String, int, double, double) - Constructor for class jhplot.H1D
Build 1D histogram
H1D(String, double[]) - Constructor for class jhplot.H1D
Create 1D histogram with variable bin size.
H1D(String, IAxis) - Constructor for class jhplot.H1D
Create 1D histogram with variable bin size.
H1D(Histogram1D) - Constructor for class jhplot.H1D
Create H1D histogram from JAIDA Histogram1D class.
H1D(Cloud1D, int) - Constructor for class jhplot.H1D
Create H1D histogram from JAIDA Cloud1D class.
H1D(IHistogram1D) - Constructor for class jhplot.H1D
Create H1D histogram from JAIDA IHistogram1D class
H1D(String, H1D) - Constructor for class jhplot.H1D
Create H1D from another instance.
H1D(TH1) - Constructor for class jhplot.H1D
Create H1D histogram from JAIDA TH1 histogram class
H2D - Class in jhplot
Main class to create a 2D histogram.
H2D(String, int, double, double, int, double, double) - Constructor for class jhplot.H2D
Create 2D histogram
H2D(IHistogram2D) - Constructor for class jhplot.H2D
Create H2D histogram from JAIDA IHistogram2D class
H2D(Cloud2D, int, int) - Constructor for class jhplot.H2D
Create H2D histogram from Cloud2D.
H2D(String, double[], double[]) - Constructor for class jhplot.H2D
Create a 2D histogram using variable size bins in X and Y
H2D(String, IAxis, IAxis) - Constructor for class jhplot.H2D
Define H2D in terms of axis
H2D(Histogram2D) - Constructor for class jhplot.H2D
Create a H2D histogram from JAIDA histogram
H2D(TH2) - Constructor for class jhplot.H2D
Create H2D histogram from JAIDA TH1 histogram class
H3D - Class in jhplot
Create histogram in 3D
H3D(String, IAxis, IAxis, IAxis) - Constructor for class jhplot.H3D
Create 3D histogram
HALF_LOG_2_PI - Static variable in interface jhplot.math.num.Constants
1/2 * log(2 π).
handleStep(StepInterpolator, boolean) - Method in class org.apache.commons.math.ode.ContinuousOutputModel
Handle the last accepted step.
handleStep(StepInterpolatorWithJacobians, boolean) - Method in interface org.apache.commons.math.ode.jacobians.StepHandlerWithJacobians
Deprecated. Handle the last accepted step
handleStep(StepInterpolator, boolean) - Method in class org.apache.commons.math.ode.sampling.DummyStepHandler
Handle the last accepted step.
handleStep(double, double[], double[], boolean) - Method in interface org.apache.commons.math.ode.sampling.FixedStepHandler
Handle the last accepted step
handleStep(StepInterpolator, boolean) - Method in interface org.apache.commons.math.ode.sampling.StepHandler
Handle the last accepted step
handleStep(StepInterpolator, boolean) - Method in class org.apache.commons.math.ode.sampling.StepNormalizer
Handle the last accepted step
HarmonicCoefficientsGuesser - Class in org.apache.commons.math.optimization.fitting
This class guesses harmonic coefficients from a sample.
HarmonicCoefficientsGuesser(WeightedObservedPoint[]) - Constructor for class org.apache.commons.math.optimization.fitting.HarmonicCoefficientsGuesser
Simple constructor.
HarmonicFitter - Class in org.apache.commons.math.optimization.fitting
This class implements a curve fitting specialized for sinusoids.
HarmonicFitter(DifferentiableMultivariateVectorialOptimizer) - Constructor for class org.apache.commons.math.optimization.fitting.HarmonicFitter
Simple constructor.
HarmonicFitter(DifferentiableMultivariateVectorialOptimizer, double[]) - Constructor for class org.apache.commons.math.optimization.fitting.HarmonicFitter
Simple constructor.
HarmonicFunction - Class in org.apache.commons.math.optimization.fitting
Harmonic function of the form f (t) = a cos (ω t + φ).
HarmonicFunction(double, double, double) - Constructor for class org.apache.commons.math.optimization.fitting.HarmonicFunction
Simple constructor.
hasBeenFilled(String) - Method in class hep.aida.ref.tree.Tree
Is called by the Store to let Tree know that a particular folder has been filled already.
hasDefaultValue() - Method in class hep.aida.ref.tuple.AbstractTuple.AbstractTupleColumnFactory.BaseTupleColumn
 
hasDefaultValue() - Method in interface hep.aida.ref.tuple.FTupleColumn
 
hasDefaultValue() - Method in class hep.aida.ref.tuple.TupleColumn
 
HasDensity<P> - Interface in org.apache.commons.math.distribution
Deprecated. to be removed in math 3.0
HasFTuple - Interface in hep.aida.ref.tuple
 
hash(double) - Static method in class org.apache.commons.math.util.MathUtils
Returns an integer hash code representing the given double value.
hash(double[]) - Static method in class org.apache.commons.math.util.MathUtils
Returns an integer hash code representing the given double array.
hashCode() - Method in class hephysics.particle.LParticle
Get a hash code
hashCode() - Method in class hephysics.vec.Hep3Vector
 
hashCode() - Method in class hephysics.vec.HepLorentzVector
Hash code
hashCode() - Method in class jhplot.math.ValueErr
 
hashCode() - Method in class org.apache.commons.math.analysis.polynomials.PolynomialFunction
hashCode() - Method in class org.apache.commons.math.complex.Complex
Get a hashCode for the complex number.
hashCode() - Method in class org.apache.commons.math.dfp.Dfp
Gets a hashCode for the instance.
hashCode() - Method in class org.apache.commons.math.fraction.BigFraction
Gets a hashCode for the fraction.
hashCode() - Method in class org.apache.commons.math.fraction.Fraction
Gets a hashCode for the fraction.
hashCode() - Method in class org.apache.commons.math.geometry.Vector3D
Get a hashCode for the 3D vector.
hashCode() - Method in class org.apache.commons.math.linear.AbstractFieldMatrix
Computes a hashcode for the matrix.
hashCode() - Method in class org.apache.commons.math.linear.AbstractRealMatrix
Computes a hashcode for the matrix.
hashCode() - Method in class org.apache.commons.math.linear.ArrayFieldVector
Get a hashCode for the real vector.
hashCode() - Method in class org.apache.commons.math.linear.ArrayRealVector
Get a hashCode for the real vector.
hashCode() - Method in class org.apache.commons.math.linear.BigMatrixImpl
Deprecated. Computes a hashcode for the matrix.
hashCode() - Method in class org.apache.commons.math.linear.OpenMapRealVector
hashCode() - Method in class org.apache.commons.math.linear.SparseFieldVector
hashCode() - Method in class org.apache.commons.math.optimization.linear.LinearConstraint
hashCode() - Method in class org.apache.commons.math.optimization.linear.LinearObjectiveFunction
hashCode() - Method in class org.apache.commons.math.stat.clustering.EuclideanIntegerPoint
hashCode() - Method in class org.apache.commons.math.stat.descriptive.AbstractStorelessUnivariateStatistic
Returns hash code based on getResult() and getN()
hashCode() - Method in class org.apache.commons.math.stat.descriptive.moment.VectorialCovariance
hashCode() - Method in class org.apache.commons.math.stat.descriptive.moment.VectorialMean
hashCode() - Method in class org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics
Returns hash code based on values of statistics
hashCode() - Method in class org.apache.commons.math.stat.descriptive.StatisticalSummaryValues
Returns hash code based on values of statistics
hashCode() - Method in class org.apache.commons.math.stat.descriptive.SummaryStatistics
Returns hash code based on values of statistics
hashCode() - Method in class org.apache.commons.math.stat.descriptive.SynchronizedMultivariateSummaryStatistics
Returns hash code based on values of statistics
hashCode() - Method in class org.apache.commons.math.stat.descriptive.SynchronizedSummaryStatistics
Returns hash code based on values of statistics
hashCode() - Method in class org.apache.commons.math.stat.Frequency
hashCode() - Method in class org.apache.commons.math.util.BigReal
hashCode() - Method in class org.apache.commons.math.util.DefaultTransformer
hashCode() - Method in class org.apache.commons.math.util.ResizableDoubleArray
Returns a hash code consistent with equals.
hashCode() - Method in class org.apache.commons.math.util.TransformerMap
hasKey(String) - Method in class hep.aida.ref.Annotation
 
hasNext() - Method in class org.apache.commons.math.util.MultidimensionalCounter.Iterator
hasNext() - Method in class org.apache.commons.math.util.OpenIntToDoubleHashMap.Iterator
Check if there is a next element in the map.
hasNext() - Method in class org.apache.commons.math.util.OpenIntToFieldHashMap.Iterator
Check if there is a next element in the map.
hasStore() - Method in class hep.aida.ref.tree.Tree
 
HBayes - Class in jhplot
HBayes is a set of tools for the creation and manipulation of Bayesian networks.
HBayes() - Constructor for class jhplot.HBayes
Initialize .
HBook - Class in jhplot
This class is used to book histograms for writing and reading.
HBook(String) - Constructor for class jhplot.HBook
Initialize HBook.
HBook() - Constructor for class jhplot.HBook
Initialize HBook class.
HBsom - Class in jhplot
The Bayesian self-organizing map (BSOM).
HBsom() - Constructor for class jhplot.HBsom
Initialize BSOM.
HCellular - Class in jhplot
A two-dimensional cellular automata toolkit.
HCellular() - Constructor for class jhplot.HCellular
Build a Cellular automata.
HChart - Class in jhplot
Create various charts, such as pie, histograms, bar charts including 3D emulation, lines.
HChart(String, int, int, int, int, boolean) - Constructor for class jhplot.HChart
Create HChart canvas with a several chart plots
HChart(String, int, int) - Constructor for class jhplot.HChart
Construct a HChart canvas with a single plot/graph
HChart(String, int, int, boolean) - Constructor for class jhplot.HChart
Construct a HChart canvas with a single plot/graph
HChart(String, int, int, int, int) - Constructor for class jhplot.HChart
Construct a HChart canvas with plots/graphs
HChart(String) - Constructor for class jhplot.HChart
Construct a HChart canvas with a plot with the default parameters 600 by 400, and 10% space for the global title
HChart() - Constructor for class jhplot.HChart
Construct a HChart canvas with a plot with the default parameters 600 by 400, and 10% space for the global title "Default"
HCluster - Class in jhplot
A Canvas to build a canvas for interactive data clustering.
HCluster() - Constructor for class jhplot.HCluster
Show a frame for clustering.
HCluster(DataHolder) - Constructor for class jhplot.HCluster
Show jMinHEP frame for clustering analysis.
HDataBase - Class in jhplot.io
This raw-level database allows to store and retrieve objects.
HDataBase(String, String) - Constructor for class jhplot.io.HDataBase
Create a new persistent database.
HDataBase(String) - Constructor for class jhplot.io.HDataBase
Open the database file for reading.
HeaderColumnNameMappingStrategy - Class in jhplot.io.csv.bean
Copyright 2007 Kyle Miller.
HeaderColumnNameMappingStrategy() - Constructor for class jhplot.io.csv.bean.HeaderColumnNameMappingStrategy
 
HeaderColumnNameTranslateMappingStrategy - Class in jhplot.io.csv.bean
Copyright 2007 Kyle Miller.
HeaderColumnNameTranslateMappingStrategy() - Constructor for class jhplot.io.csv.bean.HeaderColumnNameTranslateMappingStrategy
 
height(int[]) - Method in interface hep.aida.ref.dataset.binner.Binner
Get the height of a bin.
height(int[]) - Method in class hep.aida.ref.dataset.binner.DefaultBinner
Get the height of a bin.
height(int[]) - Method in class hep.aida.ref.dataset.binner.EfficiencyBinner
Get the height of a bin.
height(int) - Method in class hep.aida.ref.histogram.binner.AbstractBinner1D
 
height(int, int) - Method in class hep.aida.ref.histogram.binner.BasicBinner2D
 
height(int, int, int) - Method in class hep.aida.ref.histogram.binner.BasicBinner3D
 
height(int) - Method in interface hep.aida.ref.histogram.binner.Binner1D
 
height(int, int) - Method in interface hep.aida.ref.histogram.binner.Binner2D
 
height(int, int, int) - Method in interface hep.aida.ref.histogram.binner.Binner3D
 
height(int, int) - Method in class hep.aida.ref.histogram.binner.EfficiencyBinner2D
 
height(int, int, int) - Method in class hep.aida.ref.histogram.binner.EfficiencyBinner3D
 
HelpBrowser - Class in jhplot
Used to display on-line help for jHplot package
HelpBrowser(String) - Constructor for class jhplot.HelpBrowser
Show online browser
HelpBrowser(URL) - Constructor for class jhplot.HelpBrowser
Show online browser
hep.aida.ref - package hep.aida.ref
Reference implementation of AIDA (see documentation).
hep.aida.ref.dataset - package hep.aida.ref.dataset
 
hep.aida.ref.dataset.binner - package hep.aida.ref.dataset.binner
 
hep.aida.ref.event - package hep.aida.ref.event
 
hep.aida.ref.fitter - package hep.aida.ref.fitter
 
hep.aida.ref.fitter.fitdata - package hep.aida.ref.fitter.fitdata
 
hep.aida.ref.fitter.fitmethod - package hep.aida.ref.fitter.fitmethod
 
hep.aida.ref.function - package hep.aida.ref.function
 
hep.aida.ref.function.examples - package hep.aida.ref.function.examples
 
hep.aida.ref.histogram - package hep.aida.ref.histogram
 
hep.aida.ref.histogram.binner - package hep.aida.ref.histogram.binner
 
hep.aida.ref.tree - package hep.aida.ref.tree
 
hep.aida.ref.tuple - package hep.aida.ref.tuple
 
Hep3Matrix - Class in hephysics.vec
Hep 3x3 matrices
Hep3Matrix(int, int) - Constructor for class hephysics.vec.Hep3Matrix
 
Hep3Matrix(double[][]) - Constructor for class hephysics.vec.Hep3Matrix
Creates a new instance of BasicMatrix
Hep3Matrix() - Constructor for class hephysics.vec.Hep3Matrix
 
Hep3Matrix(double, double, double, double, double, double, double, double, double) - Constructor for class hephysics.vec.Hep3Matrix
 
Hep3Matrix(Matrix) - Constructor for class hephysics.vec.Hep3Matrix
 
Hep3Vector - Class in hephysics.vec
Basic implementation of a Hep3Vector
Hep3Vector() - Constructor for class hephysics.vec.Hep3Vector
New 3-vector
Hep3Vector(double, double, double) - Constructor for class hephysics.vec.Hep3Vector
Define a 3-vector
Hep3Vector(double[]) - Constructor for class hephysics.vec.Hep3Vector
Create a BasicHep3Vector from a double array
Hep3Vector(float[]) - Constructor for class hephysics.vec.Hep3Vector
Define a new vector
HEParticle - Class in hephysics.particle
a HEP-type basic particle based on 4-Lorentz vector.
HEParticle(String, double) - Constructor for class hephysics.particle.HEParticle
Define a particle with a name and mass
HEParticle(double, double, double) - Constructor for class hephysics.particle.HEParticle
Define a 3-momentum for a given particle.
HEParticle(double, double, double, double, double) - Constructor for class hephysics.particle.HEParticle
Define a 4-momentum and energy particle
HEParticle(HepLorentzVector, HepLorentzVector, double) - Constructor for class hephysics.particle.HEParticle
Define a particle in momentum and position
HEParticle(double, double, double, double) - Constructor for class hephysics.particle.HEParticle
Define a particle in momentum space.
HEParticle(String, double, double, double, double, double) - Constructor for class hephysics.particle.HEParticle
Define a Lorentz particle in momentum space.
hephysics.particle - package hephysics.particle
Define various Lorentz-type particles.
hephysics.vec - package hephysics.vec
Lorentz-type vectors and transformations.
HepLorentzVector - Class in hephysics.vec
a HepLorentzVector (4-vector) It can hold either space-coordinate and time (x,y,z,t) or 4-momentum (px,py,pz,energy).
HepLorentzVector() - Constructor for class hephysics.vec.HepLorentzVector
Default Lorentz vector constructor
HepLorentzVector(double, double, double, double) - Constructor for class hephysics.vec.HepLorentzVector
Define a Lorentz vector This can either be (x,y,z,time) or (px,py,pz,energy)
HepLorentzVector(double[], double) - Constructor for class hephysics.vec.HepLorentzVector
Define a Lorentz vector
HepLorentzVector(float[], double) - Constructor for class hephysics.vec.HepLorentzVector
Define a Lorentz vector
HepLorentzVector(Hep3Vector, double) - Constructor for class hephysics.vec.HepLorentzVector
Define Lorentz vector
HFile - Class in jhplot.io
Write or read objects in sequential order using the Java serialization.
HFile(String, String, boolean, int) - Constructor for class jhplot.io.HFile
Open a file to write/read objects to/from a serialized file in sequential order.
HFile(String, String, boolean) - Constructor for class jhplot.io.HFile
Open a file to write/read objects to/from a serialized file in sequential order.
HFile(String) - Constructor for class jhplot.io.HFile
Open file for reading objects from a serialized file in sequential order.
HFile(String, String) - Constructor for class jhplot.io.HFile
Open file for reading objects from a serialized file in sequential order.
HFileBrowser - Class in jhplot.io
A GUI to browser data stored in a HFile format (gzipped by default)
HFileBrowser(HPlot, HFile, boolean) - Constructor for class jhplot.io.HFileBrowser
Open HFile file in a pop-up window to browser it and check all objects
HFileXML - Class in jhplot.io
Open a XML file to write/read objects in sequential order using java serialization in XML.
HFileXML(String, String, int) - Constructor for class jhplot.io.HFileXML
Open a XML file to write or read objects to/from a serialized file in sequential order.
HFileXML(String, String) - Constructor for class jhplot.io.HFileXML
Open a XML file to write or read objects to/from a serialized file in sequential order.
HFileXML(String) - Constructor for class jhplot.io.HFileXML
Open a XML file to write or read objects to/from a serialized file in sequential order.
HFit - Class in jhplot
Main class for fit data or histograms.
HFit() - Constructor for class jhplot.HFit
Show an empty fit frame.
HFit(HPlot, String) - Constructor for class jhplot.HFit
Show an empty fit frame and pass HPlot object.
HFit(HPlot, H1D) - Constructor for class jhplot.HFit
Show a fit frame for a selected histogram.
HFit(HPlot, P1D) - Constructor for class jhplot.HFit
Show a fit frame for a selected histogram.
HFit(HPlot, String, Object, String) - Constructor for class jhplot.HFit
Show a fit frame for a selected histogram.
HFitter - Class in jhplot
Fit data (H1D or P1D).
HFitter(String) - Constructor for class jhplot.HFitter
Create a fitter using some method.
HFitter() - Constructor for class jhplot.HFitter
Create a fitter with Chi2 method by default
HGraph - Class in jhplot
Create a frame with interactive graphs.
HGraph(String, int, int, int, int, boolean) - Constructor for class jhplot.HGraph
Create HGraph canvas with several graphs.
HGraph(String, int, int) - Constructor for class jhplot.HGraph
Construct a HPlot canvas with a single plot/graph
HGraph(String, int, int, boolean) - Constructor for class jhplot.HGraph
Construct a HGraph canvas with a single plot/graph
HGraph(String, int, int, int, int) - Constructor for class jhplot.HGraph
Construct a HGraph canvas with plots/graphs
HGraph(String) - Constructor for class jhplot.HGraph
Construct a HGraph canvas with a plot with the default parameters 600 by 400, and 10% space for the global title
HGraph() - Constructor for class jhplot.HGraph
Construct a HGraph canvas with a plot with the default parameters 600 by 400, and 10% space for the global title "Default"
HighamHall54Integrator - Class in org.apache.commons.math.ode.nonstiff
This class implements the 5(4) Higham and Hall integrator for Ordinary Differential Equations.
HighamHall54Integrator(double, double, double, double) - Constructor for class org.apache.commons.math.ode.nonstiff.HighamHall54Integrator
Simple constructor.
HighamHall54Integrator(double, double, double[], double[]) - Constructor for class org.apache.commons.math.ode.nonstiff.HighamHall54Integrator
Simple constructor.
histF() - Method in class jhplot.HPlot
Return IHistogramFactory associated with the plot
histF() - Method in class jhplot.HPlotJa
Return IHistogramFactory associated with the plot
histogram() - Method in class hep.aida.ref.histogram.Cloud1D
Get the Histogram representing the Cloud
histogram() - Method in class hep.aida.ref.histogram.Cloud2D
Get the Histogram representing the Cloud
histogram() - Method in class hep.aida.ref.histogram.Cloud3D
Get the Histogram representing the Cloud
Histogram - Class in hep.aida.ref.histogram
 
Histogram(String, String, int, String) - Constructor for class hep.aida.ref.histogram.Histogram
Create a new Histogram.
Histogram() - Constructor for class hep.aida.ref.histogram.Histogram
 
Histogram1D - Class in hep.aida.ref.histogram
 
Histogram1D() - Constructor for class hep.aida.ref.histogram.Histogram1D
Create a 1-dimensional Histogram.
Histogram1D(String, String, IAxis) - Constructor for class hep.aida.ref.histogram.Histogram1D
Create a 1-dimensional Histogram.
Histogram2D - Class in hep.aida.ref.histogram
 
Histogram2D() - Constructor for class hep.aida.ref.histogram.Histogram2D
Create a 2-dimensional Histogram.
Histogram2D(String, String, IAxis, IAxis) - Constructor for class hep.aida.ref.histogram.Histogram2D
Create a 2-dimensional Histogram.
Histogram3D - Class in hep.aida.ref.histogram
 
Histogram3D() - Constructor for class hep.aida.ref.histogram.Histogram3D
Create a 3-dimensional Histogram.
Histogram3D(String, String, IAxis, IAxis, IAxis) - Constructor for class hep.aida.ref.histogram.Histogram3D
Create a 3-dimensional Histogram.
Histogram3D(String, String, IAxis, IAxis, IAxis, String) - Constructor for class hep.aida.ref.histogram.Histogram3D
Create a 3-dimensional Histogram.
HistogramEvent - Class in hep.aida.ref.event
An event send from a Histogram to AIDAListeners
HistogramEvent(IBaseHistogram) - Constructor for class hep.aida.ref.event.HistogramEvent
 
HistogramFactory - Class in hep.aida.ref.histogram
 
HistogramFactory(ITree) - Constructor for class hep.aida.ref.histogram.HistogramFactory
Create a new HistogramFactory.
HistogramFactory(Tree) - Constructor for class hep.aida.ref.histogram.HistogramFactory
Create a new HistogramFactory.
histogramNormalization(IHistogram1D) - Static method in class hep.aida.ref.histogram.HistUtils
 
HistUtils - Class in hep.aida.ref.histogram
 
HistUtils() - Constructor for class hep.aida.ref.histogram.HistUtils
 
HKey - Class in jhplot
Create an interactive key label in the USER or NDC coordinates.
HKey(String, Font, Color) - Constructor for class jhplot.HKey
Create a key label.
HKey(String, double, double, Font, Color, String, Object) - Constructor for class jhplot.HKey
Make a key for a function, data points or histograms (F1D, H1D, P1D).
HKey(String, double, double, Font, String, Object) - Constructor for class jhplot.HKey
Make a key for a function, data points or histograms (F1D, H1D, P1D).
HKey(String, double, double, String, Object) - Constructor for class jhplot.HKey
Make a key for a function, data points or histograms (F1D, H1D, P1D).
HKey(String, double, double, Object) - Constructor for class jhplot.HKey
Make a key for a function, data points or histograms (F1D, H1D, P1D).
HKey(String, Object) - Constructor for class jhplot.HKey
Make a key for a function, data points or histograms (F1D, H1D, P1D) at the default position.
HKey(String, Font) - Constructor for class jhplot.HKey
Make a key label (color- black)
HKey(String) - Constructor for class jhplot.HKey
Make a key label with default attributes
HKey(String, double, double) - Constructor for class jhplot.HKey
Make a key label with specific coordinated in the data system
HKey(String, double, double, String) - Constructor for class jhplot.HKey
Make a label with specific coordinates.
HLabel - Class in jhplot
Create an interactive Label in the USER or NDC coordinates.
HLabel(String, Font, Color) - Constructor for class jhplot.HLabel
Make a text label at (0,0) in the data coordinates (USER).
HLabel(String, Font) - Constructor for class jhplot.HLabel
Make a label (color- black)
HLabel(String) - Constructor for class jhplot.HLabel
Make a label with default attributes
HLabel(String, double, double) - Constructor for class jhplot.HLabel
Make a label with specific coordinated in the data system
HLabel(String, double, double, String) - Constructor for class jhplot.HLabel
Make a label with specific coordinates.
HLabelEq - Class in jhplot
Create an equation using the LaTex syntax.
HLabelEq(String, int, Color) - Constructor for class jhplot.HLabelEq
Make a label with equation using the LaTeX syntax
HLabelEq(String, int) - Constructor for class jhplot.HLabelEq
Make a equation label (color- black)
HLabelEq(String) - Constructor for class jhplot.HLabelEq
Make a label with default attributes
HLabelEq(String, double, double) - Constructor for class jhplot.HLabelEq
Make a equation label with specific coordinated in the data system
HLabelEq(String, double, double, String) - Constructor for class jhplot.HLabelEq
Make a label with specific coordinates.
HMLabel - Class in jhplot
Create an interactive multi-line label in the USER or NDC coordinates.
HMLabel(String[], Font, Color) - Constructor for class jhplot.HMLabel
Make a multitext label
HMLabel(String[], Font) - Constructor for class jhplot.HMLabel
Make a multitext label (black color is used).
HMLabel(String[]) - Constructor for class jhplot.HMLabel
Make a multitext label with default attributes.
HMLabel(String[], double, double) - Constructor for class jhplot.HMLabel
Make a label with specific coordinated in the data system
HMLabel(String[], double, double, String) - Constructor for class jhplot.HMLabel
Make a label with specific coordinates.
HNeuralNet - Class in jhplot
Neural net calculations.
HNeuralNet() - Constructor for class jhplot.HNeuralNet
Create a network net and set name for the network
homoscedasticT(double[], double[]) - Static method in class org.apache.commons.math.stat.inference.TestUtils
 
homoscedasticT(StatisticalSummary, StatisticalSummary) - Static method in class org.apache.commons.math.stat.inference.TestUtils
 
homoscedasticT(double[], double[]) - Method in interface org.apache.commons.math.stat.inference.TTest
Computes a 2-sample t statistic, under the hypothesis of equal subpopulation variances.
homoscedasticT(StatisticalSummary, StatisticalSummary) - Method in interface org.apache.commons.math.stat.inference.TTest
Computes a 2-sample t statistic, comparing the means of the datasets described by two StatisticalSummary instances, under the assumption of equal subpopulation variances.
homoscedasticT(double[], double[]) - Method in class org.apache.commons.math.stat.inference.TTestImpl
Computes a 2-sample t statistic, under the hypothesis of equal subpopulation variances.
homoscedasticT(StatisticalSummary, StatisticalSummary) - Method in class org.apache.commons.math.stat.inference.TTestImpl
Computes a 2-sample t statistic, comparing the means of the datasets described by two StatisticalSummary instances, under the assumption of equal subpopulation variances.
homoscedasticTTest(double[], double[], double) - Static method in class org.apache.commons.math.stat.inference.TestUtils
 
homoscedasticTTest(double[], double[]) - Static method in class org.apache.commons.math.stat.inference.TestUtils
 
homoscedasticTTest(StatisticalSummary, StatisticalSummary) - Static method in class org.apache.commons.math.stat.inference.TestUtils
 
homoscedasticTTest(double[], double[]) - Method in interface org.apache.commons.math.stat.inference.TTest
Returns the observed significance level, or p-value, associated with a two-sample, two-tailed t-test comparing the means of the input arrays, under the assumption that the two samples are drawn from subpopulations with equal variances.
homoscedasticTTest(double[], double[], double) - Method in interface org.apache.commons.math.stat.inference.TTest
Performs a two-sided t-test evaluating the null hypothesis that sample1 and sample2 are drawn from populations with the same mean, with significance level alpha, assuming that the subpopulation variances are equal.
homoscedasticTTest(StatisticalSummary, StatisticalSummary) - Method in interface org.apache.commons.math.stat.inference.TTest
Returns the observed significance level, or p-value, associated with a two-sample, two-tailed t-test comparing the means of the datasets described by two StatisticalSummary instances, under the hypothesis of equal subpopulation variances.
homoscedasticTTest(double[], double[]) - Method in class org.apache.commons.math.stat.inference.TTestImpl
Returns the observed significance level, or p-value, associated with a two-sample, two-tailed t-test comparing the means of the input arrays, under the assumption that the two samples are drawn from subpopulations with equal variances.
homoscedasticTTest(double[], double[], double) - Method in class org.apache.commons.math.stat.inference.TTestImpl
Performs a two-sided t-test evaluating the null hypothesis that sample1 and sample2 are drawn from populations with the same mean, with significance level alpha, assuming that the subpopulation variances are equal.
homoscedasticTTest(StatisticalSummary, StatisticalSummary) - Method in class org.apache.commons.math.stat.inference.TTestImpl
Returns the observed significance level, or p-value, associated with a two-sample, two-tailed t-test comparing the means of the datasets described by two StatisticalSummary instances, under the hypothesis of equal subpopulation variances.
horizontalSum() - Method in class jhplot.bsom.Matrix
Make a horizontal-summation vector.
HPlot - Class in jhplot
HPlot class to create a canvas with several plots.
HPlot(String, int, int, int, int, boolean) - Constructor for class jhplot.HPlot
Create HPlot canvas with several plots.
HPlot(String, int, int, int, int) - Constructor for class jhplot.HPlot
Create HPlot canvas with several plots.
HPlot(String, int, int) - Constructor for class jhplot.HPlot
Construct a HPlot canvas with a single plot.
HPlot(String, int, int, boolean) - Constructor for class jhplot.HPlot
Construct a HPlot canvas with a single plot.
HPlot(String) - Constructor for class jhplot.HPlot
Construct a HPlot canvas with a plot with the size 600x400.
HPlot() - Constructor for class jhplot.HPlot
Construct a HPlot canvas with a single plot with the size 600x400.
HPlot2D - Class in jhplot
A class to build a contour (density) plots in 2D.
HPlot2D(String, int, int, int, int, boolean) - Constructor for class jhplot.HPlot2D
Create canvas with a several plots
HPlot2D(String, int, int) - Constructor for class jhplot.HPlot2D
Construct a HChart canvas with a single plot/graph
HPlot2D(String, int, int, boolean) - Constructor for class jhplot.HPlot2D
Construct a HChart canvas with a single plot/graph
HPlot2D(String, int, int, int, int) - Constructor for class jhplot.HPlot2D
Construct a HChart canvas with plots/graphs
HPlot2D(String) - Constructor for class jhplot.HPlot2D
Construct a HChart canvas with a plot with the default parameters 600 by 400, and 10% space for the global title
HPlot2D() - Constructor for class jhplot.HPlot2D
Construct a HChart canvas with a plot with the default parameters 600 by 400, and 10% space for the global title "Default"
HPlot3D - Class in jhplot
Create a interactive canvas to show objects in 3D.
HPlot3D(String, int, int, int, int, boolean) - Constructor for class jhplot.HPlot3D
Create a canvas to display histograms in 3D
HPlot3D(String, int, int, int, int) - Constructor for class jhplot.HPlot3D
Create a canvas to display histograms in 3D
HPlot3D(String, int, int) - Constructor for class jhplot.HPlot3D
Construct a HView2D canvas with a single plot/graph
HPlot3D(String) - Constructor for class jhplot.HPlot3D
Construct a HGraph canvas with a plot with the default parameters 600 by 400, and 10% space for the global title
HPlot3D() - Constructor for class jhplot.HPlot3D
Construct a HGraph canvas with a plot with the default parameters 600 by 400, and 10% space for the global title "Default"
HPlot3DP - Class in jhplot
Create a frame for showing 3D parametric functions.
HPlot3DP(String, int, int, int, int, boolean) - Constructor for class jhplot.HPlot3DP
Create a canvas with several plots showing 3D function
HPlot3DP(String, int, int) - Constructor for class jhplot.HPlot3DP
Construct a canvas with a single plot/graph
HPlot3DP(String, int, int, int, int) - Constructor for class jhplot.HPlot3DP
Construct a canvas with plots/graphs
HPlot3DP(String) - Constructor for class jhplot.HPlot3DP
Construct a canvas with a plot with the default parameters 600 by 400, and 10% space for the global title
HPlot3DP() - Constructor for class jhplot.HPlot3DP
Construct a canvas with a plot with the default parameters 600 by 400, and 10% space for the global title "Default"
HPlotJa - Class in jhplot
A canvas to display all graphical objects including a diagrams.
HPlotJa(String, int, int, int, int, boolean) - Constructor for class jhplot.HPlotJa
Create HPlotJa canvas with several pads.
HPlotJa(String, int, int, int, int) - Constructor for class jhplot.HPlotJa
Create HPlotJa canvas with several pads and axes.
HPlotJa(String, int, int) - Constructor for class jhplot.HPlotJa
Construct a canvas with a single plot region.
HPlotJa(String) - Constructor for class jhplot.HPlotJa
Construct a japlot.jaxodraw canvas with a plot with the default parameters 600 by 400, and 10% space for the global title
HPlotJa() - Constructor for class jhplot.HPlotJa
Default constructor
HProf1D - Class in jhplot
Create profile histogram in 1D.
HProf1D() - Constructor for class jhplot.HProf1D
Build 1D histogram.
HProf1D(String, int, double, double) - Constructor for class jhplot.HProf1D
Build 1D profile histogram
HProf1D(String, double[]) - Constructor for class jhplot.HProf1D
Create 1D profile histogram with variable bin size.
HProf1D(String, IAxis) - Constructor for class jhplot.HProf1D
Create 1D histogram with variable bin size.
HProf1D(Profile1D) - Constructor for class jhplot.HProf1D
Create H1D histogram from JAIDA Histogram1D class.
HProf1D(IProfile1D) - Constructor for class jhplot.HProf1D
Create profile histogram from JAIDA class
HProf1D(String, HProf1D) - Constructor for class jhplot.HProf1D
Create profile histogram from another instance.
HProf1D(TProfile) - Constructor for class jhplot.HProf1D
Create profile histogram from JAIDA histogram class
HProf2D - Class in jhplot
Profile histogram in 2D.
HProf2D(String, int, double, double, int, double, double) - Constructor for class jhplot.HProf2D
Create 2D histogram
HProf2D(String, double[], double[]) - Constructor for class jhplot.HProf2D
Create 2D profile histogram with variable bin size.
HProf2D(Profile2D) - Constructor for class jhplot.HProf2D
Create a H2D histogram from JAIDA histogram
HShape - Class in jhplot.shapes
Main class to build a JAVA 2D primitives
HShape(double, double, double, double, Stroke, Color) - Constructor for class jhplot.shapes.HShape
Build a primitive
HShape() - Constructor for class jhplot.shapes.HShape
Build a default primitive
HShape(double, double, double, double) - Constructor for class jhplot.shapes.HShape
Build a primitive using the default color and stroke
HShape(double[], double[], Stroke, Color) - Constructor for class jhplot.shapes.HShape
Build a primitive using polyline.
HTable - Class in jhplot
Build a table in a frame to display data in various containers (P1D, H1D, F1D).
HTable(String, Vector<String>, Vector) - Constructor for class jhplot.HTable
Main class to build a table from Vectors.
HTable() - Constructor for class jhplot.HTable
Build a table frame to display data.
HTable(H1D) - Constructor for class jhplot.HTable
Build a table frame to display data of H1D histogram Data will be formated to scientific format
HTable(F1D) - Constructor for class jhplot.HTable
Build a table frame to display data of F1D function Data will be formated to scientific format
HTable(DataHolder) - Constructor for class jhplot.HTable
Build a table frame to display multidimensional data holder.
HTable(P0D) - Constructor for class jhplot.HTable
Build a table frame to display P0D data container Data will be formated to scientific format
HTable(P0I) - Constructor for class jhplot.HTable
Build a table frame to display P0D data container Data will be formated to scientific format
HTable(P1D) - Constructor for class jhplot.HTable
Build a table frame to display P1D data container Data will be formated to scientific format
HTable(P2D) - Constructor for class jhplot.HTable
Build a table frame to display P2D data container Data will be formated to scientific format
HTable(P3D) - Constructor for class jhplot.HTable
Build a table frame to display P3D data container Data will be formated to scientific format
HTable(H1D, boolean) - Constructor for class jhplot.HTable
Build a table frame to display data of H1D histogram
HTable(F1D, boolean) - Constructor for class jhplot.HTable
Build a table frame to display data of F1D function.
HTable(DataHolder, boolean) - Constructor for class jhplot.HTable
Build a table frame to display multidimensional data
HTable(P1D, boolean) - Constructor for class jhplot.HTable
Build a table frame to display P1D data container
HTable(P0D, boolean) - Constructor for class jhplot.HTable
Build a table frame to display P0D data container
HTable(P0I, boolean) - Constructor for class jhplot.HTable
Build a table frame to display P0D data container
HTable(P2D, boolean) - Constructor for class jhplot.HTable
Build a table frame to display P2D data container
HTable(P3D, boolean) - Constructor for class jhplot.HTable
Build a table frame to display P3D data container
htmlEncoded(String) - Static method in class jhplot.v3d.Util
Substitutes conflicting characters in text with html masked expressions.
HView3D - Class in jhplot
Create a frame for showing 3D objects
HView3D(String, int, int, int, int, boolean) - Constructor for class jhplot.HView3D
Create a HView3D canvas with several plots showing 3D shapes
HView3D(String, int, int) - Constructor for class jhplot.HView3D
Construct a HView3D canvas with a single plot/graph
HView3D(String, int, int, boolean) - Constructor for class jhplot.HView3D
Construct a HView3D canvas with a single plot/graph
HView3D(String, int, int, int, int) - Constructor for class jhplot.HView3D
Construct a HView3D canvas with plots/graphs
HView3D(String) - Constructor for class jhplot.HView3D
Construct a HGraph canvas with a plot with the default parameters 600 by 400, and 10% space for the global title
HView3D() - Constructor for class jhplot.HView3D
Construct a HGraph canvas with a plot with the default parameters 600 by 400, and 10% space for the global title "Default"
Hypergeometric - Class in jhplot.math.num.pdf
The Hypergeometric distribution.
Hypergeometric() - Constructor for class jhplot.math.num.pdf.Hypergeometric
Default constructor.
Hypergeometric(int, int, int) - Constructor for class jhplot.math.num.pdf.Hypergeometric
Create a distribution with the given number of failures, number of successes, and sample size.
HypergeometricDistribution - Interface in org.apache.commons.math.distribution
The Hypergeometric Distribution.
HypergeometricDistributionImpl - Class in org.apache.commons.math.distribution
The default implementation of HypergeometricDistribution.
HypergeometricDistributionImpl(int, int, int) - Constructor for class org.apache.commons.math.distribution.HypergeometricDistributionImpl
Construct a new hypergeometric distribution with the given the population size, the number of successes in the population, and the sample size.
hypot(double, double) - Static method in class jhplot.math.Mathfun
sqrt(a^2 + b^2) without under/overflow.
hypot(ValueErr, ValueErr) - Static method in class jhplot.math.ValueErr
Returns the length of the hypotenuse of a and b i.e.
hypot(double, double) - Static method in class org.apache.commons.math.util.FastMath
Returns the hypotenuse of a triangle with sides x and y - sqrt(x2 +y2)
avoiding intermediate overflow or underflow.
hypotenuse(ValueErr, ValueErr, double) - Static method in class jhplot.math.ValueErr
Returns the length of the hypotenuse of a and b i.e.
hypotenuse(double, double) - Static method in class jhplot.math.ValueErr
Returns the length of the hypotenuse of a and b i.e.
HZirkel - Class in jhplot
HZirkel class is used to create a canvas for dynamic manipulation with geometrical objects.
HZirkel() - Constructor for class jhplot.HZirkel
Build a canvas for the zirkel with the standard size 600x600
HZirkel(int, int) - Constructor for class jhplot.HZirkel
Build a canvas for the Zirkel canvas

I

I - Static variable in class org.apache.commons.math.complex.Complex
The square root of -1.
identity() - Static method in class hephysics.vec.Hep3Matrix
 
identity(int) - Static method in class jhplot.bsom.Matrix
Make an identity matrix.
identity(int) - Static method in class jhplot.math.DoubleArray
Generates an m x m identity matrix.
identity(int) - Static method in class jhplot.math.SortUtils
Create identity permutation, that is {0, 1, ..., n}
IDENTITY - Static variable in class org.apache.commons.math.analysis.ComposableFunction
The identity function.
IDENTITY - Static variable in class org.apache.commons.math.geometry.Rotation
Identity rotation.
identityPermutation(int) - Static method in class org.apache.commons.math.genetics.RandomKey
Generates a representation corresponding to an identity permutation of length l which can be passed to the RandomKey constructor.
IEditor - Class in jhplot
Advanced image editor for PNG, JPG, GIF files (based on ImageJ)
IEditor() - Constructor for class jhplot.IEditor
Show an empty image viewer.
IEditor(String) - Constructor for class jhplot.IEditor
Start image editor and load an image.
IEEEremainder(double, double) - Static method in class org.apache.commons.math.util.FastMath
Computes the remainder as prescribed by the IEEE 754 standard.
IFunctionCoreNotNorm - Class in hep.aida.ref.function
Wrapper around ordinary IFunction
IFunctionCoreNotNorm(IFunction) - Constructor for class hep.aida.ref.function.IFunctionCoreNotNorm
 
IFunctionCoreNotNorm(IFunction, double[]) - Constructor for class hep.aida.ref.function.IFunctionCoreNotNorm
 
imag() - Method in class jhplot.math.Complex
Imaginary part of this Complex number (the y-coordinate in rectangular coordinates).
IMAGE - Static variable in class jhplot.shapes.HShape
 
include(double, double) - Method in class hep.aida.ref.function.RangeSet
Additive include/exclude of the range in given axis.
includeAll() - Method in class hep.aida.ref.function.RangeSet
Set full range in all axes.
includeNormalizationAll(int) - Method in class hep.aida.ref.function.AbstractDevModelFunction
 
includeNormalizationAll() - Method in class hep.aida.ref.function.AbstractDevModelFunction
 
includeNormalizationAll() - Method in class hep.aida.ref.function.AbstractIFunction
 
includeNormalizationAll() - Method in class hep.aida.ref.function.BaseModelFunction
 
includeNormalizationRange(double, double, int) - Method in class hep.aida.ref.function.AbstractDevModelFunction
 
increment(int, int, double, double) - Static method in class jhplot.math.DoubleArray
Provides an mxn matrix.
increment(int, double, double) - Static method in class jhplot.math.DoubleArray
Provides a sequence of successive values in an array.
increment(int, int, double[], double[]) - Static method in class jhplot.math.DoubleArray
Generates an mxn matrix.
increment(double, double, double) - Static method in class jhplot.math.DoubleArray
Generates an array of successive values from begin to end with step size pitch.
increment(double) - Method in class org.apache.commons.math.stat.descriptive.AbstractStorelessUnivariateStatistic
Updates the internal state of the statistic to reflect the addition of the new value.
increment(double) - Method in class org.apache.commons.math.stat.descriptive.moment.FirstMoment
Updates the internal state of the statistic to reflect the addition of the new value.
increment(double) - Method in class org.apache.commons.math.stat.descriptive.moment.FourthMoment
Updates the internal state of the statistic to reflect the addition of the new value.
increment(double) - Method in class org.apache.commons.math.stat.descriptive.moment.GeometricMean
Updates the internal state of the statistic to reflect the addition of the new value.
increment(double) - Method in class org.apache.commons.math.stat.descriptive.moment.Kurtosis
Updates the internal state of the statistic to reflect the addition of the new value.
increment(double) - Method in class org.apache.commons.math.stat.descriptive.moment.Mean
Updates the internal state of the statistic to reflect the addition of the new value.
increment(double) - Method in class org.apache.commons.math.stat.descriptive.moment.SecondMoment
Updates the internal state of the statistic to reflect the addition of the new value.
increment(double) - Method in class org.apache.commons.math.stat.descriptive.moment.Skewness
Updates the internal state of the statistic to reflect the addition of the new value.
increment(double) - Method in class org.apache.commons.math.stat.descriptive.moment.StandardDeviation
Updates the internal state of the statistic to reflect the addition of the new value.
increment(double) - Method in class org.apache.commons.math.stat.descriptive.moment.ThirdMoment
Updates the internal state of the statistic to reflect the addition of the new value.
increment(double) - Method in class org.apache.commons.math.stat.descriptive.moment.Variance
Updates the internal state of the statistic to reflect the addition of the new value.
increment(double[]) - Method in class org.apache.commons.math.stat.descriptive.moment.VectorialCovariance
Add a new vector to the sample.
increment(double[]) - Method in class org.apache.commons.math.stat.descriptive.moment.VectorialMean
Add a new vector to the sample.
increment(double) - Method in class org.apache.commons.math.stat.descriptive.rank.Max
Updates the internal state of the statistic to reflect the addition of the new value.
increment(double) - Method in class org.apache.commons.math.stat.descriptive.rank.Min
Updates the internal state of the statistic to reflect the addition of the new value.
increment(double) - Method in interface org.apache.commons.math.stat.descriptive.StorelessUnivariateStatistic
Updates the internal state of the statistic to reflect the addition of the new value.
increment(double) - Method in class org.apache.commons.math.stat.descriptive.summary.Product
Updates the internal state of the statistic to reflect the addition of the new value.
increment(double) - Method in class org.apache.commons.math.stat.descriptive.summary.Sum
Updates the internal state of the statistic to reflect the addition of the new value.
increment(double) - Method in class org.apache.commons.math.stat.descriptive.summary.SumOfLogs
Updates the internal state of the statistic to reflect the addition of the new value.
increment(double) - Method in class org.apache.commons.math.stat.descriptive.summary.SumOfSquares
Updates the internal state of the statistic to reflect the addition of the new value.
incrementAll(double[]) - Method in class org.apache.commons.math.stat.descriptive.AbstractStorelessUnivariateStatistic
This default implementation just calls AbstractStorelessUnivariateStatistic.increment(double) in a loop over the input array.
incrementAll(double[], int, int) - Method in class org.apache.commons.math.stat.descriptive.AbstractStorelessUnivariateStatistic
This default implementation just calls AbstractStorelessUnivariateStatistic.increment(double) in a loop over the specified portion of the input array.
incrementAll(double[]) - Method in interface org.apache.commons.math.stat.descriptive.StorelessUnivariateStatistic
Updates the internal state of the statistic to reflect addition of all values in the values array.
incrementAll(double[], int, int) - Method in interface org.apache.commons.math.stat.descriptive.StorelessUnivariateStatistic
Updates the internal state of the statistic to reflect addition of the values in the designated portion of the values array.
incRot(float, float, float) - Method in class jhplot.v3d.Position
 
incScale(float, float, float) - Method in class jhplot.v3d.Position
 
incTrans(float, float, float) - Method in class jhplot.v3d.Position
 
IndexFunction - Interface in jhplot.math
BSD License
indexOfFunction(IFunction) - Method in class hep.aida.ref.function.SumOfFunctions
 
indexOfParameter(String) - Method in class hep.aida.ref.fitter.InternalFitFunction
 
indexOfParameter(String) - Method in class hep.aida.ref.function.AbstractDevModelFunction
 
indexOfParameter(String) - Method in class hep.aida.ref.function.AbstractIFunction
 
indexOfParameter(String) - Method in class hep.aida.ref.function.BaseModelFunction
 
indexOfParameter(String) - Method in class hep.aida.ref.function.FunctionCore
 
indexOfParameter(String) - Method in class hep.aida.ref.function.SumOfFunctions
 
IndexPlot - Static variable in class jhplot.HChart
 
indicator(byte) - Static method in class org.apache.commons.math.util.MathUtils
For a byte value x, this method returns (byte)(+1) if x >= 0 and (byte)(-1) if x < 0.
indicator(double) - Static method in class org.apache.commons.math.util.MathUtils
For a double precision value x, this method returns +1.0 if x >= 0 and -1.0 if x < 0.
indicator(float) - Static method in class org.apache.commons.math.util.MathUtils
For a float value x, this method returns +1.0F if x >= 0 and -1.0F if x < 0.
indicator(int) - Static method in class org.apache.commons.math.util.MathUtils
For an int value x, this method returns +1 if x >= 0 and -1 if x < 0.
indicator(long) - Static method in class org.apache.commons.math.util.MathUtils
For a long value x, this method returns +1L if x >= 0 and -1L if x < 0.
indicator(short) - Static method in class org.apache.commons.math.util.MathUtils
For a short value x, this method returns (short)(+1) if x >= 0 and (short)(-1) if x < 0.
inducedPermutation(List<S>, List<S>) - Static method in class org.apache.commons.math.genetics.RandomKey
Generates a representation of a permutation corresponding to a permutation which yields permutedData when applied to originalData.
INF - Static variable in class org.apache.commons.math.complex.Complex
A complex number representing "+INF + INFi"
INFINITE - Static variable in class org.apache.commons.math.dfp.Dfp
Indicator value for Infinity.
INFINITE_WINDOW - Static variable in class org.apache.commons.math.stat.descriptive.DescriptiveStatistics
Represents an infinite window size.
init(String, String, int, String) - Method in class hep.aida.ref.tree.Tree
Non-AIDA methods are down here.
init(String, boolean, boolean, String, String, boolean) - Method in class hep.aida.ref.tree.Tree
Associate the tree with a store
init(int) - Method in class jhplot.bsom.Bsom
 
init() - Method in class jhplot.bsom.BsomDemo
 
init() - Static method in class jhplot.JHPlot
Initialization.
init() - Method in class jhplot.v3d.Animation
 
init() - Method in class jhpro.stat.limit.LimitCalculatorGui
 
INIT_SIZE - Static variable in class jhplot.jadraw.JaObject
An integer that gives the initial size of an object.
initBinner(Binner1D) - Method in class hep.aida.ref.histogram.binner.AbstractBinner1D
 
initCloud(int, String) - Method in class hep.aida.ref.histogram.Cloud
 
initHistogram1D(IAxis, String) - Method in class hep.aida.ref.histogram.Histogram1D
 
initHistogram2D(IAxis, IAxis, String) - Method in class hep.aida.ref.histogram.Histogram2D
 
initHistogram3D(IAxis, IAxis, IAxis, String) - Method in class hep.aida.ref.histogram.Histogram3D
 
initialize(ITuple) - Method in class hep.aida.ref.fitter.fitdata.RangeSetFilter
 
initialize(ITuple) - Method in class hep.aida.ref.tuple.Evaluator
 
initialize(ITuple) - Method in class hep.aida.ref.tuple.Filter
 
initialize() - Method in interface jhplot.math.num.IterativeMethod.IterativeState
Initialize the state to begin an iterative evaluation.
initializeHighOrderDerivatives(double[], double[][]) - Method in interface org.apache.commons.math.ode.MultistepIntegrator.NordsieckTransformer
Initialize the high order scaled derivatives at step start.
initializeHighOrderDerivatives(double[], double[][]) - Method in class org.apache.commons.math.ode.nonstiff.AdamsNordsieckTransformer
Initialize the high order scaled derivatives at step start.
initializeStep(FirstOrderDifferentialEquations, boolean, int, double[], double, double[], double[], double[], double[]) - Method in class org.apache.commons.math.ode.nonstiff.AdaptiveStepsizeIntegrator
Initialize the integration step.
initPar(double, double, int) - Method in class jhplot.bsom.Bsom
initialize learning
initProfile1D(IAxis) - Method in class hep.aida.ref.histogram.Profile1D
 
initProfile1D(IAxis, String) - Method in class hep.aida.ref.histogram.Profile1D
 
initProfile2D(IAxis, IAxis) - Method in class hep.aida.ref.histogram.Profile2D
 
initProfile2D(IAxis, IAxis, String) - Method in class hep.aida.ref.histogram.Profile2D
 
insert(String, Object) - Method in class jhplot.io.HDataBase
Insert an object with a key
insert(double[], int, double...) - Static method in class jhplot.math.DoubleArray
Insert any number of values, or a single array, between 2 elements of an array.
insert(int[], int, int...) - Static method in class jhplot.math.IntegerArray
 
insertColumn(int[][], int[], int) - Static method in class jhplot.math.IntegerArray
 
insertColumns(double[][], int, double[]...) - Static method in class jhplot.math.DoubleArray
Insert any number of arrays between 2 columns of a matrix.
insertColumns(int[][], int[][], int) - Static method in class jhplot.math.IntegerArray
 
insertRecord(RecordWriter) - Method in class jhplot.io.BaseRecordsFile
Adds the given record to the database.
insertRow(int[][], int[], int) - Static method in class jhplot.math.IntegerArray
 
insertRows(double[][], int, double[]...) - Static method in class jhplot.math.DoubleArray
Insert any number of arrays between 2 rows of a matrix.
insertRows(int[][], int[][], int) - Static method in class jhplot.math.IntegerArray
 
int2double(int[][]) - Static method in class jhplot.math.IntegerArray
 
int2double(int[]) - Static method in class jhplot.math.IntegerArray
 
IntegerArray - Class in jhplot.math
BSD License
IntegerArray() - Constructor for class jhplot.math.IntegerArray
 
IntegerDistribution - Interface in org.apache.commons.math.distribution
Interface for discrete distributions of integer-valued random variables.
integral(String, int, double, double) - Method in class jhplot.F1D
Numerical integration.
integral(int, double, double) - Method in class jhplot.F1D
Numerical integration using trapezium rule.
integral(int, double, double, double, double) - Method in class jhplot.F2D
Numerical integration using trapezium rule.
integral() - Method in class jhplot.H1D
Sum of all heights
integral(int, int, boolean) - Method in class jhplot.H1D
Integrate a histogram between two bin indices (between 1 and max number) The integral is computed as the sum of bin contents in the range if the last parameter is false.
integral(int, int) - Method in class jhplot.H1D
Integrate a histogram between two bin indices (between 1 and max number) By default the integral is computed as the sum of bin contents in the range.
integral(int, int, int, int) - Method in class jhplot.H2D
Integrate histogram between two indices.
integral(int, int, int, int, boolean) - Method in class jhplot.H2D
Integrate histogram between two indices.
integral(int, int) - Method in class jhplot.P1D
Integrate P1D between two indices (between 1 and max index)
integral() - Method in class jhplot.P1D
Integrate P1D (sum up all Y values)
integralMC(IModelFunction) - Static method in class hep.aida.ref.function.FunctionIntegrator
 
integralRange(double, double, double, double, boolean) - Method in class jhplot.H2D
Integrate histogram in the range.
integralRegion(double, double, boolean) - Method in class jhplot.H1D
Integrate histogram in a region between Xmin and Xmax.
integralRegion(double, double) - Method in class jhplot.H1D
Integrate histogram in a region between Xmin and Xmax.
integralSimpson(IModelFunction) - Static method in class hep.aida.ref.function.FunctionIntegrator
 
integralTrapezoid(IModelFunction) - Static method in class hep.aida.ref.function.FunctionIntegrator
 
integralVegasMC(IModelFunction) - Static method in class hep.aida.ref.function.FunctionIntegrator
 
integrate(double, double) - Method in class jhplot.math.num.integration.AdaptiveIntegrator
Evaluate the definite integral from a to b.
integrate(double, double) - Method in class jhplot.math.num.integration.RombergIntegrator
Evaluate the definite integral from a to b.
integrate(double, double) - Method in class jhplot.math.num.integration.SimpsonsIntegrator
Evaluate the definite integral from a to b.
integrate(double, double) - Method in class jhplot.math.num.integration.TrapezoidalIntegrator
Evaluate the definite integral from a to b.
integrate(double, double) - Method in class org.apache.commons.math.analysis.integration.LegendreGaussIntegrator
Deprecated. 
integrate(UnivariateRealFunction, double, double) - Method in class org.apache.commons.math.analysis.integration.LegendreGaussIntegrator
Integrate the function in the given interval.
integrate(double, double) - Method in class org.apache.commons.math.analysis.integration.RombergIntegrator
Deprecated. 
integrate(UnivariateRealFunction, double, double) - Method in class org.apache.commons.math.analysis.integration.RombergIntegrator
Integrate the function in the given interval.
integrate(double, double) - Method in class org.apache.commons.math.analysis.integration.SimpsonIntegrator
Deprecated. 
integrate(UnivariateRealFunction, double, double) - Method in class org.apache.commons.math.analysis.integration.SimpsonIntegrator
Integrate the function in the given interval.
integrate(double, double) - Method in class org.apache.commons.math.analysis.integration.TrapezoidIntegrator
Deprecated. 
integrate(UnivariateRealFunction, double, double) - Method in class org.apache.commons.math.analysis.integration.TrapezoidIntegrator
Integrate the function in the given interval.
integrate(double, double) - Method in interface org.apache.commons.math.analysis.integration.UnivariateRealIntegrator
Deprecated. replaced by UnivariateRealIntegrator.integrate(UnivariateRealFunction, double, double) since 2.0
integrate(UnivariateRealFunction, double, double) - Method in interface org.apache.commons.math.analysis.integration.UnivariateRealIntegrator
Integrate the function in the given interval.
integrate(FirstOrderDifferentialEquations, double, double[], double, double[]) - Method in interface org.apache.commons.math.ode.FirstOrderIntegrator
Integrate the differential equations up to the given time.
integrate(double, double[], double[][], double, double[], double[][], double[][]) - Method in class org.apache.commons.math.ode.jacobians.FirstOrderIntegratorWithJacobians
Deprecated. Integrate the differential equations and the variational equations up to the given time.
integrate(FirstOrderDifferentialEquations, double, double[], double, double[]) - Method in class org.apache.commons.math.ode.nonstiff.AdamsBashforthIntegrator
Integrate the differential equations up to the given time.
integrate(FirstOrderDifferentialEquations, double, double[], double, double[]) - Method in class org.apache.commons.math.ode.nonstiff.AdamsIntegrator
Integrate the differential equations up to the given time.
integrate(FirstOrderDifferentialEquations, double, double[], double, double[]) - Method in class org.apache.commons.math.ode.nonstiff.AdamsMoultonIntegrator
Integrate the differential equations up to the given time.
integrate(FirstOrderDifferentialEquations, double, double[], double, double[]) - Method in class org.apache.commons.math.ode.nonstiff.AdaptiveStepsizeIntegrator
Integrate the differential equations up to the given time.
integrate(FirstOrderDifferentialEquations, double, double[], double, double[]) - Method in class org.apache.commons.math.ode.nonstiff.EmbeddedRungeKuttaIntegrator
Integrate the differential equations up to the given time.
integrate(FirstOrderDifferentialEquations, double, double[], double, double[]) - Method in class org.apache.commons.math.ode.nonstiff.GraggBulirschStoerIntegrator
Integrate the differential equations up to the given time.
integrate(FirstOrderDifferentialEquations, double, double[], double, double[]) - Method in class org.apache.commons.math.ode.nonstiff.RungeKuttaIntegrator
Integrate the differential equations up to the given time.
integrate(SecondOrderDifferentialEquations, double, double[], double[], double, double[], double[]) - Method in interface org.apache.commons.math.ode.SecondOrderIntegrator
Integrate the differential equations up to the given time
IntegratorException - Exception in org.apache.commons.math.ode
This exception is made available to users to report the error conditions that are triggered during integration
IntegratorException(String, Object...) - Constructor for exception org.apache.commons.math.ode.IntegratorException
Deprecated. as of 2.2 replaced by IntegratorException.IntegratorException(Localizable, Object...)
IntegratorException(Localizable, Object...) - Constructor for exception org.apache.commons.math.ode.IntegratorException
Simple constructor.
IntegratorException(Throwable) - Constructor for exception org.apache.commons.math.ode.IntegratorException
Create an exception with a given root cause.
InternalFitFunction - Class in hep.aida.ref.fitter
 
InternalFitFunction(IDevFitDataIterator, IModelFunction, IFitMethod) - Constructor for class hep.aida.ref.fitter.InternalFitFunction
 
interpolate(double[], double[], double[][]) - Method in class org.apache.commons.math.analysis.interpolation.BicubicSplineInterpolator
Computes an interpolating function for the data set.
interpolate(double[], double[], double[][]) - Method in interface org.apache.commons.math.analysis.interpolation.BivariateRealGridInterpolator
Computes an interpolating function for the data set.
interpolate(double[], double[]) - Method in class org.apache.commons.math.analysis.interpolation.DividedDifferenceInterpolator
Computes an interpolating function for the data set.
interpolate(double[], double[]) - Method in class org.apache.commons.math.analysis.interpolation.LinearInterpolator
Computes a linear interpolating function for the data set.
interpolate(double[], double[]) - Method in class org.apache.commons.math.analysis.interpolation.LoessInterpolator
Compute an interpolating function by performing a loess fit on the data at the original abscissae and then building a cubic spline with a SplineInterpolator on the resulting fit.
interpolate(double[][], double[]) - Method in class org.apache.commons.math.analysis.interpolation.MicrosphereInterpolator
Computes an interpolating function for the data set.
interpolate(double[][], double[]) - Method in interface org.apache.commons.math.analysis.interpolation.MultivariateRealInterpolator
Computes an interpolating function for the data set.
interpolate(double[], double[]) - Method in class org.apache.commons.math.analysis.interpolation.NevilleInterpolator
Computes an interpolating function for the data set.
interpolate(double[], double[], double[][]) - Method in class org.apache.commons.math.analysis.interpolation.SmoothingBicubicSplineInterpolator
Deprecated. Computes an interpolating function for the data set.
interpolate(double[], double[], double[][]) - Method in class org.apache.commons.math.analysis.interpolation.SmoothingPolynomialBicubicSplineInterpolator
Computes an interpolating function for the data set.
interpolate(double[], double[]) - Method in class org.apache.commons.math.analysis.interpolation.SplineInterpolator
Computes an interpolating function for the data set.
interpolate(double[], double[], double[], double[][][]) - Method in class org.apache.commons.math.analysis.interpolation.TricubicSplineInterpolator
Computes an interpolating function for the data set.
interpolate(double[], double[], double[], double[][][]) - Method in interface org.apache.commons.math.analysis.interpolation.TrivariateRealGridInterpolator
Computes an interpolating function for the data set.
interpolate(double[], double[]) - Method in interface org.apache.commons.math.analysis.interpolation.UnivariateRealInterpolator
Computes an interpolating function for the data set.
interpolateCubicSpline(double, int) - Method in class jhplot.stat.Interpolator
Calculate a spline with nodes at (x, y), with weights w and smoothing factor rho.
interpolateLoess(double, int, double, int) - Method in class jhplot.stat.Interpolator
Performs a Local Regression Algorithm (also Loess, Lowess) for interpolation of data points.
interpolateNatuarlCubicSpline() - Method in class jhplot.stat.Interpolator
Natural cubic splines interpolation.
Interpolator - Class in jhplot.stat
Perform interpolation of a data using different algorithm.
Interpolator(double[], double[]) - Constructor for class jhplot.stat.Interpolator
Initialize interpolator
Interpolator(P1D) - Constructor for class jhplot.stat.Interpolator
Initialize interpolator for P1D array.
Interpolator(H1D) - Constructor for class jhplot.stat.Interpolator
Initialize interpolator for a histogram.
Interpolator.Cubic - Class in jhplot.stat
represents a cubic polynomial.
Interpolator.Cubic(double, double, double, double) - Constructor for class jhplot.stat.Interpolator.Cubic
a + b*u + c*u^2 +d*u^3
intValue() - Method in class org.apache.commons.math.dfp.Dfp
Convert this to an integer.
intValue() - Method in class org.apache.commons.math.fraction.BigFraction
Gets the fraction as an int.
intValue() - Method in class org.apache.commons.math.fraction.Fraction
Gets the fraction as an int.
inv_center_reduce(double[]) - Method in class jhplot.stat.PCA
 
inv_center_reduce(double[][]) - Method in class jhplot.stat.PCA
 
InvalidMatrixException - Exception in org.apache.commons.math.linear
Thrown when a system attempts an operation on a matrix, and that matrix does not satisfy the preconditions for the aforementioned operation.
InvalidMatrixException(String, Object...) - Constructor for exception org.apache.commons.math.linear.InvalidMatrixException
Deprecated. since 2.2 replaced by InvalidMatrixException.InvalidMatrixException(Localizable, Object...)
InvalidMatrixException(Localizable, Object...) - Constructor for exception org.apache.commons.math.linear.InvalidMatrixException
Construct an exception with the given message.
InvalidMatrixException(Throwable) - Constructor for exception org.apache.commons.math.linear.InvalidMatrixException
Construct an exception with the given message.
InvalidRepresentationException - Exception in org.apache.commons.math.genetics
Exception indicating that the representation of a chromosome is not valid.
InvalidRepresentationException() - Constructor for exception org.apache.commons.math.genetics.InvalidRepresentationException
Constructor
InvalidRepresentationException(String) - Constructor for exception org.apache.commons.math.genetics.InvalidRepresentationException
Construct an InvalidRepresentationException
InvalidRepresentationException(Throwable) - Constructor for exception org.apache.commons.math.genetics.InvalidRepresentationException
Construct an InvalidRepresentationException
InvalidRepresentationException(String, Throwable) - Constructor for exception org.apache.commons.math.genetics.InvalidRepresentationException
Construct an InvalidRepresentationException
invariantMass() - Method in class hephysics.vec.HepLorentzVector
Same as m().
invariantMass2() - Method in class hephysics.vec.HepLorentzVector
Same as m2().
inverse(Hep3Matrix) - Static method in class hephysics.vec.VecOp
 
inverse(double[][]) - Static method in class jhplot.math.LinearAlgebra
 
inverse(int[]) - Static method in class jhplot.math.SortUtils
Compute inverse permutation
inverse() - Method in class jhplot.math.ValueErr
Returns the inverse (1/a) of a ValueErr number
inverse(ValueErr) - Static method in class jhplot.math.ValueErr
Returns the reciprocal (1/a) of a ValueErr number (a)
inverse() - Method in class org.apache.commons.math.linear.AbstractRealMatrix
Deprecated. 
inverse() - Method in interface org.apache.commons.math.linear.BigMatrix
Deprecated. Returns the inverse of this matrix.
inverse() - Method in class org.apache.commons.math.linear.BigMatrixImpl
Deprecated. Returns the inverse matrix if this matrix is invertible.
inverse() - Method in interface org.apache.commons.math.linear.RealMatrix
Deprecated. as of release 2.0, replaced by new LUDecompositionImpl(m).getSolver().getInverse()
inverseCumulativeProbability(double) - Method in class jhplot.math.num.pdf.Beta
The inverse CDF for this distribution.
inverseCumulativeProbability(double) - Method in class jhplot.math.num.pdf.Binomial
The inverse CDF for this distribution.
inverseCumulativeProbability(double) - Method in class jhplot.math.num.pdf.Cauchy
The inverse CDF for this distribution.
inverseCumulativeProbability(double) - Method in class jhplot.math.num.pdf.ChiSquared
The inverse CDF for this distribution.
inverseCumulativeProbability(double) - Method in class jhplot.math.num.pdf.ContinuousDistribution
The inverse CDF for this distribution.
inverseCumulativeProbability(double) - Method in class jhplot.math.num.pdf.DiscreteDistribution
The inverse CDF for this distribution.
inverseCumulativeProbability(double) - Method in class jhplot.math.num.pdf.Exponential
The inverse CDF for this distribution.
inverseCumulativeProbability(double) - Method in class jhplot.math.num.pdf.FDistribution
The inverse CDF for this distribution.
inverseCumulativeProbability(double) - Method in class jhplot.math.num.pdf.Gamma
The inverse CDF for this distribution.
inverseCumulativeProbability(double) - Method in class jhplot.math.num.pdf.Geometric
The inverse CDF for this distribution.
inverseCumulativeProbability(double) - Method in class jhplot.math.num.pdf.Hypergeometric
The inverse CDF for this distribution.
inverseCumulativeProbability(double) - Method in class jhplot.math.num.pdf.Laplace
The inverse CDF for this distribution.
inverseCumulativeProbability(double) - Method in class jhplot.math.num.pdf.Logistic
The inverse CDF for this distribution.
inverseCumulativeProbability(double) - Method in class jhplot.math.num.pdf.LogNormal
The inverse CDF for this distribution.
inverseCumulativeProbability(double) - Method in class jhplot.math.num.pdf.NegativeBinomial
The inverse CDF for this distribution.
inverseCumulativeProbability(double) - Method in class jhplot.math.num.pdf.Normal
The inverse CDF for this distribution.
inverseCumulativeProbability(double) - Method in class jhplot.math.num.pdf.Poisson
The inverse CDF for this distribution.
inverseCumulativeProbability(double) - Method in class jhplot.math.num.pdf.Rayleigh
The inverse CDF for this distribution.
inverseCumulativeProbability(double) - Method in class jhplot.math.num.pdf.TDistribution
The inverse CDF for this distribution.
inverseCumulativeProbability(double) - Method in class jhplot.math.num.pdf.Uniform
The inverse CDF for this distribution.
inverseCumulativeProbability(double) - Method in class jhplot.math.num.pdf.Weibull
The inverse CDF for this distribution.
inverseCumulativeProbability(double) - Method in class org.apache.commons.math.distribution.AbstractContinuousDistribution
For this distribution, X, this method returns the critical point x, such that P(X < x) = p.
inverseCumulativeProbability(double) - Method in class org.apache.commons.math.distribution.AbstractIntegerDistribution
For a random variable X whose values are distributed according to this distribution, this method returns the largest x, such that P(X ≤ x) ≤ p.
inverseCumulativeProbability(double) - Method in class org.apache.commons.math.distribution.BetaDistributionImpl
For this distribution, X, this method returns the critical point x, such that P(X < x) = p.
inverseCumulativeProbability(double) - Method in class org.apache.commons.math.distribution.BinomialDistributionImpl
For this distribution, X, this method returns the largest x, such that P(X ≤ x) ≤ p.
inverseCumulativeProbability(double) - Method in class org.apache.commons.math.distribution.CauchyDistributionImpl
For this distribution, X, this method returns the critical point x, such that P(X < x) = p.
inverseCumulativeProbability(double) - Method in class org.apache.commons.math.distribution.ChiSquaredDistributionImpl
For this distribution, X, this method returns the critical point x, such that P(X < x) = p.
inverseCumulativeProbability(double) - Method in interface org.apache.commons.math.distribution.ContinuousDistribution
For this distribution, X, this method returns x such that P(X < x) = p.
inverseCumulativeProbability(double) - Method in class org.apache.commons.math.distribution.ExponentialDistributionImpl
For this distribution, X, this method returns the critical point x, such that P(X < x) = p.
inverseCumulativeProbability(double) - Method in class org.apache.commons.math.distribution.FDistributionImpl
For this distribution, X, this method returns the critical point x, such that P(X < x) = p.
inverseCumulativeProbability(double) - Method in class org.apache.commons.math.distribution.GammaDistributionImpl
For this distribution, X, this method returns the critical point x, such that P(X < x) = p.
inverseCumulativeProbability(double) - Method in interface org.apache.commons.math.distribution.IntegerDistribution
For this distribution, X, this method returns the largest x such that P(X ≤ x) <= p.
inverseCumulativeProbability(double) - Method in class org.apache.commons.math.distribution.NormalDistributionImpl
For this distribution, X, this method returns the critical point x, such that P(X < x) = p.
inverseCumulativeProbability(double) - Method in class org.apache.commons.math.distribution.PascalDistributionImpl
For this distribution, X, this method returns the largest x, such that P(X ≤ x) ≤ p.
inverseCumulativeProbability(double) - Method in class org.apache.commons.math.distribution.TDistributionImpl
For this distribution, X, this method returns the critical point x, such that P(X < x) = p.
inverseCumulativeProbability(double) - Method in class org.apache.commons.math.distribution.WeibullDistributionImpl
For this distribution, X, this method returns the critical point x, such that P(X < x) = p.
inverseErf(double) - Static method in class jhplot.math.num.special.Erf
Returns the inverse error function erf-1(y).
inverseLU(double[][]) - Static method in class jhplot.math.LinearAlgebra
 
inverseQR(double[][]) - Static method in class jhplot.math.LinearAlgebra
 
inversetransform(double[]) - Method in class org.apache.commons.math.transform.FastCosineTransformer
Inversely transform the given real data set.
inversetransform(UnivariateRealFunction, double, double, int) - Method in class org.apache.commons.math.transform.FastCosineTransformer
Inversely transform the given real function, sampled on the given interval.
inversetransform(double[]) - Method in class org.apache.commons.math.transform.FastFourierTransformer
Inversely transform the given real data set.
inversetransform(UnivariateRealFunction, double, double, int) - Method in class org.apache.commons.math.transform.FastFourierTransformer
Inversely transform the given real function, sampled on the given interval.
inversetransform(Complex[]) - Method in class org.apache.commons.math.transform.FastFourierTransformer
Inversely transform the given complex data set.
inversetransform(double[]) - Method in class org.apache.commons.math.transform.FastHadamardTransformer
Inversely transform the given real data set.
inversetransform(UnivariateRealFunction, double, double, int) - Method in class org.apache.commons.math.transform.FastHadamardTransformer
Inversely transform the given real function, sampled on the given interval.
inversetransform(double[]) - Method in class org.apache.commons.math.transform.FastSineTransformer
Inversely transform the given real data set.
inversetransform(UnivariateRealFunction, double, double, int) - Method in class org.apache.commons.math.transform.FastSineTransformer
Inversely transform the given real function, sampled on the given interval.
inversetransform(double[]) - Method in interface org.apache.commons.math.transform.RealTransformer
Inversely transform the given real data set.
inversetransform(UnivariateRealFunction, double, double, int) - Method in interface org.apache.commons.math.transform.RealTransformer
Inversely transform the given real function, sampled on the given interval.
inversetransform2(double[]) - Method in class org.apache.commons.math.transform.FastCosineTransformer
Inversely transform the given real data set.
inversetransform2(UnivariateRealFunction, double, double, int) - Method in class org.apache.commons.math.transform.FastCosineTransformer
Inversely transform the given real function, sampled on the given interval.
inversetransform2(double[]) - Method in class org.apache.commons.math.transform.FastFourierTransformer
Inversely transform the given real data set.
inversetransform2(UnivariateRealFunction, double, double, int) - Method in class org.apache.commons.math.transform.FastFourierTransformer
Inversely transform the given real function, sampled on the given interval.
inversetransform2(Complex[]) - Method in class org.apache.commons.math.transform.FastFourierTransformer
Inversely transform the given complex data set.
inversetransform2(double[]) - Method in class org.apache.commons.math.transform.FastSineTransformer
Inversely transform the given real data set.
inversetransform2(UnivariateRealFunction, double, double, int) - Method in class org.apache.commons.math.transform.FastSineTransformer
Inversely transform the given real function, sampled on the given interval.
invert() - Method in class hephysics.vec.Hep3Matrix
 
invert(double[]) - Static method in class jhplot.math.ArrayMathUtils
Inverts an array from left to right.
invert(int[]) - Static method in class jhplot.math.ArrayMathUtils
Inverts an array from left to right.
INVERT - Static variable in class org.apache.commons.math.analysis.ComposableFunction
The invert operator wrapped as a ComposableFunction.
invertIndex(int[]) - Static method in class jhplot.math.Sorting
 
IsApplet - Static variable in class jhplot.HZirkel
 
isArrow() - Method in class jhplot.jadraw.JaArcObject
Determines whether the arrow property of this arc object is set or not.
isArrow() - Method in class jhplot.jadraw.JaLineObject
Determines whether the arrow property of this line object is set or not.
isArrow() - Method in class jhplot.jadraw.JaLoopObject
Determines whether the arrow property of this loop object is set or not.
isAutoRange(int) - Method in class jhplot.jadraw.JaAxes
Is the graph axis were done with the aoutorange option?
isAxisShown(int) - Method in class jhplot.HPlot
Returns whether an axis line will be drawn or not.
isBack() - Method in class jhplot.jadraw.JaLineObject
Determines whether the back property of this line object is set or not.
isBars() - Method in class jhplot.DrawOptions
Return true if histogram is shown using bars.
isBiasCorrected() - Method in class org.apache.commons.math.stat.descriptive.moment.SemiVariance
Returns true iff biasCorrected property is set to true.
isBiasCorrected() - Method in class org.apache.commons.math.stat.descriptive.moment.StandardDeviation
 
isBiasCorrected() - Method in class org.apache.commons.math.stat.descriptive.moment.Variance
 
isBorder() - Method in class jhplot.GHMargin
Is boarder shown?
isBorderShown() - Method in class jhplot.GHPanel
is the boarder of margins shown?
isBound() - Method in class hep.aida.ref.fitter.FitParameterSettings
 
isBound() - Method in class org.apache.commons.math.estimation.EstimatedParameter
Deprecated. Check if the parameter is bound
isColumnDimension(double[][], int) - Static method in class jhplot.math.DoubleArray
Same as checkColumnDimension() but just returns a boolean value rather than throwing an exception.
isConnected() - Method in class hep.aida.ref.event.AIDAObservable
 
isConnected() - Method in interface hep.aida.ref.event.Connectable
 
isConnected() - Method in class hep.aida.ref.event.ConnectEvent
 
isContour() - Method in class jhplot.HPlotJa
is contour plot?
isContour() - Method in class jhplot.jadraw.JaAxes
Is contour plot shown?
isContourBar() - Method in class jhplot.HPlotJa
Show a bar indicating levels on contour plot
isContourBar() - Method in class jhplot.jadraw.JaAxes
is a bar showing levels should be shown?
isConverted() - Method in class hep.aida.ref.histogram.Cloud
Check if the ICloud has been converted to an IHistogram.
isConverted() - Method in class hep.aida.ref.histogram.Cloud1D
Has the Cloud been converted to a Histogram?
isConverted() - Method in class hep.aida.ref.histogram.Cloud2D
Has the Cloud been converted to a Histogram?
isConverted() - Method in class hep.aida.ref.histogram.Cloud3D
Has the Cloud been converted to a Histogram?
isCopy(JaObject) - Method in class jhplot.jadraw.JaAxes
Returns true if all serializable variables of this JaObject and those of the specified one are equal.
isCopy(JaObject) - Method in class jhplot.jadraw.JaBlob
Returns true if all serializable variables of this JaObject and those of the specified one are equal.
isCopy(JaObject) - Method in class jhplot.jadraw.JaBox
Returns true if all serializable variables of this JaObject and those of the specified one are equal.
isCopy(JaObject) - Method in class jhplot.jadraw.JaFArc
Returns true if all serializable variables of this JaFArc and those of the specified one are equal.
isCopy(JaObject) - Method in class jhplot.jadraw.JaFLine
Returns true if all serializable variables of this JaObject and those of the specified one are equal.
isCopy(JaObject) - Method in class jhplot.jadraw.JaFLoop
Returns true if all serializable variables of this JaObject and those of the specified one are equal.
isCopy(JaObject) - Method in class jhplot.jadraw.JaGArc
Returns true if all serializable variables of this JaObject and those of the specified one are equal.
isCopy(JaObject) - Method in class jhplot.jadraw.JaGlArc
Returns true if all serializable variables of this JaObject and those of the specified one are equal.
isCopy(JaObject) - Method in class jhplot.jadraw.JaGLine
Returns true if all serializable variables of this JaObject and those of the specified one are equal.
isCopy(JaObject) - Method in class jhplot.jadraw.JaGlLine
Returns true if all serializable variables of this JaObject and those of the specified one are equal.
isCopy(JaObject) - Method in class jhplot.jadraw.JaGlLoop
Returns true if all serializable variables of this JaObject and those of the specified one are equal.
isCopy(JaObject) - Method in class jhplot.jadraw.JaGLoop
Returns true if all serializable variables of this JaLoopObject and those of the specified one are equal.
isCopy(JaObject) - Method in class jhplot.jadraw.JaKey
Returns true if all serializable variables of this JaObject and those of the specified one are equal.
isCopy(JaObject) - Method in class jhplot.jadraw.JaLatexText
Returns true if all serializable variables of this JaObject and those of the specified one are equal.
isCopy(JaObject) - Method in class jhplot.jadraw.JaLine
Returns true if all serializable variables of this JaObject and those of the specified one are equal.
isCopy(JaObject) - Method in class jhplot.jadraw.JaLoopObject
Returns true if all serializable variables of this JaLoopObject and those of the specified one are equal.
isCopy(JaObject) - Method in class jhplot.jadraw.JaObject
Determines if this JaObject is a copy of the specified one.
isCopy(JaObject) - Method in class jhplot.jadraw.JaPArc
Returns true if all serializable variables of this JaObject and those of the specified one are equal.
isCopy(JaObject) - Method in class jhplot.jadraw.JaPLine
Returns true if all serializable variables of this JaObject and those of the specified one are equal.
isCopy(JaObject) - Method in class jhplot.jadraw.JaPLoop
Returns true if all serializable variables of this JaLoopObject and those of the specified one are equal.
isCopy(JaObject) - Method in class jhplot.jadraw.JaSArc
Returns true if all serializable variables of this JaObject and those of the specified one are equal.
isCopy(JaObject) - Method in class jhplot.jadraw.JaSLine
Returns true if all serializable variables of this JaObject and those of the specified one are equal.
isCopy(JaObject) - Method in class jhplot.jadraw.JaSLoop
Returns true if all serializable variables of this JaLoopObject and those of the specified one are equal.
isCopy(JaObject) - Method in class jhplot.jadraw.JaText
Returns true if all serializable variables of this JaObject and those of the specified one are equal.
isCopy(JaObject) - Method in class jhplot.jadraw.JaTextBox
Returns true if all serializable variables of this JaObject and those of the specified one are equal.
isCopy(JaObject) - Method in class jhplot.jadraw.JaVertex
Returns true if all serializable variables of this JaObject and those of the specified one are equal.
isCopy(JaObject) - Method in class jhplot.jadraw.JaVertexT1
Returns true if all serializable variables of this JaObject and those of the specified one are equal.
isCopy(JaObject) - Method in class jhplot.jadraw.JaVertexT2
Returns true if all serializable variables of this JaObject and those of the specified one are equal.
isCopy(JaObject) - Method in class jhplot.jadraw.JaVertexT3
Returns true if all serializable variables of this JaObject and those of the specified one are equal.
isCopy(JaObject) - Method in class jhplot.jadraw.JaVertexT4
Returns true if all serializable variables of this JaObject and those of the specified one are equal.
isCopy(JaObject) - Method in class jhplot.jadraw.JaVertexT5
Returns true if all serializable variables of this JaObject and those of the specified one are equal.
isCopy(JaObject) - Method in class jhplot.jadraw.JaVertexT6
Returns true if all serializable variables of this JaObject and those of the specified one are equal.
isCopy(JaObject) - Method in class jhplot.jadraw.JaZigZagLine
Returns true if all serializable variables of this JaObject and those of the specified one are equal.
isDefaultPosition() - Method in class jhplot.HKey
Is this key should be set at a default position?
isEmpty() - Method in class org.apache.commons.math.ode.events.CombinedEventsManager
Deprecated. Check if the manager does not manage any event handlers.
isEnd() - Method in class jhplot.jadraw.JaArcObject
Determines whether the end property of this line object is set or not.
isEnd() - Method in class jhplot.jadraw.JaLineObject
Determines whether the end property of this line object is set or not.
isEqual(IFunction) - Method in class hep.aida.ref.fitter.InternalFitFunction
 
isEqual(IFunction) - Method in class hep.aida.ref.function.AbstractDevModelFunction
 
isEqual(IFunction) - Method in class hep.aida.ref.function.AbstractIFunction
 
isEqual(IFunction) - Method in class hep.aida.ref.function.BaseModelFunction
 
isEqual(IFunction) - Method in class hep.aida.ref.function.SumOfFunctions
 
isEvaluated() - Method in class jhplot.FND
Is the function was evaluated?
isExists(String) - Method in class jhplot.io.HDataBase
Checks if there is a record belonging to the given key.
isFillable() - Method in class hep.aida.ref.Annotation
 
isFillable() - Method in class hep.aida.ref.ManagedObject
 
isFilled() - Method in class jhplot.FPR
Is area filled or not
isFilled() - Method in class jhplot.jadraw.JaBlob
Get the filled style
isFilled() - Method in class jhplot.jadraw.JaBox
Get the filled style
isFixed() - Method in class hep.aida.ref.fitter.FitParameterSettings
 
isFixedBinning() - Method in class hep.aida.ref.histogram.FixedAxis
 
isFixedBinning() - Method in class hep.aida.ref.histogram.VariableAxis
 
isFixedBinning() - Method in class jhplot.H1D
Return true if bins have constant bin width
isFixedBinning() - Method in class jhplot.HProf1D
Return true if bins have constant bin width
isFlip() - Method in class jhplot.jadraw.JaArcObject
Determines whether the flip property of this arc object is set or not.
isFlip() - Method in class jhplot.jadraw.JaLineObject
Determines whether the flip property of this line object is set or not.
isFlip() - Method in class jhplot.jadraw.JaLoopObject
Determines whether the flip property of this loop object is set or not.
isForward() - Method in interface org.apache.commons.math.ode.jacobians.StepInterpolatorWithJacobians
Deprecated. Check if the natural integration direction is forward.
isForward() - Method in class org.apache.commons.math.ode.sampling.AbstractStepInterpolator
Check if the natural integration direction is forward.
isForward() - Method in interface org.apache.commons.math.ode.sampling.StepInterpolator
Check if the natural integration direction is forward.
isFullRank() - Method in class jhplot.math.QRDecomposition
Is the matrix full rank?
isGridFront() - Method in class jhplot.jadraw.JaAxes
is grid should be shown in front of all drawn objects?
isGridToFront() - Method in class jhplot.HPlot
Flag, saying whether the grid should be drawn at the foreground or not.
isIgnored() - Method in class org.apache.commons.math.estimation.WeightedMeasurement
Deprecated. Check if this measurement should be ignored
isInfinite() - Method in class org.apache.commons.math.complex.Complex
Returns true if either the real or imaginary part of this complex number takes an infinite value (either Double.POSITIVE_INFINITY or Double.NEGATIVE_INFINITY) and neither part is NaN.
isInfinite() - Method in class org.apache.commons.math.dfp.Dfp
Check if instance is infinite.
isInfinite() - Method in class org.apache.commons.math.geometry.Vector3D
Returns true if any coordinate of this vector is infinite and none are NaN; false otherwise
isInfinite() - Method in class org.apache.commons.math.linear.ArrayRealVector
Returns true if any coordinate of this vector is infinite and none are NaN; false otherwise
isInfinite() - Method in class org.apache.commons.math.linear.OpenMapRealVector
Check whether any coordinate of this vector is infinite and none are NaN.
isInfinite() - Method in interface org.apache.commons.math.linear.RealVector
Check whether any coordinate of this vector is infinite and none are NaN.
isInflip() - Method in class jhplot.jadraw.JaLineObject
Determines whether the inflip property of this line object is set or not.
isInMemory() - Method in class hep.aida.ref.tuple.AbstractTuple
 
isInMemory() - Method in class hep.aida.ref.tuple.ChainedTuple
 
isInMemory() - Method in interface hep.aida.ref.tuple.FTuple
 
isInMemory() - Method in class hep.aida.ref.tuple.FTupleAdapter
 
isInMemory() - Method in class hep.aida.ref.tuple.Tuple
 
isInRange(double) - Method in class hep.aida.ref.function.Range
Check if a value is within the IRange.
isInRange(double) - Method in class hep.aida.ref.function.RangeSet
 
isLength(double[], int) - Static method in class jhplot.math.DoubleArray
Same as checkLength but returns a boolean value rather than throwing an exception.
isLightlike(double) - Method in class hephysics.vec.HepLorentzVector
is spacelike?
isLoaded() - Method in interface org.apache.commons.math.random.EmpiricalDistribution
Property indicating whether or not the distribution has been loaded.
isLoaded() - Method in class org.apache.commons.math.random.EmpiricalDistributionImpl
Property indicating whether or not the distribution has been loaded.
isLogScale(int) - Method in class jhplot.jadraw.JaAxes
 
isMarked() - Method in class jhplot.jadraw.JaObject
Determines whether this JaObject is marked as an element of a group or not.
isMeanAndRmsSet() - Method in class hep.aida.ref.histogram.Histogram
 
isMirrorAxisShown(int) - Method in class jhplot.HPlot
Returns whether the mirror of an axis will be drawn or not.
isMultiline() - Method in class jhplot.jadraw.JaTextBox
Is this multiline text?
isNaN() - Method in class org.apache.commons.math.complex.Complex
Returns true if either or both parts of this complex number is NaN; false otherwise
isNaN() - Method in class org.apache.commons.math.dfp.Dfp
Check if instance is not a number.
isNaN() - Method in class org.apache.commons.math.geometry.Vector3D
Returns true if any coordinate of this vector is NaN; false otherwise
isNaN() - Method in class org.apache.commons.math.linear.ArrayRealVector
Returns true if any coordinate of this vector is NaN; false otherwise
isNaN() - Method in class org.apache.commons.math.linear.OpenMapRealVector
Check whether any coordinate of this vector is NaN.
isNaN() - Method in interface org.apache.commons.math.linear.RealVector
Check whether any coordinate of this vector is NaN.
isNoIntercept() - Method in class org.apache.commons.math.stat.regression.AbstractMultipleLinearRegression
 
isNonsingular() - Method in class jhplot.math.LUDecomposition
Is the matrix nonsingular?
isNonSingular() - Method in interface org.apache.commons.math.linear.DecompositionSolver
Check if the decomposed matrix is non-singular.
isNonSingular() - Method in interface org.apache.commons.math.linear.FieldDecompositionSolver
Check if the decomposed matrix is non-singular.
isNormalized() - Method in class hep.aida.ref.function.AbstractDevModelFunction
 
isNormalized() - Method in class hep.aida.ref.function.AbstractIFunction
 
isNormalized() - Method in class hep.aida.ref.function.BaseModelFunction
 
IsObservable - Interface in hep.aida.ref.event
An interface to be implemented by AIDA objects that can notify observers of change to their state.
isParsed() - Method in class jhplot.F1D
If the function is parsed correctly, return true.
isParsed() - Method in class jhplot.F2D
If the function is parsed correctly, return true.
isPathInDir(String, String) - Static method in class hep.aida.ref.AidaUtils
 
isPowerOf2(long) - Static method in class org.apache.commons.math.transform.FastFourierTransformer
Returns true if the argument is power of 2.
isPrimitivesToFront() - Method in class jhplot.HPlot
Flag, saying whether primitives should be drawn at the foreground or not.
isReadOnly() - Method in class hep.aida.ref.tree.Tree
 
isResizing() - Method in class jhplot.jadraw.JaArcObject
Returns the resizing property of this arc.
isRolledOver(int, int) - Method in class jhplot.jadraw.JaLatexText
Determines whether the curser is currently above the visual aid icon of this LatexText.
isRowDimension(double[][], int) - Static method in class jhplot.math.DoubleArray
Same as checkRowDimension() but just returns a boolean value rather than throwing an exception.
isSatisfied(Population) - Method in class org.apache.commons.math.genetics.FixedGenerationCount
Determine whether or not the given number of generations have passed.
isSatisfied(Population) - Method in interface org.apache.commons.math.genetics.StoppingCondition
Determine whether or not the given population satisfies the stopping condition.
isShadow() - Method in class jhplot.jadraw.JaTextBox
Is box with shadow?
isShow(int) - Method in class jhplot.jadraw.JaAxes
Is a particular axis should be shown?
isShowGrid(int) - Method in class jhplot.jadraw.JaAxes
Is grid to be shown?
isShowKey() - Method in class jhplot.jadraw.JaAxes
is key should be shown?
isShowMirror(int) - Method in class jhplot.jadraw.JaAxes
Is axis mirror is shown?
isShowStatBox() - Method in class jhplot.HPlotJa
Is stat box is shown on the current pad?
isSingular() - Method in class org.apache.commons.math.linear.AbstractRealMatrix
Deprecated. 
isSingular() - Method in class org.apache.commons.math.linear.BigMatrixImpl
Deprecated. Is this a singular matrix?
isSingular() - Method in interface org.apache.commons.math.linear.RealMatrix
Deprecated. as of release 2.0, replaced by the boolean negation of new LUDecompositionImpl(m).getSolver().isNonSingular()
isSpacelike() - Method in class hephysics.vec.HepLorentzVector
Is particle spacelike (i.e restMass2() smaller than 0)
isSPD() - Method in class jhplot.math.CholeskyDecomposition
Is the matrix symmetric and positive definite?
isSquare(double[][]) - Static method in class jhplot.math.ArrayMathUtils
 
isSquare(float[][]) - Static method in class jhplot.math.ArrayMathUtils
 
isSquare(long[][]) - Static method in class jhplot.math.ArrayMathUtils
 
isSquare(int[][]) - Static method in class jhplot.math.ArrayMathUtils
 
isSquare(Object[][]) - Static method in class jhplot.math.ArrayMathUtils
 
isSquare() - Method in class org.apache.commons.math.linear.AbstractFieldMatrix
Is this a square matrix?
isSquare() - Method in class org.apache.commons.math.linear.AbstractRealMatrix
Is this a square matrix?
isSquare() - Method in interface org.apache.commons.math.linear.AnyMatrix
Is this a square matrix?
isSquare() - Method in class org.apache.commons.math.linear.BigMatrixImpl
Deprecated. Is this a square matrix?
isSticky(String) - Method in class hep.aida.ref.Annotation
Get the stickyness for a given key.
isSticky(int) - Method in class hep.aida.ref.Annotation
Get the stickyness corresponding to the item in a give position in the Annotation.
isSupportLowerBoundInclusive() - Method in class org.apache.commons.math.distribution.AbstractIntegerDistribution
Use this method to get information about whether the lower bound of the support is inclusive or not.
isSupportUpperBoundInclusive() - Method in class org.apache.commons.math.distribution.AbstractIntegerDistribution
Use this method to get information about whether the upper bound of the support is inclusive or not.
isSurface() - Method in class jhplot.HPlot3D
Is the plot will be shown as a surface?
isSymm() - Method in class jhplot.jadraw.JaLineObject
Determines whether the symm property of this line object is set or not.
isTicksLabels(int) - Method in class jhplot.jadraw.JaAxes
Is ticks should be drawn
isTicLabelsShown(int) - Method in class jhplot.HPlot
Returns whether or not to draw the tick labels
isTicsShown(int) - Method in class jhplot.HPlot
Returns whether or not to draw ticks (little lines on the axes).
isUser() - Method in class jhplot.jadraw.JaObject
Set to true if coordinates were set using USER coordinate system attached to axes
isValid() - Method in class hep.aida.ref.fitter.FitResult
 
isValid() - Method in class hep.aida.ref.function.Grid
 
isValidDouble(double) - Static method in class hep.aida.ref.histogram.binner.BinnerMath
 
isValidDouble(double) - Static method in class hep.aida.ref.histogram.HistUtils
 
iterate(IterativeMethod.IterativeState) - Method in class jhplot.math.num.IterativeMethod
Perform the iterative evaluation.
iterate() - Method in interface jhplot.math.num.IterativeMethod.IterativeState
Perform the next iteration of the iterative evaluation.
IterativeMethod - Class in jhplot.math.num
A method to solve generic problems by finding successive (and hopefully better) approximations to the solution.
IterativeMethod.IterativeState - Interface in jhplot.math.num
The current state for an iterative method.
iterator() - Method in class org.apache.commons.math.genetics.ListPopulation
Chromosome list iterator
iterator() - Method in class org.apache.commons.math.linear.AbstractRealVector
Generic dense iterator.
iterator() - Method in interface org.apache.commons.math.linear.RealVector
Generic dense iterator.
iterator() - Method in class org.apache.commons.math.util.MultidimensionalCounter
Create an iterator over this counter.
iterator() - Method in class org.apache.commons.math.util.OpenIntToDoubleHashMap
Get an iterator over map elements.
iterator() - Method in class org.apache.commons.math.util.OpenIntToFieldHashMap
Get an iterator over map elements.
IView - Class in jhplot
Simple image viewer for PNG, JPG, GIF files
IView() - Constructor for class jhplot.IView
Show an empty image viewer.
IView(String) - Constructor for class jhplot.IView
Show image or images

J

JaArcObject - Class in jhplot.jadraw
The mother of all arc objects.
JaArcObject() - Constructor for class jhplot.jadraw.JaArcObject
Constructor: sets the width, height, relative width and height, to a default value of JaObject.INIT_SIZE.
JaAxes - Class in jhplot.jadraw
Main class to build a pad with axes, ticks, labels.
JaAxes(int, int) - Constructor for class jhplot.jadraw.JaAxes
Constructor: sets the width, height, getRelw() and getRelh() to a default value of 25.
JaBlob - Class in jhplot.jadraw
A blob object: a general ellypse that can be rotated.
JaBlob() - Constructor for class jhplot.jadraw.JaBlob
Constructor: sets the width, height, getRelw() and getRelh() to a default value of 25.
JaBox - Class in jhplot.jadraw
A box object.
JaBox() - Constructor for class jhplot.jadraw.JaBox
Constructor: sets the width, height, getRelw() and getRelh() to a default value of 25.
JaBox(double, double, double, double, String) - Constructor for class jhplot.jadraw.JaBox
Build a box.
jacobian() - Method in interface org.apache.commons.math.analysis.DifferentiableMultivariateVectorialFunction
Returns the jacobian function.
JaFArc - Class in jhplot.jadraw
A fermion arc.
JaFArc() - Constructor for class jhplot.jadraw.JaFArc
Constructor: just calls super().
JaFillObject - Class in jhplot.jadraw
A general object that can be filled.
JaFillObject() - Constructor for class jhplot.jadraw.JaFillObject
 
JaFLine - Class in jhplot.jadraw
A fermion line.
JaFLine() - Constructor for class jhplot.jadraw.JaFLine
Constructor: calls super() and initializes inflip to false.
JaFLoop - Class in jhplot.jadraw
A fermion loop.
JaFLoop() - Constructor for class jhplot.jadraw.JaFLoop
Constructor: just calls super().
JaGArc - Class in jhplot.jadraw
A ghost arc.
JaGArc() - Constructor for class jhplot.jadraw.JaGArc
Constructor: just calls super().
JaGlArc - Class in jhplot.jadraw
A gluon arc.
JaGlArc() - Constructor for class jhplot.jadraw.JaGlArc
Constructor: calls super() and initializes the stangle to 0.
JaGLine - Class in jhplot.jadraw
A ghost line.
JaGLine() - Constructor for class jhplot.jadraw.JaGLine
Constructor: calls super() and initializes inflip to false.
JaGlLine - Class in jhplot.jadraw
Class to build a gluon line
JaGlLine() - Constructor for class jhplot.jadraw.JaGlLine
Constructor: just calls super().
JaGlLoop - Class in jhplot.jadraw
Gluon loop
JaGlLoop() - Constructor for class jhplot.jadraw.JaGlLoop
Constructor: just calls super().
JaGLoop - Class in jhplot.jadraw
A ghost loop.
JaGLoop() - Constructor for class jhplot.jadraw.JaGLoop
Constructor: just calls super().
JaKey - Class in jhplot.jadraw
Defines a key with the text
JaKey() - Constructor for class jhplot.jadraw.JaKey
Constructor: sets the width, height, relative width and height to a default value of 2.
JaKey(int, String, double, double, String) - Constructor for class jhplot.jadraw.JaKey
Build a line
JaLatexText - Class in jhplot.jadraw
Defines a JaObject which is just a string.
JaLatexText() - Constructor for class jhplot.jadraw.JaLatexText
Constructor: sets the width, height, relative width and height to a default value of 3.
JaLine - Class in jhplot.jadraw
Build a simple line
JaLine(double, double, double, double, String) - Constructor for class jhplot.jadraw.JaLine
Build a line
JaLine() - Constructor for class jhplot.jadraw.JaLine
Constructor: calls super() and initializes inflip to false.
JaLineObject - Class in jhplot.jadraw
A general line object.
JaLineObject() - Constructor for class jhplot.jadraw.JaLineObject
Constructor: sets the width, height, relative width and height, to a default value of JaObject.INIT_SIZE.
JaLoopObject - Class in jhplot.jadraw
A general loop object.
JaLoopObject() - Constructor for class jhplot.jadraw.JaLoopObject
Constructor: sets the width, height, relative width and height, to a default value of JaObject.INIT_SIZE.
JaObject - Class in jhplot.jadraw
A general JaObject.
JaObject() - Constructor for class jhplot.jadraw.JaObject
 
JaPArc - Class in jhplot.jadraw
A photon arc.
JaPArc() - Constructor for class jhplot.jadraw.JaPArc
Constructor: calls super() and initializes the stangle to 0.
JaPLine - Class in jhplot.jadraw
A photon line.
JaPLine() - Constructor for class jhplot.jadraw.JaPLine
Constructor: just calls super().
JaPLoop - Class in jhplot.jadraw
A photon loop.
JaPLoop() - Constructor for class jhplot.jadraw.JaPLoop
Constructor: just calls super().
JaSArc - Class in jhplot.jadraw
A scalar arc.
JaSArc() - Constructor for class jhplot.jadraw.JaSArc
Constructor: just calls super().
JaSLine - Class in jhplot.jadraw
A scalar line.
JaSLine() - Constructor for class jhplot.jadraw.JaSLine
Constructor: calls super() and initializes inflip to false.
JaSLoop - Class in jhplot.jadraw
A scalar loop.
JaSLoop() - Constructor for class jhplot.jadraw.JaSLoop
Constructor: just calls super().
JaText - Class in jhplot.jadraw
Defines a JaObject which is a postscript text.
JaText() - Constructor for class jhplot.jadraw.JaText
Constructor: sets the width, height, relative width and height to a default value of 2.
JaText(String, double, double, String) - Constructor for class jhplot.jadraw.JaText
Build a text label
JaTextBox - Class in jhplot.jadraw
Text label which can be either one text line or multiline.
JaTextBox() - Constructor for class jhplot.jadraw.JaTextBox
Constructor: sets the width, height, getRelw() and getRelh() to a default value of 25.
JAVA_CLASSPATH - Static variable in class jhplot.HPlotJa
The current Java class path.
JAVA_HOME - Static variable in class jhplot.HPlotJa
The directory where Java is installed on the current machine.
JAVA_RUNTIME_VERSION - Static variable in class jhplot.HPlotJa
The current Java runtime version.
JAVA_VERSION - Static variable in class jhplot.HPlotJa
The current Java version.
JaVertex - Class in jhplot.jadraw
A vertex object.
JaVertex() - Constructor for class jhplot.jadraw.JaVertex
Constructor: sets the width, height, relative width and height, and stroke to a default value of 2.
JaVertexT1 - Class in jhplot.jadraw
A vertex (a filled circle).
JaVertexT1() - Constructor for class jhplot.jadraw.JaVertexT1
Constructor: just calls super().
JaVertexT2 - Class in jhplot.jadraw
A vertex type 2 object (a cross with a circle).
JaVertexT2() - Constructor for class jhplot.jadraw.JaVertexT2
Constructor: sets the width, height, relative width and height to a default value of 3 and initializes the firsttime variable to true.
JaVertexT3 - Class in jhplot.jadraw
A vertex (a filled square).
JaVertexT3() - Constructor for class jhplot.jadraw.JaVertexT3
Constructor: just calls super().
JaVertexT4 - Class in jhplot.jadraw
A vertex (a cross).
JaVertexT4() - Constructor for class jhplot.jadraw.JaVertexT4
Constructor: sets the width, height, relative width and height to a default value of 3 and initializes the firsttime variable to true.
JaVertexT5 - Class in jhplot.jadraw
A vertex (a triangle).
JaVertexT5() - Constructor for class jhplot.jadraw.JaVertexT5
Constructor: sets the width, height, relative width and height to a default value of 5 .
JaVertexT6 - Class in jhplot.jadraw
A vertex (a filled diamond).
JaVertexT6() - Constructor for class jhplot.jadraw.JaVertexT6
Constructor: just calls super().
jaxoDraw(VectorGraphics, boolean) - Method in class jhplot.jadraw.JaAxes
The method that draws this Jaxo Axes.
jaxoDraw(VectorGraphics, boolean) - Method in class jhplot.jadraw.JaBlob
The method that draws this JaBlob.
jaxoDraw(VectorGraphics, boolean) - Method in class jhplot.jadraw.JaBox
The method that draws this Label.
jaxoDraw(VectorGraphics, boolean) - Method in class jhplot.jadraw.JaFArc
The method that draws this JaFArc.
jaxoDraw(VectorGraphics, boolean) - Method in class jhplot.jadraw.JaFLine
The method that draws this JaFLine.
jaxoDraw(VectorGraphics, boolean) - Method in class jhplot.jadraw.JaFLoop
The method that draws this JaFLoop.
jaxoDraw(VectorGraphics, boolean) - Method in class jhplot.jadraw.JaGArc
The method that draws this JaGArc.
jaxoDraw(VectorGraphics, boolean) - Method in class jhplot.jadraw.JaGlArc
The method that draws this JaGlArc.
jaxoDraw(VectorGraphics, boolean) - Method in class jhplot.jadraw.JaGLine
The method that draws this JaGLine.
jaxoDraw(VectorGraphics, boolean) - Method in class jhplot.jadraw.JaGlLine
The method that draws this JaGlLine.
jaxoDraw(VectorGraphics, boolean) - Method in class jhplot.jadraw.JaGlLoop
The method that draws this JaGlLoop.
jaxoDraw(VectorGraphics, boolean) - Method in class jhplot.jadraw.JaGLoop
The method that draws this JaGLoop.
jaxoDraw(VectorGraphics, boolean) - Method in class jhplot.jadraw.JaKey
The method that draws this label.
jaxoDraw(VectorGraphics, boolean) - Method in class jhplot.jadraw.JaLatexText
The method that draws this JaxoText.
jaxoDraw(VectorGraphics, boolean) - Method in class jhplot.jadraw.JaLine
The method that draws this JaFLine.
jaxoDraw(VectorGraphics, boolean) - Method in class jhplot.jadraw.JaObject
The method that draws the JaObject.
jaxoDraw(VectorGraphics, boolean) - Method in class jhplot.jadraw.JaPArc
The method that draws this JaPArc.
jaxoDraw(VectorGraphics, boolean) - Method in class jhplot.jadraw.JaPLine
The method that draws this JaPLine.
jaxoDraw(VectorGraphics, boolean) - Method in class jhplot.jadraw.JaPLoop
The method that draws this JaPLoop.
jaxoDraw(VectorGraphics, boolean) - Method in class jhplot.jadraw.JaSArc
The method that draws this JaSArc.
jaxoDraw(VectorGraphics, boolean) - Method in class jhplot.jadraw.JaSLine
The method that draws this JaSLine.
jaxoDraw(VectorGraphics, boolean) - Method in class jhplot.jadraw.JaSLoop
The method that draws this JaSLoop.
jaxoDraw(VectorGraphics, boolean) - Method in class jhplot.jadraw.JaText
The method that draws this label.
jaxoDraw(VectorGraphics, boolean) - Method in class jhplot.jadraw.JaTextBox
The method that draws this Label.
jaxoDraw(VectorGraphics, boolean) - Method in class jhplot.jadraw.JaVertex
The method that draws the JaObject.
jaxoDraw(VectorGraphics, boolean) - Method in class jhplot.jadraw.JaVertexT1
The method that draws this JaVertexT1.
jaxoDraw(VectorGraphics, boolean) - Method in class jhplot.jadraw.JaVertexT2
The method that draws this JaVertexT2.
jaxoDraw(VectorGraphics, boolean) - Method in class jhplot.jadraw.JaVertexT3
The method that draws this JaVertexT3.
jaxoDraw(VectorGraphics, boolean) - Method in class jhplot.jadraw.JaVertexT4
The method that draws this JaVertexT4.
jaxoDraw(VectorGraphics, boolean) - Method in class jhplot.jadraw.JaVertexT5
The method that draws this JaVertexT5.
jaxoDraw(VectorGraphics, boolean) - Method in class jhplot.jadraw.JaVertexT6
The method that draws this JaVertexT6.
jaxoDraw(VectorGraphics, boolean) - Method in class jhplot.jadraw.JaZigZagLine
The method that draws this JaZigZagLine.
JaZigZagLine - Class in jhplot.jadraw
A zig-zag line.
JaZigZagLine() - Constructor for class jhplot.jadraw.JaZigZagLine
Constructor: just calls super().
JDKRandomGenerator - Class in org.apache.commons.math.random
Extension of java.util.Random to implement RandomGenerator.
JDKRandomGenerator() - Constructor for class org.apache.commons.math.random.JDKRandomGenerator
 
JELBaseModelFunction - Class in hep.aida.ref.function
 
JELBaseModelFunction(String, int, String, String, String, String) - Constructor for class hep.aida.ref.function.JELBaseModelFunction
 
JELCompiledExpression - Class in hep.aida.ref.function
 
JELCompiledExpression(int, int, String, String[]) - Constructor for class hep.aida.ref.function.JELCompiledExpression
 
JELCompiledExpression.Resolver - Class in hep.aida.ref.function
 
JELCompiledExpression.Resolver() - Constructor for class hep.aida.ref.function.JELCompiledExpression.Resolver
 
JELCompiledExpression.ValueProvider - Class in hep.aida.ref.function
 
JELCompiledExpression.ValueProvider(int, int) - Constructor for class hep.aida.ref.function.JELCompiledExpression.ValueProvider
 
JELFunctionCore - Class in hep.aida.ref.function
 
JELFunctionCore(int, int, String, String[], String[]) - Constructor for class hep.aida.ref.function.JELFunctionCore
 
JELTupleProvider - Class in hep.aida.ref.tuple
Serves as a Resolver and ValueProvider for JEL-based Evaluator and Filter
JELTupleProvider(ITuple) - Constructor for class hep.aida.ref.tuple.JELTupleProvider
 
jhplot - package jhplot
Main jHepWork numerical and graphical package
JHPlot - Class in jhplot
Show information about jHplot.
JHPlot() - Constructor for class jhplot.JHPlot
 
jhplot.bsom - package jhplot.bsom
Bayesian Self-Organizing Maps
jhplot.fit - package jhplot.fit
Predefined fit functions for the fit panel (HFit).
jhplot.io - package jhplot.io
jHPlot IO classes
jhplot.io.csv - package jhplot.io.csv
A very simple CSV parser for Java released under a commercial-friendly license.
jhplot.io.csv.bean - package jhplot.io.csv.bean
A simple bean binding interface for use with opencsv.
jhplot.io.sqlite - package jhplot.io.sqlite
SQLite3 database support
jhplot.jadraw - package jhplot.jadraw
Main JaPlot classes for plots and diagrams
jhplot.math - package jhplot.math
Math calculations and random numbers.
jhplot.math.io - package jhplot.math.io
IO package for math (based on jmathtools).
jhplot.math.num - package jhplot.math.num
Common classes used throughout numerics4j.
jhplot.math.num.integration - package jhplot.math.num.integration
Function interfaces.
jhplot.math.num.pdf - package jhplot.math.num.pdf
Statistical distributions.
jhplot.math.num.random - package jhplot.math.num.random
Random number generators and random variable generators.
jhplot.math.num.root - package jhplot.math.num.root
Function interfaces.
jhplot.math.num.special - package jhplot.math.num.special
Elementary functions not provided by the Java™.
jhplot.root - package jhplot.root
Access to ROOT files (based on Tony Johnson's RootHistogramBrowser).
jhplot.security - package jhplot.security
MD5 hash for objects or data files
jhplot.shapes - package jhplot.shapes
jHepWork package to draw java 2D primitives
jhplot.stat - package jhplot.stat
Statistical calculations: fluctuations, linear regression etc.
jhplot.utils - package jhplot.utils
Useful classes for verious manipulations and integration with jHepWork
jhplot.v3d - package jhplot.v3d
Main jHepWork 3D geometry package.
JHPLOT_HTTP - Static variable in class jhplot.HelpBrowser
 
jhpro.stat - package jhpro.stat
 
jhpro.stat.limit - package jhpro.stat.limit
 
jhpro.test - package jhpro.test
 
JHreader - Class in jhplot.io
A class to read XML file and build jHPlot graphics.
JHreader() - Constructor for class jhplot.io.JHreader
 
JHwriter - Class in jhplot.io
A class to write graphics in XML file.
JHwriter() - Constructor for class jhplot.io.JHwriter
 
jminhep.cluster - package jminhep.cluster
jHepWork package for a cluster analysis.

K

key(int) - Method in class hep.aida.ref.Annotation
Get the key corresponding to the item in a given position in the Annotation.
Key - Static variable in class jhplot.HPlotJa
 
Key(int, String, float, float) - Static method in class jhplot.jadraw.Diagram
Get a text with key symbol
key() - Method in class org.apache.commons.math.util.OpenIntToDoubleHashMap.Iterator
Get the key of current entry.
key() - Method in class org.apache.commons.math.util.OpenIntToFieldHashMap.Iterator
Get the key of current entry.
KMeansPlusPlusClusterer<T extends Clusterable<T>> - Class in org.apache.commons.math.stat.clustering
Clustering algorithm based on David Arthur and Sergei Vassilvitski k-means++ algorithm.
KMeansPlusPlusClusterer(Random) - Constructor for class org.apache.commons.math.stat.clustering.KMeansPlusPlusClusterer
Build a clusterer.
KMeansPlusPlusClusterer(Random, KMeansPlusPlusClusterer.EmptyClusterStrategy) - Constructor for class org.apache.commons.math.stat.clustering.KMeansPlusPlusClusterer
Build a clusterer.
KMeansPlusPlusClusterer.EmptyClusterStrategy - Enum in org.apache.commons.math.stat.clustering
Strategies to use for replacing an empty cluster.
KolmogorovSmirnovDist - Class in jhplot.math
This class computes both the cumulative probability P[D_n <= x] and the complementary cumulative probability P[D_n >= x] of the 2-sided 1-sample Kolmogorov-Smirnov distribution.
KolmogorovSmirnovDist() - Constructor for class jhplot.math.KolmogorovSmirnovDist
 
kurtosis() - Method in class jhplot.P0D
Returns the kurtosis.
kurtosis() - Method in class jhplot.P0I
Returns the kurtosis.
Kurtosis - Class in org.apache.commons.math.stat.descriptive.moment
Computes the Kurtosis of the available values.
Kurtosis() - Constructor for class org.apache.commons.math.stat.descriptive.moment.Kurtosis
Construct a Kurtosis
Kurtosis(FourthMoment) - Constructor for class org.apache.commons.math.stat.descriptive.moment.Kurtosis
Construct a Kurtosis from an external moment
Kurtosis(Kurtosis) - Constructor for class org.apache.commons.math.stat.descriptive.moment.Kurtosis
Copy constructor, creates a new Kurtosis identical to the original

L

LabelX - Static variable in class jhplot.HPlotJa
 
LabelY - Static variable in class jhplot.HPlotJa
 
LaguerreSolver - Class in org.apache.commons.math.analysis.solvers
Implements the Laguerre's Method for root finding of real coefficient polynomials.
LaguerreSolver(UnivariateRealFunction) - Constructor for class org.apache.commons.math.analysis.solvers.LaguerreSolver
Deprecated. as of 2.0 the function to solve is passed as an argument to the LaguerreSolver.solve(UnivariateRealFunction, double, double) or UnivariateRealSolver.solve(UnivariateRealFunction, double, double, double) method.
LaguerreSolver() - Constructor for class org.apache.commons.math.analysis.solvers.LaguerreSolver
Deprecated. in 2.2 (to be removed in 3.0)
Landau - Class in jhplot.fit
The function represents the Landau distribution.
Landau() - Constructor for class jhplot.fit.Landau
 
Landau(String) - Constructor for class jhplot.fit.Landau
 
Landau(String[], String[]) - Constructor for class jhplot.fit.Landau
 
Laplace - Class in jhplot.math.num.pdf
The Laplace distribution.
Laplace() - Constructor for class jhplot.math.num.pdf.Laplace
Default constructor.
Laplace(double, double) - Constructor for class jhplot.math.num.pdf.Laplace
Create a distribution with the given mean and scale.
LaplaceRandomVariable - Class in jhplot.math.num.random
A random variable generator for the Laplace distribution.
LaplaceRandomVariable() - Constructor for class jhplot.math.num.random.LaplaceRandomVariable
Default constructor.
LaplaceRandomVariable(double, double) - Constructor for class jhplot.math.num.random.LaplaceRandomVariable
Create a random variable with the given mean and scale.
LaplaceRandomVariable(double, double, RNG) - Constructor for class jhplot.math.num.random.LaplaceRandomVariable
Create a random variable with the given parameters.
latexCommand(float, Dimension) - Method in class jhplot.jadraw.JaAxes
The LaTeX command that is necessary to draw the given JaAxes using the axodraw.sty package.
latexCommand(float, Dimension) - Method in class jhplot.jadraw.JaBlob
The LaTeX command that is necessary to draw the given JaBlob using the axodraw.sty package.
latexCommand(float, Dimension) - Method in class jhplot.jadraw.JaBox
The LaTeX command that is necessary to draw the given Label using the axodraw.sty package.
latexCommand(float, Dimension) - Method in class jhplot.jadraw.JaFArc
The LaTeX command that is necessary to draw this JaFArc using the axodraw.sty package.
latexCommand(float, Dimension) - Method in class jhplot.jadraw.JaFLine
The LaTeX command that is necessary to draw this JaFLine using the axodraw.sty package.
latexCommand(float, Dimension) - Method in class jhplot.jadraw.JaFLoop
The LaTeX command that is necessary to draw this JaFLoop using the axodraw.sty package.
latexCommand(float, Dimension) - Method in class jhplot.jadraw.JaGArc
The LaTeX command that is necessary to draw this JaGArc using the axodraw.sty package.
latexCommand(float, Dimension) - Method in class jhplot.jadraw.JaGlArc
The LaTeX command that is necessary to draw this JaGlArc using the axodraw.sty package.
latexCommand(float, Dimension) - Method in class jhplot.jadraw.JaGLine
The LaTeX command that is necessary to draw this JaGLine using the axodraw.sty package.
latexCommand(float, Dimension) - Method in class jhplot.jadraw.JaGlLine
The LaTeX command that is necessary to draw this JaGlLine using the axodraw.sty package.
latexCommand(float, Dimension) - Method in class jhplot.jadraw.JaGlLoop
The LaTeX command that is necessary to draw this JaGlLoop using the axodraw.sty package.
latexCommand(float, Dimension) - Method in class jhplot.jadraw.JaGLoop
The LaTeX command that is necessary to draw this JaGLoop using the axodraw.sty package.
latexCommand(float, Dimension) - Method in class jhplot.jadraw.JaKey
The LaTeX command that is necessary to draw the given label using the axodraw.sty package.
latexCommand(float, Dimension) - Method in class jhplot.jadraw.JaLatexText
The LaTeX command that is necessary to draw the given JaxoText using the axodraw.sty package.
latexCommand(float, Dimension) - Method in class jhplot.jadraw.JaLine
The LaTeX command that is necessary to draw this JaFLine using the axodraw.sty package.
latexCommand(float, Dimension) - Method in class jhplot.jadraw.JaObject
The LaTeX command that is necessary to draw the given JaObject using the axodraw.sty package.
latexCommand(float, Dimension) - Method in class jhplot.jadraw.JaPArc
The LaTeX command that is necessary to draw this JaPArc using the axodraw.sty package.
latexCommand(float, Dimension) - Method in class jhplot.jadraw.JaPLine
The LaTeX command that is necessary to draw this JaPLine using the axodraw.sty package.
latexCommand(float, Dimension) - Method in class jhplot.jadraw.JaPLoop
The LaTeX command that is necessary to draw this JaPLoop using the axodraw.sty package.
latexCommand(float, Dimension) - Method in class jhplot.jadraw.JaSArc
The LaTeX command that is necessary to draw this JaSArc using the axodraw.sty package.
latexCommand(float, Dimension) - Method in class jhplot.jadraw.JaSLine
The LaTeX command that is necessary to draw this JaSLine using the axodraw.sty package.
latexCommand(float, Dimension) - Method in class jhplot.jadraw.JaSLoop
The LaTeX command that is necessary to draw this JaSLoop using the axodraw.sty package.
latexCommand(float, Dimension) - Method in class jhplot.jadraw.JaText
The LaTeX command that is necessary to draw the given label using the axodraw.sty package.
latexCommand(float, Dimension) - Method in class jhplot.jadraw.JaTextBox
The LaTeX command that is necessary to draw the given Label using the axodraw.sty package.
latexCommand(float, Dimension) - Method in class jhplot.jadraw.JaVertex
The LaTeX command that is necessary to draw the given JaObject using the axodraw.sty package.
latexCommand(float, Dimension) - Method in class jhplot.jadraw.JaVertexT1
The LaTeX command that is necessary to draw the given JaVertexT1 using the axodraw.sty package.
latexCommand(float, Dimension) - Method in class jhplot.jadraw.JaVertexT2
The LaTeX command that is necessary to draw the given JaVertexT2 using the axodraw.sty package.
latexCommand(float, Dimension) - Method in class jhplot.jadraw.JaVertexT3
The LaTeX command that is necessary to draw the given JaVertexT3 using the axodraw.sty package.
latexCommand(float, Dimension) - Method in class jhplot.jadraw.JaVertexT4
The LaTeX command that is necessary to draw the given JaVertexT4 using the axodraw.sty package.
latexCommand(float, Dimension) - Method in class jhplot.jadraw.JaVertexT5
The LaTeX command that is necessary to draw the given JaVertexT2 using the axodraw.sty package.
latexCommand(float, Dimension) - Method in class jhplot.jadraw.JaVertexT6
The LaTeX command that is necessary to draw the given JaVertexT6 using the axodraw.sty package.
latexCommand(float, Dimension) - Method in class jhplot.jadraw.JaZigZagLine
The LaTeX command that is necessary to draw this JaZigZagLine using the axodraw.sty package.
latexWidth() - Method in class jhplot.jadraw.JaArcObject
The LaTeX command that sets the width for this Arc, using the axodraw.sty package.
latexWidth() - Method in class jhplot.jadraw.JaFillObject
Returns the string that sets the latex line width of this FillObject.
latexWidth() - Method in class jhplot.jadraw.JaKey
Returns the line width of this label.
latexWidth() - Method in class jhplot.jadraw.JaLatexText
Returns the line width of this JaxoText.
latexWidth() - Method in class jhplot.jadraw.JaLineObject
The LaTeX command that sets the width for this Line, using the axodraw.sty package.
latexWidth() - Method in class jhplot.jadraw.JaLoopObject
The LaTeX command that sets the width for this Loop, using the axodraw.sty package.
latexWidth() - Method in class jhplot.jadraw.JaObject
The LaTeX command that sets the width for this JaObject, using the axodraw.sty package.
latexWidth() - Method in class jhplot.jadraw.JaText
Returns the line width of this label.
latexWidth() - Method in class jhplot.jadraw.JaVertex
Returns the line width of this JaVertex.
lcm(int, int) - Static method in class org.apache.commons.math.util.MathUtils
Returns the least common multiple of the absolute value of two numbers, using the formula lcm(a,b) = (a / gcd(a,b)) * b.
lcm(long, long) - Static method in class org.apache.commons.math.util.MathUtils
Returns the least common multiple of the absolute value of two numbers, using the formula lcm(a,b) = (a / gcd(a,b)) * b.
leapFrog(double[], F1D, double) - Static method in class jhplot.math.Numeric
Uses the Leap-Frog method to solve an ODE.
learn() - Method in class jhplot.bsom.BsomDemo
Set learn mode
LeastSquaresConverter - Class in org.apache.commons.math.optimization
This class converts vectorial objective functions to scalar objective functions when the goal is to minimize them.
LeastSquaresConverter(MultivariateVectorialFunction, double[]) - Constructor for class org.apache.commons.math.optimization.LeastSquaresConverter
Build a simple converter for uncorrelated residuals with the same weight.
LeastSquaresConverter(MultivariateVectorialFunction, double[], double[]) - Constructor for class org.apache.commons.math.optimization.LeastSquaresConverter
Build a simple converter for uncorrelated residuals with the specific weights.
LeastSquaresConverter(MultivariateVectorialFunction, double[], RealMatrix) - Constructor for class org.apache.commons.math.optimization.LeastSquaresConverter
Build a simple converter for correlated residuals with the specific weights.
LeastSquaresFitMethod - Class in hep.aida.ref.fitter.fitmethod
 
LeastSquaresFitMethod() - Constructor for class hep.aida.ref.fitter.fitmethod.LeastSquaresFitMethod
 
LEDataInputStream - Class in jhplot.math.io
This class was designed on the base of Roedy Green LEDataInputStream Thanks to Roedy Green, Canadian Mind Products mailto:roedy@mindprod.com http://mindprod.com
LEDataInputStream(InputStream) - Constructor for class jhplot.math.io.LEDataInputStream
 
LEDataOutputStream - Class in jhplot.math.io
This class was designed on the base of Roedy Green LEDataInputStream Thanks to Roedy Green, Canadian Mind Products mailto:roedy@mindprod.com http://mindprod.com
LEDataOutputStream(OutputStream) - Constructor for class jhplot.math.io.LEDataOutputStream
 
LegendreGaussIntegrator - Class in org.apache.commons.math.analysis.integration
Implements the Legendre-Gauss quadrature formula.
LegendreGaussIntegrator(int, int) - Constructor for class org.apache.commons.math.analysis.integration.LegendreGaussIntegrator
Build a Legendre-Gauss integrator.
length() - Method in class hep.aida.ref.function.RangeSet
 
LENGTH - Static variable in class jhplot.jadraw.JaObject
An integer that gives the length of the handle sides.
length() - Method in class jhplot.math.io.LERandomAccessFile
 
LERandomAccessFile - Class in jhplot.math.io
This class was designed on the base of Roedy Green LEDataInputStream Thanks to Roedy Green, Canadian Mind Products mailto:roedy@mindprod.com http://mindprod.com
LERandomAccessFile(String, String) - Constructor for class jhplot.math.io.LERandomAccessFile
constructors
LERandomAccessFile(File, String) - Constructor for class jhplot.math.io.LERandomAccessFile
 
lessThan(Dfp) - Method in class org.apache.commons.math.dfp.Dfp
Check if instance is less than x.
LevenbergMarquardtEstimator - Class in org.apache.commons.math.estimation
Deprecated. as of 2.0, everything in package org.apache.commons.math.estimation has been deprecated and replaced by package org.apache.commons.math.optimization.general
LevenbergMarquardtEstimator() - Constructor for class org.apache.commons.math.estimation.LevenbergMarquardtEstimator
Deprecated. Build an estimator for least squares problems.
LevenbergMarquardtOptimizer - Class in org.apache.commons.math.optimization.general
This class solves a least squares problem using the Levenberg-Marquardt algorithm.
LevenbergMarquardtOptimizer() - Constructor for class org.apache.commons.math.optimization.general.LevenbergMarquardtOptimizer
Build an optimizer for least squares problems.
LimitCalculator - Class in jhpro.stat.limit
Create a limit calculator.
LimitCalculator() - Constructor for class jhpro.stat.limit.LimitCalculator
 
LimitCalculatorGui - Class in jhpro.stat.limit
 
LimitCalculatorGui() - Constructor for class jhpro.stat.limit.LimitCalculatorGui
 
LimitCalculatorGui.ExperimentData - Class in jhpro.stat.limit
 
LimitCalculatorGui.myFrame - Class in jhpro.stat.limit
 
LINE - Static variable in class jhplot.shapes.HShape
 
Line - Class in jhplot.shapes
Draw a line in the user or NDC coordinate system
Line(double, double, double, double, Stroke, Color) - Constructor for class jhplot.shapes.Line
Main constructor fot a line
Line(double, double, double, double) - Constructor for class jhplot.shapes.Line
Make a line using black (default) color and default stroke
LinearAlgebra - Class in jhplot.math
A collection of static methods for performing math operations on matrices and arrays.
LinearAlgebra() - Constructor for class jhplot.math.LinearAlgebra
 
LinearCongruentialRNG - Class in jhplot.math.num.random
A general linear congruential generator.
LinearCongruentialRNG(long, long) - Constructor for class jhplot.math.num.random.LinearCongruentialRNG
Create a linear congruential generator with the given modulus and multiplier.
LinearCongruentialRNG(long, long, long) - Constructor for class jhplot.math.num.random.LinearCongruentialRNG
Create a linear congruential generator with the given parameters.
LinearCongruentialRNG(long, long, long, long) - Constructor for class jhplot.math.num.random.LinearCongruentialRNG
Create a linear congruential generator with the given parameters.
LinearConstraint - Class in org.apache.commons.math.optimization.linear
A linear constraint for a linear optimization problem.
LinearConstraint(double[], Relationship, double) - Constructor for class org.apache.commons.math.optimization.linear.LinearConstraint
Build a constraint involving a single linear equation.
LinearConstraint(RealVector, Relationship, double) - Constructor for class org.apache.commons.math.optimization.linear.LinearConstraint
Build a constraint involving a single linear equation.
LinearConstraint(double[], double, Relationship, double[], double) - Constructor for class org.apache.commons.math.optimization.linear.LinearConstraint
Build a constraint involving two linear equations.
LinearConstraint(RealVector, double, Relationship, RealVector, double) - Constructor for class org.apache.commons.math.optimization.linear.LinearConstraint
Build a constraint involving two linear equations.
linearConv(double, double, Matrix) - Method in class jhplot.bsom.Matrix
Linear conversion: a*X + b*Y.
LinearInterpolator - Class in org.apache.commons.math.analysis.interpolation
Implements a linear function for interpolation of real univariate functions.
LinearInterpolator() - Constructor for class org.apache.commons.math.analysis.interpolation.LinearInterpolator
 
LinearObjectiveFunction - Class in org.apache.commons.math.optimization.linear
An objective function for a linear optimization problem.
LinearObjectiveFunction(double[], double) - Constructor for class org.apache.commons.math.optimization.linear.LinearObjectiveFunction
 
LinearObjectiveFunction(RealVector, double) - Constructor for class org.apache.commons.math.optimization.linear.LinearObjectiveFunction
 
LinearOptimizer - Interface in org.apache.commons.math.optimization.linear
This interface represents an optimization algorithm for linear problems.
Link - Class in hep.aida.ref.tree
A Link is a managed object representing a symbolic link.
LINK_ADDED - Static variable in class hep.aida.ref.event.TreeEvent
 
LinReg - Class in jhplot.stat
A linear regression analysis.
LinReg(double[], double[]) - Constructor for class jhplot.stat.LinReg
Constructor for regression calculations
LinReg(P1D) - Constructor for class jhplot.stat.LinReg
constructor for regression calculations.
LinRegWeighted - Class in jhplot.stat
Weighted Least Squares Regression
LinRegWeighted(double[], double[], double[]) - Constructor for class jhplot.stat.LinRegWeighted
Constructor for regression calculations
list() - Method in class hep.aida.ref.function.FunctionCatalog
 
listAll() - Method in class jhplot.HBook
List all objects inside HBook
listEntries() - Method in class jhplot.io.PFile
List objects stored in the file.
listH1D() - Method in class jhplot.HBook
List all known H1D histograms.
listH2D() - Method in class jhplot.HBook
List all known H1D histograms.
listObjectNames() - Method in class hep.aida.ref.tree.Tree
Get the list of names of the IManagedObjects under a given path, including directories (but not "." and "..").
listObjectNames(String) - Method in class hep.aida.ref.tree.Tree
Get the list of names of the IManagedObjects under a given path, including directories (but not "." and "..").
listObjectNames(String, boolean) - Method in class hep.aida.ref.tree.Tree
Get the list of names of the IManagedObjects under a given path, including directories (but not "." and "..").
listObjectNames() - Method in class jhplot.io.FileAida
List name of the objects inside trees
listObjectTypes() - Method in class hep.aida.ref.tree.Tree
Get the list of types of the IManagedObjects under a given path.
listObjectTypes(String) - Method in class hep.aida.ref.tree.Tree
Get the list of types of the IManagedObjects under a given path.
listObjectTypes(String, boolean) - Method in class hep.aida.ref.tree.Tree
Get the list of types of the IManagedObjects under a given path.
listP1D() - Method in class jhplot.HBook
List all known P1D objects.
listParameterSettings() - Method in class hep.aida.ref.fitter.Fitter
 
ListPopulation - Class in org.apache.commons.math.genetics
Population of chromosomes represented by a List.
ListPopulation(List<Chromosome>, int) - Constructor for class org.apache.commons.math.genetics.ListPopulation
Creates a new ListPopulation instance.
ListPopulation(int) - Constructor for class org.apache.commons.math.genetics.ListPopulation
Creates a new ListPopulation instance and initializes its inner chromosome list.
LITTLE_ENDIAN - Static variable in class jhplot.math.io.BinaryFile
 
LITTLE_ENDIAN - Static variable in class jhplot.math.io.BinaryInputStream
 
LITTLE_ENDIAN - Static variable in class jhplot.math.io.BinaryOutputStream
 
load(String) - Method in class jhplot.BRoot
Load a ROOT file
load(H1D, String) - Method in class jhplot.HFit
Load a histogram for a fit
load(P1D, String) - Method in class jhplot.HFit
Load data for a fit
load(String, boolean) - Method in class jhplot.io.FileAida
Load a AIDA file
load(double[]) - Method in interface org.apache.commons.math.random.EmpiricalDistribution
Computes the empirical distribution from the provided array of numbers.
load(File) - Method in interface org.apache.commons.math.random.EmpiricalDistribution
Computes the empirical distribution from the input file.
load(URL) - Method in interface org.apache.commons.math.random.EmpiricalDistribution
Computes the empirical distribution using data read from a URL.
load(double[]) - Method in class org.apache.commons.math.random.EmpiricalDistributionImpl
Computes the empirical distribution from the provided array of numbers.
load(URL) - Method in class org.apache.commons.math.random.EmpiricalDistributionImpl
Computes the empirical distribution using data read from a URL.
load(File) - Method in class org.apache.commons.math.random.EmpiricalDistributionImpl
Computes the empirical distribution from the input file.
loadAll(String) - Method in class hep.aida.ref.function.FunctionCatalog
 
loadData(P1D) - Method in class jhplot.bsom.Bsom
 
loadData(String) - Method in class jhplot.bsom.Bsom
 
Localizable - Interface in org.apache.commons.math.exception.util
Interface for localizable strings.
LocalizedFormats - Enum in org.apache.commons.math.exception.util
Enumeration for localized messages formats used in exceptions messages.
LoessInterpolator - Class in org.apache.commons.math.analysis.interpolation
Implements the Local Regression Algorithm (also Loess, Lowess) for interpolation of real univariate functions.
LoessInterpolator() - Constructor for class org.apache.commons.math.analysis.interpolation.LoessInterpolator
Constructs a new LoessInterpolator with a bandwidth of LoessInterpolator.DEFAULT_BANDWIDTH, LoessInterpolator.DEFAULT_ROBUSTNESS_ITERS robustness iterations and an accuracy of {#link #DEFAULT_ACCURACY}.
LoessInterpolator(double, int) - Constructor for class org.apache.commons.math.analysis.interpolation.LoessInterpolator
Constructs a new LoessInterpolator with given bandwidth and number of robustness iterations.
LoessInterpolator(double, int, double) - Constructor for class org.apache.commons.math.analysis.interpolation.LoessInterpolator
Constructs a new LoessInterpolator with given bandwidth, number of robustness iterations and accuracy.
log() - Method in class jhplot.math.Complex
Principal branch of the Complex logarithm of this Complex number.
log(ValueErr) - Static method in class jhplot.math.ValueErr
Take natural log
LOG - Static variable in class org.apache.commons.math.analysis.ComposableFunction
The FastMath.log method wrapped as a ComposableFunction.
log() - Method in class org.apache.commons.math.complex.Complex
Compute the natural logarithm of this complex number.
log(Dfp) - Static method in class org.apache.commons.math.dfp.DfpMath
Returns the natural logarithm of a.
log(double) - Static method in class org.apache.commons.math.util.FastMath
Natural logarithm.
log(double, double) - Static method in class org.apache.commons.math.util.MathUtils
Returns the logarithm for base b of x.
log10(ValueErr) - Static method in class jhplot.math.ValueErr
log to base 10
LOG10 - Static variable in class org.apache.commons.math.analysis.ComposableFunction
The FastMath.log10 method wrapped as a ComposableFunction.
log10() - Method in class org.apache.commons.math.dfp.Dfp
Get the exponent of the greatest power of 10 that is less than or equal to abs(this).
log10(double) - Static method in class org.apache.commons.math.util.FastMath
Compute the base 10 logarithm.
log10K() - Method in class org.apache.commons.math.dfp.Dfp
Get the exponent of the greatest power of 10000 that is less than or equal to the absolute value of this.
LOG1P - Static variable in class org.apache.commons.math.analysis.ComposableFunction
The FastMath.log1p method wrapped as a ComposableFunction.
log1p(double) - Static method in class org.apache.commons.math.util.FastMath
Compute log(1 + x).
LOG_2_PI - Static variable in interface jhplot.math.num.Constants
log(2 π).
logBeta(double, double) - Static method in class jhplot.math.num.special.Beta
Returns the natural logarithm of the beta function B(a, b) (1).
logBeta(double, double) - Static method in class org.apache.commons.math.special.Beta
Returns the natural logarithm of the beta function B(a, b).
logBeta(double, double, double, int) - Static method in class org.apache.commons.math.special.Beta
Returns the natural logarithm of the beta function B(a, b).
logBinomialProbability(int, int, double, double) - Static method in class jhplot.math.num.pdf.SaddlePoint
Compute the PMF for a binomial distribution using the saddle point expansion.
logGamma(double) - Static method in class jhplot.math.num.special.Gamma
Returns the natural logarithm of the gamma function Γ(x) (1).
logGamma(double) - Static method in class org.apache.commons.math.special.Gamma
Returns the natural logarithm of the gamma function Γ(x).
Logistic - Class in jhplot.math.num.pdf
The Logistic distribution.
Logistic() - Constructor for class jhplot.math.num.pdf.Logistic
Default constructor.
Logistic(double, double) - Constructor for class jhplot.math.num.pdf.Logistic
Create a distribution with the given mean and scale parameters.
LogisticRandomVariable - Class in jhplot.math.num.random
A random variable generator for the Logistic distribution.
LogisticRandomVariable() - Constructor for class jhplot.math.num.random.LogisticRandomVariable
Default constructor.
LogisticRandomVariable(double, double) - Constructor for class jhplot.math.num.random.LogisticRandomVariable
Create a random variable with the given mean and scale.
LogisticRandomVariable(double, double, RNG) - Constructor for class jhplot.math.num.random.LogisticRandomVariable
Create a random variable with the given parameters.
LogNormal - Class in jhplot.math.num.pdf
The Log Normal distribution.
LogNormal() - Constructor for class jhplot.math.num.pdf.LogNormal
Default constructor.
LogNormal(double, double) - Constructor for class jhplot.math.num.pdf.LogNormal
Create a distribution with the given mean and standard deviation.
logNormal(double, double) - Static method in class jhplot.math.Random
Generate a random number from a LogNormal random variable.
LogNormalRandomVariable - Class in jhplot.math.num.random
A random variable generator for the Log Normal distribution.
LogNormalRandomVariable() - Constructor for class jhplot.math.num.random.LogNormalRandomVariable
Default constructor.
LogNormalRandomVariable(double, double) - Constructor for class jhplot.math.num.random.LogNormalRandomVariable
Create a random variable with the given mean and standard deviation.
LogNormalRandomVariable(double, double, RNG) - Constructor for class jhplot.math.num.random.LogNormalRandomVariable
Create a random variable with the given parameters.
longValue() - Method in class org.apache.commons.math.fraction.BigFraction
Gets the fraction as a long.
longValue() - Method in class org.apache.commons.math.fraction.Fraction
Gets the fraction as a long.
LorentzianCoreNotNorm - Class in hep.aida.ref.function
 
LorentzianCoreNotNorm(String) - Constructor for class hep.aida.ref.function.LorentzianCoreNotNorm
 
LorentzianCoreNotNorm(String, double[]) - Constructor for class hep.aida.ref.function.LorentzianCoreNotNorm
 
lowerBound() - Method in class hep.aida.ref.fitter.FitParameterSettings
 
lowerBound() - Method in class hep.aida.ref.function.Range
Get the lower bound.
lowerBounds() - Method in class hep.aida.ref.function.RangeSet
Return array of lower or upper Bounds for the current set of ranges
lowerEdge() - Method in class hep.aida.ref.histogram.Cloud1D
Get the Cloud's lower edge.
lowerEdge() - Method in class hep.aida.ref.histogram.FixedAxis
Get the Axis lower edge.
lowerEdge() - Method in class hep.aida.ref.histogram.VariableAxis
 
lowerEdgeWithMargin() - Method in class hep.aida.ref.histogram.Cloud1D
 
lowerEdgeX() - Method in class hep.aida.ref.histogram.Cloud2D
Get the Cloud's x lower edge.
lowerEdgeX() - Method in class hep.aida.ref.histogram.Cloud3D
Get the Cloud's x lower edge.
lowerEdgeXWithMargin() - Method in class hep.aida.ref.histogram.Cloud2D
 
lowerEdgeXWithMargin() - Method in class hep.aida.ref.histogram.Cloud3D
 
lowerEdgeY() - Method in class hep.aida.ref.histogram.Cloud2D
Get the Cloud's y lower edge.
lowerEdgeY() - Method in class hep.aida.ref.histogram.Cloud3D
Get the Cloud's y lower edge.
lowerEdgeYWithMargin() - Method in class hep.aida.ref.histogram.Cloud2D
 
lowerEdgeYWithMargin() - Method in class hep.aida.ref.histogram.Cloud3D
 
lowerEdgeZ() - Method in class hep.aida.ref.histogram.Cloud3D
Get the Cloud's z lower edge.
lowerEdgeZWithMargin() - Method in class hep.aida.ref.histogram.Cloud3D
 
lowerExtent(int) - Method in class hep.aida.ref.histogram.DataPoint
Get the lower value for a give axis.
lowerExtent(int) - Method in class hep.aida.ref.histogram.DataPointSet
 
LParticle - Class in hephysics.particle
a light-weight Lorentz-type particle based on four-Lorentz vector.
LParticle(String, double) - Constructor for class hephysics.particle.LParticle
Define a particle with a name and mass
LParticle(double, double, double) - Constructor for class hephysics.particle.LParticle
Define a 3-momentum or X,Y,Z position.
LParticle(double, double, double, double, double) - Constructor for class hephysics.particle.LParticle
Define a particle in momentum or coordinate space.
LParticle(double, double, double, double) - Constructor for class hephysics.particle.LParticle
Define a particle in momentum or 4-space time.
LParticle(String, double, double, double, double, double) - Constructor for class hephysics.particle.LParticle
Define a Lorentz particle in momentum or coordinate space.
ls() - Method in class hep.aida.ref.tree.Tree
List, into a given output stream, all the IManagedObjects, including directories (but not "." and ".."), in a given path.
ls(String) - Method in class hep.aida.ref.tree.Tree
List, into a given output stream, all the IManagedObjects, including directories (but not "." and ".."), in a given path.
ls(String, boolean) - Method in class hep.aida.ref.tree.Tree
List, into a given output stream, all the IManagedObjects, including directories (but not "." and ".."), in a given path.
ls(String, boolean, OutputStream) - Method in class hep.aida.ref.tree.Tree
List, into a given output stream, all the IManagedObjects, including directories (but not "." and ".."), in a given path.
LU(double[][]) - Static method in class jhplot.math.LinearAlgebra
 
luDecompose() - Method in class org.apache.commons.math.linear.AbstractRealMatrix
Deprecated. as of release 2.0, replaced by LUDecomposition
luDecompose() - Method in class org.apache.commons.math.linear.BigMatrixImpl
Deprecated. Computes a new LU decompostion for this matrix, storing the result for use by other methods.
LUDecomposition - Class in jhplot.math
LU Decomposition.
LUDecomposition(double[][]) - Constructor for class jhplot.math.LUDecomposition
LU Decomposition
LUDecomposition - Interface in org.apache.commons.math.linear
An interface to classes that implement an algorithm to calculate the LU-decomposition of a real matrix.
LUDecompositionImpl - Class in org.apache.commons.math.linear
Calculates the LUP-decomposition of a square matrix.
LUDecompositionImpl(RealMatrix) - Constructor for class org.apache.commons.math.linear.LUDecompositionImpl
Calculates the LU-decomposition of the given matrix.
LUDecompositionImpl(RealMatrix, double) - Constructor for class org.apache.commons.math.linear.LUDecompositionImpl
Calculates the LU-decomposition of the given matrix.

M

m() - Method in class hephysics.vec.HepLorentzVector
Invariant mass.
m2() - Method in class hephysics.vec.HepLorentzVector
Invariant mass squared
mag() - Method in class hephysics.vec.Hep3Vector
 
mag() - Method in class hephysics.vec.HepLorentzVector
Magnitude sqrt(x**2+y**2+z**2)
mag2() - Method in class hephysics.vec.Hep3Vector
 
mag2() - Method in class hephysics.vec.HepLorentzVector
Magnitude squared: t()*t() - v.mag2() or e()*e() - v.mag2().
magnitude() - Method in class hephysics.vec.SpacePoint
 
magnitudeSquared() - Method in class hephysics.vec.Hep3Vector
 
magnitudeSquared() - Method in class hephysics.vec.SpacePoint
 
main(String[]) - Static method in class hep.aida.ref.fitter.Fitter
 
main(String[]) - Static method in class hep.aida.ref.function.examples.NonParametricUnbinnedFit
 
main(String[]) - Static method in class hep.aida.ref.function.FunctionCatalog
 
main(String[]) - Static method in class hep.aida.ref.function.UserFunction
 
main(String[]) - Static method in class jhplot.bsom.MainFrame
 
main(String[]) - Static method in class jhplot.bsom.MainFrameDemo
 
main(String[]) - Static method in class jhplot.HPlotJa
The main method of japlot.jaxodraw: determines system properties, preferences and command line arguments, before bringing up the graphical user interface.
main(String[]) - Static method in class jhplot.math.DoubleArray
 
main(String[]) - Static method in class jhplot.math.io.ASCIIFile
 
main(String[]) - Static method in class jhplot.math.io.BinaryFile
 
main(String[]) - Static method in class jhplot.math.KolmogorovSmirnovDist
 
main(String[]) - Static method in class jhplot.math.Poisson
 
main(String[]) - Static method in class jhplot.math.Slicing
 
main(String[]) - Static method in class jhplot.math.Sorting
 
main(String[]) - Static method in class jhplot.math.SortUtils
Test method
main(String[]) - Static method in class jhplot.PND
Test
main(String[]) - Static method in class jhplot.PNI
Test
main(String[]) - Static method in class jhplot.root.RootHistogramBrowser
 
main(String[]) - Static method in class jhplot.SPlot
 
main(String[]) - Static method in class jhplot.stat.PCA
 
main(String[]) - Static method in class jhplot.v3d.TestCanvas
 
main(String[]) - Static method in class jhpro.stat.limit.LimitCalculatorGui
 
main(String[]) - Static method in class jhpro.test.TestCalculator
 
main(String[]) - Static method in class jhpro.test.TestLimit
 
main(String[]) - Static method in class jminhep.cluster.DataHolder
Main method -- to test the DataPoint class
main(String[]) - Static method in class jminhep.cluster.DataPoint
Main method -- to test the DataPoint class
MainFrame - Class in jhplot.bsom
 
MainFrame() - Constructor for class jhplot.bsom.MainFrame
 
MainFrameDemo - Class in jhplot.bsom
 
MainFrameDemo() - Constructor for class jhplot.bsom.MainFrameDemo
 
ManagedObject - Class in hep.aida.ref
An object which can be stored in a tree.
ManagedObject(String) - Constructor for class hep.aida.ref.ManagedObject
Creates a new instance of ManagedObject.
map(UnivariateRealFunction) - Method in class org.apache.commons.math.linear.AbstractRealVector
Acts as if implemented as:
map(UnivariateRealFunction) - Method in interface org.apache.commons.math.linear.RealVector
Acts as if implemented as:
mapAbs() - Method in class org.apache.commons.math.linear.AbstractRealVector
Map the Math.abs(double) function to each entry.
mapAbs() - Method in interface org.apache.commons.math.linear.RealVector
Deprecated. in 2.2 (to be removed in 3.0).
mapAbsToSelf() - Method in class org.apache.commons.math.linear.AbstractRealVector
Map the Math.abs(double) function to each entry.
mapAbsToSelf() - Method in class org.apache.commons.math.linear.ArrayRealVector
Map the Math.abs(double) function to each entry.
mapAbsToSelf() - Method in interface org.apache.commons.math.linear.RealVector
Deprecated. in 2.2 (to be removed in 3.0).
mapAcos() - Method in class org.apache.commons.math.linear.AbstractRealVector
Map the Math.acos(double) function to each entry.
mapAcos() - Method in interface org.apache.commons.math.linear.RealVector
Deprecated. in 2.2 (to be removed in 3.0).
mapAcosToSelf() - Method in class org.apache.commons.math.linear.AbstractRealVector
Map the Math.acos(double) function to each entry.
mapAcosToSelf() - Method in class org.apache.commons.math.linear.ArrayRealVector
Map the Math.acos(double) function to each entry.
mapAcosToSelf() - Method in interface org.apache.commons.math.linear.RealVector
Deprecated. in 2.2 (to be removed in 3.0).
mapAdd(double) - Method in class org.apache.commons.math.linear.AbstractRealVector
Add a value to each entry.
mapAdd(T) - Method in class org.apache.commons.math.linear.ArrayFieldVector
Map an addition operation to each entry.
mapAdd(T) - Method in interface org.apache.commons.math.linear.FieldVector
Map an addition operation to each entry.
mapAdd(double) - Method in class org.apache.commons.math.linear.OpenMapRealVector
Add a value to each entry.
mapAdd(double) - Method in interface org.apache.commons.math.linear.RealVector
Add a value to each entry.
mapAdd(T) - Method in class org.apache.commons.math.linear.SparseFieldVector
Map an addition operation to each entry.
mapAddToSelf(double) - Method in class org.apache.commons.math.linear.AbstractRealVector
Add a value to each entry.
mapAddToSelf(T) - Method in class org.apache.commons.math.linear.ArrayFieldVector
Map an addition operation to each entry.
mapAddToSelf(double) - Method in class org.apache.commons.math.linear.ArrayRealVector
Add a value to each entry.
mapAddToSelf(T) - Method in interface org.apache.commons.math.linear.FieldVector
Map an addition operation to each entry.
mapAddToSelf(double) - Method in class org.apache.commons.math.linear.OpenMapRealVector
Add a value to each entry.
mapAddToSelf(double) - Method in interface org.apache.commons.math.linear.RealVector
Add a value to each entry.
mapAddToSelf(T) - Method in class org.apache.commons.math.linear.SparseFieldVector
Map an addition operation to each entry.
mapAsin() - Method in class org.apache.commons.math.linear.AbstractRealVector
Map the Math.asin(double) function to each entry.
mapAsin() - Method in interface org.apache.commons.math.linear.RealVector
Deprecated. in 2.2 (to be removed in 3.0).
mapAsinToSelf() - Method in class org.apache.commons.math.linear.AbstractRealVector
Map the Math.asin(double) function to each entry.
mapAsinToSelf() - Method in class org.apache.commons.math.linear.ArrayRealVector
Map the Math.asin(double) function to each entry.
mapAsinToSelf() - Method in interface org.apache.commons.math.linear.RealVector
Deprecated. in 2.2 (to be removed in 3.0).
mapAtan() - Method in class org.apache.commons.math.linear.AbstractRealVector
Map the Math.atan(double) function to each entry.
mapAtan() - Method in interface org.apache.commons.math.linear.RealVector
Deprecated. in 2.2 (to be removed in 3.0).
mapAtanToSelf() - Method in class org.apache.commons.math.linear.AbstractRealVector
Map the Math.atan(double) function to each entry.
mapAtanToSelf() - Method in class org.apache.commons.math.linear.ArrayRealVector
Map the Math.atan(double) function to each entry.
mapAtanToSelf() - Method in interface org.apache.commons.math.linear.RealVector
Deprecated. in 2.2 (to be removed in 3.0).
mapBinNumber(int, IAxis) - Method in class hep.aida.ref.histogram.AbstractBaseHistogram
Utility method to map the bin number from the external representation (from -2 to nBins-1 where -2 is the overflow and -1 is the underflow) to the internal one (from 0 to nBins+1 where 0 is the underflow and nBins+1 if the overflow bin)
mapBinNumber(int, IAxis) - Method in class jhplot.HProf2D
Utility method to map the bin number from the external representation (from -2 to nBins-1 where -2 is the overflow and -1 is the underflow) to the internal one (from 0 to nBins+1 where 0 is the underflow and nBins+1 if the overflow bin)
mapCbrt() - Method in class org.apache.commons.math.linear.AbstractRealVector
Map the Math.cbrt(double) function to each entry.
mapCbrt() - Method in interface org.apache.commons.math.linear.RealVector
Deprecated. in 2.2 (to be removed in 3.0).
mapCbrtToSelf() - Method in class org.apache.commons.math.linear.AbstractRealVector
Map the Math.cbrt(double) function to each entry.
mapCbrtToSelf() - Method in class org.apache.commons.math.linear.ArrayRealVector
Map the Math.cbrt(double) function to each entry.
mapCbrtToSelf() - Method in interface org.apache.commons.math.linear.RealVector
Deprecated. in 2.2 (to be removed in 3.0).
mapCeil() - Method in class org.apache.commons.math.linear.AbstractRealVector
Map the Math.ceil(double) function to each entry.
mapCeil() - Method in interface org.apache.commons.math.linear.RealVector
Deprecated. in 2.2 (to be removed in 3.0).
mapCeilToSelf() - Method in class org.apache.commons.math.linear.AbstractRealVector
Map the Math.ceil(double) function to each entry.
mapCeilToSelf() - Method in class org.apache.commons.math.linear.ArrayRealVector
Map the Math.ceil(double) function to each entry.
mapCeilToSelf() - Method in interface org.apache.commons.math.linear.RealVector
Deprecated. in 2.2 (to be removed in 3.0).
mapCos() - Method in class org.apache.commons.math.linear.AbstractRealVector
Map the Math.cos(double) function to each entry.
mapCos() - Method in interface org.apache.commons.math.linear.RealVector
Deprecated. in 2.2 (to be removed in 3.0).
mapCosh() - Method in class org.apache.commons.math.linear.AbstractRealVector
Map the Math.cosh(double) function to each entry.
mapCosh() - Method in interface org.apache.commons.math.linear.RealVector
Deprecated. in 2.2 (to be removed in 3.0).
mapCoshToSelf() - Method in class org.apache.commons.math.linear.AbstractRealVector
Map the Math.cosh(double) function to each entry.
mapCoshToSelf() - Method in class org.apache.commons.math.linear.ArrayRealVector
Map the Math.cosh(double) function to each entry.
mapCoshToSelf() - Method in interface org.apache.commons.math.linear.RealVector
Deprecated. in 2.2 (to be removed in 3.0).
mapCosToSelf() - Method in class org.apache.commons.math.linear.AbstractRealVector
Map the Math.cos(double) function to each entry.
mapCosToSelf() - Method in class org.apache.commons.math.linear.ArrayRealVector
Map the Math.cos(double) function to each entry.
mapCosToSelf() - Method in interface org.apache.commons.math.linear.RealVector
Deprecated. in 2.2 (to be removed in 3.0).
mapDivide(double) - Method in class org.apache.commons.math.linear.AbstractRealVector
Divide each entry.
mapDivide(T) - Method in class org.apache.commons.math.linear.ArrayFieldVector
Map a division operation to each entry.
mapDivide(T) - Method in interface org.apache.commons.math.linear.FieldVector
Map a division operation to each entry.
mapDivide(double) - Method in interface org.apache.commons.math.linear.RealVector
Divide each entry.
mapDivide(T) - Method in class org.apache.commons.math.linear.SparseFieldVector
Map a division operation to each entry.
mapDivideToSelf(double) - Method in class org.apache.commons.math.linear.AbstractRealVector
Divide each entry.
mapDivideToSelf(T) - Method in class org.apache.commons.math.linear.ArrayFieldVector
Map a division operation to each entry.
mapDivideToSelf(double) - Method in class org.apache.commons.math.linear.ArrayRealVector
Divide each entry.
mapDivideToSelf(T) - Method in interface org.apache.commons.math.linear.FieldVector
Map a division operation to each entry.
mapDivideToSelf(double) - Method in interface org.apache.commons.math.linear.RealVector
Divide each entry.
mapDivideToSelf(T) - Method in class org.apache.commons.math.linear.SparseFieldVector
Map a division operation to each entry.
mapExp() - Method in class org.apache.commons.math.linear.AbstractRealVector
Map the Math.exp(double) function to each entry.
mapExp() - Method in interface org.apache.commons.math.linear.RealVector
Deprecated. in 2.2 (to be removed in 3.0).
mapExpm1() - Method in class org.apache.commons.math.linear.AbstractRealVector
Map the Math.expm1(double) function to each entry.
mapExpm1() - Method in interface org.apache.commons.math.linear.RealVector
Deprecated. in 2.2 (to be removed in 3.0).
mapExpm1ToSelf() - Method in class org.apache.commons.math.linear.AbstractRealVector
Map the Math.expm1(double) function to each entry.
mapExpm1ToSelf() - Method in class org.apache.commons.math.linear.ArrayRealVector
Map the Math.expm1(double) function to each entry.
mapExpm1ToSelf() - Method in interface org.apache.commons.math.linear.RealVector
Deprecated. in 2.2 (to be removed in 3.0).
mapExpToSelf() - Method in class org.apache.commons.math.linear.AbstractRealVector
Map Math.exp(double) operation to each entry.
mapExpToSelf() - Method in class org.apache.commons.math.linear.ArrayRealVector
Map Math.exp(double) operation to each entry.
mapExpToSelf() - Method in interface org.apache.commons.math.linear.RealVector
Deprecated. in 2.2 (to be removed in 3.0).
mapFloor() - Method in class org.apache.commons.math.linear.AbstractRealVector
Map the Math.floor(double) function to each entry.
mapFloor() - Method in interface org.apache.commons.math.linear.RealVector
Deprecated. in 2.2 (to be removed in 3.0).
mapFloorToSelf() - Method in class org.apache.commons.math.linear.AbstractRealVector
Map the Math.floor(double) function to each entry.
mapFloorToSelf() - Method in class org.apache.commons.math.linear.ArrayRealVector
Map the Math.floor(double) function to each entry.
mapFloorToSelf() - Method in interface org.apache.commons.math.linear.RealVector
Deprecated. in 2.2 (to be removed in 3.0).
mapInv() - Method in class org.apache.commons.math.linear.AbstractRealVector
Map the 1/x function to each entry.
mapInv() - Method in class org.apache.commons.math.linear.ArrayFieldVector
Map the 1/x function to each entry.
mapInv() - Method in interface org.apache.commons.math.linear.FieldVector
Map the 1/x function to each entry.
mapInv() - Method in interface org.apache.commons.math.linear.RealVector
Deprecated. in 2.2 (to be removed in 3.0).
mapInv() - Method in class org.apache.commons.math.linear.SparseFieldVector
Map the 1/x function to each entry.
mapInvToSelf() - Method in class org.apache.commons.math.linear.AbstractRealVector
Map the 1/x function to each entry.
mapInvToSelf() - Method in class org.apache.commons.math.linear.ArrayFieldVector
Map the 1/x function to each entry.
mapInvToSelf() - Method in class org.apache.commons.math.linear.ArrayRealVector
Map the 1/x function to each entry.
mapInvToSelf() - Method in interface org.apache.commons.math.linear.FieldVector
Map the 1/x function to each entry.
mapInvToSelf() - Method in interface org.apache.commons.math.linear.RealVector
Deprecated. in 2.2 (to be removed in 3.0).
mapInvToSelf() - Method in class org.apache.commons.math.linear.SparseFieldVector
Map the 1/x function to each entry.
mapLog() - Method in class org.apache.commons.math.linear.AbstractRealVector
Map the Math.log(double) function to each entry.
mapLog() - Method in interface org.apache.commons.math.linear.RealVector
Deprecated. in 2.2 (to be removed in 3.0).
mapLog10() - Method in class org.apache.commons.math.linear.AbstractRealVector
Map the Math.log10(double) function to each entry.
mapLog10() - Method in interface org.apache.commons.math.linear.RealVector
Deprecated. in 2.2 (to be removed in 3.0).
mapLog10ToSelf() - Method in class org.apache.commons.math.linear.AbstractRealVector
Map the Math.log10(double) function to each entry.
mapLog10ToSelf() - Method in class org.apache.commons.math.linear.ArrayRealVector
Map the Math.log10(double) function to each entry.
mapLog10ToSelf() - Method in interface org.apache.commons.math.linear.RealVector
Deprecated. in 2.2 (to be removed in 3.0).
mapLog1p() - Method in class org.apache.commons.math.linear.AbstractRealVector
Map the Math.log1p(double) function to each entry.
mapLog1p() - Method in interface org.apache.commons.math.linear.RealVector
Deprecated. in 2.2 (to be removed in 3.0).
mapLog1pToSelf() - Method in class org.apache.commons.math.linear.AbstractRealVector
Map the Math.log1p(double) function to each entry.
mapLog1pToSelf() - Method in class org.apache.commons.math.linear.ArrayRealVector
Map the Math.log1p(double) function to each entry.
mapLog1pToSelf() - Method in interface org.apache.commons.math.linear.RealVector
Deprecated. in 2.2 (to be removed in 3.0).
mapLogToSelf() - Method in class org.apache.commons.math.linear.AbstractRealVector
Map the Math.log(double) function to each entry.
mapLogToSelf() - Method in class org.apache.commons.math.linear.ArrayRealVector
Map the Math.log(double) function to each entry.
mapLogToSelf() - Method in interface org.apache.commons.math.linear.RealVector
Deprecated. in 2.2 (to be removed in 3.0).
mapMultiply(double) - Method in class org.apache.commons.math.linear.AbstractRealVector
Multiply each entry.
mapMultiply(T) - Method in class org.apache.commons.math.linear.ArrayFieldVector
Map a multiplication operation to each entry.
mapMultiply(T) - Method in interface org.apache.commons.math.linear.FieldVector
Map a multiplication operation to each entry.
mapMultiply(double) - Method in interface org.apache.commons.math.linear.RealVector
Multiply each entry.
mapMultiply(T) - Method in class org.apache.commons.math.linear.SparseFieldVector
Map a multiplication operation to each entry.
mapMultiplyToSelf(double) - Method in class org.apache.commons.math.linear.AbstractRealVector
Multiply each entry.
mapMultiplyToSelf(T) - Method in class org.apache.commons.math.linear.ArrayFieldVector
Map a multiplication operation to each entry.
mapMultiplyToSelf(double) - Method in class org.apache.commons.math.linear.ArrayRealVector
Multiply each entry.
mapMultiplyToSelf(T) - Method in interface org.apache.commons.math.linear.FieldVector
Map a multiplication operation to each entry.
mapMultiplyToSelf(double) - Method in interface org.apache.commons.math.linear.RealVector
Multiply each entry.
mapMultiplyToSelf(T) - Method in class org.apache.commons.math.linear.SparseFieldVector
Map a multiplication operation to each entry.
mapNames() - Method in class jhplot.io.PFile
Generate an association between record number and object name.
MappingStrategy - Interface in jhplot.io.csv.bean
 
mapPow(double) - Method in class org.apache.commons.math.linear.AbstractRealVector
Map a power operation to each entry.
mapPow(double) - Method in interface org.apache.commons.math.linear.RealVector
Deprecated. in 2.2 (to be removed in 3.0).
mapPowToSelf(double) - Method in class org.apache.commons.math.linear.AbstractRealVector
Map a power operation to each entry.
mapPowToSelf(double) - Method in class org.apache.commons.math.linear.ArrayRealVector
Map a power operation to each entry.
mapPowToSelf(double) - Method in interface org.apache.commons.math.linear.RealVector
Deprecated. in 2.2 (to be removed in 3.0).
mapRint() - Method in class org.apache.commons.math.linear.AbstractRealVector
Map the Math.rint(double) function to each entry.
mapRint() - Method in interface org.apache.commons.math.linear.RealVector
Deprecated. in 2.2 (to be removed in 3.0).
mapRintToSelf() - Method in class org.apache.commons.math.linear.AbstractRealVector
Map the Math.rint(double) function to each entry.
mapRintToSelf() - Method in class org.apache.commons.math.linear.ArrayRealVector
Map the Math.rint(double) function to each entry.
mapRintToSelf() - Method in interface org.apache.commons.math.linear.RealVector
Deprecated. in 2.2 (to be removed in 3.0).
mapSignum() - Method in class org.apache.commons.math.linear.AbstractRealVector
Map the Math.signum(double) function to each entry.
mapSignum() - Method in interface org.apache.commons.math.linear.RealVector
Deprecated. in 2.2 (to be removed in 3.0).
mapSignumToSelf() - Method in class org.apache.commons.math.linear.AbstractRealVector
Map the Math.signum(double) function to each entry.
mapSignumToSelf() - Method in class org.apache.commons.math.linear.ArrayRealVector
Map the Math.signum(double) function to each entry.
mapSignumToSelf() - Method in interface org.apache.commons.math.linear.RealVector
Deprecated. in 2.2 (to be removed in 3.0).
mapSin() - Method in class org.apache.commons.math.linear.AbstractRealVector
Map the Math.sin(double) function to each entry.
mapSin() - Method in interface org.apache.commons.math.linear.RealVector
Deprecated. in 2.2 (to be removed in 3.0).
mapSinh() - Method in class org.apache.commons.math.linear.AbstractRealVector
Map the Math.sinh(double) function to each entry.
mapSinh() - Method in interface org.apache.commons.math.linear.RealVector
Deprecated. in 2.2 (to be removed in 3.0).
mapSinhToSelf() - Method in class org.apache.commons.math.linear.AbstractRealVector
Map the Math.sinh(double) function to each entry.
mapSinhToSelf() - Method in class org.apache.commons.math.linear.ArrayRealVector
Map the Math.sinh(double) function to each entry.
mapSinhToSelf() - Method in interface org.apache.commons.math.linear.RealVector
Deprecated. in 2.2 (to be removed in 3.0).
mapSinToSelf() - Method in class org.apache.commons.math.linear.AbstractRealVector
Map the Math.sin(double) function to each entry.
mapSinToSelf() - Method in class org.apache.commons.math.linear.ArrayRealVector
Map the Math.sin(double) function to each entry.
mapSinToSelf() - Method in interface org.apache.commons.math.linear.RealVector
Deprecated. in 2.2 (to be removed in 3.0).
mapSqrt() - Method in class org.apache.commons.math.linear.AbstractRealVector
Map the Math.sqrt(double) function to each entry.
mapSqrt() - Method in interface org.apache.commons.math.linear.RealVector
Deprecated. in 2.2 (to be removed in 3.0).
mapSqrtToSelf() - Method in class org.apache.commons.math.linear.AbstractRealVector
Map the Math.sqrt(double) function to each entry.
mapSqrtToSelf() - Method in class org.apache.commons.math.linear.ArrayRealVector
Map the Math.sqrt(double) function to each entry.
mapSqrtToSelf() - Method in interface org.apache.commons.math.linear.RealVector
Deprecated. in 2.2 (to be removed in 3.0).
mapSubtract(double) - Method in class org.apache.commons.math.linear.AbstractRealVector
Subtract a value from each entry.
mapSubtract(T) - Method in class org.apache.commons.math.linear.ArrayFieldVector
Map a subtraction operation to each entry.
mapSubtract(T) - Method in interface org.apache.commons.math.linear.FieldVector
Map a subtraction operation to each entry.
mapSubtract(double) - Method in interface org.apache.commons.math.linear.RealVector
Subtract a value from each entry.
mapSubtract(T) - Method in class org.apache.commons.math.linear.SparseFieldVector
Map a subtraction operation to each entry.
mapSubtractToSelf(double) - Method in class org.apache.commons.math.linear.AbstractRealVector
Subtract a value from each entry.
mapSubtractToSelf(T) - Method in class org.apache.commons.math.linear.ArrayFieldVector
Map a subtraction operation to each entry.
mapSubtractToSelf(double) - Method in class org.apache.commons.math.linear.ArrayRealVector
Subtract a value from each entry.
mapSubtractToSelf(T) - Method in interface org.apache.commons.math.linear.FieldVector
Map a subtraction operation to each entry.
mapSubtractToSelf(double) - Method in interface org.apache.commons.math.linear.RealVector
Subtract a value from each entry.
mapSubtractToSelf(T) - Method in class org.apache.commons.math.linear.SparseFieldVector
Map a subtraction operation to each entry.
mapTan() - Method in class org.apache.commons.math.linear.AbstractRealVector
Map the Math.tan(double) function to each entry.
mapTan() - Method in interface org.apache.commons.math.linear.RealVector
Deprecated. in 2.2 (to be removed in 3.0).
mapTanh() - Method in class org.apache.commons.math.linear.AbstractRealVector
Map the Math.tanh(double) function to each entry.
mapTanh() - Method in interface org.apache.commons.math.linear.RealVector
Deprecated. in 2.2 (to be removed in 3.0).
mapTanhToSelf() - Method in class org.apache.commons.math.linear.AbstractRealVector
Map the Math.tanh(double) function to each entry.
mapTanhToSelf() - Method in class org.apache.commons.math.linear.ArrayRealVector
Map the Math.tanh(double) function to each entry.
mapTanhToSelf() - Method in interface org.apache.commons.math.linear.RealVector
Deprecated. in 2.2 (to be removed in 3.0).
mapTanToSelf() - Method in class org.apache.commons.math.linear.AbstractRealVector
Map the Math.tan(double) function to each entry.
mapTanToSelf() - Method in class org.apache.commons.math.linear.ArrayRealVector
Map the Math.tan(double) function to each entry.
mapTanToSelf() - Method in interface org.apache.commons.math.linear.RealVector
Deprecated. in 2.2 (to be removed in 3.0).
mapToSelf(UnivariateRealFunction) - Method in class org.apache.commons.math.linear.AbstractRealVector
Acts as if it is implemented as:
mapToSelf(UnivariateRealFunction) - Method in interface org.apache.commons.math.linear.RealVector
Acts as if it is implemented as:
mapUlp() - Method in class org.apache.commons.math.linear.AbstractRealVector
Map the Math.ulp(double) function to each entry.
mapUlp() - Method in interface org.apache.commons.math.linear.RealVector
Deprecated. in 2.2 (to be removed in 3.0).
mapUlpToSelf() - Method in class org.apache.commons.math.linear.AbstractRealVector
Map the Math.ulp(double) function to each entry.
mapUlpToSelf() - Method in class org.apache.commons.math.linear.ArrayRealVector
Map the Math.ulp(double) function to each entry.
mapUlpToSelf() - Method in interface org.apache.commons.math.linear.RealVector
Deprecated. in 2.2 (to be removed in 3.0).
mass() - Method in class hephysics.particle.LParticle
Get a mass
mass(double[]) - Static method in class jhplot.math.ArrayMathUtils
Returns the sum of the elements of the array.
mass(int[]) - Static method in class jhplot.math.ArrayMathUtils
Returns the sum of the elements of the array.
MathConfigurationException - Exception in org.apache.commons.math
Signals a configuration problem with any of the factory methods.
MathConfigurationException() - Constructor for exception org.apache.commons.math.MathConfigurationException
Default constructor.
MathConfigurationException(String, Object...) - Constructor for exception org.apache.commons.math.MathConfigurationException
Constructs an exception with specified formatted detail message.
MathConfigurationException(Localizable, Object...) - Constructor for exception org.apache.commons.math.MathConfigurationException
Constructs an exception with specified formatted detail message.
MathConfigurationException(Throwable) - Constructor for exception org.apache.commons.math.MathConfigurationException
Create an exception with a given root cause.
MathConfigurationException(Throwable, String, Object...) - Constructor for exception org.apache.commons.math.MathConfigurationException
Constructs an exception with specified formatted detail message and root cause.
MathConfigurationException(Throwable, Localizable, Object...) - Constructor for exception org.apache.commons.math.MathConfigurationException
Constructs an exception with specified formatted detail message and root cause.
MathException - Exception in org.apache.commons.math
Base class for commons-math checked exceptions.
MathException() - Constructor for exception org.apache.commons.math.MathException
Constructs a new MathException with no detail message.
MathException(String, Object...) - Constructor for exception org.apache.commons.math.MathException
Deprecated. as of 2.2 replaced by MathException.MathException(Localizable, Object...)
MathException(Localizable, Object...) - Constructor for exception org.apache.commons.math.MathException
Constructs a new MathException with specified formatted detail message.
MathException(Throwable) - Constructor for exception org.apache.commons.math.MathException
Constructs a new MathException with specified nested Throwable root cause.
MathException(Throwable, String, Object...) - Constructor for exception org.apache.commons.math.MathException
Deprecated. as of 2.2 replaced by MathException.MathException(Throwable, Localizable, Object...)
MathException(Throwable, Localizable, Object...) - Constructor for exception org.apache.commons.math.MathException
Constructs a new MathException with specified formatted detail message and nested Throwable root cause.
Mathfun - Class in jhplot.math
 
Mathfun() - Constructor for class jhplot.math.Mathfun
 
MathIllegalArgumentException - Exception in org.apache.commons.math.exception
Base class for all preconditions violation exceptions.
MathIllegalNumberException - Exception in org.apache.commons.math.exception
Base class for exceptions raised by a wrong number.
MathIllegalStateException - Exception in org.apache.commons.math.exception
Base class for all exceptions that signal a mismatch between the current state and the user's expectations.
MathIllegalStateException(Localizable, Localizable, Object...) - Constructor for exception org.apache.commons.math.exception.MathIllegalStateException
Simple constructor.
MathIllegalStateException(Throwable, Localizable, Localizable, Object...) - Constructor for exception org.apache.commons.math.exception.MathIllegalStateException
Simple constructor.
MathIllegalStateException(Localizable, Object...) - Constructor for exception org.apache.commons.math.exception.MathIllegalStateException
 
MathIllegalStateException(Throwable, Localizable, Object...) - Constructor for exception org.apache.commons.math.exception.MathIllegalStateException
Simple constructor.
MathInternalError - Exception in org.apache.commons.math.exception
Exception triggered when something that shouldn't happen does happen.
MathInternalError() - Constructor for exception org.apache.commons.math.exception.MathInternalError
Simple constructor.
MathInternalError(Throwable) - Constructor for exception org.apache.commons.math.exception.MathInternalError
Simple constructor.
MathRNG - Class in jhplot.math.num.random
A random number generator that delegates random number generation to the Math.random() method.
MathRNG() - Constructor for class jhplot.math.num.random.MathRNG
 
MathRuntimeException - Exception in org.apache.commons.math
Base class for commons-math unchecked exceptions.
MathRuntimeException(String, Object...) - Constructor for exception org.apache.commons.math.MathRuntimeException
Deprecated. as of 2.2 replaced by MathRuntimeException.MathRuntimeException(Localizable, Object...)
MathRuntimeException(Localizable, Object...) - Constructor for exception org.apache.commons.math.MathRuntimeException
Constructs a new MathRuntimeException with specified formatted detail message.
MathRuntimeException(Throwable) - Constructor for exception org.apache.commons.math.MathRuntimeException
Constructs a new MathRuntimeException with specified nested Throwable root cause.
MathRuntimeException(Throwable, String, Object...) - Constructor for exception org.apache.commons.math.MathRuntimeException
Deprecated. as of 2.2 replaced by MathRuntimeException.MathRuntimeException(Throwable, Localizable, Object...)
MathRuntimeException(Throwable, Localizable, Object...) - Constructor for exception org.apache.commons.math.MathRuntimeException
Constructs a new MathRuntimeException with specified formatted detail message and nested Throwable root cause.
MathThrowable - Interface in org.apache.commons.math.exception
Interface for commons-math throwables.
MathUnsupportedOperationException - Exception in org.apache.commons.math.exception
Base class for all unsupported features.
MathUnsupportedOperationException(Object...) - Constructor for exception org.apache.commons.math.exception.MathUnsupportedOperationException
 
MathUnsupportedOperationException(Localizable, Object...) - Constructor for exception org.apache.commons.math.exception.MathUnsupportedOperationException
 
MathUtils - Class in org.apache.commons.math.util
Some useful additions to the built-in functions in Math.
MathUtils.OrderDirection - Enum in org.apache.commons.math.util
Specification of ordering direction.
Matrix - Class in jhplot.bsom
Matrix is a class for matrix objects with basic linear calculation methods.
Matrix(int) - Constructor for class jhplot.bsom.Matrix
Construct a square matrix object.
Matrix(int, int) - Constructor for class jhplot.bsom.Matrix
Construct a rectangle matrix object.
MatrixIndexException - Exception in org.apache.commons.math.linear
Thrown when an operation addresses a matrix coordinate (row, col) which is outside of the dimensions of a matrix.
MatrixIndexException(String, Object...) - Constructor for exception org.apache.commons.math.linear.MatrixIndexException
Deprecated. as of 2.2 replaced by MatrixIndexException.MatrixIndexException(Localizable, Object...)
MatrixIndexException(Localizable, Object...) - Constructor for exception org.apache.commons.math.linear.MatrixIndexException
Constructs a new instance with specified formatted detail message.
MatrixUtils - Class in org.apache.commons.math.linear
A collection of static methods that operate on or return matrices.
MatrixVisitorException - Exception in org.apache.commons.math.linear
Thrown when a visitor encounters an error while processing a matrix entry.
MatrixVisitorException(String, Object[]) - Constructor for exception org.apache.commons.math.linear.MatrixVisitorException
Constructs a new instance with specified formatted detail message.
MatrixVisitorException(Localizable, Object[]) - Constructor for exception org.apache.commons.math.linear.MatrixVisitorException
Constructs a new instance with specified formatted detail message.
max(double[]) - Static method in class jhplot.math.ArrayMathUtils
Returns the maximum of an array.
max(double[][]) - Static method in class jhplot.math.ArrayMathUtils
Returns the maximum of an array.
max(int[]) - Static method in class jhplot.math.ArrayMathUtils
Returns the maximum of an array.
max(int[][]) - Static method in class jhplot.math.ArrayMathUtils
Returns the maximum of an array.
max(double[][]) - Static method in class jhplot.math.DoubleArray
Finds the maximum value in each column of a matrix.
max(double...) - Static method in class jhplot.math.DoubleArray
Finds maximum value in either a list of numbers or a single array.
max(int[][]) - Static method in class jhplot.math.IntegerArray
 
max(int...) - Static method in class jhplot.math.IntegerArray
 
Max - Class in org.apache.commons.math.stat.descriptive.rank
Returns the maximum of the available values.
Max() - Constructor for class org.apache.commons.math.stat.descriptive.rank.Max
Create a Max instance
Max(Max) - Constructor for class org.apache.commons.math.stat.descriptive.rank.Max
Copy constructor, creates a new Max identical to the original
max(double[]) - Static method in class org.apache.commons.math.stat.StatUtils
Returns the maximum of the entries in the input array, or Double.NaN if the array is empty.
max(double[], int, int) - Static method in class org.apache.commons.math.stat.StatUtils
Returns the maximum of the entries in the specified portion of the input array, or Double.NaN if the designated subarray is empty.
max(int, int) - Static method in class org.apache.commons.math.util.FastMath
Compute the maximum of two values
max(long, long) - Static method in class org.apache.commons.math.util.FastMath
Compute the maximum of two values
max(float, float) - Static method in class org.apache.commons.math.util.FastMath
Compute the maximum of two values
max(double, double) - Static method in class org.apache.commons.math.util.FastMath
Compute the maximum of two values
MAX_EXP - Static variable in class org.apache.commons.math.dfp.Dfp
The maximum exponent before overflow is signaled and results flushed to infinity
maxBinHeight() - Method in class hep.aida.ref.histogram.Histogram
Get the maximum height of in-range bins in the Histogram.
maxBinHeight() - Method in class hep.aida.ref.histogram.Histogram1D
Get the maximum height of in-range bins in the Histogram.
maxBinHeight() - Method in class hep.aida.ref.histogram.Histogram2D
Get the maximum height of in-range bins in the Histogram.
maxBinHeight() - Method in class hep.aida.ref.histogram.Histogram3D
Get the maximum height of in-range bins in the Histogram.
maxBinHeight() - Method in class hep.aida.ref.histogram.Profile1D
 
maxBinHeight() - Method in class hep.aida.ref.histogram.Profile2D
 
maxBinHeight() - Method in class jhplot.H1D
Max value of all bins
maxBinHeight() - Method in class jhplot.HProf1D
Max value of all bins
maxEntries() - Method in class hep.aida.ref.histogram.Cloud
Get the maximum number of entries after which the Cloud will convert to an Histogram.
MaxEvaluationsExceededException - Exception in org.apache.commons.math
Error thrown when a numerical computation exceeds its allowed number of functions evaluations.
MaxEvaluationsExceededException(int) - Constructor for exception org.apache.commons.math.MaxEvaluationsExceededException
Constructs an exception with a default detail message.
MaxEvaluationsExceededException(int, String, Object...) - Constructor for exception org.apache.commons.math.MaxEvaluationsExceededException
Deprecated. as of 2.2 replaced by MaxEvaluationsExceededException.MaxEvaluationsExceededException(int, Localizable, Object...)
MaxEvaluationsExceededException(int, Localizable, Object...) - Constructor for exception org.apache.commons.math.MaxEvaluationsExceededException
Constructs an exception with specified formatted detail message.
maximum() - Method in class hep.aida.ref.tuple.AbstractTuple.AbstractTupleColumnFactory.BaseTupleColumn
 
maximum() - Method in class hep.aida.ref.tuple.TupleColumn
 
maxIndex(double[]) - Static method in class jhplot.math.ArrayMathUtils
returns the index of the greatest element from the given array
maxIndex(double[][]) - Static method in class jhplot.math.DoubleArray
Finds the indices of the minimum values in each column of a matrix.
maxIndex(double...) - Static method in class jhplot.math.DoubleArray
Finds the index of the maximum value in a list of values or an array.
maxIndex(int[][]) - Static method in class jhplot.math.IntegerArray
 
maxIndex(int...) - Static method in class jhplot.math.IntegerArray
 
MaxIterationsExceededException - Exception in org.apache.commons.math
Error thrown when a numerical computation exceeds its allowed number of iterations.
MaxIterationsExceededException(int) - Constructor for exception org.apache.commons.math.MaxIterationsExceededException
Constructs an exception with a default detail message.
MaxIterationsExceededException(int, String, Object...) - Constructor for exception org.apache.commons.math.MaxIterationsExceededException
Deprecated. as of 2.2 replaced by MaxIterationsExceededException.MaxIterationsExceededException(int, Localizable, Object...)
MaxIterationsExceededException(int, Localizable, Object...) - Constructor for exception org.apache.commons.math.MaxIterationsExceededException
Constructs an exception with specified formatted detail message.
maxScale - Variable in class jhplot.v3d.Model3d
 
maxValue(Value) - Method in class hep.aida.ref.tuple.AbstractTuple.AbstractTupleColumnFactory.BaseTupleColumn
 
maxValue(Value) - Method in interface hep.aida.ref.tuple.FTupleColumn
 
maxValue(Value) - Method in class hep.aida.ref.tuple.TupleColumn
 
MD5 - Class in jhplot.security
Get MD5 hash for any object or a file with data
MD5(Object) - Constructor for class jhplot.security.MD5
Initialize MD5 calculations
MD5(File) - Constructor for class jhplot.security.MD5
Initialize MD5 calculations for a file
MD5(String) - Static method in class jhplot.security.SimpleMD5
 
mdfft(Object, boolean) - Method in class org.apache.commons.math.transform.FastFourierTransformer
Performs a multi-dimensional Fourier transform on a given array.
mean(int[], int) - Method in interface hep.aida.ref.dataset.binner.Binner
Get the mean of a bin along a given coordinate.
mean(int[], int) - Method in class hep.aida.ref.dataset.binner.DefaultBinner
Get the mean of a bin along a given coordinate.
mean(int) - Method in class hep.aida.ref.dataset.DataStatistics
Get the mean for a given coordinate.
mean(int) - Method in class hep.aida.ref.histogram.binner.AbstractBinner1D
 
mean(int) - Method in interface hep.aida.ref.histogram.binner.Binner1D
 
mean() - Method in class hep.aida.ref.histogram.Cloud1D
Get the Cloud's mean.
mean() - Method in class hep.aida.ref.histogram.Histogram1D
Get the mean of the whole Histogram.
mean() - Method in class hep.aida.ref.histogram.Profile1D
 
mean() - Method in class hep.aida.ref.tuple.AbstractTuple.AbstractTupleColumnFactory.BaseTupleColumn
 
mean() - Method in class hep.aida.ref.tuple.TupleColumn
 
mean() - Method in class jhplot.H1D
Get mean of the histogram
mean() - Method in class jhplot.HProf1D
Get mean of the histogram
mean(double[]) - Static method in class jhplot.math.ArrayMathUtils
Computes the mean.
mean(int[]) - Static method in class jhplot.math.ArrayMathUtils
Computes the mean.
mean(double[]) - Static method in class jhplot.math.StatisticSample
Get mean value
mean(double[][]) - Static method in class jhplot.math.StatisticSample
Get mean
mean() - Method in class jhplot.P0D
Returns the mean value.
mean() - Method in class jhplot.P0I
Returns the mean value.
mean() - Method in class jhplot.P1D
Return the mean value
mean(int) - Method in class jhplot.P2D
Returns the mean value for any axis
mean(double[]) - Static method in class jhplot.stat.Statistics
Get mean value
mean(double[][]) - Static method in class jhplot.stat.Statistics
Get mean
Mean - Class in org.apache.commons.math.stat.descriptive.moment
Computes the arithmetic mean of a set of values.
Mean() - Constructor for class org.apache.commons.math.stat.descriptive.moment.Mean
Constructs a Mean.
Mean(FirstMoment) - Constructor for class org.apache.commons.math.stat.descriptive.moment.Mean
Constructs a Mean with an External Moment.
Mean(Mean) - Constructor for class org.apache.commons.math.stat.descriptive.moment.Mean
Copy constructor, creates a new Mean identical to the original
mean(double[]) - Static method in class org.apache.commons.math.stat.StatUtils
Returns the arithmetic mean of the entries in the input array, or Double.NaN if the array is empty.
mean(double[], int, int) - Static method in class org.apache.commons.math.stat.StatUtils
Returns the arithmetic mean of the entries in the specified portion of the input array, or Double.NaN if the designated subarray is empty.
meanDifference(double[], double[]) - Static method in class org.apache.commons.math.stat.StatUtils
Returns the mean of the (signed) differences between corresponding elements of the input arrays -- i.e., sum(sample1[i] - sample2[i]) / sample1.length.
meanValue(Value) - Method in class hep.aida.ref.tuple.AbstractTuple.AbstractTupleColumnFactory.BaseTupleColumn
 
meanValue(Value) - Method in interface hep.aida.ref.tuple.FTupleColumn
 
meanValue(Value) - Method in class hep.aida.ref.tuple.TupleColumn
 
meanX(int, int) - Method in class hep.aida.ref.histogram.binner.BasicBinner2D
 
meanX(int, int, int) - Method in class hep.aida.ref.histogram.binner.BasicBinner3D
 
meanX(int, int) - Method in interface hep.aida.ref.histogram.binner.Binner2D
 
meanX(int, int, int) - Method in interface hep.aida.ref.histogram.binner.Binner3D
 
meanX(int, int) - Method in class hep.aida.ref.histogram.binner.EfficiencyBinner2D
 
meanX(int, int, int) - Method in class hep.aida.ref.histogram.binner.EfficiencyBinner3D
 
meanX() - Method in class hep.aida.ref.histogram.Cloud2D
Get the Cloud's x mean.
meanX() - Method in class hep.aida.ref.histogram.Cloud3D
Get the Cloud's x mean.
meanX() - Method in class hep.aida.ref.histogram.Histogram2D
Get the mean of the whole Histogram as projected on the x axis.
meanX() - Method in class hep.aida.ref.histogram.Histogram3D
Get the mean of the whole Histogram as projected on the x axis.
meanX() - Method in class hep.aida.ref.histogram.Profile2D
 
meanX() - Method in class jhplot.P1D
Returns the mean value in X.
meanX() - Method in class jhplot.P2D
Returns the mean value in X.
meanX() - Method in class jhplot.P3D
Returns the mean value in X.
meanXerror() - Method in class jhplot.P1D
Returns the standard error of the mean values for X.
meanY(int, int) - Method in class hep.aida.ref.histogram.binner.BasicBinner2D
 
meanY(int, int, int) - Method in class hep.aida.ref.histogram.binner.BasicBinner3D
 
meanY(int, int) - Method in interface hep.aida.ref.histogram.binner.Binner2D
 
meanY(int, int, int) - Method in interface hep.aida.ref.histogram.binner.Binner3D
 
meanY(int, int) - Method in class hep.aida.ref.histogram.binner.EfficiencyBinner2D
 
meanY(int, int, int) - Method in class hep.aida.ref.histogram.binner.EfficiencyBinner3D
 
meanY() - Method in class hep.aida.ref.histogram.Cloud2D
Get the Cloud's y mean.
meanY() - Method in class hep.aida.ref.histogram.Cloud3D
Get the Cloud's y mean.
meanY() - Method in class hep.aida.ref.histogram.Histogram2D
Get the mean of the whole Histogram as projected on the y axis.
meanY() - Method in class hep.aida.ref.histogram.Histogram3D
Get the mean of the whole Histogram as projected on the y axis.
meanY() - Method in class hep.aida.ref.histogram.Profile2D
 
meanY() - Method in class jhplot.P1D
Returns the mean value in Y.
meanY() - Method in class jhplot.P2D
Returns the mean value in Y.
meanY() - Method in class jhplot.P3D
Returns the mean value in Y.
meanYerror() - Method in class jhplot.P1D
Returns the standard error of the mean values for Y.
meanZ(int, int, int) - Method in class hep.aida.ref.histogram.binner.BasicBinner3D
 
meanZ(int, int, int) - Method in interface hep.aida.ref.histogram.binner.Binner3D
 
meanZ(int, int, int) - Method in class hep.aida.ref.histogram.binner.EfficiencyBinner3D
 
meanZ() - Method in class hep.aida.ref.histogram.Cloud3D
Get the Cloud's z mean.
meanZ() - Method in class hep.aida.ref.histogram.Histogram3D
Get the mean of the whole Histogram as projected on the z axis.
meanZ() - Method in class jhplot.P2D
Returns the mean value in Z.
meanZ() - Method in class jhplot.P3D
Returns the mean value in Z.
Measurement - Class in hep.aida.ref.histogram
Basic user-level interface class for holding a single "measurement" with positive and negative errors (to allow for asymmetric errors).
Measurement() - Constructor for class hep.aida.ref.histogram.Measurement
 
Measurement(IMeasurement) - Constructor for class hep.aida.ref.histogram.Measurement
 
Measurement(double) - Constructor for class hep.aida.ref.histogram.Measurement
 
Measurement(double, double) - Constructor for class hep.aida.ref.histogram.Measurement
 
Measurement(double, double, double) - Constructor for class hep.aida.ref.histogram.Measurement
 
median(double[]) - Static method in class jhplot.math.ArrayMathUtils
Computes the median of an array.
median(int[]) - Static method in class jhplot.math.ArrayMathUtils
Computes the median of an array.
median() - Method in class jhplot.P0D
Returns the median.
median() - Method in class jhplot.P0I
Returns the median.
Median - Class in org.apache.commons.math.stat.descriptive.rank
Returns the median of the available values.
Median() - Constructor for class org.apache.commons.math.stat.descriptive.rank.Median
Default constructor.
Median(Median) - Constructor for class org.apache.commons.math.stat.descriptive.rank.Median
Copy constructor, creates a new Median identical to the original
merge(double[]...) - Static method in class jhplot.math.DoubleArray
Concatenates arrays.
merge(int[]...) - Static method in class jhplot.math.IntegerArray
 
merge(P0D) - Method in class jhplot.P0D
Merge two P0D containers
merge(P0I) - Method in class jhplot.P0I
Merge two P0I containers
merge(P1D) - Method in class jhplot.P1D
Merge two P1D containers.
merge(P2D) - Method in class jhplot.P2D
Merge two P2D containers
merge(P3D) - Method in class jhplot.P3D
Merge two P3D containers
mergeColumns(double[]...) - Static method in class jhplot.math.DoubleArray
Combine a set of arrays into a matrix.
mergeColumns(int[]...) - Static method in class jhplot.math.IntegerArray
 
mergeRows(double[]...) - Static method in class jhplot.math.DoubleArray
Combine a set of arrays into a matrix.
mergeRows(int[]...) - Static method in class jhplot.math.IntegerArray
 
MersenneTwister - Class in org.apache.commons.math.random
This class implements a powerful pseudo-random number generator developed by Makoto Matsumoto and Takuji Nishimura during 1996-1997.
MersenneTwister() - Constructor for class org.apache.commons.math.random.MersenneTwister
Creates a new random number generator.
MersenneTwister(int) - Constructor for class org.apache.commons.math.random.MersenneTwister
Creates a new random number generator using a single int seed.
MersenneTwister(int[]) - Constructor for class org.apache.commons.math.random.MersenneTwister
Creates a new random number generator using an int array seed.
MersenneTwister(long) - Constructor for class org.apache.commons.math.random.MersenneTwister
Creates a new random number generator using a single long seed.
MessageFactory - Class in org.apache.commons.math.exception.util
Class for constructing localized messages.
metropolis(double[], F1D, double) - Static method in class jhplot.math.Numeric
The Metropolis algorithm.
MicrosphereInterpolatingFunction - Class in org.apache.commons.math.analysis.interpolation
Interpolating function that implements the Microsphere Projection.
MicrosphereInterpolatingFunction(double[][], double[], int, int, UnitSphereRandomVectorGenerator) - Constructor for class org.apache.commons.math.analysis.interpolation.MicrosphereInterpolatingFunction
 
MicrosphereInterpolator - Class in org.apache.commons.math.analysis.interpolation
Interpolator that implements the algorithm described in William Dudziak's MS thesis.
MicrosphereInterpolator() - Constructor for class org.apache.commons.math.analysis.interpolation.MicrosphereInterpolator
Create a microsphere interpolator with default settings.
MicrosphereInterpolator(int, int) - Constructor for class org.apache.commons.math.analysis.interpolation.MicrosphereInterpolator
Create a microsphere interpolator.
midpoint(double, double) - Static method in class org.apache.commons.math.analysis.solvers.UnivariateRealSolverUtils
Compute the midpoint of two values.
MidpointIntegrator - Class in org.apache.commons.math.ode.nonstiff
This class implements a second order Runge-Kutta integrator for Ordinary Differential Equations.
MidpointIntegrator(double) - Constructor for class org.apache.commons.math.ode.nonstiff.MidpointIntegrator
Simple constructor.
min(double[]) - Static method in class jhplot.math.ArrayMathUtils
Returns the minimum of an array.
min(double[][]) - Static method in class jhplot.math.ArrayMathUtils
Returns the minimum of an array.
min(int[]) - Static method in class jhplot.math.ArrayMathUtils
Returns the minimum of an array.
min(int[][]) - Static method in class jhplot.math.ArrayMathUtils
Returns the minimum of an array.
min(double[][]) - Static method in class jhplot.math.DoubleArray
Finds the minimum value in each column of a matrix.
min(double...) - Static method in class jhplot.math.DoubleArray
Finds minimum value in either a list of numbers or a single array.
min(int[][]) - Static method in class jhplot.math.IntegerArray
 
min(int...) - Static method in class jhplot.math.IntegerArray
 
Min - Class in org.apache.commons.math.stat.descriptive.rank
Returns the minimum of the available values.
Min() - Constructor for class org.apache.commons.math.stat.descriptive.rank.Min
Create a Min instance
Min(Min) - Constructor for class org.apache.commons.math.stat.descriptive.rank.Min
Copy constructor, creates a new Min identical to the original
min(double[]) - Static method in class org.apache.commons.math.stat.StatUtils
Returns the minimum of the entries in the input array, or Double.NaN if the array is empty.
min(double[], int, int) - Static method in class org.apache.commons.math.stat.StatUtils
Returns the minimum of the entries in the specified portion of the input array, or Double.NaN if the designated subarray is empty.
min(int, int) - Static method in class org.apache.commons.math.util.FastMath
Compute the minimum of two values
min(long, long) - Static method in class org.apache.commons.math.util.FastMath
Compute the minimum of two values
min(float, float) - Static method in class org.apache.commons.math.util.FastMath
Compute the minimum of two values
min(double, double) - Static method in class org.apache.commons.math.util.FastMath
Compute the minimum of two values
MIN_EXP - Static variable in class org.apache.commons.math.dfp.Dfp
The minimum exponent before underflow is signaled.
minBinHeight() - Method in class hep.aida.ref.histogram.Histogram
Get the minimum height of in-range bins in the Histogram.
minBinHeight() - Method in class hep.aida.ref.histogram.Histogram1D
Get the minimum height of in-range bins in the Histogram.
minBinHeight() - Method in class hep.aida.ref.histogram.Histogram2D
Get the minimum height of in-range bins in the Histogram.
minBinHeight() - Method in class hep.aida.ref.histogram.Histogram3D
Get the minimum height of in-range bins in the Histogram.
minBinHeight() - Method in class hep.aida.ref.histogram.Profile1D
 
minBinHeight() - Method in class hep.aida.ref.histogram.Profile2D
 
minBinHeight() - Method in class jhplot.H1D
Min value of all bins
minBinHeight() - Method in class jhplot.HProf1D
Min value of all bins
minimum() - Method in class hep.aida.ref.tuple.AbstractTuple.AbstractTupleColumnFactory.BaseTupleColumn
 
minimum() - Method in class hep.aida.ref.tuple.TupleColumn
 
minimumSize() - Method in class jhplot.v3d.Canvas3d
 
minIndex(double[]) - Static method in class jhplot.math.ArrayMathUtils
returns the index of the smallest element from the given array
minIndex(double[][]) - Static method in class jhplot.math.DoubleArray
Finds the indices of the minimum values in each column of a matrix.
minIndex(double...) - Static method in class jhplot.math.DoubleArray
Finds the index of the minumum value in a list of values or an array.
minIndex(int[][]) - Static method in class jhplot.math.IntegerArray
 
minIndex(int...) - Static method in class jhplot.math.IntegerArray
 
minScale - Variable in class jhplot.v3d.Model3d
 
minus(Complex) - Method in class jhplot.math.Complex
Subtraction of Complex numbers (doesn't change this Complex number).
minus(double[], double[]) - Static method in class jhplot.math.LinearAlgebra
Element-wise subtraction of two arrays.
minus(double[], double) - Static method in class jhplot.math.LinearAlgebra
Subtracts a scalar value from each element of an array
minus(double, double[]) - Static method in class jhplot.math.LinearAlgebra
Subtracts each element of an array from a scalar value.
minus(double[][], double[][]) - Static method in class jhplot.math.LinearAlgebra
Element-wise subtraction of two matrices.
minus(double[][], double) - Static method in class jhplot.math.LinearAlgebra
Subtract a scalar from each element of a matrix.
minus(double, double[][]) - Static method in class jhplot.math.LinearAlgebra
Subtract each element of a matrix from a scalar.
minus(ValueErr, double) - Method in class jhplot.math.ValueErr
Subtract an ValueErr number from this ValueErr number with correlation
minus(ValueErr, ValueErr, double) - Static method in class jhplot.math.ValueErr
Subtract ValueErr number b from ValueErr number a with correlation
minus(ValueErr) - Method in class jhplot.math.ValueErr
Subtract a ValueErr number from this ValueErr number without correlation
minus(ValueErr, ValueErr) - Static method in class jhplot.math.ValueErr
Subtract ValueErr number b from ValueErr number without correlation
minus(double) - Method in class jhplot.math.ValueErr
Subtract an error free double number from this ValueErr number.
minus(double, ValueErr) - Static method in class jhplot.math.ValueErr
Subtract a ValueErr number b from an error free double
minus(double, double) - Static method in class jhplot.math.ValueErr
Subtract an error free double number b from an error free double a and return sum as ValueErr
MINUS_I - Static variable in class org.apache.commons.math.geometry.Vector3D
Opposite of the first canonical vector (coordinates: -1, 0, 0).
MINUS_INF() - Method in class hep.aida.ref.function.RangeSet
 
MINUS_J - Static variable in class org.apache.commons.math.geometry.Vector3D
Opposite of the second canonical vector (coordinates: 0, -1, 0).
MINUS_K - Static variable in class org.apache.commons.math.geometry.Vector3D
Opposite of the third canonical vector (coordinates: 0, 0, -1).
MINUS_ONE - Static variable in class org.apache.commons.math.fraction.BigFraction
A fraction representing "-1 / 1".
MINUS_ONE - Static variable in class org.apache.commons.math.fraction.Fraction
A fraction representing "-1 / 1".
minusEquals(ValueErr, double) - Method in class jhplot.math.ValueErr
Subtract a ValueErr number to this ValueErr number and replace this with the sum with correlation
minusEquals(ValueErr) - Method in class jhplot.math.ValueErr
Subtract a ValueErr number from this ValueErr number and replace this with the sum with no correlation
minusEquals(double) - Method in class jhplot.math.ValueErr
Subtract a double number from this ValueErr number and replace this with the sum
minusError(int, double) - Method in interface hep.aida.ref.dataset.binner.BinError
Get the minus error on a bin.
minusError(int[]) - Method in interface hep.aida.ref.dataset.binner.Binner
Get the minus error on a bin.
minusError(int[]) - Method in class hep.aida.ref.dataset.binner.DefaultBinner
Get the minus error on a bin.
minusError(int, double) - Method in class hep.aida.ref.dataset.binner.EfficiencyBinError
Get the minus error on a bin.
minusError(int, double) - Method in class hep.aida.ref.dataset.binner.GaussianBinError
Get the minus error on a bin.
minusError(int, double) - Method in class hep.aida.ref.dataset.binner.PoissonBinError
Get the minus error on a bin.
minusError() - Method in class hep.aida.ref.fitter.fitdata.FitDataIterator
 
minusError(int) - Method in class hep.aida.ref.histogram.binner.BasicBinner1D
 
minusError(int, int) - Method in class hep.aida.ref.histogram.binner.BasicBinner2D
 
minusError(int, int, int) - Method in class hep.aida.ref.histogram.binner.BasicBinner3D
 
minusError(int) - Method in interface hep.aida.ref.histogram.binner.Binner1D
 
minusError(int, int) - Method in interface hep.aida.ref.histogram.binner.Binner2D
 
minusError(int, int, int) - Method in interface hep.aida.ref.histogram.binner.Binner3D
 
minusError(int) - Method in class hep.aida.ref.histogram.binner.EfficiencyBinner1D
 
minusError(int, int) - Method in class hep.aida.ref.histogram.binner.EfficiencyBinner2D
 
minusError(int, int, int) - Method in class hep.aida.ref.histogram.binner.EfficiencyBinner3D
 
minusReal(double) - Method in class jhplot.math.Complex
Subtraction from real part
minValue(Value) - Method in class hep.aida.ref.tuple.AbstractTuple.AbstractTupleColumnFactory.BaseTupleColumn
 
minValue(Value) - Method in interface hep.aida.ref.tuple.FTupleColumn
 
minValue(Value) - Method in class hep.aida.ref.tuple.TupleColumn
 
mkdir(String) - Method in class hep.aida.ref.tree.Tree
Create a new directory.
mkdirs(String) - Method in class hep.aida.ref.tree.Tree
Create a directory recursively.
mod() - Method in class jhplot.math.Complex
Modulus of this Complex number (the distance from the origin in polar coordinates).
Model3d - Class in jhplot.v3d
 
Model3d(Applet, int, int) - Constructor for class jhplot.v3d.Model3d
 
modifyName(String) - Static method in class hep.aida.ref.AidaUtils
 
moment(int, double) - Method in class jhplot.P0D
Returns the moment of k-th order with value c, which is Sum( (x[i]-c)k ) / size().
moment(int, Integer) - Method in class jhplot.P0I
Returns the moment of k-th order with value c, which is Sum( (x[i]-c)k ) / size().
Moments - Class in jhpro.stat
Calculations of moments of a distribution.
Moments(int) - Constructor for class jhpro.stat.Moments
Initialization of the moments.
MomentsFac - Class in jhpro.stat
Calculations of factorial moments of a distribution.
MomentsFac(int) - Constructor for class jhpro.stat.MomentsFac
Initialization of the factorial moments.
MomentsFacNorm - Class in jhpro.stat
Calculations of normalized factorial moments of a distribution.
MomentsFacNorm(int) - Constructor for class jhpro.stat.MomentsFacNorm
Initialization of the normalised factorial moments.
MomentsNorm - Class in jhpro.stat
Calculations of normalized reduced moments of a distribution.
MomentsNorm(int) - Constructor for class jhpro.stat.MomentsNorm
Initialization of the normalised factorial moments.
mount(String, ITree, String) - Method in class hep.aida.ref.tree.Tree
Mounts a tree within another (target) tree.
MountPoint - Class in hep.aida.ref.tree
A mount point allows one tree to be "mounted" in another.
mouseDown(Event, int, int) - Method in class jhplot.v3d.Animation
 
MOVE - Static variable in class jhplot.jadraw.JaObject
An integer that indicates the current edit mode MOVE.
move(String, String) - Method in class jhplot.P1D
Transform a P1D data holder to some function with error propagation (for both levels)
moveBy(int, int) - Method in class jhplot.jadraw.JaArcObject
Shifts the elements of the vector containing the three click points of this arc.
moveBy(int, int) - Method in class jhplot.jadraw.JaObject
Reset the x, and y coordinates of the object when it is moved by deltaX and deltaY.
moveBy(int, int) - Method in class jhplot.jadraw.JaVertexT5
Shifts the elements of the vector containing the three corner points of this vertex.
MoyalCoreNotNorm - Class in hep.aida.ref.function
 
MoyalCoreNotNorm(String) - Constructor for class hep.aida.ref.function.MoyalCoreNotNorm
 
MoyalCoreNotNorm(String, double[]) - Constructor for class hep.aida.ref.function.MoyalCoreNotNorm
 
mt() - Method in class hephysics.vec.HepLorentzVector
Transverse mass.
mt2() - Method in class hephysics.vec.HepLorentzVector
Transverse mass: e()*e() - pz()*pz()
mul(Binner1D, Binner1D, Binner1D) - Static method in class hep.aida.ref.histogram.binner.BinnerMath
 
mul(Vector3d) - Method in class jhplot.v3d.Vector3d
 
mul(float) - Method in class jhplot.v3d.Vector3d
 
mulAndCheck(int, int) - Static method in class org.apache.commons.math.util.MathUtils
Multiply two integers, checking for overflow.
mulAndCheck(long, long) - Static method in class org.apache.commons.math.util.MathUtils
Multiply two long integers, checking for overflow.
mulipliedEntriesWith(Matrix) - Method in class jhplot.bsom.Matrix
Multiply entries.
MullerSolver - Class in org.apache.commons.math.analysis.solvers
Implements the Muller's Method for root finding of real univariate functions.
MullerSolver(UnivariateRealFunction) - Constructor for class org.apache.commons.math.analysis.solvers.MullerSolver
Deprecated. as of 2.0 the function to solve is passed as an argument to the MullerSolver.solve(UnivariateRealFunction, double, double) or UnivariateRealSolver.solve(UnivariateRealFunction, double, double, double) method.
MullerSolver() - Constructor for class org.apache.commons.math.analysis.solvers.MullerSolver
Deprecated. in 2.2 (to be removed in 3.0).
mult(Hep3Matrix, Hep3Matrix) - Static method in class hephysics.vec.Hep3Matrix
 
mult(double, Hep3Vector) - Method in class hephysics.vec.Hep3Vector
Multiply by a scaler
mult(double) - Method in class hephysics.vec.Hep3Vector
Multiply by a scaler
mult(Hep3Matrix, Hep3Vector) - Method in class hephysics.vec.Hep3Vector
 
mult(double, HepLorentzVector) - Method in class hephysics.vec.HepLorentzVector
Multiply by a scaler
mult(double, Hep3Vector) - Static method in class hephysics.vec.VecOp
 
mult(Hep3Matrix, Hep3Vector) - Static method in class hephysics.vec.VecOp
 
mult(Hep3Matrix, Hep3Matrix) - Static method in class hephysics.vec.VecOp
 
mult(double, Hep3Matrix) - Static method in class hephysics.vec.VecOp
 
MultidimensionalCounter - Class in org.apache.commons.math.util
Converter between unidimensional storage structure and multidimensional conceptual structure.
MultidimensionalCounter(int...) - Constructor for class org.apache.commons.math.util.MultidimensionalCounter
Create a counter.
MultidimensionalCounter.Iterator - Class in org.apache.commons.math.util
Perform iteration over the multidimensional counter.
MultiDirectional - Class in org.apache.commons.math.optimization.direct
This class implements the multi-directional direct search method.
MultiDirectional() - Constructor for class org.apache.commons.math.optimization.direct.MultiDirectional
Build a multi-directional optimizer with default coefficients.
MultiDirectional(double, double) - Constructor for class org.apache.commons.math.optimization.direct.MultiDirectional
Build a multi-directional optimizer with specified coefficients.
MultipleLinearRegression - Interface in org.apache.commons.math.stat.regression
The multiple linear regression can be represented in matrix-notation.
MULTIPLICATIVE_MODE - Static variable in class org.apache.commons.math.util.ResizableDoubleArray
multiplicative expansion mode
multipliedBy(double) - Method in class jhplot.bsom.Matrix
Scalar product: aX.
multipliedBy(Matrix) - Method in class jhplot.bsom.Matrix
Matrix multiplication: X*Y.
multiply(String, IDataPointSet, IDataPointSet) - Method in class hep.aida.ref.histogram.DataPointSetFactory
 
multiply(String, IHistogram1D, IHistogram1D) - Method in class hep.aida.ref.histogram.HistogramFactory
Multiplies two 1D Histogram
multiply(String, IHistogram2D, IHistogram2D) - Method in class hep.aida.ref.histogram.HistogramFactory
Multiplies two 2D Histogram
multiply(String, IHistogram3D, IHistogram3D) - Method in class hep.aida.ref.histogram.HistogramFactory
Multiplies two 3D Histogram
MULTIPLY - Static variable in class org.apache.commons.math.analysis.BinaryFunction
Deprecated. The * operator method wrapped as a BinaryFunction.
multiply(UnivariateRealFunction) - Method in class org.apache.commons.math.analysis.ComposableFunction
Return a function multiplying the instance and another function.
multiply(double) - Method in class org.apache.commons.math.analysis.ComposableFunction
Return a function scaling the instance by a constant factor.
multiply(PolynomialFunction) - Method in class org.apache.commons.math.analysis.polynomials.PolynomialFunction
Multiply the instance by a polynomial.
multiply(Complex) - Method in class org.apache.commons.math.complex.Complex
Return the product of this complex number and the given complex number.
multiply(double) - Method in class org.apache.commons.math.complex.Complex
Return the product of this complex number and the given scalar number.
multiply(Dfp) - Method in class org.apache.commons.math.dfp.Dfp
Multiply this by x.
multiply(int) - Method in class org.apache.commons.math.dfp.Dfp
Multiply this by a single digit 0<=x<radix.
multiply(T) - Method in interface org.apache.commons.math.FieldElement
Compute this × a.
multiply(BigInteger) - Method in class org.apache.commons.math.fraction.BigFraction
Multiplies the value of this fraction by the passed BigInteger, returning the result in reduced form.
multiply(int) - Method in class org.apache.commons.math.fraction.BigFraction
Multiply the value of this fraction by the passed int, returning the result in reduced form.
multiply(long) - Method in class org.apache.commons.math.fraction.BigFraction
Multiply the value of this fraction by the passed long, returning the result in reduced form.
multiply(BigFraction) - Method in class org.apache.commons.math.fraction.BigFraction
Multiplies the value of this fraction by another, returning the result in reduced form.
multiply(Fraction) - Method in class org.apache.commons.math.fraction.Fraction
Multiplies the value of this fraction by another, returning the result in reduced form.
multiply(int) - Method in class org.apache.commons.math.fraction.Fraction
Multiply the fraction by an integer.
multiply(FieldMatrix<T>) - Method in class org.apache.commons.math.linear.AbstractFieldMatrix
Returns the result of postmultiplying this by m.
multiply(RealMatrix) - Method in class org.apache.commons.math.linear.AbstractRealMatrix
Returns the result of postmultiplying this by m.
multiply(FieldMatrix<T>) - Method in class org.apache.commons.math.linear.Array2DRowFieldMatrix
Returns the result of postmultiplying this by m.
multiply(Array2DRowFieldMatrix<T>) - Method in class org.apache.commons.math.linear.Array2DRowFieldMatrix
Returns the result of postmultiplying this by m.
multiply(RealMatrix) - Method in class org.apache.commons.math.linear.Array2DRowRealMatrix
Returns the result of postmultiplying this by m.
multiply(Array2DRowRealMatrix) - Method in class org.apache.commons.math.linear.Array2DRowRealMatrix
Returns the result of postmultiplying this by m.
multiply(BigMatrix) - Method in interface org.apache.commons.math.linear.BigMatrix
Deprecated. Returns the result of postmultiplying this by m.
multiply(BigMatrix) - Method in class org.apache.commons.math.linear.BigMatrixImpl
Deprecated. Returns the result of postmultiplying this by m.
multiply(BigMatrixImpl) - Method in class org.apache.commons.math.linear.BigMatrixImpl
Deprecated. Returns the result of postmultiplying this by m.
multiply(FieldMatrix<T>) - Method in class org.apache.commons.math.linear.BlockFieldMatrix
Returns the result of postmultiplying this by m.
multiply(BlockFieldMatrix<T>) - Method in class org.apache.commons.math.linear.BlockFieldMatrix
Returns the result of postmultiplying this by m.
multiply(RealMatrix) - Method in class org.apache.commons.math.linear.BlockRealMatrix
Returns the result of postmultiplying this by m.
multiply(BlockRealMatrix) - Method in class org.apache.commons.math.linear.BlockRealMatrix
Returns the result of postmultiplying this by m.
multiply(FieldMatrix<T>) - Method in interface org.apache.commons.math.linear.FieldMatrix
Returns the result of postmultiplying this by m.
multiply(RealMatrix) - Method in class org.apache.commons.math.linear.OpenMapRealMatrix
Returns the result of postmultiplying this by m.
multiply(OpenMapRealMatrix) - Method in class org.apache.commons.math.linear.OpenMapRealMatrix
Returns the result of postmultiplying this by m.
multiply(RealMatrix) - Method in interface org.apache.commons.math.linear.RealMatrix
Returns the result of postmultiplying this by m.
multiply(RealMatrix) - Method in class org.apache.commons.math.linear.RealMatrixImpl
Deprecated. Returns the result of postmultiplying this by m.
multiply(RealMatrixImpl) - Method in class org.apache.commons.math.linear.RealMatrixImpl
Deprecated. Returns the result of postmultiplying this by m.
multiply(BigReal) - Method in class org.apache.commons.math.util.BigReal
Compute this × a.
multiplyEntry(int, int, T) - Method in class org.apache.commons.math.linear.AbstractFieldMatrix
Change an entry in the specified row and column.
multiplyEntry(int, int, double) - Method in class org.apache.commons.math.linear.AbstractRealMatrix
Change an entry in the specified row and column.
multiplyEntry(int, int, T) - Method in class org.apache.commons.math.linear.Array2DRowFieldMatrix
Change an entry in the specified row and column.
multiplyEntry(int, int, double) - Method in class org.apache.commons.math.linear.Array2DRowRealMatrix
Change an entry in the specified row and column.
multiplyEntry(int, int, T) - Method in class org.apache.commons.math.linear.BlockFieldMatrix
Change an entry in the specified row and column.
multiplyEntry(int, int, double) - Method in class org.apache.commons.math.linear.BlockRealMatrix
Change an entry in the specified row and column.
multiplyEntry(int, int, T) - Method in interface org.apache.commons.math.linear.FieldMatrix
Change an entry in the specified row and column.
multiplyEntry(int, int, double) - Method in class org.apache.commons.math.linear.OpenMapRealMatrix
Change an entry in the specified row and column.
multiplyEntry(int, int, double) - Method in interface org.apache.commons.math.linear.RealMatrix
Change an entry in the specified row and column.
multiplyEntry(int, int, double) - Method in class org.apache.commons.math.linear.RealMatrixImpl
Deprecated. Change an entry in the specified row and column.
multiplyEntry(int, int, T) - Method in class org.apache.commons.math.linear.SparseFieldMatrix
Change an entry in the specified row and column.
MultiStartDifferentiableMultivariateRealOptimizer - Class in org.apache.commons.math.optimization
Special implementation of the DifferentiableMultivariateRealOptimizer interface adding multi-start features to an existing optimizer.
MultiStartDifferentiableMultivariateRealOptimizer(DifferentiableMultivariateRealOptimizer, int, RandomVectorGenerator) - Constructor for class org.apache.commons.math.optimization.MultiStartDifferentiableMultivariateRealOptimizer
Create a multi-start optimizer from a single-start optimizer
MultiStartDifferentiableMultivariateVectorialOptimizer - Class in org.apache.commons.math.optimization
Special implementation of the DifferentiableMultivariateVectorialOptimizer interface adding multi-start features to an existing optimizer.
MultiStartDifferentiableMultivariateVectorialOptimizer(DifferentiableMultivariateVectorialOptimizer, int, RandomVectorGenerator) - Constructor for class org.apache.commons.math.optimization.MultiStartDifferentiableMultivariateVectorialOptimizer
Create a multi-start optimizer from a single-start optimizer
MultiStartMultivariateRealOptimizer - Class in org.apache.commons.math.optimization
Special implementation of the MultivariateRealOptimizer interface adding multi-start features to an existing optimizer.
MultiStartMultivariateRealOptimizer(MultivariateRealOptimizer, int, RandomVectorGenerator) - Constructor for class org.apache.commons.math.optimization.MultiStartMultivariateRealOptimizer
Create a multi-start optimizer from a single-start optimizer
MultiStartUnivariateRealOptimizer - Class in org.apache.commons.math.optimization
Special implementation of the UnivariateRealOptimizer interface adding multi-start features to an existing optimizer.
MultiStartUnivariateRealOptimizer(UnivariateRealOptimizer, int, RandomGenerator) - Constructor for class org.apache.commons.math.optimization.MultiStartUnivariateRealOptimizer
Create a multi-start optimizer from a single-start optimizer
MultistepIntegrator - Class in org.apache.commons.math.ode
This class is the base class for multistep integrators for Ordinary Differential Equations.
MultistepIntegrator.NordsieckTransformer - Interface in org.apache.commons.math.ode
Transformer used to convert the first step to Nordsieck representation.
MultivariateMatrixFunction - Interface in org.apache.commons.math.analysis
An interface representing a multivariate matrix function.
MultivariateRealFunction - Interface in org.apache.commons.math.analysis
An interface representing a multivariate real function.
MultivariateRealInterpolator - Interface in org.apache.commons.math.analysis.interpolation
Interface representing a univariate real interpolating function.
MultivariateRealOptimizer - Interface in org.apache.commons.math.optimization
This interface represents an optimization algorithm for scalar objective functions.
MultivariateSummaryStatistics - Class in org.apache.commons.math.stat.descriptive
Computes summary statistics for a stream of n-tuples added using the addValue method.
MultivariateSummaryStatistics(int, boolean) - Constructor for class org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics
Construct a MultivariateSummaryStatistics instance
MultivariateVectorialFunction - Interface in org.apache.commons.math.analysis
An interface representing a multivariate vectorial function.
mutate(Chromosome) - Method in class org.apache.commons.math.genetics.BinaryMutation
Mutate the given chromosome.
mutate(Chromosome) - Method in interface org.apache.commons.math.genetics.MutationPolicy
Mutate the given chromosome.
mutate(Chromosome) - Method in class org.apache.commons.math.genetics.RandomKeyMutation
Mutate the given chromosome.
MutationPolicy - Interface in org.apache.commons.math.genetics
Algorithm used to mutate a chrommosome.
mv(String, String) - Method in class hep.aida.ref.tree.Tree
Move an IManagedObject or a directory from one directory to another.

N

name() - Method in class hep.aida.ref.fitter.FitParameterSettings
 
name() - Method in class hep.aida.ref.ManagedObject
Get the name of this ManagedObject.
name() - Method in class hep.aida.ref.tree.Tree
 
name() - Method in class hep.aida.ref.tuple.AbstractTuple.AbstractTupleColumnFactory.BaseTupleColumn
 
name() - Method in interface hep.aida.ref.tuple.FTuple
 
name() - Method in class hep.aida.ref.tuple.FTupleAdapter
 
name() - Method in interface hep.aida.ref.tuple.FTupleColumn
 
name() - Method in class hep.aida.ref.tuple.TupleColumn
 
NaN - Static variable in class org.apache.commons.math.complex.Complex
A complex number representing "NaN + NaNi"
NaN - Static variable in class org.apache.commons.math.geometry.Vector3D
A vector with all coordinates set to NaN.
nanEntries() - Method in class hep.aida.ref.histogram.AbstractBaseHistogram
Number of entries whose coordinate or weight is NaN.
nanEntries() - Method in class hep.aida.ref.histogram.Cloud
 
nanEntries() - Method in class hep.aida.ref.histogram.Histogram
 
nanEntries() - Method in class hep.aida.ref.histogram.Profile
 
NaNStrategy - Enum in org.apache.commons.math.stat.ranking
Strategies for handling NaN values in rank transformations.
NaturalRanking - Class in org.apache.commons.math.stat.ranking
Ranking based on the natural ordering on doubles.
NaturalRanking() - Constructor for class org.apache.commons.math.stat.ranking.NaturalRanking
Create a NaturalRanking with default strategies for handling ties and NaNs.
NaturalRanking(TiesStrategy) - Constructor for class org.apache.commons.math.stat.ranking.NaturalRanking
Create a NaturalRanking with the given TiesStrategy.
NaturalRanking(NaNStrategy) - Constructor for class org.apache.commons.math.stat.ranking.NaturalRanking
Create a NaturalRanking with the given NaNStrategy.
NaturalRanking(NaNStrategy, TiesStrategy) - Constructor for class org.apache.commons.math.stat.ranking.NaturalRanking
Create a NaturalRanking with the given NaNStrategy and TiesStrategy.
NaturalRanking(RandomGenerator) - Constructor for class org.apache.commons.math.stat.ranking.NaturalRanking
Create a NaturalRanking with TiesStrategy.RANDOM and the given RandomGenerator as the source of random data.
NaturalRanking(NaNStrategy, RandomGenerator) - Constructor for class org.apache.commons.math.stat.ranking.NaturalRanking
Create a NaturalRanking with the given NaNStrategy, TiesStrategy.RANDOM and the given source of random data.
nBins() - Method in class hep.aida.ref.function.Grid
 
nBoxes() - Method in class hep.aida.ref.function.Grid
 
ndf() - Method in class hep.aida.ref.fitter.FitResult
 
neg(Hep3Vector) - Method in class hephysics.vec.Hep3Vector
Invert
neg(HepLorentzVector) - Method in class hephysics.vec.HepLorentzVector
Inverse
neg(Hep3Vector) - Method in class hephysics.vec.HepLorentzVector
 
neg(Hep3Vector) - Static method in class hephysics.vec.VecOp
 
NEGATE - Static variable in class org.apache.commons.math.analysis.ComposableFunction
The - operator wrapped as a ComposableFunction.
negate() - Method in class org.apache.commons.math.analysis.polynomials.PolynomialFunction
Negate the instance.
negate() - Method in class org.apache.commons.math.complex.Complex
Return the additive inverse of this complex number.
negate() - Method in class org.apache.commons.math.dfp.Dfp
Returns a number that is this number with the sign bit reversed.
negate() - Method in class org.apache.commons.math.fraction.BigFraction
Return the additive inverse of this fraction, returning the result in reduced form.
negate() - Method in class org.apache.commons.math.fraction.Fraction
Return the additive inverse of this fraction.
negate() - Method in class org.apache.commons.math.geometry.Vector3D
Get the opposite of the instance.
NEGATIVE_INFINITY - Static variable in class org.apache.commons.math.geometry.Vector3D
A vector with all coordinates set to negative infinity.
NegativeBinomial - Class in jhplot.fit
Negative binomial distribution.
NegativeBinomial() - Constructor for class jhplot.fit.NegativeBinomial
 
NegativeBinomial(String) - Constructor for class jhplot.fit.NegativeBinomial
 
NegativeBinomial(String[], String[]) - Constructor for class jhplot.fit.NegativeBinomial
 
NegativeBinomial - Class in jhplot.math.num.pdf
The Negative Binomial distribution.
NegativeBinomial() - Constructor for class jhplot.math.num.pdf.NegativeBinomial
Default constructor.
NegativeBinomial(int, double) - Constructor for class jhplot.math.num.pdf.NegativeBinomial
Create a distribution with the given number of successes and probability of success.
NegativeBinomialRandomVariable - Class in jhplot.math.num.random
A random variable generator for the Negative Binomial distribution.
NegativeBinomialRandomVariable() - Constructor for class jhplot.math.num.random.NegativeBinomialRandomVariable
Default constructor.
NegativeBinomialRandomVariable(int, double) - Constructor for class jhplot.math.num.random.NegativeBinomialRandomVariable
Create a random variable with the given number of successes and probability of success.
NegativeBinomialRandomVariable(int, double, RNG) - Constructor for class jhplot.math.num.random.NegativeBinomialRandomVariable
Create a random variable with the given parameters.
NelderMead - Class in org.apache.commons.math.optimization.direct
This class implements the Nelder-Mead direct search method.
NelderMead() - Constructor for class org.apache.commons.math.optimization.direct.NelderMead
Build a Nelder-Mead optimizer with default coefficients.
NelderMead(double, double, double, double) - Constructor for class org.apache.commons.math.optimization.direct.NelderMead
Build a Nelder-Mead optimizer with specified coefficients.
NevilleInterpolator - Class in org.apache.commons.math.analysis.interpolation
Implements the Neville's Algorithm for interpolation of real univariate functions.
NevilleInterpolator() - Constructor for class org.apache.commons.math.analysis.interpolation.NevilleInterpolator
 
newBisectionSolver() - Method in class org.apache.commons.math.analysis.solvers.UnivariateRealSolverFactory
Create a new UnivariateRealSolver.
newBisectionSolver() - Method in class org.apache.commons.math.analysis.solvers.UnivariateRealSolverFactoryImpl
Create a new UnivariateRealSolver.
newBrentSolver() - Method in class org.apache.commons.math.analysis.solvers.UnivariateRealSolverFactory
Create a new UnivariateRealSolver.
newBrentSolver() - Method in class org.apache.commons.math.analysis.solvers.UnivariateRealSolverFactoryImpl
Create a new UnivariateRealSolver.
newDefaultSolver() - Method in class org.apache.commons.math.analysis.solvers.UnivariateRealSolverFactory
Create a new UnivariateRealSolver.
newDefaultSolver() - Method in class org.apache.commons.math.analysis.solvers.UnivariateRealSolverFactoryImpl
Create a new UnivariateRealSolver.
newDfp() - Method in class org.apache.commons.math.dfp.DfpField
Makes a Dfp with a value of 0.
newDfp(byte) - Method in class org.apache.commons.math.dfp.DfpField
Create an instance from a byte value.
newDfp(int) - Method in class org.apache.commons.math.dfp.DfpField
Create an instance from an int value.
newDfp(long) - Method in class org.apache.commons.math.dfp.DfpField
Create an instance from a long value.
newDfp(double) - Method in class org.apache.commons.math.dfp.DfpField
Create an instance from a double value.
newDfp(Dfp) - Method in class org.apache.commons.math.dfp.DfpField
Copy constructor.
newDfp(String) - Method in class org.apache.commons.math.dfp.DfpField
Create a Dfp given a String representation.
newDfp(byte, byte) - Method in class org.apache.commons.math.dfp.DfpField
Creates a Dfp with a non-finite value.
newFixedLengthChromosome(List<T>) - Method in class org.apache.commons.math.genetics.AbstractListChromosome
Creates a new instance of the same class as this is, with a given arrayRepresentation.
newInstance() - Static method in class org.apache.commons.math.analysis.solvers.UnivariateRealSolverFactory
Create a new factory.
newInstance() - Method in class org.apache.commons.math.dfp.Dfp
Create an instance with a value of 0.
newInstance(byte) - Method in class org.apache.commons.math.dfp.Dfp
Create an instance from a byte value.
newInstance(int) - Method in class org.apache.commons.math.dfp.Dfp
Create an instance from an int value.
newInstance(long) - Method in class org.apache.commons.math.dfp.Dfp
Create an instance from a long value.
newInstance(double) - Method in class org.apache.commons.math.dfp.Dfp
Create an instance from a double value.
newInstance(Dfp) - Method in class org.apache.commons.math.dfp.Dfp
Create an instance by copying an existing one.
newInstance(String) - Method in class org.apache.commons.math.dfp.Dfp
Create an instance from a String representation.
newInstance(byte, byte) - Method in class org.apache.commons.math.dfp.Dfp
Creates an instance with a non-finite value.
newInstance() - Method in class org.apache.commons.math.dfp.DfpDec
Create an instance with a value of 0.
newInstance(byte) - Method in class org.apache.commons.math.dfp.DfpDec
Create an instance from a byte value.
newInstance(int) - Method in class org.apache.commons.math.dfp.DfpDec
Create an instance from an int value.
newInstance(long) - Method in class org.apache.commons.math.dfp.DfpDec
Create an instance from a long value.
newInstance(double) - Method in class org.apache.commons.math.dfp.DfpDec
Create an instance from a double value.
newInstance(Dfp) - Method in class org.apache.commons.math.dfp.DfpDec
Create an instance by copying an existing one.
newInstance(String) - Method in class org.apache.commons.math.dfp.DfpDec
Create an instance from a String representation.
newInstance(byte, byte) - Method in class org.apache.commons.math.dfp.DfpDec
Creates an instance with a non-finite value.
newInternalCursor() - Method in class hep.aida.ref.tuple.AbstractTuple
 
newNewtonSolver() - Method in class org.apache.commons.math.analysis.solvers.UnivariateRealSolverFactory
Create a new UnivariateRealSolver.
newNewtonSolver() - Method in class org.apache.commons.math.analysis.solvers.UnivariateRealSolverFactoryImpl
Create a new UnivariateRealSolver.
newSampleData(double[], int, int) - Method in class org.apache.commons.math.stat.regression.AbstractMultipleLinearRegression
Loads model x and y sample data from a flat input array, overriding any previous sample.
newSampleData(double[], double[][], double[][]) - Method in class org.apache.commons.math.stat.regression.GLSMultipleLinearRegression
Replace sample data, overriding any previous sample.
newSampleData(double[], double[][]) - Method in class org.apache.commons.math.stat.regression.OLSMultipleLinearRegression
Loads model x and y sample data, overriding any previous sample.
newSampleData(double[], int, int) - Method in class org.apache.commons.math.stat.regression.OLSMultipleLinearRegression
Loads model x and y sample data from a flat input array, overriding any previous sample.
newSecantSolver() - Method in class org.apache.commons.math.analysis.solvers.UnivariateRealSolverFactory
Create a new UnivariateRealSolver.
newSecantSolver() - Method in class org.apache.commons.math.analysis.solvers.UnivariateRealSolverFactoryImpl
Create a new UnivariateRealSolver.
NewtonRootFinder - Class in jhplot.math.num.root
Newton's method (1) for finding roots of functions.
NewtonRootFinder(Function, Function) - Constructor for class jhplot.math.num.root.NewtonRootFinder
Create a root finder for the given function.
NewtonRootFinder(Function, Function, int, double) - Constructor for class jhplot.math.num.root.NewtonRootFinder
Create a root finder for the given function.
NewtonSolver - Class in org.apache.commons.math.analysis.solvers
Implements Newton's Method for finding zeros of real univariate functions.
NewtonSolver(DifferentiableUnivariateRealFunction) - Constructor for class org.apache.commons.math.analysis.solvers.NewtonSolver
Deprecated. as of 2.0 the function to solve is passed as an argument to the NewtonSolver.solve(UnivariateRealFunction, double, double) or UnivariateRealSolver.solve(UnivariateRealFunction, double, double, double) method.
NewtonSolver() - Constructor for class org.apache.commons.math.analysis.solvers.NewtonSolver
Deprecated. in 2.2 (to be removed in 3.0).
next() - Method in class hep.aida.ref.fitter.fitdata.FitDataIterator
 
next() - Method in class hep.aida.ref.tuple.AbstractTuple
 
next() - Method in class hep.aida.ref.tuple.ChainedTuple
Positions the cursor at the next row.
next() - Method in interface hep.aida.ref.tuple.FTupleCursor
 
next() - Method in class hep.aida.ref.tuple.TupleCursor
 
next() - Method in class jhplot.io.csv.CSVReader
Reads the next line from the buffer and converts to a string List.
next() - Method in class jhplot.math.Poisson
Get next Poisson random number with the lambda given in constructor
next(double) - Method in class jhplot.math.Poisson
Get next Poisson random number with a new lambda (overwrides the default)
next() - Method in class org.apache.commons.math.util.MultidimensionalCounter.Iterator
 
nextAfter(Dfp) - Method in class org.apache.commons.math.dfp.Dfp
Returns the next number greater than this one in the direction of x.
nextAfter(Dfp) - Method in class org.apache.commons.math.dfp.DfpDec
Returns the next number greater than this one in the direction of x.
nextAfter(double, double) - Static method in class org.apache.commons.math.util.FastMath
Get the next machine representable number after a number, moving in the direction of another number.
nextAfter(float, double) - Static method in class org.apache.commons.math.util.FastMath
Get the next machine representable number after a number, moving in the direction of another number.
nextAfter(double, double) - Static method in class org.apache.commons.math.util.MathUtils
Deprecated. as of 2.2, replaced by FastMath.nextAfter(double, double) which handles Infinities differently, and returns direction if d and direction compare equal.
nextBeta(double, double) - Method in class org.apache.commons.math.random.RandomDataImpl
Generates a random value from the Beta Distribution.
nextBinomial(int, double) - Method in class org.apache.commons.math.random.RandomDataImpl
Generates a random value from the Binomial Distribution.
nextBoolean() - Method in class org.apache.commons.math.random.AbstractRandomGenerator
Returns the next pseudorandom, uniformly distributed boolean value from this random number generator's sequence.
nextBoolean() - Method in class org.apache.commons.math.random.BitsStreamGenerator
Returns the next pseudorandom, uniformly distributed boolean value from this random number generator's sequence.
nextBoolean() - Method in class org.apache.commons.math.random.RandomAdaptor
Returns the next pseudorandom, uniformly distributed boolean value from this random number generator's sequence.
nextBoolean() - Method in interface org.apache.commons.math.random.RandomGenerator
Returns the next pseudorandom, uniformly distributed boolean value from this random number generator's sequence.
nextBytes(byte[]) - Method in class org.apache.commons.math.random.AbstractRandomGenerator
Generates random bytes and places them into a user-supplied byte array.
nextBytes(byte[]) - Method in class org.apache.commons.math.random.BitsStreamGenerator
Generates random bytes and places them into a user-supplied byte array.
nextBytes(byte[]) - Method in class org.apache.commons.math.random.RandomAdaptor
Generates random bytes and places them into a user-supplied byte array.
nextBytes(byte[]) - Method in interface org.apache.commons.math.random.RandomGenerator
Generates random bytes and places them into a user-supplied byte array.
nextCauchy(double, double) - Method in class org.apache.commons.math.random.RandomDataImpl
Generates a random value from the Cauchy Distribution.
nextChiSquare(double) - Method in class org.apache.commons.math.random.RandomDataImpl
Generates a random value from the ChiSquare Distribution.
nextDouble() - Method in class org.apache.commons.math.random.AbstractRandomGenerator
Returns the next pseudorandom, uniformly distributed double value between 0.0 and 1.0 from this random number generator's sequence.
nextDouble() - Method in class org.apache.commons.math.random.BitsStreamGenerator
Returns the next pseudorandom, uniformly distributed double value between 0.0 and 1.0 from this random number generator's sequence.
nextDouble() - Method in class org.apache.commons.math.random.RandomAdaptor
Returns the next pseudorandom, uniformly distributed double value between 0.0 and 1.0 from this random number generator's sequence.
nextDouble() - Method in interface org.apache.commons.math.random.RandomGenerator
Returns the next pseudorandom, uniformly distributed double value between 0.0 and 1.0 from this random number generator's sequence.
nextExponential(double) - Method in interface org.apache.commons.math.random.RandomData
Generates a random value from the exponential distribution with expected value = mean.
nextExponential(double) - Method in class org.apache.commons.math.random.RandomDataImpl
Returns a random value from an Exponential distribution with the given mean.
nextF(double, double) - Method in class org.apache.commons.math.random.RandomDataImpl
Generates a random value from the F Distribution.
nextFloat() - Method in class org.apache.commons.math.random.AbstractRandomGenerator
Returns the next pseudorandom, uniformly distributed float value between 0.0 and 1.0 from this random number generator's sequence.
nextFloat() - Method in class org.apache.commons.math.random.BitsStreamGenerator
Returns the next pseudorandom, uniformly distributed float value between 0.0 and 1.0 from this random number generator's sequence.
nextFloat() - Method in class org.apache.commons.math.random.RandomAdaptor
Returns the next pseudorandom, uniformly distributed float value between 0.0 and 1.0 from this random number generator's sequence.
nextFloat() - Method in interface org.apache.commons.math.random.RandomGenerator
Returns the next pseudorandom, uniformly distributed float value between 0.0 and 1.0 from this random number generator's sequence.
nextGamma(double, double) - Method in class org.apache.commons.math.random.RandomDataImpl
Generates a random value from the Gamma Distribution.
nextGaussian() - Method in class org.apache.commons.math.random.AbstractRandomGenerator
Returns the next pseudorandom, Gaussian ("normally") distributed double value with mean 0.0 and standard deviation 1.0 from this random number generator's sequence.
nextGaussian() - Method in class org.apache.commons.math.random.BitsStreamGenerator
Returns the next pseudorandom, Gaussian ("normally") distributed double value with mean 0.0 and standard deviation 1.0 from this random number generator's sequence.
nextGaussian() - Method in class org.apache.commons.math.random.RandomAdaptor
Returns the next pseudorandom, Gaussian ("normally") distributed double value with mean 0.0 and standard deviation 1.0 from this random number generator's sequence.
nextGaussian(double, double) - Method in interface org.apache.commons.math.random.RandomData
Generates a random value from the Normal (or Gaussian) distribution with the given mean and standard deviation.
nextGaussian(double, double) - Method in class org.apache.commons.math.random.RandomDataImpl
Generate a random value from a Normal (a.k.a.
nextGaussian() - Method in interface org.apache.commons.math.random.RandomGenerator
Returns the next pseudorandom, Gaussian ("normally") distributed double value with mean 0.0 and standard deviation 1.0 from this random number generator's sequence.
nextGeneration() - Method in class org.apache.commons.math.genetics.ElitisticListPopulation
Start the population for the next generation.
nextGeneration(Population) - Method in class org.apache.commons.math.genetics.GeneticAlgorithm
Evolve the given population into the next generation.
nextGeneration() - Method in interface org.apache.commons.math.genetics.Population
Start the population for the next generation.
nextHexString(int) - Method in interface org.apache.commons.math.random.RandomData
Generates a random string of hex characters of length len.
nextHexString(int) - Method in class org.apache.commons.math.random.RandomDataImpl
Generates a random string of hex characters of length len.
nextHypergeometric(int, int, int) - Method in class org.apache.commons.math.random.RandomDataImpl
Generates a random value from the Hypergeometric Distribution.
nextInt() - Method in class org.apache.commons.math.random.AbstractRandomGenerator
Returns the next pseudorandom, uniformly distributed int value from this random number generator's sequence.
nextInt(int) - Method in class org.apache.commons.math.random.AbstractRandomGenerator
Returns a pseudorandom, uniformly distributed int value between 0 (inclusive) and the specified value (exclusive), drawn from this random number generator's sequence.
nextInt() - Method in class org.apache.commons.math.random.BitsStreamGenerator
Returns the next pseudorandom, uniformly distributed int value from this random number generator's sequence.
nextInt(int) - Method in class org.apache.commons.math.random.BitsStreamGenerator
Returns a pseudorandom, uniformly distributed int value between 0 (inclusive) and the specified value (exclusive), drawn from this random number generator's sequence.
nextInt() - Method in class org.apache.commons.math.random.RandomAdaptor
Returns the next pseudorandom, uniformly distributed int value from this random number generator's sequence.
nextInt(int) - Method in class org.apache.commons.math.random.RandomAdaptor
Returns a pseudorandom, uniformly distributed int value between 0 (inclusive) and the specified value (exclusive), drawn from this random number generator's sequence.
nextInt(int, int) - Method in interface org.apache.commons.math.random.RandomData
Generates a uniformly distributed random integer between lower and upper (endpoints included).
nextInt(int, int) - Method in class org.apache.commons.math.random.RandomDataImpl
Generate a random int value uniformly distributed between lower and upper, inclusive.
nextInt() - Method in interface org.apache.commons.math.random.RandomGenerator
Returns the next pseudorandom, uniformly distributed int value from this random number generator's sequence.
nextInt(int) - Method in interface org.apache.commons.math.random.RandomGenerator
Returns a pseudorandom, uniformly distributed int value between 0 (inclusive) and the specified value (exclusive), drawn from this random number generator's sequence.
nextInversionDeviate(ContinuousDistribution) - Method in class org.apache.commons.math.random.RandomDataImpl
Generate a random deviate from the given distribution using the inversion method.
nextInversionDeviate(IntegerDistribution) - Method in class org.apache.commons.math.random.RandomDataImpl
Generate a random deviate from the given distribution using the inversion method.
nextLong() - Method in class org.apache.commons.math.random.AbstractRandomGenerator
Returns the next pseudorandom, uniformly distributed long value from this random number generator's sequence.
nextLong() - Method in class org.apache.commons.math.random.BitsStreamGenerator
Returns the next pseudorandom, uniformly distributed long value from this random number generator's sequence.
nextLong() - Method in class org.apache.commons.math.random.RandomAdaptor
Returns the next pseudorandom, uniformly distributed long value from this random number generator's sequence.
nextLong(long, long) - Method in interface org.apache.commons.math.random.RandomData
Generates a uniformly distributed random long integer between lower and upper (endpoints included).
nextLong(long, long) - Method in class org.apache.commons.math.random.RandomDataImpl
Generate a random long value uniformly distributed between lower and upper, inclusive.
nextLong() - Method in interface org.apache.commons.math.random.RandomGenerator
Returns the next pseudorandom, uniformly distributed long value from this random number generator's sequence.
nextNormalizedDouble() - Method in class org.apache.commons.math.random.GaussianRandomGenerator
Generate a random scalar with null mean and unit standard deviation.
nextNormalizedDouble() - Method in interface org.apache.commons.math.random.NormalizedRandomGenerator
Generate a random scalar with null mean and unit standard deviation.
nextNormalizedDouble() - Method in class org.apache.commons.math.random.UniformRandomGenerator
Generate a random scalar with null mean and unit standard deviation.
nextPascal(int, double) - Method in class org.apache.commons.math.random.RandomDataImpl
Generates a random value from the Pascal Distribution.
nextPermutation(int, int) - Method in interface org.apache.commons.math.random.RandomData
Generates an integer array of length k whose entries are selected randomly, without repetition, from the integers 0 through n-1 (inclusive).
nextPermutation(int, int) - Method in class org.apache.commons.math.random.RandomDataImpl
Generates an integer array of length k whose entries are selected randomly, without repetition, from the integers 0 through n-1 (inclusive).
nextPoisson(double) - Method in interface org.apache.commons.math.random.RandomData
Generates a random value from the Poisson distribution with the given mean.
nextPoisson(double) - Method in class org.apache.commons.math.random.RandomDataImpl
Generates a random value from the Poisson distribution with the given mean.
nextRandomNumber() - Method in class jhplot.math.num.random.LinearCongruentialRNG
Access the next random number from this generator.
nextRandomNumber() - Method in class jhplot.math.num.random.MathRNG
Access the next random number from this generator.
nextRandomNumber() - Method in class jhplot.math.num.random.RandomRNG
Access the next random number from this generator.
nextRandomNumber() - Method in interface jhplot.math.num.random.RNG
Access the next random number from this generator.
nextRandomVariable(double, RNG) - Static method in class jhplot.math.num.random.BernoulliRandomVariable
Access the next random variable using the given generator.
nextRandomVariable() - Method in class jhplot.math.num.random.BernoulliRandomVariable
Access the next random variable from this generator.
nextRandomVariable(double, double, RNG) - Static method in class jhplot.math.num.random.BetaRandomVariable
Access the next random variable using the given generator.
nextRandomVariable() - Method in class jhplot.math.num.random.BetaRandomVariable
Access the next random variable from this generator.
nextRandomVariable(int, double, RNG) - Static method in class jhplot.math.num.random.BinomialRandomVariable
Access the next random variable using the given generator.
nextRandomVariable() - Method in class jhplot.math.num.random.BinomialRandomVariable
Access the next random variable from this generator.
nextRandomVariable(double, double, RNG) - Static method in class jhplot.math.num.random.CauchyRandomVariable
Access the next random variable using the given generator.
nextRandomVariable() - Method in class jhplot.math.num.random.CauchyRandomVariable
Access the next random variable from this generator.
nextRandomVariable(double, RNG) - Static method in class jhplot.math.num.random.ChiSquaredRandomVariable
Access the next random variable using the given generator.
nextRandomVariable() - Method in class jhplot.math.num.random.ChiSquaredRandomVariable
Access the next random variable from this generator.
nextRandomVariable() - Method in interface jhplot.math.num.random.ContinuousRandomVariable
Access the next random variable from this generator.
nextRandomVariable() - Method in interface jhplot.math.num.random.DiscreteRandomVariable
Access the next random variable from this generator.
nextRandomVariable(double, RNG) - Static method in class jhplot.math.num.random.ExponentialRandomVariable
Access the next random variable using the given generator.
nextRandomVariable() - Method in class jhplot.math.num.random.ExponentialRandomVariable
Access the next random variable from this generator.
nextRandomVariable(double, double, RNG) - Static method in class jhplot.math.num.random.FRandomVariable
Access the next random variable using the given generator.
nextRandomVariable() - Method in class jhplot.math.num.random.FRandomVariable
Access the next random variable from this generator.
nextRandomVariable(double, double, RNG) - Static method in class jhplot.math.num.random.GammaRandomVariable
Access the next random variable using the given generator.
nextRandomVariable() - Method in class jhplot.math.num.random.GammaRandomVariable
Access the next random variable from this generator.
nextRandomVariable(double, RNG) - Static method in class jhplot.math.num.random.GeometricRandomVariable
Access the next random variable using the given generator.
nextRandomVariable() - Method in class jhplot.math.num.random.GeometricRandomVariable
Access the next random variable from this generator.
nextRandomVariable(double, double, RNG) - Static method in class jhplot.math.num.random.LaplaceRandomVariable
Access the next random variable using the given generator.
nextRandomVariable() - Method in class jhplot.math.num.random.LaplaceRandomVariable
Access the next random variable from this generator.
nextRandomVariable(double, double, RNG) - Static method in class jhplot.math.num.random.LogisticRandomVariable
Access the next random variable using the given generator.
nextRandomVariable() - Method in class jhplot.math.num.random.LogisticRandomVariable
Access the next random variable from this generator.
nextRandomVariable(double, double, RNG) - Static method in class jhplot.math.num.random.LogNormalRandomVariable
Access the next random variable using the given generator.
nextRandomVariable() - Method in class jhplot.math.num.random.LogNormalRandomVariable
Access the next random variable from this generator.
nextRandomVariable(int, double, RNG) - Static method in class jhplot.math.num.random.NegativeBinomialRandomVariable
Access the next random variable using the given generator.
nextRandomVariable() - Method in class jhplot.math.num.random.NegativeBinomialRandomVariable
Access the next random variable from this generator.
nextRandomVariable(double, double, RNG) - Static method in class jhplot.math.num.random.NormalRandomVariable
Access the next random variable using the given generator.
nextRandomVariable() - Method in class jhplot.math.num.random.NormalRandomVariable
Access the next random variable from this generator.
nextRandomVariable(double, RNG) - Static method in class jhplot.math.num.random.PoissonRandomVariable
Access the next random variable using the given generator.
nextRandomVariable() - Method in class jhplot.math.num.random.PoissonRandomVariable
Access the next random variable from this generator.
nextRandomVariable(double, RNG) - Static method in class jhplot.math.num.random.RayleighRandomVariable
Access the next random variable using the given generator.
nextRandomVariable() - Method in class jhplot.math.num.random.RayleighRandomVariable
Access the next random variable from this generator.
nextRandomVariable(double, RNG) - Static method in class jhplot.math.num.random.TRandomVariable
Access the next random variable using the given generator.
nextRandomVariable() - Method in class jhplot.math.num.random.TRandomVariable
Access the next random variable from this generator.
nextRandomVariable(double, double, RNG) - Static method in class jhplot.math.num.random.UniformRandomVariable
Access the next random variable using the given generator.
nextRandomVariable() - Method in class jhplot.math.num.random.UniformRandomVariable
Access the next random variable from this generator.
nextRandomVariable(double, double, double, RNG) - Static method in class jhplot.math.num.random.WeibullRandomVariable
Access the next random variable using the given generator.
nextRandomVariable() - Method in class jhplot.math.num.random.WeibullRandomVariable
Access the next random variable from this generator.
nextSample(Collection<?>, int) - Method in interface org.apache.commons.math.random.RandomData
Returns an array of k objects selected randomly from the Collection c.
nextSample(Collection<?>, int) - Method in class org.apache.commons.math.random.RandomDataImpl
Uses a 2-cycle permutation shuffle to generate a random permutation.
nextSecureHexString(int) - Method in interface org.apache.commons.math.random.RandomData
Generates a random string of hex characters from a secure random sequence.
nextSecureHexString(int) - Method in class org.apache.commons.math.random.RandomDataImpl
Generates a random string of hex characters from a secure random sequence.
nextSecureInt(int, int) - Method in interface org.apache.commons.math.random.RandomData
Generates a uniformly distributed random integer between lower and upper (endpoints included) from a secure random sequence.
nextSecureInt(int, int) - Method in class org.apache.commons.math.random.RandomDataImpl
Generate a random int value uniformly distributed between lower and upper, inclusive.
nextSecureLong(long, long) - Method in interface org.apache.commons.math.random.RandomData
Generates a random long integer between lower and upper (endpoints included).
nextSecureLong(long, long) - Method in class org.apache.commons.math.random.RandomDataImpl
Generate a random long value uniformly distributed between lower and upper, inclusive.
nextT(double) - Method in class org.apache.commons.math.random.RandomDataImpl
Generates a random value from the T Distribution.
nextUniform(double, double) - Method in interface org.apache.commons.math.random.RandomData
Generates a uniformly distributed random value from the open interval (lower,upper) (i.e., endpoints excluded).
nextUniform(double, double) - Method in class org.apache.commons.math.random.RandomDataImpl
Generates a uniformly distributed random value from the open interval (lower,upper) (i.e., endpoints excluded).
nextUp(double) - Static method in class org.apache.commons.math.util.FastMath
Compute next number towards positive infinity.
nextUp(float) - Static method in class org.apache.commons.math.util.FastMath
Compute next number towards positive infinity.
nextVector() - Method in class org.apache.commons.math.random.CorrelatedRandomVectorGenerator
Generate a correlated random vector.
nextVector() - Method in interface org.apache.commons.math.random.RandomVectorGenerator
Generate a random vector.
nextVector() - Method in class org.apache.commons.math.random.UncorrelatedRandomVectorGenerator
Generate an uncorrelated random vector.
nextVector() - Method in class org.apache.commons.math.random.UnitSphereRandomVectorGenerator
Generate a random vector.
nextWeibull(double, double) - Method in class org.apache.commons.math.random.RandomDataImpl
Generates a random value from the Weibull Distribution.
nextZipf(int, double) - Method in class org.apache.commons.math.random.RandomDataImpl
Generates a random value from the Zipf Distribution.
nFunctions() - Method in class hep.aida.ref.function.SumOfFunctions
 
NO_ESCAPE_CHARACTER - Static variable in class jhplot.io.csv.CSVWriter
The escape constant to use when you wish to suppress all escaping.
NO_QUOTE_CHARACTER - Static variable in class jhplot.io.csv.CSVWriter
The quote constant to use when you wish to suppress all quoting.
NoDataException - Exception in org.apache.commons.math.exception
Exception to be thrown when the required data is missing.
NoDataException() - Constructor for exception org.apache.commons.math.exception.NoDataException
Construct the exception.
NoDataException(Localizable) - Constructor for exception org.apache.commons.math.exception.NoDataException
Construct the exception with a specific context.
NODE_ADDED - Static variable in class hep.aida.ref.event.TreeEvent
 
NODE_AVAILABLE - Static variable in class hep.aida.ref.event.TreeEvent
 
NODE_DELETED - Static variable in class hep.aida.ref.event.TreeEvent
 
NODE_MOVED - Static variable in class hep.aida.ref.event.TreeEvent
 
NODE_RENAMED - Static variable in class hep.aida.ref.event.TreeEvent
 
NODE_UNAVAILABLE - Static variable in class hep.aida.ref.event.TreeEvent
 
NoFeasibleSolutionException - Exception in org.apache.commons.math.optimization.linear
This class represents exceptions thrown by optimizers when no solution fulfills the constraints.
NoFeasibleSolutionException() - Constructor for exception org.apache.commons.math.optimization.linear.NoFeasibleSolutionException
Simple constructor using a default message.
NonLinearConjugateGradientOptimizer - Class in org.apache.commons.math.optimization.general
Non-linear conjugate gradient optimizer.
NonLinearConjugateGradientOptimizer(ConjugateGradientFormula) - Constructor for class org.apache.commons.math.optimization.general.NonLinearConjugateGradientOptimizer
Simple constructor with default settings.
NonMonotonousSequenceException - Exception in org.apache.commons.math.exception
Exception to be thrown when the a sequence of values is not monotonously increasing or decreasing.
NonMonotonousSequenceException(Number, Number, int) - Constructor for exception org.apache.commons.math.exception.NonMonotonousSequenceException
Construct the exception.
NonMonotonousSequenceException(Number, Number, int, MathUtils.OrderDirection, boolean) - Constructor for exception org.apache.commons.math.exception.NonMonotonousSequenceException
Construct the exception.
NonParametricFunction - Class in hep.aida.ref.function
 
NonParametricFunction(String, IFitData) - Constructor for class hep.aida.ref.function.NonParametricFunction
 
NonParametricUnbinnedFit - Class in hep.aida.ref.function.examples
 
NonParametricUnbinnedFit() - Constructor for class hep.aida.ref.function.examples.NonParametricUnbinnedFit
 
NonSquareMatrixException - Exception in org.apache.commons.math.linear
Thrown when an operation defined only for square matrices is applied to non-square ones.
NonSquareMatrixException(int, int) - Constructor for exception org.apache.commons.math.linear.NonSquareMatrixException
Construct an exception with the given message.
NordsieckStepInterpolator - Class in org.apache.commons.math.ode.sampling
This class implements an interpolator for integrators using Nordsieck representation.
NordsieckStepInterpolator() - Constructor for class org.apache.commons.math.ode.sampling.NordsieckStepInterpolator
Simple constructor.
NordsieckStepInterpolator(NordsieckStepInterpolator) - Constructor for class org.apache.commons.math.ode.sampling.NordsieckStepInterpolator
Copy constructor.
norm(double[]) - Static method in class jhplot.math.ArrayMathUtils
Computes the L2 norm of an array (Euclidean norm or "length").
norm(int[]) - Static method in class jhplot.math.ArrayMathUtils
Computes the L2 norm of an array (Euclidean norm or "length").
norm1(double[][]) - Static method in class jhplot.math.LinearAlgebra
 
norm2(double[][]) - Static method in class jhplot.math.LinearAlgebra
 
norm2() - Method in class jhplot.math.SingularValueDecomposition
Two norm
Normal - Class in jhplot.math.num.pdf
The Normal distribution (1).
Normal() - Constructor for class jhplot.math.num.pdf.Normal
Default constructor.
Normal(double, double) - Constructor for class jhplot.math.num.pdf.Normal
Create a distribution with the given mean and standard deviation.
normal(double, double) - Static method in class jhplot.math.Random
Generate a random number from a Gaussian (Normal) random variable.
normalApproximateProbability(int) - Method in interface org.apache.commons.math.distribution.PoissonDistribution
Calculates the Poisson distribution function using a normal approximation.
normalApproximateProbability(int) - Method in class org.apache.commons.math.distribution.PoissonDistributionImpl
Calculates the Poisson distribution function using a normal approximation.
NormalDistribution - Interface in org.apache.commons.math.distribution
Normal (Gauss) Distribution.
NormalDistributionImpl - Class in org.apache.commons.math.distribution
Default implementation of NormalDistribution.
NormalDistributionImpl(double, double) - Constructor for class org.apache.commons.math.distribution.NormalDistributionImpl
Create a normal distribution using the given mean and standard deviation.
NormalDistributionImpl(double, double, double) - Constructor for class org.apache.commons.math.distribution.NormalDistributionImpl
Create a normal distribution using the given mean, standard deviation and inverse cumulative distribution accuracy.
NormalDistributionImpl() - Constructor for class org.apache.commons.math.distribution.NormalDistributionImpl
Creates normal distribution with the mean equal to zero and standard deviation equal to one.
normalizationAmplitude() - Method in class hep.aida.ref.function.AbstractDevModelFunction
 
normalizationAmplitude(ArrayList[], ArrayList[]) - Method in class hep.aida.ref.function.AbstractDevModelFunction
 
normalizationAmplitude(double[], double[]) - Method in class hep.aida.ref.function.ExponentialCoreNorm
 
normalizationAmplitude(double[], double[]) - Method in class hep.aida.ref.function.ExponentialCoreNotNorm
 
normalizationAmplitude(double[], double[]) - Method in class hep.aida.ref.function.FunctionCore
 
normalizationAmplitude(double[], double[]) - Method in class hep.aida.ref.function.GaussianCore2DNorm
 
normalizationAmplitude(double[], double[]) - Method in class hep.aida.ref.function.GaussianCore2DNotNorm
 
normalizationAmplitude(double[], double[]) - Method in class hep.aida.ref.function.GaussianCoreNorm
 
normalizationAmplitude(double[], double[]) - Method in class hep.aida.ref.function.GaussianCoreNotNorm
 
normalizationAmplitude(double[], double[]) - Method in class hep.aida.ref.function.IFunctionCoreNotNorm
 
normalizationAmplitude(double[], double[]) - Method in class hep.aida.ref.function.JELFunctionCore
 
normalizationAmplitude(double[], double[]) - Method in class hep.aida.ref.function.LorentzianCoreNotNorm
 
normalizationAmplitude(double[], double[]) - Method in class hep.aida.ref.function.MoyalCoreNotNorm
 
normalizationAmplitude(double[], double[]) - Method in class hep.aida.ref.function.PolynomialCoreNorm
 
normalizationAmplitude(double[], double[]) - Method in class hep.aida.ref.function.PolynomialCoreNotNorm
 
normalizationParameter() - Method in class hep.aida.ref.fitter.InternalFitFunction
 
normalizationParameter() - Method in class hep.aida.ref.function.AbstractDevModelFunction
 
normalizationParameter() - Method in class hep.aida.ref.function.AbstractIFunction
 
normalizationParameter() - Method in class hep.aida.ref.function.BaseModelFunction
 
normalizationParameter() - Method in class hep.aida.ref.function.NonParametricFunction
 
normalizationParameter() - Method in class hep.aida.ref.function.SumOfFunctions
 
normalizationRange(int) - Method in class hep.aida.ref.function.AbstractDevModelFunction
 
normalizationRange(int) - Method in class hep.aida.ref.function.AbstractIFunction
 
normalizationRange(int) - Method in class hep.aida.ref.function.BaseModelFunction
 
normalize(boolean) - Method in class hep.aida.ref.function.AbstractDevModelFunction
 
normalize(boolean) - Method in class hep.aida.ref.function.AbstractIFunction
 
normalize(boolean) - Method in class hep.aida.ref.function.BaseModelFunction
 
normalize(double[]) - Static method in class jhplot.math.ArrayMathUtils
Renormalizes the array so that its L2 norm is 1 (up to computational errors).
normalize() - Method in class jhplot.v3d.Vector3d
 
normalize() - Method in class org.apache.commons.math.geometry.Vector3D
Get a normalized vector aligned with the instance.
normalize(double[]) - Static method in class org.apache.commons.math.stat.StatUtils
Normalize (standardize) the series, so in the end it is having a mean of 0 and a standard deviation of 1.
normalizeAngle(double, double) - Static method in class org.apache.commons.math.util.MathUtils
Normalize an angle in a 2&pi wide interval around a center value.
normalizeArray(double[], double) - Static method in class org.apache.commons.math.util.MathUtils
Normalizes an array to make it sum to a specified value.
NormalizedRandomGenerator - Interface in org.apache.commons.math.random
This interface represent a normalized random generator for scalars.
NormalRandomVariable - Class in jhplot.math.num.random
A random variable generator for the Normal distribution.
NormalRandomVariable() - Constructor for class jhplot.math.num.random.NormalRandomVariable
Default constructor.
NormalRandomVariable(double, double) - Constructor for class jhplot.math.num.random.NormalRandomVariable
Create a random variable with the given mean and standard deviation.
NormalRandomVariable(double, double, RNG) - Constructor for class jhplot.math.num.random.NormalRandomVariable
Create a random variable with the given parameters.
normF(double[][]) - Static method in class jhplot.math.LinearAlgebra
 
normInf(double[][]) - Static method in class jhplot.math.LinearAlgebra
 
NotARotationMatrixException - Exception in org.apache.commons.math.geometry
This class represents exceptions thrown while building rotations from matrices.
NotARotationMatrixException(String, Object...) - Constructor for exception org.apache.commons.math.geometry.NotARotationMatrixException
Deprecated. as of 2.2 replaced by NotARotationMatrixException.NotARotationMatrixException(Localizable, Object...)
NotARotationMatrixException(Localizable, Object...) - Constructor for exception org.apache.commons.math.geometry.NotARotationMatrixException
Simple constructor.
notEquals(SpacePoint) - Method in class hephysics.vec.SpacePoint
Inequality
NotPositiveDefiniteMatrixException - Exception in org.apache.commons.math.linear
This class represents exceptions thrown when a matrix expected to be positive definite is not.
NotPositiveDefiniteMatrixException() - Constructor for exception org.apache.commons.math.linear.NotPositiveDefiniteMatrixException
Simple constructor.
NotPositiveException - Exception in org.apache.commons.math.exception
Exception to be thrown when the argument is negative.
NotPositiveException(Number) - Constructor for exception org.apache.commons.math.exception.NotPositiveException
Construct the exception.
NotPositiveException(Localizable, Number) - Constructor for exception org.apache.commons.math.exception.NotPositiveException
Construct the exception with a specific context.
NotStrictlyPositiveException - Exception in org.apache.commons.math.exception
Exception to be thrown when the argument is negative.
NotStrictlyPositiveException(Number) - Constructor for exception org.apache.commons.math.exception.NotStrictlyPositiveException
Construct the exception.
NotStrictlyPositiveException(Localizable, Number) - Constructor for exception org.apache.commons.math.exception.NotStrictlyPositiveException
Construct the exception with a specific context.
NotSymmetricMatrixException - Exception in org.apache.commons.math.linear
This class represents exceptions thrown when a matrix expected to be symmetric is not
NotSymmetricMatrixException() - Constructor for exception org.apache.commons.math.linear.NotSymmetricMatrixException
Simple constructor.
nRoot(ValueErr, int) - Static method in class jhplot.math.ValueErr
Take nth root from the value (n is above 1)
nthRoot(int) - Method in class org.apache.commons.math.complex.Complex
Computes the n-th roots of this complex number.
NullArgumentException - Exception in org.apache.commons.math.exception
All conditions checks that fail due to a null argument must throw this exception.
NullArgumentException() - Constructor for exception org.apache.commons.math.exception.NullArgumentException
Default constructor.
NullArgumentException(Localizable) - Constructor for exception org.apache.commons.math.exception.NullArgumentException
 
NumberIsTooLargeException - Exception in org.apache.commons.math.exception
Exception to be thrown when a number is too large.
NumberIsTooLargeException(Number, Number, boolean) - Constructor for exception org.apache.commons.math.exception.NumberIsTooLargeException
Construct the exception.
NumberIsTooLargeException(Localizable, Number, Number, boolean) - Constructor for exception org.apache.commons.math.exception.NumberIsTooLargeException
Construct the exception with a specific context.
NumberIsTooSmallException - Exception in org.apache.commons.math.exception
Exception to be thrown when a number is too small.
NumberIsTooSmallException(Number, Number, boolean) - Constructor for exception org.apache.commons.math.exception.NumberIsTooSmallException
Construct the exception.
NumberIsTooSmallException(Localizable, Number, Number, boolean) - Constructor for exception org.apache.commons.math.exception.NumberIsTooSmallException
Construct the exception with a specific context.
numberLabels() - Method in class jhplot.HPlot
No labels on the current plot.
numberOfParameters() - Method in class hep.aida.ref.fitter.InternalFitFunction
 
numberOfParameters() - Method in class hep.aida.ref.function.AbstractDevModelFunction
 
numberOfParameters() - Method in class hep.aida.ref.function.AbstractIFunction
 
numberOfParameters() - Method in class hep.aida.ref.function.BaseModelFunction
 
numberOfParameters() - Method in class hep.aida.ref.function.ExponentModelFunction
 
numberOfParameters() - Method in class hep.aida.ref.function.FunctionCore
 
numberOfParameters() - Method in class hep.aida.ref.function.PolynomialModelFunction
 
numberOfParameters() - Method in class hep.aida.ref.function.SumOfFunctions
 
numberPrimitives() - Method in class jhplot.HPlot
No of primitives for the current plot.
NumberTransformer - Interface in org.apache.commons.math.util
Subclasses implementing this interface can transform Objects to doubles.
Numeric - Class in jhplot.math
Do some numerical calculations.
Numeric() - Constructor for class jhplot.math.Numeric
 
NumericException - Exception in jhplot.math.num
Generic numerical exception thrown by numerics4j.
NumericException(String) - Constructor for exception jhplot.math.num.NumericException
Create an execption with the given message.
numericGradient(double[]) - Method in class hep.aida.ref.function.BaseModelFunction
 
numericParameterGradient(double[]) - Method in class hep.aida.ref.function.BaseModelFunction
 

O

obj - Variable in class jhplot.v3d.Model3d
 
Object3d - Class in jhplot.v3d
 
Object3d(Model3d, int, int) - Constructor for class jhplot.v3d.Object3d
 
Object3d(String, Model3d, int, int) - Constructor for class jhplot.v3d.Object3d
 
ObserverAdapter - Class in hep.aida.ref.event
An ObserverAdapter can be used as a base class for class that wants to act as both AIDAListener and Observable, and relay things it observers to its Observers.
ObserverAdapter() - Constructor for class hep.aida.ref.event.ObserverAdapter
 
ObserverAdapter(Object) - Constructor for class hep.aida.ref.event.ObserverAdapter
 
ODEIntegrator - Interface in org.apache.commons.math.ode
This interface defines the common parts shared by integrators for first and second order differential equations.
ODEWithJacobians - Interface in org.apache.commons.math.ode.jacobians
Deprecated. as of 2.2 the complete package is deprecated, it will be replaced in 3.0 by a completely rewritten implementation
of(UnivariateRealFunction) - Method in class org.apache.commons.math.analysis.ComposableFunction
Precompose the instance with another function.
OLSMultipleLinearRegression - Class in org.apache.commons.math.stat.regression
Implements ordinary least squares (OLS) to estimate the parameters of a multiple linear regression model.
OLSMultipleLinearRegression() - Constructor for class org.apache.commons.math.stat.regression.OLSMultipleLinearRegression
 
omaxScale - Variable in class jhplot.v3d.Canvas3d
 
ominScale - Variable in class jhplot.v3d.Canvas3d
 
one(int, int) - Static method in class jhplot.math.DoubleArray
Deprecated. use fill(int m, int n, 1.0) instead.
one(int, int, double) - Static method in class jhplot.math.DoubleArray
Deprecated. use fill(int m, int n, double c) instead.
one(int) - Static method in class jhplot.math.DoubleArray
Deprecated. use fill(int m, double c) instead.
one(int, double) - Static method in class jhplot.math.DoubleArray
Deprecated. Use fill(int m, double c) instead.
ONE - Static variable in class org.apache.commons.math.analysis.ComposableFunction
The constant function always returning 1.
ONE - Static variable in class org.apache.commons.math.complex.Complex
A complex number representing "1.0 + 0.0i"
ONE - Static variable in class org.apache.commons.math.fraction.BigFraction
A fraction representing "1".
ONE - Static variable in class org.apache.commons.math.fraction.Fraction
A fraction representing "1".
ONE - Static variable in class org.apache.commons.math.util.BigReal
A big real representing 1.
ONE_FIFTH - Static variable in class org.apache.commons.math.fraction.BigFraction
A fraction representing "1/5".
ONE_FIFTH - Static variable in class org.apache.commons.math.fraction.Fraction
A fraction representing "1/5".
ONE_HALF - Static variable in class org.apache.commons.math.fraction.BigFraction
A fraction representing "1/2".
ONE_HALF - Static variable in class org.apache.commons.math.fraction.Fraction
A fraction representing "1/2".
ONE_QUARTER - Static variable in class org.apache.commons.math.fraction.BigFraction
A fraction representing "1/4".
ONE_QUARTER - Static variable in class org.apache.commons.math.fraction.Fraction
A fraction representing "1/4".
ONE_THIRD - Static variable in class org.apache.commons.math.fraction.BigFraction
A fraction representing "1/3".
ONE_THIRD - Static variable in class org.apache.commons.math.fraction.Fraction
A fraction representing "1/3".
oneDarray(int, ValueErr) - Static method in class jhplot.math.ValueErr
Create a one dimensional array of ValueErr objects of length n and m
OnePointCrossover<T> - Class in org.apache.commons.math.genetics
One point crossover policy.
OnePointCrossover() - Constructor for class org.apache.commons.math.genetics.OnePointCrossover
 
OneWayAnova - Interface in org.apache.commons.math.stat.inference
An interface for one-way ANOVA (analysis of variance).
oneWayAnovaFValue(Collection<double[]>) - Static method in class org.apache.commons.math.stat.inference.TestUtils
 
OneWayAnovaImpl - Class in org.apache.commons.math.stat.inference
Implements one-way ANOVA statistics defined in the OneWayAnovaImpl interface.
OneWayAnovaImpl() - Constructor for class org.apache.commons.math.stat.inference.OneWayAnovaImpl
Default constructor.
oneWayAnovaPValue(Collection<double[]>) - Static method in class org.apache.commons.math.stat.inference.TestUtils
 
oneWayAnovaTest(Collection<double[]>, double) - Static method in class org.apache.commons.math.stat.inference.TestUtils
 
oof - Variable in class jhplot.io.HFile
 
oof - Variable in class jhplot.io.HFileXML
 
oos - Variable in class jhplot.io.HFile
 
oos - Variable in class jhplot.io.HFileXML
 
OpenIntToDoubleHashMap - Class in org.apache.commons.math.util
Open addressed map from int to double.
OpenIntToDoubleHashMap() - Constructor for class org.apache.commons.math.util.OpenIntToDoubleHashMap
Build an empty map with default size and using NaN for missing entries.
OpenIntToDoubleHashMap(double) - Constructor for class org.apache.commons.math.util.OpenIntToDoubleHashMap
Build an empty map with default size
OpenIntToDoubleHashMap(int) - Constructor for class org.apache.commons.math.util.OpenIntToDoubleHashMap
Build an empty map with specified size and using NaN for missing entries.
OpenIntToDoubleHashMap(int, double) - Constructor for class org.apache.commons.math.util.OpenIntToDoubleHashMap
Build an empty map with specified size.
OpenIntToDoubleHashMap(OpenIntToDoubleHashMap) - Constructor for class org.apache.commons.math.util.OpenIntToDoubleHashMap
Copy constructor.
OpenIntToDoubleHashMap.Iterator - Class in org.apache.commons.math.util
Iterator class for the map.
OpenIntToFieldHashMap<T extends FieldElement<T>> - Class in org.apache.commons.math.util
Open addressed map from int to FieldElement.
OpenIntToFieldHashMap(Field<T>) - Constructor for class org.apache.commons.math.util.OpenIntToFieldHashMap
Build an empty map with default size and using zero for missing entries.
OpenIntToFieldHashMap(Field<T>, T) - Constructor for class org.apache.commons.math.util.OpenIntToFieldHashMap
Build an empty map with default size
OpenIntToFieldHashMap(Field<T>, int) - Constructor for class org.apache.commons.math.util.OpenIntToFieldHashMap
Build an empty map with specified size and using zero for missing entries.
OpenIntToFieldHashMap(Field<T>, int, T) - Constructor for class org.apache.commons.math.util.OpenIntToFieldHashMap
Build an empty map with specified size.
OpenIntToFieldHashMap(OpenIntToFieldHashMap<T>) - Constructor for class org.apache.commons.math.util.OpenIntToFieldHashMap
Copy constructor.
OpenIntToFieldHashMap.Iterator - Class in org.apache.commons.math.util
Iterator class for the map.
OpenMapRealMatrix - Class in org.apache.commons.math.linear
Sparse matrix implementation based on an open addressed map.
OpenMapRealMatrix(int, int) - Constructor for class org.apache.commons.math.linear.OpenMapRealMatrix
Build a sparse matrix with the supplied row and column dimensions.
OpenMapRealMatrix(OpenMapRealMatrix) - Constructor for class org.apache.commons.math.linear.OpenMapRealMatrix
Build a matrix by copying another one.
OpenMapRealVector - Class in org.apache.commons.math.linear
This class implements the RealVector interface with a OpenIntToDoubleHashMap backing store.
OpenMapRealVector() - Constructor for class org.apache.commons.math.linear.OpenMapRealVector
Build a 0-length vector.
OpenMapRealVector(int) - Constructor for class org.apache.commons.math.linear.OpenMapRealVector
Construct a (dimension)-length vector of zeros.
OpenMapRealVector(int, double) - Constructor for class org.apache.commons.math.linear.OpenMapRealVector
Construct a (dimension)-length vector of zeros, specifying zero tolerance.
OpenMapRealVector(int, int) - Constructor for class org.apache.commons.math.linear.OpenMapRealVector
Build a vector with known the sparseness (for advanced use only).
OpenMapRealVector(int, int, double) - Constructor for class org.apache.commons.math.linear.OpenMapRealVector
Build a vector with known the sparseness and zero tolerance setting (for advanced use only).
OpenMapRealVector(double[]) - Constructor for class org.apache.commons.math.linear.OpenMapRealVector
Create from a double array.
OpenMapRealVector(double[], double) - Constructor for class org.apache.commons.math.linear.OpenMapRealVector
Create from a double array, specifying zero tolerance.
OpenMapRealVector(Double[]) - Constructor for class org.apache.commons.math.linear.OpenMapRealVector
Create from a Double array.
OpenMapRealVector(Double[], double) - Constructor for class org.apache.commons.math.linear.OpenMapRealVector
Create from a Double array.
OpenMapRealVector(OpenMapRealVector) - Constructor for class org.apache.commons.math.linear.OpenMapRealVector
Copy constructor.
OpenMapRealVector(RealVector) - Constructor for class org.apache.commons.math.linear.OpenMapRealVector
Generic copy constructor.
oper(H1D, String) - Method in class jhplot.H1D
Various manipulations with histograms (+,-,*,/).
oper(H1D, String, String) - Method in class jhplot.H1D
Various manipulations with histograms (+,-,*,/).
oper(H2D, String, String) - Method in class jhplot.H2D
Various manipulations with histograms (+,-,*,/).
oper(P0D, String) - Method in class jhplot.P0D
Operations on P0D containers: add, subtract, multiply, divide.
oper(P0D, String, String) - Method in class jhplot.P0D
Operations on P0D containers: add, subtract, multiply, divide.
oper(P0I, String) - Method in class jhplot.P0I
Operations on P0I containers: add, subtract, multiply, divide.
oper(P0I, String, String) - Method in class jhplot.P0I
Operations on P0I containers: add, subtract, multiply, divide.
oper(P1D, String) - Method in class jhplot.P1D
Operations on P1D container: add, subtract, multiply, divide.
oper(P1D, String, String) - Method in class jhplot.P1D
Operations on P1D containers: add, subtract, multiply, divide.
oper(P1D, String, String, String, P1D) - Method in class jhplot.P1D
Operations on P1D containers: add, subtract, multiply, divide.
oper(PND, String) - Method in class jhplot.PND
Operations on PND containers: add, subtract, multiply, divide.
oper(PND, String, String) - Method in class jhplot.PND
Operations on PND containers: add, subtract, multiply, divide.
oper(PNI, String) - Method in class jhplot.PNI
Operations on PNI containers: add, subtract, multiply, divide.
oper(PNI, String, String) - Method in class jhplot.PNI
Operations on PNI containers: add, subtract, multiply, divide.
operate(T[]) - Method in class org.apache.commons.math.linear.AbstractFieldMatrix
Returns the result of multiplying this by the vector v.
operate(FieldVector<T>) - Method in class org.apache.commons.math.linear.AbstractFieldMatrix
Returns the result of multiplying this by the vector v.
operate(double[]) - Method in class org.apache.commons.math.linear.AbstractRealMatrix
Returns the result of multiplying this by the vector v.
operate(RealVector) - Method in class org.apache.commons.math.linear.AbstractRealMatrix
Returns the result of multiplying this by the vector v.
operate(T[]) - Method in class org.apache.commons.math.linear.Array2DRowFieldMatrix
Returns the result of multiplying this by the vector v.
operate(double[]) - Method in class org.apache.commons.math.linear.Array2DRowRealMatrix
Returns the result of multiplying this by the vector v.
operate(BigDecimal[]) - Method in interface org.apache.commons.math.linear.BigMatrix
Deprecated. Returns the result of multiplying this by the vector v.
operate(BigDecimal[]) - Method in class org.apache.commons.math.linear.BigMatrixImpl
Deprecated. Returns the result of multiplying this by the vector v.
operate(double[]) - Method in class org.apache.commons.math.linear.BigMatrixImpl
Deprecated. Returns the result of multiplying this by the vector v.
operate(T[]) - Method in class org.apache.commons.math.linear.BlockFieldMatrix
Returns the result of multiplying this by the vector v.
operate(double[]) - Method in class org.apache.commons.math.linear.BlockRealMatrix
Returns the result of multiplying this by the vector v.
operate(T[]) - Method in interface org.apache.commons.math.linear.FieldMatrix
Returns the result of multiplying this by the vector v.
operate(FieldVector<T>) - Method in interface org.apache.commons.math.linear.FieldMatrix
Returns the result of multiplying this by the vector v.
operate(double[]) - Method in interface org.apache.commons.math.linear.RealMatrix
Returns the result of multiplying this by the vector v.
operate(RealVector) - Method in interface org.apache.commons.math.linear.RealMatrix
Returns the result of multiplying this by the vector v.
operate(double[]) - Method in class org.apache.commons.math.linear.RealMatrixImpl
Deprecated. Returns the result of multiplying this by the vector v.
operErrSys(String, int, P1D, P1D) - Method in class jhplot.P1D
Obtain a new P1D with 2nd-level errors on X or Y obtained from two P1D objects, one represents left on X (or lower on Y) error and the other represents the right on X (or upper on Y) error.
operScale(String, double) - Method in class jhplot.H1D
Scale the histogram and return scaled object.
operScale(String, double) - Method in class jhplot.H2D
Scale the histogram and return scaled object.
operScale(double) - Method in class jhplot.P0D
Scale P0D with a factor scale.
operScale(Integer) - Method in class jhplot.P0I
Scale P0I with a factor scale.
operScale(int, double) - Method in class jhplot.P1D
Scale X-values (axis=0) or Y values (axis=1) and their errors with a scale factor.
operScale(double) - Method in class jhplot.PND
Scale each element of data
operScale(double) - Method in class jhplot.PNI
Scale each element of data
operScaleErr(int, double) - Method in class jhplot.P1D
Scale 1st level errors with a scale factor.
operScaleErrSys(int, double) - Method in class jhplot.P1D
Scale 2nd level errors with a scale factor.
operShift(double) - Method in class jhplot.P0D
Shift all values in the array by a constant.
operShift(Integer) - Method in class jhplot.P0I
Shift all values in the array by a constant.
operShiftAndScale(double, double) - Method in class jhplot.P0D
Shift all values by a constant "shift", then scale it.
operShiftAndScale(Integer, Integer) - Method in class jhplot.P0I
Shift all values by a constant "shift", then scale it.
operSmooth(boolean, int) - Method in class jhplot.H1D
Smooth the histogram.
operSmooth(boolean, int) - Method in class jhplot.HProf1D
Smooth the histogram.
operSmooth(int, boolean, int) - Method in class jhplot.P1D
Smooth P1D data points in either X or Y.
operSmoothGauss(double) - Method in class jhplot.H1D
Computes a Gaussian smoothed version of the histogram.
operSmoothGauss(double) - Method in class jhplot.HProf1D
Computes a Gaussian smoothed version of the histogram.
operSmoothGauss(int, double) - Method in class jhplot.P1D
Computes a Gaussian smoothed version of P1D.
oppositeRelationship() - Method in enum org.apache.commons.math.optimization.linear.Relationship
Get the relationship obtained when multiplying all coefficients by -1.
OptimizationException - Exception in org.apache.commons.math.optimization
Deprecated. in 2.2 (to be removed in 3.0).
OptimizationException(String, Object...) - Constructor for exception org.apache.commons.math.optimization.OptimizationException
Deprecated. as of 2.2 replaced by OptimizationException.OptimizationException(Localizable, Object...)
OptimizationException(Localizable, Object...) - Constructor for exception org.apache.commons.math.optimization.OptimizationException
Deprecated. Simple constructor.
OptimizationException(Throwable) - Constructor for exception org.apache.commons.math.optimization.OptimizationException
Deprecated. Create an exception with a given root cause.
optimize(DifferentiableMultivariateRealFunction, GoalType, double[]) - Method in interface org.apache.commons.math.optimization.DifferentiableMultivariateRealOptimizer
Optimizes an objective function.
optimize(DifferentiableMultivariateVectorialFunction, double[], double[], double[]) - Method in interface org.apache.commons.math.optimization.DifferentiableMultivariateVectorialOptimizer
Optimizes an objective function.
optimize(MultivariateRealFunction, GoalType, double[]) - Method in class org.apache.commons.math.optimization.direct.DirectSearchOptimizer
Optimizes an objective function.
optimize(DifferentiableMultivariateVectorialFunction, double[], double[], double[]) - Method in class org.apache.commons.math.optimization.general.AbstractLeastSquaresOptimizer
Optimizes an objective function.
optimize(DifferentiableMultivariateRealFunction, GoalType, double[]) - Method in class org.apache.commons.math.optimization.general.AbstractScalarDifferentiableOptimizer
Optimizes an objective function.
optimize(LinearObjectiveFunction, Collection<LinearConstraint>, GoalType, boolean) - Method in class org.apache.commons.math.optimization.linear.AbstractLinearOptimizer
Optimizes an objective function.
optimize(LinearObjectiveFunction, Collection<LinearConstraint>, GoalType, boolean) - Method in interface org.apache.commons.math.optimization.linear.LinearOptimizer
Optimizes an objective function.
optimize(DifferentiableMultivariateRealFunction, GoalType, double[]) - Method in class org.apache.commons.math.optimization.MultiStartDifferentiableMultivariateRealOptimizer
Optimizes an objective function.
optimize(DifferentiableMultivariateVectorialFunction, double[], double[], double[]) - Method in class org.apache.commons.math.optimization.MultiStartDifferentiableMultivariateVectorialOptimizer
Optimizes an objective function.
optimize(MultivariateRealFunction, GoalType, double[]) - Method in class org.apache.commons.math.optimization.MultiStartMultivariateRealOptimizer
Optimizes an objective function.
optimize(UnivariateRealFunction, GoalType, double, double) - Method in class org.apache.commons.math.optimization.MultiStartUnivariateRealOptimizer
Find an optimum in the given interval.
optimize(UnivariateRealFunction, GoalType, double, double, double) - Method in class org.apache.commons.math.optimization.MultiStartUnivariateRealOptimizer
Find an optimum in the given interval, start at startValue.
optimize(MultivariateRealFunction, GoalType, double[]) - Method in interface org.apache.commons.math.optimization.MultivariateRealOptimizer
Optimizes an objective function.
optimize(UnivariateRealFunction, GoalType, double, double, double) - Method in class org.apache.commons.math.optimization.univariate.AbstractUnivariateRealOptimizer
Find an optimum in the given interval, start at startValue.
optimize(UnivariateRealFunction, GoalType, double, double) - Method in class org.apache.commons.math.optimization.univariate.AbstractUnivariateRealOptimizer
Find an optimum in the given interval.
optimize(UnivariateRealFunction, GoalType, double, double) - Method in interface org.apache.commons.math.optimization.UnivariateRealOptimizer
Find an optimum in the given interval.
optimize(UnivariateRealFunction, GoalType, double, double, double) - Method in interface org.apache.commons.math.optimization.UnivariateRealOptimizer
Find an optimum in the given interval, start at startValue.
optimizer() - Method in class hep.aida.ref.fitter.Fitter
 
org.apache.commons.math - package org.apache.commons.math
Common classes used throughout the commons-math library.
org.apache.commons.math.analysis - package org.apache.commons.math.analysis
Parent package for common numerical analysis procedures, including root finding, function interpolation and integration.
org.apache.commons.math.analysis.integration - package org.apache.commons.math.analysis.integration
Numerical integration (quadrature) algorithms for univariate real functions.
org.apache.commons.math.analysis.interpolation - package org.apache.commons.math.analysis.interpolation
Univariate real functions interpolation algorithms.
org.apache.commons.math.analysis.polynomials - package org.apache.commons.math.analysis.polynomials
Univariate real polynomials implementations, seen as differentiable univariate real functions.
org.apache.commons.math.analysis.solvers - package org.apache.commons.math.analysis.solvers
Root finding algorithms, for univariate real functions.
org.apache.commons.math.complex - package org.apache.commons.math.complex
Complex number type and implementations of complex transcendental functions.
org.apache.commons.math.dfp - package org.apache.commons.math.dfp
Decimal floating point library for Java
org.apache.commons.math.distribution - package org.apache.commons.math.distribution
Implementations of common discrete and continuous distributions.
org.apache.commons.math.estimation - package org.apache.commons.math.estimation
This package provided classes to solve estimation problems, it is deprecated since 2.0.
org.apache.commons.math.exception - package org.apache.commons.math.exception
Specialized exceptions for algorithms errors.
org.apache.commons.math.exception.util - package org.apache.commons.math.exception.util
Classes supporting exception localization.
org.apache.commons.math.fraction - package org.apache.commons.math.fraction
Fraction number type and fraction number formatting.
org.apache.commons.math.genetics - package org.apache.commons.math.genetics
This package provides Genetic Algorithms components and implementations.
org.apache.commons.math.geometry - package org.apache.commons.math.geometry
This package provides basic 3D geometry components.
org.apache.commons.math.linear - package org.apache.commons.math.linear
Linear algebra support.
org.apache.commons.math.ode - package org.apache.commons.math.ode
This package provides classes to solve Ordinary Differential Equations problems.
org.apache.commons.math.ode.events - package org.apache.commons.math.ode.events
This package provides classes to handle discrete events occurring during Ordinary Differential Equations integration.
org.apache.commons.math.ode.jacobians - package org.apache.commons.math.ode.jacobians
This package was intended to solve Ordinary Differential Equations problems and also compute derivatives of the solution.
org.apache.commons.math.ode.nonstiff - package org.apache.commons.math.ode.nonstiff
This package provides classes to solve non-stiff Ordinary Differential Equations problems.
org.apache.commons.math.ode.sampling - package org.apache.commons.math.ode.sampling
This package provides classes to handle sampling steps during Ordinary Differential Equations integration.
org.apache.commons.math.optimization - package org.apache.commons.math.optimization
This package provides common interfaces for the optimization algorithms provided in sub-packages.
org.apache.commons.math.optimization.direct - package org.apache.commons.math.optimization.direct
This package provides optimization algorithms that don't require derivatives.
org.apache.commons.math.optimization.fitting - package org.apache.commons.math.optimization.fitting
This package provides classes to perform curve fitting.
org.apache.commons.math.optimization.general - package org.apache.commons.math.optimization.general
This package provides optimization algorithms that require derivatives.
org.apache.commons.math.optimization.linear - package org.apache.commons.math.optimization.linear
This package provides optimization algorithms for linear constrained problems.
org.apache.commons.math.optimization.univariate - package org.apache.commons.math.optimization.univariate
Univariate real functions minimum finding algorithms.
org.apache.commons.math.random - package org.apache.commons.math.random
Random number and random data generators.
org.apache.commons.math.special - package org.apache.commons.math.special
Implementations of special functions such as Beta and Gamma.
org.apache.commons.math.stat - package org.apache.commons.math.stat
Data storage, manipulation and summary routines.
org.apache.commons.math.stat.clustering - package org.apache.commons.math.stat.clustering
Clustering algorithms
org.apache.commons.math.stat.correlation - package org.apache.commons.math.stat.correlation
Correlations/Covariance computations.
org.apache.commons.math.stat.descriptive - package org.apache.commons.math.stat.descriptive
Generic univariate summary statistic objects.
org.apache.commons.math.stat.descriptive.moment - package org.apache.commons.math.stat.descriptive.moment
Summary statistics based on moments.
org.apache.commons.math.stat.descriptive.rank - package org.apache.commons.math.stat.descriptive.rank
Summary statistics based on ranks.
org.apache.commons.math.stat.descriptive.summary - package org.apache.commons.math.stat.descriptive.summary
Other summary statistics.
org.apache.commons.math.stat.inference - package org.apache.commons.math.stat.inference
Classes providing hypothesis testing and confidence interval construction.
org.apache.commons.math.stat.ranking - package org.apache.commons.math.stat.ranking
Classes providing rank transformations.
org.apache.commons.math.stat.regression - package org.apache.commons.math.stat.regression
Statistical routines involving multivariate data.
org.apache.commons.math.transform - package org.apache.commons.math.transform
Implementations of transform methods, including Fast Fourier transforms.
org.apache.commons.math.util - package org.apache.commons.math.util
Convenience routines and common data structures used throughout the commons-math library.
orot - Variable in class jhplot.v3d.Canvas3d
 
orthogonal() - Method in class org.apache.commons.math.geometry.Vector3D
Get a vector orthogonal to the instance.
OS_ARCH - Static variable in class jhplot.HPlotJa
The architecture of the current operating system.
OS_NAME - Static variable in class jhplot.HPlotJa
The name of the current operating system.
OS_VERSION - Static variable in class jhplot.HPlotJa
The version of the current operating system.
oscale - Variable in class jhplot.v3d.Canvas3d
 
otrans - Variable in class jhplot.v3d.Canvas3d
 
outerProduct(RealVector) - Method in class org.apache.commons.math.linear.AbstractRealVector
Compute the outer product.
outerProduct(double[]) - Method in class org.apache.commons.math.linear.AbstractRealVector
Compute the outer product.
outerProduct(FieldVector<T>) - Method in class org.apache.commons.math.linear.ArrayFieldVector
Compute the outer product.
outerProduct(ArrayFieldVector<T>) - Method in class org.apache.commons.math.linear.ArrayFieldVector
Compute the outer product.
outerProduct(T[]) - Method in class org.apache.commons.math.linear.ArrayFieldVector
Compute the outer product.
outerProduct(RealVector) - Method in class org.apache.commons.math.linear.ArrayRealVector
Compute the outer product.
outerProduct(ArrayRealVector) - Method in class org.apache.commons.math.linear.ArrayRealVector
Compute the outer product.
outerProduct(double[]) - Method in class org.apache.commons.math.linear.ArrayRealVector
Compute the outer product.
outerProduct(FieldVector<T>) - Method in interface org.apache.commons.math.linear.FieldVector
Compute the outer product.
outerProduct(T[]) - Method in interface org.apache.commons.math.linear.FieldVector
Compute the outer product.
outerProduct(double[]) - Method in class org.apache.commons.math.linear.OpenMapRealVector
Compute the outer product.
outerProduct(RealVector) - Method in interface org.apache.commons.math.linear.RealVector
Compute the outer product.
outerProduct(double[]) - Method in interface org.apache.commons.math.linear.RealVector
Compute the outer product.
outerProduct(SparseFieldVector<T>) - Method in class org.apache.commons.math.linear.SparseFieldVector
Optimized method to compute outer product when both vectors are sparse.
outerProduct(T[]) - Method in class org.apache.commons.math.linear.SparseFieldVector
Compute the outer product.
outerProduct(FieldVector<T>) - Method in class org.apache.commons.math.linear.SparseFieldVector
Compute the outer product.
OutOfRangeException - Exception in org.apache.commons.math.exception
Exception to be thrown when some argument is out of range.
OutOfRangeException(Number, Number, Number) - Constructor for exception org.apache.commons.math.exception.OutOfRangeException
Construct an exception from the mismatched dimensions.
outputWeight() - Method in class jhplot.bsom.Bsom
 
outputWeightP1D() - Method in class jhplot.bsom.Bsom
Return results

P

P0 - Class in jhplot.fit
Polynomial 0-order (p0)
P0() - Constructor for class jhplot.fit.P0
 
P0(String) - Constructor for class jhplot.fit.P0
 
P0(String[], String[]) - Constructor for class jhplot.fit.P0
 
P0D - Class in jhplot
A container to hold data points in one dimension.
P0D(String) - Constructor for class jhplot.P0D
Construct an empty container with a title
P0D(DoubleArrayList) - Constructor for class jhplot.P0D
Construct P0D from DoubleArrayList from cern.colt.list.DoubleArrayList;
P0D(double[]) - Constructor for class jhplot.P0D
Construct P0D from array;
P0D(String, double[]) - Constructor for class jhplot.P0D
Create P0D from an array.
P0D(int[]) - Constructor for class jhplot.P0D
Construct P0D from an integer array.
P0D(String, int[]) - Constructor for class jhplot.P0D
Construct P0D from integers.
P0D(String, boolean, P0D) - Constructor for class jhplot.P0D
Construct a copy from a P0D.
P0D() - Constructor for class jhplot.P0D
Construct an empty container with a title
P0D(String, String) - Constructor for class jhplot.P0D
Construct a P0D from a file.
P0I - Class in jhplot
A container to hold data points in one dimension.
P0I(String) - Constructor for class jhplot.P0I
Construct an empty container with a title
P0I(IntArrayList) - Constructor for class jhplot.P0I
Construct P0I from IntegerArrayList from cern.colt.list.IntegerArrayList;
P0I(Integer[]) - Constructor for class jhplot.P0I
Construct P0I from array;
P0I(String, int[]) - Constructor for class jhplot.P0I
Create P0I from an array.
P0I(int[]) - Constructor for class jhplot.P0I
Construct P0I from an integer array.
P0I(String, Integer[]) - Constructor for class jhplot.P0I
Construct P0I from integers.
P0I(String, boolean, P0I) - Constructor for class jhplot.P0I
Construct a copy from a P0I.
P0I() - Constructor for class jhplot.P0I
Construct an empty container with a title
P0I(String, String) - Constructor for class jhplot.P0I
Construct a P0I from a file.
P1 - Class in jhplot.fit
Polynomial 1-order (p0+p1*x)
P1() - Constructor for class jhplot.fit.P1
 
P1(String) - Constructor for class jhplot.fit.P1
 
P1(String[], String[]) - Constructor for class jhplot.fit.P1
 
P1D - Class in jhplot
A container to hold data points with 1st and 2nd level errors.
P1D(String) - Constructor for class jhplot.P1D
Construct an empty container with a title
P1D(String, int) - Constructor for class jhplot.P1D
Construct an empty container with a title
P1D(String, Color) - Constructor for class jhplot.P1D
Construct an empty container with a title and color for points
P1D(String, Color, int) - Constructor for class jhplot.P1D
Construct an empty container with a title and color and symbol style for points
P1D(P0D, P0D) - Constructor for class jhplot.P1D
Construct a container from pairs of P0D (one for X, second for Y)
P1D(String, P0D, P0D) - Constructor for class jhplot.P1D
Construct a container from pairs of P0D (one for X, second for Y)
P1D(Cloud2D) - Constructor for class jhplot.P1D
Construct P1D from a Cloud2D
P1D(String, double[], double[]) - Constructor for class jhplot.P1D
Construct a container from pairs X and Y
P1D(String, boolean, P1D) - Constructor for class jhplot.P1D
Construct a new copy
P1D(DataHolder, String, int, int) - Constructor for class jhplot.P1D
Create P1D data holder from multidimensional data holder.
P1D(DataHolder, int, int) - Constructor for class jhplot.P1D
Create P1D data holder from multidimensional data holder.
P1D(String, String) - Constructor for class jhplot.P1D
Construct a P1D from a file.
P1D(IDataPointSet) - Constructor for class jhplot.P1D
Create a P1D container from IDataPointSet.
P1D(String, H1D, boolean, boolean) - Constructor for class jhplot.P1D
Create a P1D container from a histogram
P1D(H1D, boolean, boolean) - Constructor for class jhplot.P1D
Create a P1D container from a histogram.
P1D(String, H1D, boolean) - Constructor for class jhplot.P1D
Create a P1D container from a histogram.
P1D(H1D, boolean) - Constructor for class jhplot.P1D
Create a P1D container from a histogram.
P1D(H1D) - Constructor for class jhplot.P1D
Create a P1D container from a histogram.
P1D(String, H1D) - Constructor for class jhplot.P1D
Create a P1D container from a histogram.
P1D(String, URL) - Constructor for class jhplot.P1D
Construct a P1D from a file on the we web.
P1D(URL) - Constructor for class jhplot.P1D
Construct a P1D from a file on the we web.
P2 - Class in jhplot.fit
Polynomial 2-order (p0+p1*x+p2*x*x)
P2() - Constructor for class jhplot.fit.P2
 
P2(String) - Constructor for class jhplot.fit.P2
 
P2(String[], String[]) - Constructor for class jhplot.fit.P2
 
P2D - Class in jhplot
A container to hold data points in X,Y,Z.
P2D(String) - Constructor for class jhplot.P2D
Construct an empty container with a title
P2D() - Constructor for class jhplot.P2D
Construct an empty container with a title
P2D(String, String) - Constructor for class jhplot.P2D
Construct a P2D from a file.
P3 - Class in jhplot.fit
Polynomial 3rd-order.
P3() - Constructor for class jhplot.fit.P3
 
P3(String) - Constructor for class jhplot.fit.P3
 
P3(String[], String[]) - Constructor for class jhplot.fit.P3
 
P3D - Class in jhplot
A container to hold data points in X,Y,Z and their extensions dX,dY,dZ.
P3D(String) - Constructor for class jhplot.P3D
Construct an empty container with a title
P3D() - Constructor for class jhplot.P3D
Construct an empty container with a title
P3D(String, String) - Constructor for class jhplot.P3D
Construct a P3D from a file.
P4 - Class in jhplot.fit
Polynomial 4th-order.
P4() - Constructor for class jhplot.fit.P4
 
P4(String) - Constructor for class jhplot.fit.P4
 
P4(String[], String[]) - Constructor for class jhplot.fit.P4
 
P5 - Class in jhplot.fit
Polynomial 5th-order.
P5() - Constructor for class jhplot.fit.P5
 
P5(String) - Constructor for class jhplot.fit.P5
 
P5(String[], String[]) - Constructor for class jhplot.fit.P5
 
P6 - Class in jhplot.fit
Polynomial 6th-order.
P6() - Constructor for class jhplot.fit.P6
 
P6(String) - Constructor for class jhplot.fit.P6
 
P6(String[], String[]) - Constructor for class jhplot.fit.P6
 
padding(int, int, double[]) - Static method in class jhplot.math.ArrayMathUtils
Fills in with zero to get to the desired length; original array with be at the specified position.
padding(int, int, int[]) - Static method in class jhplot.math.ArrayMathUtils
Fills in with zeroes to get to the specified length; original array with be at the specified position
paint(Graphics) - Method in class jhplot.v3d.Animation
 
paint(Graphics) - Method in class jhplot.v3d.Canvas3d
 
pairedT(double[], double[]) - Static method in class org.apache.commons.math.stat.inference.TestUtils
 
pairedT(double[], double[]) - Method in interface org.apache.commons.math.stat.inference.TTest
Computes a paired, 2-sample t-statistic based on the data in the input arrays.
pairedT(double[], double[]) - Method in class org.apache.commons.math.stat.inference.TTestImpl
Computes a paired, 2-sample t-statistic based on the data in the input arrays.
pairedTTest(double[], double[], double) - Static method in class org.apache.commons.math.stat.inference.TestUtils
 
pairedTTest(double[], double[]) - Static method in class org.apache.commons.math.stat.inference.TestUtils
 
pairedTTest(double[], double[]) - Method in interface org.apache.commons.math.stat.inference.TTest
Returns the observed significance level, or p-value, associated with a paired, two-sample, two-tailed t-test based on the data in the input arrays.
pairedTTest(double[], double[], double) - Method in interface org.apache.commons.math.stat.inference.TTest
Performs a paired t-test evaluating the null hypothesis that the mean of the paired differences between sample1 and sample2 is 0 in favor of the two-sided alternative that the mean paired difference is not equal to 0, with significance level alpha.
pairedTTest(double[], double[]) - Method in class org.apache.commons.math.stat.inference.TTestImpl
Returns the observed significance level, or p-value, associated with a paired, two-sample, two-tailed t-test based on the data in the input arrays.
pairedTTest(double[], double[], double) - Method in class org.apache.commons.math.stat.inference.TTestImpl
Performs a paired t-test evaluating the null hypothesis that the mean of the paired differences between sample1 and sample2 is 0 in favor of the two-sided alternative that the mean paired difference is not equal to 0, with significance level alpha.
param(String, String) - Method in class jhplot.v3d.Model3d
 
param(String, boolean) - Method in class jhplot.v3d.Model3d
 
param(String, int) - Method in class jhplot.v3d.Model3d
 
param(String, float) - Method in class jhplot.v3d.Model3d
 
parameter(String) - Method in class hep.aida.ref.fitter.InternalFitFunction
 
parameter(String) - Method in class hep.aida.ref.function.AbstractDevModelFunction
 
parameter(String) - Method in class hep.aida.ref.function.AbstractIFunction
 
parameter(String) - Method in class hep.aida.ref.function.BaseModelFunction
 
parameter(String) - Method in class hep.aida.ref.function.FunctionCore
 
parameter(String) - Method in class hep.aida.ref.function.IFunctionCoreNotNorm
 
parameter(String) - Method in class hep.aida.ref.function.SumOfFunctions
 
PARAMETER_NAME_CHANGED - Static variable in class hep.aida.ref.function.FunctionChangedEvent
 
PARAMETER_VALUE_CHANGED - Static variable in class hep.aida.ref.function.FunctionChangedEvent
 
parameterGradient(double[]) - Method in class hep.aida.ref.function.AbstractDevModelFunction
 
parameterGradient(double[]) - Method in class hep.aida.ref.function.AbstractIFunction
 
parameterGradient(double[]) - Method in class hep.aida.ref.function.BaseModelFunction
 
parameterGradient(double[]) - Method in class hep.aida.ref.function.ExponentialCoreNorm
 
parameterGradient(double[]) - Method in class hep.aida.ref.function.ExponentialCoreNotNorm
 
parameterGradient(double[]) - Method in class hep.aida.ref.function.FunctionCore
 
parameterGradient(double[]) - Method in class hep.aida.ref.function.GaussianCore2DNorm
 
parameterGradient(double[]) - Method in class hep.aida.ref.function.GaussianCore2DNotNorm
 
parameterGradient(double[]) - Method in class hep.aida.ref.function.GaussianCoreNorm
 
parameterGradient(double[]) - Method in class hep.aida.ref.function.GaussianCoreNotNorm
 
parameterGradient(double[]) - Method in class hep.aida.ref.function.IFunctionCoreNotNorm
 
parameterGradient(double[]) - Method in class hep.aida.ref.function.JELFunctionCore
 
parameterGradient(double[]) - Method in class hep.aida.ref.function.LorentzianCoreNotNorm
 
parameterGradient(double[]) - Method in class hep.aida.ref.function.MoyalCoreNotNorm
 
parameterGradient(double[]) - Method in class hep.aida.ref.function.PolynomialCoreNorm
 
parameterGradient(double[]) - Method in class hep.aida.ref.function.PolynomialCoreNotNorm
 
ParameterizedODE - Interface in org.apache.commons.math.ode.jacobians
Deprecated. as of 2.2 the complete package is deprecated, it will be replaced in 3.0 by a completely rewritten implementation
parameterNames() - Method in class hep.aida.ref.fitter.InternalFitFunction
 
parameterNames() - Method in class hep.aida.ref.function.AbstractDevModelFunction
 
parameterNames() - Method in class hep.aida.ref.function.AbstractIFunction
 
parameterNames() - Method in class hep.aida.ref.function.BaseModelFunction
 
parameterNames() - Method in class hep.aida.ref.function.FunctionCore
 
parameterNames() - Method in class hep.aida.ref.function.SumOfFunctions
 
parameters() - Method in class hep.aida.ref.fitter.InternalFitFunction
 
parameters() - Method in class hep.aida.ref.function.AbstractDevModelFunction
 
parameters() - Method in class hep.aida.ref.function.AbstractIFunction
 
parameters() - Method in class hep.aida.ref.function.BaseModelFunction
 
parameters() - Method in class hep.aida.ref.function.FunctionCore
 
parameters() - Method in class hep.aida.ref.function.IFunctionCoreNotNorm
 
parameters() - Method in class hep.aida.ref.function.SumOfFunctions
 
ParametricGaussianFunction - Class in org.apache.commons.math.optimization.fitting
A Gaussian function.
ParametricGaussianFunction() - Constructor for class org.apache.commons.math.optimization.fitting.ParametricGaussianFunction
Constructs an instance.
ParametricRealFunction - Interface in org.apache.commons.math.optimization.fitting
An interface representing a real function that depends on one independent variable plus some extra parameters.
PArc(float, float, float, float, float, float) - Static method in class jhplot.jadraw.Diagram
 
parse() - Method in class hep.aida.ref.function.JELCompiledExpression
 
parse() - Method in class jhplot.F1D
Parse the function.
parse(MappingStrategy, Reader) - Method in class jhplot.io.csv.bean.CsvToBean
 
parse(String) - Method in class org.apache.commons.math.complex.ComplexFormat
Parses a string to produce a Complex object.
parse(String, ParsePosition) - Method in class org.apache.commons.math.complex.ComplexFormat
Parses a string to produce a Complex object.
parse(String) - Method in class org.apache.commons.math.fraction.BigFractionFormat
Parses a string to produce a BigFraction object.
parse(String, ParsePosition) - Method in class org.apache.commons.math.fraction.BigFractionFormat
Parses a string to produce a BigFraction object.
parse(String) - Method in class org.apache.commons.math.fraction.FractionFormat
Parses a string to produce a Fraction object.
parse(String, ParsePosition) - Method in class org.apache.commons.math.fraction.FractionFormat
Parses a string to produce a Fraction object.
parse(String, ParsePosition) - Method in class org.apache.commons.math.fraction.ProperBigFractionFormat
Parses a string to produce a BigFraction object.
parse(String, ParsePosition) - Method in class org.apache.commons.math.fraction.ProperFractionFormat
Parses a string to produce a Fraction object.
parse(String) - Method in class org.apache.commons.math.geometry.Vector3DFormat
Parses a string to produce a Vector3D object.
parse(String, ParsePosition) - Method in class org.apache.commons.math.geometry.Vector3DFormat
Parses a string to produce a Vector3D object.
parse(String) - Method in class org.apache.commons.math.linear.RealVectorFormat
Parses a string to produce a RealVector object.
parse(String, ParsePosition) - Method in class org.apache.commons.math.linear.RealVectorFormat
Parses a string to produce a RealVector object.
parseContour() - Method in class jhplot.jadraw.JaAxes
Prepare a contour plot
parseDirName(String) - Static method in class hep.aida.ref.AidaUtils
 
parseH2D() - Method in class jhplot.jadraw.JaAxes
Prepare a contour plot to display H2D histograms
parseInt(String) - Method in class hep.aida.ref.function.JELCompiledExpression
 
parseName(String) - Static method in class hep.aida.ref.AidaUtils
 
parseObject(String, ParsePosition) - Method in class org.apache.commons.math.complex.ComplexFormat
Parses a string to produce a object.
parseObject(String, ParsePosition) - Method in class org.apache.commons.math.geometry.Vector3DFormat
Parses a string to produce a object.
parseObject(String, ParsePosition) - Method in class org.apache.commons.math.linear.RealVectorFormat
Parses a string to produce a object.
parseOptions(String) - Static method in class hep.aida.ref.AidaUtils
Parse AIDA options.
parseString(String) - Static method in class hep.aida.ref.AidaUtils
 
partialDerivative(int) - Method in interface org.apache.commons.math.analysis.DifferentiableMultivariateRealFunction
Returns the partial derivative of the function with respect to a point coordinate.
partialDerivativeX(double, double) - Method in class org.apache.commons.math.analysis.interpolation.BicubicSplineInterpolatingFunction
 
partialDerivativeXX(double, double) - Method in class org.apache.commons.math.analysis.interpolation.BicubicSplineInterpolatingFunction
 
partialDerivativeXY(double, double) - Method in class org.apache.commons.math.analysis.interpolation.BicubicSplineInterpolatingFunction
 
partialDerivativeY(double, double) - Method in class org.apache.commons.math.analysis.interpolation.BicubicSplineInterpolatingFunction
 
partialDerivativeYY(double, double) - Method in class org.apache.commons.math.analysis.interpolation.BicubicSplineInterpolatingFunction
 
Partition - Class in jminhep.cluster
Interface class to all clustering algorithms.
Partition(DataHolder) - Constructor for class jminhep.cluster.Partition
 
PascalDistribution - Interface in org.apache.commons.math.distribution
The Pascal distribution.
PascalDistributionImpl - Class in org.apache.commons.math.distribution
The default implementation of PascalDistribution.
PascalDistributionImpl(int, double) - Constructor for class org.apache.commons.math.distribution.PascalDistributionImpl
Create a Pascal distribution with the given number of trials and probability of success.
pathNameOfPath(String) - Static method in class jhplot.v3d.Util
 
PCA - Class in jhplot.stat
Perform a principle component analysis
PCA(double[][]) - Constructor for class jhplot.stat.PCA
Initialize 2D PCA analysis
PCA(P1D) - Constructor for class jhplot.stat.PCA
Perform PCA analysis using P1D object (in 2D).
PearsonsCorrelation - Class in org.apache.commons.math.stat.correlation
Computes Pearson's product-moment correlation coefficients for pairs of arrays or columns of a matrix.
PearsonsCorrelation() - Constructor for class org.apache.commons.math.stat.correlation.PearsonsCorrelation
Create a PearsonsCorrelation instance without data
PearsonsCorrelation(double[][]) - Constructor for class org.apache.commons.math.stat.correlation.PearsonsCorrelation
Create a PearsonsCorrelation from a rectangular array whose columns represent values of variables to be correlated.
PearsonsCorrelation(RealMatrix) - Constructor for class org.apache.commons.math.stat.correlation.PearsonsCorrelation
Create a PearsonsCorrelation from a RealMatrix whose columns represent variables to be correlated.
PearsonsCorrelation(Covariance) - Constructor for class org.apache.commons.math.stat.correlation.PearsonsCorrelation
Create a PearsonsCorrelation from a Covariance.
PearsonsCorrelation(RealMatrix, int) - Constructor for class org.apache.commons.math.stat.correlation.PearsonsCorrelation
Create a PearsonsCorrelation from a covariance matrix.
percentageValue() - Method in class org.apache.commons.math.fraction.BigFraction
Gets the fraction percentage as a double.
percentile(double[], double) - Static method in class jhplot.math.ArrayMathUtils
Gives the percentile of an array
percentile(int[], double) - Static method in class jhplot.math.ArrayMathUtils
Gives the percentile of an array.
Percentile - Class in org.apache.commons.math.stat.descriptive.rank
Provides percentile computation.
Percentile() - Constructor for class org.apache.commons.math.stat.descriptive.rank.Percentile
Constructs a Percentile with a default quantile value of 50.0.
Percentile(double) - Constructor for class org.apache.commons.math.stat.descriptive.rank.Percentile
Constructs a Percentile with the specific quantile value.
Percentile(Percentile) - Constructor for class org.apache.commons.math.stat.descriptive.rank.Percentile
Copy constructor, creates a new Percentile identical to the original
percentile(double[], double) - Static method in class org.apache.commons.math.stat.StatUtils
Returns an estimate of the pth percentile of the values in the values array.
percentile(double[], int, int, double) - Static method in class org.apache.commons.math.stat.StatUtils
Returns an estimate of the pth percentile of the values in the values array, starting with the element in (0-based) position begin in the array and including length values.
PermutationChromosome<T> - Interface in org.apache.commons.math.genetics
Interface indicating that the chromosome represents a permutation of objects.
permute(int[], Object[], boolean) - Static method in class jhplot.math.SortUtils
Rearrange the specified data according to the specified permutation.
perp() - Method in class hephysics.vec.Hep3Vector
Transverse
perp() - Method in class hephysics.vec.HepLorentzVector
Transverse momentum.
perp2() - Method in class hephysics.vec.Hep3Vector
Transverse
perp2() - Method in class hephysics.vec.HepLorentzVector
Transverse momentum squared
persp - Variable in class jhplot.v3d.Model3d
 
PFile - Class in jhplot.io
Write or read objects in sequential order using Google's Prototype Buffer scheme.
PFile(String, String, boolean) - Constructor for class jhplot.io.PFile
Open a file to write/read objects to/from a file in sequential order.
PFile(String) - Constructor for class jhplot.io.PFile
Open file for reading objects from a serialized file in sequential order.
PFile(String, String) - Constructor for class jhplot.io.PFile
Open file for reading objects from a serialized file in sequential order.
PFileBrowser - Class in jhplot.io
A GUI to browser data stored in a PFile format (extension "pbu").
PFileBrowser(HPlot, PFile, boolean) - Constructor for class jhplot.io.PFileBrowser
Open PFile file in a pop-up window to browser it and check all objects
phi() - Method in class hephysics.vec.Hep3Vector
Phi
phi() - Method in class hephysics.vec.HepLorentzVector
Phi
phi() - Method in class hephysics.vec.SpacePoint
Cylindrical phi
phi(Hep3Vector) - Static method in class hephysics.vec.VecOp
 
PI - Static variable in class org.apache.commons.math.util.FastMath
Archimede's constant PI, ratio of circle circumference to diameter.
PI_2 - Static variable in interface jhplot.math.num.Constants
2 π.
Picture - Class in jhplot.shapes
Insert a picture in the PNG or GIF format.
Picture(double, double, String) - Constructor for class jhplot.shapes.Picture
Create a picture object in the USER coordinates
Picture(double, double, Image) - Constructor for class jhplot.shapes.Picture
Create a picture object in the USER coordinates
PLine(float, float) - Static method in class jhplot.jadraw.Diagram
Get a photon line object
PLoop(float, float) - Static method in class jhplot.jadraw.Diagram
Get a photon loop object
plus(Complex) - Method in class jhplot.math.Complex
Addition of Complex numbers (doesn't change this Complex number).
plus(double[]...) - Static method in class jhplot.math.LinearAlgebra
Element-wise sum of any number of arrays.
plus(double[], double) - Static method in class jhplot.math.LinearAlgebra
Add a scalar value to each element of an array.
plus(double[][], double[][]) - Static method in class jhplot.math.LinearAlgebra
Element-wise sum of two matrices
plus(double[][], double) - Static method in class jhplot.math.LinearAlgebra
Add a scalar to each element of a matrix.
plus(ValueErr, double) - Method in class jhplot.math.ValueErr
Add 2 values with correlation
plus(ValueErr, ValueErr, double) - Static method in class jhplot.math.ValueErr
Adding 2 values with correlation
plus(ValueErr) - Method in class jhplot.math.ValueErr
Add a ValueErr number to this ValueErr number without correlaton
plus(ValueErr, ValueErr) - Static method in class jhplot.math.ValueErr
Add two ValueErr numbers with no correlation
plus(double) - Method in class jhplot.math.ValueErr
Add an error free double number to this ValueErr number
plus(double, ValueErr) - Static method in class jhplot.math.ValueErr
Add a ValueErr number to an error free double
plus(double, double) - Static method in class jhplot.math.ValueErr
Add an error free double number to an error free double and return sum
PLUS_I - Static variable in class org.apache.commons.math.geometry.Vector3D
First canonical vector (coordinates: 1, 0, 0).
PLUS_INF() - Method in class hep.aida.ref.function.RangeSet
 
PLUS_J - Static variable in class org.apache.commons.math.geometry.Vector3D
Second canonical vector (coordinates: 0, 1, 0).
PLUS_K - Static variable in class org.apache.commons.math.geometry.Vector3D
Third canonical vector (coordinates: 0, 0, 1).
plusEquals(ValueErr, double) - Method in class jhplot.math.ValueErr
Add a ValueErr number to this ValueErr number and replace this with the sum using a correlation
plusEquals(ValueErr) - Method in class jhplot.math.ValueErr
Add a ValueErr number to this ValueErr number and replace this with the sum without correlation
plusEquals(double) - Method in class jhplot.math.ValueErr
Add double number to this ValueErr number and replace this with the sum
plusError(int, double) - Method in interface hep.aida.ref.dataset.binner.BinError
Get the plus error on a bin.
plusError(int[]) - Method in interface hep.aida.ref.dataset.binner.Binner
Get the plus error on a bin.
plusError(int[]) - Method in class hep.aida.ref.dataset.binner.DefaultBinner
Get the plus error on a bin.
plusError(int, double) - Method in class hep.aida.ref.dataset.binner.EfficiencyBinError
Get the plus error on a bin.
plusError(int, double) - Method in class hep.aida.ref.dataset.binner.GaussianBinError
Get the plus error on a bin.
plusError(int, double) - Method in class hep.aida.ref.dataset.binner.PoissonBinError
Get the plus error on a bin.
plusError(int) - Method in class hep.aida.ref.histogram.binner.BasicBinner1D
 
plusError(int, int) - Method in class hep.aida.ref.histogram.binner.BasicBinner2D
 
plusError(int, int, int) - Method in class hep.aida.ref.histogram.binner.BasicBinner3D
 
plusError(int) - Method in interface hep.aida.ref.histogram.binner.Binner1D
 
plusError(int, int) - Method in interface hep.aida.ref.histogram.binner.Binner2D
 
plusError(int, int, int) - Method in interface hep.aida.ref.histogram.binner.Binner3D
 
plusError(int) - Method in class hep.aida.ref.histogram.binner.EfficiencyBinner1D
 
plusError(int, int) - Method in class hep.aida.ref.histogram.binner.EfficiencyBinner2D
 
plusError(int, int, int) - Method in class hep.aida.ref.histogram.binner.EfficiencyBinner3D
 
PND - Class in jhplot
/** A container to hold data points in many dimensions.
PND(String) - Constructor for class jhplot.PND
Construct an empty container with a title
PND(String, boolean, PND) - Constructor for class jhplot.PND
Construct a copy from a PND.
PND(String, String) - Constructor for class jhplot.PND
Construct a container with a title from external file (see the method toFile() how to write such ASCII file).
PND() - Constructor for class jhplot.PND
Construct an empty container with no title
PNI - Class in jhplot
/** A container to hold data points in many dimensions.
PNI(String) - Constructor for class jhplot.PNI
Construct an empty container with a title
PNI(String, boolean, PNI) - Constructor for class jhplot.PNI
Construct a copy from a PNI.
PNI(String, String) - Constructor for class jhplot.PNI
Construct a container with a title from external file (see the method toFile() how to write such ASCII file)
PNI() - Constructor for class jhplot.PNI
Construct an empty container with no title
point(int) - Method in class hep.aida.ref.histogram.DataPointSet
 
Poisson - Class in jhplot.fit
Poisson distribution.
Poisson() - Constructor for class jhplot.fit.Poisson
 
Poisson(String) - Constructor for class jhplot.fit.Poisson
 
Poisson(String[], String[]) - Constructor for class jhplot.fit.Poisson
 
Poisson - Class in jhplot.math.num.pdf
The Poisson distribution.
Poisson() - Constructor for class jhplot.math.num.pdf.Poisson
Default distribution.
Poisson(double) - Constructor for class jhplot.math.num.pdf.Poisson
Create a distribution with the given mean.
Poisson - Class in jhplot.math
Build a Poisson distribution
Poisson(Random, double) - Constructor for class jhplot.math.Poisson
Build a Posson generator
Poisson(double) - Constructor for class jhplot.math.Poisson
Build a Poisson random numbers with a given lambda
Poisson(long, double) - Constructor for class jhplot.math.Poisson
Build a Posson random numbers
PoissonBinError - Class in hep.aida.ref.dataset.binner
This class calculates the error on the bin assuming a Poisson distribution.
PoissonBinError() - Constructor for class hep.aida.ref.dataset.binner.PoissonBinError
 
PoissonDistribution - Interface in org.apache.commons.math.distribution
Interface representing the Poisson Distribution.
PoissonDistributionImpl - Class in org.apache.commons.math.distribution
Implementation for the PoissonDistribution.
PoissonDistributionImpl(double) - Constructor for class org.apache.commons.math.distribution.PoissonDistributionImpl
Create a new Poisson distribution with the given the mean.
PoissonDistributionImpl(double, double, int) - Constructor for class org.apache.commons.math.distribution.PoissonDistributionImpl
Create a new Poisson distribution with the given mean, convergence criterion and maximum number of iterations.
PoissonDistributionImpl(double, double) - Constructor for class org.apache.commons.math.distribution.PoissonDistributionImpl
Create a new Poisson distribution with the given mean and convergence criterion.
PoissonDistributionImpl(double, int) - Constructor for class org.apache.commons.math.distribution.PoissonDistributionImpl
Create a new Poisson distribution with the given mean and maximum number of iterations.
PoissonDistributionImpl(double, NormalDistribution) - Constructor for class org.apache.commons.math.distribution.PoissonDistributionImpl
Deprecated. as of 2.1 (to avoid possibly inconsistent state, the "NormalDistribution" will be instantiated internally)
PoissonRandomVariable - Class in jhplot.math.num.random
A random variable generator for the Poisson distribution.
PoissonRandomVariable() - Constructor for class jhplot.math.num.random.PoissonRandomVariable
Default constructor.
PoissonRandomVariable(double) - Constructor for class jhplot.math.num.random.PoissonRandomVariable
Create a random variable with the given mean.
PoissonRandomVariable(double, RNG) - Constructor for class jhplot.math.num.random.PoissonRandomVariable
Create a random variable with the given parameters.
polar2Complex(double, double) - Static method in class org.apache.commons.math.complex.ComplexUtils
Creates a complex number from the given polar representation.
POLYGON - Static variable in class jhplot.shapes.HShape
 
PolynomialCoreNorm - Class in hep.aida.ref.function
Normalised Polynomial (Pn) distribution in the form: f = (1 + p1*x + p2*x*x + ...
PolynomialCoreNorm(String) - Constructor for class hep.aida.ref.function.PolynomialCoreNorm
 
PolynomialCoreNorm(String, double[]) - Constructor for class hep.aida.ref.function.PolynomialCoreNorm
 
PolynomialCoreNotNorm - Class in hep.aida.ref.function
Not normalised Polynomial (Pn) distribution in the form: f = p0 + p1*x + p2*x*x + ...
PolynomialCoreNotNorm(int, int) - Constructor for class hep.aida.ref.function.PolynomialCoreNotNorm
 
PolynomialCoreNotNorm(int, int, double[]) - Constructor for class hep.aida.ref.function.PolynomialCoreNotNorm
 
PolynomialCoreNotNorm(String) - Constructor for class hep.aida.ref.function.PolynomialCoreNotNorm
 
PolynomialCoreNotNorm(String, double[]) - Constructor for class hep.aida.ref.function.PolynomialCoreNotNorm
 
polynomialDerivative() - Method in class org.apache.commons.math.analysis.polynomials.PolynomialFunction
Returns the derivative as a PolynomialRealFunction
PolynomialFitter - Class in org.apache.commons.math.optimization.fitting
This class implements a curve fitting specialized for polynomials.
PolynomialFitter(int, DifferentiableMultivariateVectorialOptimizer) - Constructor for class org.apache.commons.math.optimization.fitting.PolynomialFitter
Simple constructor.
PolynomialFunction - Class in org.apache.commons.math.analysis.polynomials
Immutable representation of a real polynomial function with real coefficients.
PolynomialFunction(double[]) - Constructor for class org.apache.commons.math.analysis.polynomials.PolynomialFunction
Construct a polynomial with the given coefficients.
PolynomialFunctionLagrangeForm - Class in org.apache.commons.math.analysis.polynomials
Implements the representation of a real polynomial function in Lagrange Form.
PolynomialFunctionLagrangeForm(double[], double[]) - Constructor for class org.apache.commons.math.analysis.polynomials.PolynomialFunctionLagrangeForm
Construct a Lagrange polynomial with the given abscissas and function values.
PolynomialFunctionNewtonForm - Class in org.apache.commons.math.analysis.polynomials
Implements the representation of a real polynomial function in Newton Form.
PolynomialFunctionNewtonForm(double[], double[]) - Constructor for class org.apache.commons.math.analysis.polynomials.PolynomialFunctionNewtonForm
Construct a Newton polynomial with the given a[] and c[].
PolynomialModelFunction - Class in hep.aida.ref.function
 
PolynomialModelFunction(String) - Constructor for class hep.aida.ref.function.PolynomialModelFunction
 
polynomialSplineDerivative() - Method in class org.apache.commons.math.analysis.polynomials.PolynomialSplineFunction
Returns the derivative of the polynomial spline function as a PolynomialSplineFunction
PolynomialSplineFunction - Class in org.apache.commons.math.analysis.polynomials
Represents a polynomial spline function.
PolynomialSplineFunction(double[], PolynomialFunction[]) - Constructor for class org.apache.commons.math.analysis.polynomials.PolynomialSplineFunction
Construct a polynomial spline function with the given segment delimiters and interpolating polynomials.
PolynomialsUtils - Class in org.apache.commons.math.analysis.polynomials
A collection of static methods that operate on or return polynomials.
Population - Interface in org.apache.commons.math.genetics
A collection of chromosomes that facilitates generational evolution.
Position - Class in jhplot.v3d
 
Position() - Constructor for class jhplot.v3d.Position
 
Position(Position) - Constructor for class jhplot.v3d.Position
 
POSITIVE_INFINITY - Static variable in class org.apache.commons.math.geometry.Vector3D
A vector with all coordinates set to positive infinity.
postCompose(UnivariateRealFunction) - Method in class org.apache.commons.math.analysis.ComposableFunction
Postcompose the instance with another function.
Pow - Class in jhplot.fit
Power-law distribution.
Pow() - Constructor for class jhplot.fit.Pow
 
Pow(String) - Constructor for class jhplot.fit.Pow
 
Pow(String[], String[]) - Constructor for class jhplot.fit.Pow
 
pow(ValueErr, double) - Static method in class jhplot.math.ValueErr
returns an ValueErr number raised to an error free power
pow(double, ValueErr) - Static method in class jhplot.math.ValueErr
returns an error free number raised to an ValueErr power
pow(ValueErr, ValueErr, double) - Static method in class jhplot.math.ValueErr
returns a ValueErr number raised to a ValueErr power with correlation
pow(ValueErr, ValueErr) - Static method in class jhplot.math.ValueErr
ValueErr number raised to a ValueErr power with no correlation
POW - Static variable in class org.apache.commons.math.analysis.BinaryFunction
Deprecated. The FastMath.pow method wrapped as a BinaryFunction.
pow(Complex) - Method in class org.apache.commons.math.complex.Complex
Returns of value of this complex number raised to the power of x.
pow(Dfp, int) - Static method in class org.apache.commons.math.dfp.DfpMath
Raises base to the power a by successive squaring.
pow(Dfp, Dfp) - Static method in class org.apache.commons.math.dfp.DfpMath
Computes x to the y power.
pow(int) - Method in class org.apache.commons.math.fraction.BigFraction
Returns a integer whose value is (thisexponent), returning the result in reduced form.
pow(long) - Method in class org.apache.commons.math.fraction.BigFraction
Returns a BigFraction whose value is (thisexponent), returning the result in reduced form.
pow(BigInteger) - Method in class org.apache.commons.math.fraction.BigFraction
Returns a BigFraction whose value is (thisexponent), returning the result in reduced form.
pow(double) - Method in class org.apache.commons.math.fraction.BigFraction
Returns a double whose value is (thisexponent), returning the result in reduced form.
pow(double, double) - Static method in class org.apache.commons.math.util.FastMath
Power function.
pow(int, int) - Static method in class org.apache.commons.math.util.MathUtils
Raise an int to an int power.
pow(int, long) - Static method in class org.apache.commons.math.util.MathUtils
Raise an int to a long power.
pow(long, int) - Static method in class org.apache.commons.math.util.MathUtils
Raise a long to an int power.
pow(long, long) - Static method in class org.apache.commons.math.util.MathUtils
Raise a long to a long power.
pow(BigInteger, int) - Static method in class org.apache.commons.math.util.MathUtils
Raise a BigInteger to an int power.
pow(BigInteger, long) - Static method in class org.apache.commons.math.util.MathUtils
Raise a BigInteger to a long power.
pow(BigInteger, BigInteger) - Static method in class org.apache.commons.math.util.MathUtils
Raise a BigInteger to a BigInteger power.
PowellOptimizer - Class in org.apache.commons.math.optimization.direct
Powell algorithm.
PowellOptimizer() - Constructor for class org.apache.commons.math.optimization.direct.PowellOptimizer
Constructor with default line search tolerances (see the other constructor).
PowellOptimizer(double) - Constructor for class org.apache.commons.math.optimization.direct.PowellOptimizer
Constructor with default absolute line search tolerances (see the other constructor).
PowellOptimizer(double, double) - Constructor for class org.apache.commons.math.optimization.direct.PowellOptimizer
 
power10(int) - Method in class org.apache.commons.math.dfp.Dfp
Return the specified power of 10.
power10K(int) - Method in class org.apache.commons.math.dfp.Dfp
Get the specified power of 10000.
PowerSeries - Class in jhplot.math.num
This class provides the means to evaluate infinite power series (1).
PowModified - Class in jhplot.fit
Power-law distribution with additional tail suppression.
PowModified() - Constructor for class jhplot.fit.PowModified
 
PowModified(String) - Constructor for class jhplot.fit.PowModified
 
PowModified(String[], String[]) - Constructor for class jhplot.fit.PowModified
 
prand(double) - Static method in class jhpro.stat.limit.LimitCalculatorGui
 
PReader - Class in jhplot.io
Some generic methods to read data and to return BufferedReader.
PReader() - Constructor for class jhplot.io.PReader
 
precondition(double[], double[]) - Method in interface org.apache.commons.math.optimization.general.Preconditioner
Precondition a search direction.
Preconditioner - Interface in org.apache.commons.math.optimization.general
This interface represents a preconditioner for differentiable scalar objective function optimizers.
predict(NeuralData) - Method in class jhplot.HNeuralNet
Evaluate data using currenr NN
predict(P0D) - Method in class jhplot.HNeuralNet
Generate prediction for input data
predict(BasicNeuralDataSet) - Method in class jhplot.HNeuralNet
Evaluate data set using currenr NN
predict(PND) - Method in class jhplot.HNeuralNet
Generate predictions for all input data
predict() - Method in class jhplot.HNeuralNet
Generate predictions for the data.
predict(double) - Method in class org.apache.commons.math.stat.regression.SimpleRegression
Returns the "predicted" y value associated with the supplied x value, based on the data that has been added to the model when this method is activated.
preferredSize() - Method in class jhplot.v3d.Canvas3d
 
prefix - Static variable in class hep.aida.ref.function.FunctionCatalog
 
PREFS_FILENAME - Static variable in class jhplot.HPlotJa
The file where user-selected preferences will be stored.
preMultiply(FieldMatrix<T>) - Method in class org.apache.commons.math.linear.AbstractFieldMatrix
Returns the result premultiplying this by m.
preMultiply(T[]) - Method in class org.apache.commons.math.linear.AbstractFieldMatrix
Returns the (row) vector result of premultiplying this by the vector v.
preMultiply(FieldVector<T>) - Method in class org.apache.commons.math.linear.AbstractFieldMatrix
Returns the (row) vector result of premultiplying this by the vector v.
preMultiply(RealMatrix) - Method in class org.apache.commons.math.linear.AbstractRealMatrix
Returns the result premultiplying this by m.
preMultiply(double[]) - Method in class org.apache.commons.math.linear.AbstractRealMatrix
Returns the (row) vector result of premultiplying this by the vector v.
preMultiply(RealVector) - Method in class org.apache.commons.math.linear.AbstractRealMatrix
Returns the (row) vector result of premultiplying this by the vector v.
preMultiply(T[]) - Method in class org.apache.commons.math.linear.Array2DRowFieldMatrix
Returns the (row) vector result of premultiplying this by the vector v.
preMultiply(double[]) - Method in class org.apache.commons.math.linear.Array2DRowRealMatrix
Returns the (row) vector result of premultiplying this by the vector v.
preMultiply(BigMatrix) - Method in interface org.apache.commons.math.linear.BigMatrix
Deprecated. Returns the result premultiplying this by m.
preMultiply(BigDecimal[]) - Method in interface org.apache.commons.math.linear.BigMatrix
Deprecated. Returns the (row) vector result of premultiplying this by the vector v.
preMultiply(BigMatrix) - Method in class org.apache.commons.math.linear.BigMatrixImpl
Deprecated. Returns the result premultiplying this by m.
preMultiply(BigDecimal[]) - Method in class org.apache.commons.math.linear.BigMatrixImpl
Deprecated. Returns the (row) vector result of premultiplying this by the vector v.
preMultiply(T[]) - Method in class org.apache.commons.math.linear.BlockFieldMatrix
Returns the (row) vector result of premultiplying this by the vector v.
preMultiply(double[]) - Method in class org.apache.commons.math.linear.BlockRealMatrix
Returns the (row) vector result of premultiplying this by the vector v.
preMultiply(FieldMatrix<T>) - Method in interface org.apache.commons.math.linear.FieldMatrix
Returns the result premultiplying this by m.
preMultiply(T[]) - Method in interface org.apache.commons.math.linear.FieldMatrix
Returns the (row) vector result of premultiplying this by the vector v.
preMultiply(FieldVector<T>) - Method in interface org.apache.commons.math.linear.FieldMatrix
Returns the (row) vector result of premultiplying this by the vector v.
preMultiply(RealMatrix) - Method in interface org.apache.commons.math.linear.RealMatrix
Returns the result premultiplying this by m.
preMultiply(double[]) - Method in interface org.apache.commons.math.linear.RealMatrix
Returns the (row) vector result of premultiplying this by the vector v.
preMultiply(RealVector) - Method in interface org.apache.commons.math.linear.RealMatrix
Returns the (row) vector result of premultiplying this by the vector v.
preMultiply(double[]) - Method in class org.apache.commons.math.linear.RealMatrixImpl
Deprecated. Returns the (row) vector result of premultiplying this by the vector v.
print() - Method in class hephysics.particle.HEParticle
Print particle
print() - Method in class hephysics.particle.LParticle
Print particle
print() - Method in class jhplot.H1D
Print histogram on screen
print() - Method in class jhplot.HProf1D
Print histogram on screen
print() - Method in class jhplot.jadraw.JaKey
 
print() - Method in class jhplot.jadraw.JaText
 
print(double[]) - Static method in class jhplot.math.ArrayMathUtils
Prints an array to screen.
print(double[][]) - Static method in class jhplot.math.ArrayMathUtils
Prints an array to screen.
print(int[]) - Static method in class jhplot.math.ArrayMathUtils
Prints an array to screen.
print(int[][]) - Static method in class jhplot.math.ArrayMathUtils
Prints an array to screen.
print() - Method in class jhplot.P0D
Print a P0D container.
print() - Method in class jhplot.P0I
Print a P0I container.
print() - Method in class jhplot.P1D
Print a P1D container on the screen
print() - Method in class jhplot.P2D
Print a P2D container on the screen
print() - Method in class jhplot.P3D
Print a P3D container on the screen
print() - Method in class jhplot.PND
Print PND to System.out.
print() - Method in class jhplot.PNI
Print PNI to System.out.
print() - Method in class jhplot.v3d.Vector3d
 
print() - Method in class jminhep.cluster.DataHolder
Print all entries of the data holder
printBinning() - Method in class hep.aida.ref.function.Grid
 
printDoubleArray(double[][]) - Static method in class jhplot.math.io.ArrayString
 
printDoubleArray(double[]) - Static method in class jhplot.math.io.ArrayString
 
printDoubleArray(double[][], String, String) - Static method in class jhplot.math.io.ArrayString
 
printDrawOptions() - Method in class jhplot.DrawOptions
print all drawing options
printDrawOptions(PrintStream) - Method in class jhplot.DrawOptions
Get all drawing options as PrintStream
printGraph() - Method in class jhplot.GHPanel
Print the canvas
printGraphSettings() - Method in class jhplot.HPlot
Print the current graph settings to System.out
printGraphSettings(PrintStream) - Method in class jhplot.HPlot
Print the current graph settings to System.out
printIntArray(int[][]) - Static method in class jhplot.math.io.ArrayString
 
printIntArray(int[]) - Static method in class jhplot.math.io.ArrayString
 
printIntArray(int[][], String, String) - Static method in class jhplot.math.io.ArrayString
 
printResult() - Method in class hep.aida.ref.fitter.FitResult
 
printStackTrace() - Method in exception org.apache.commons.math.MathException
Prints the stack trace of this exception to the standard error stream.
printStackTrace(PrintStream) - Method in exception org.apache.commons.math.MathException
Prints the stack trace of this exception to the specified stream.
printStackTrace() - Method in exception org.apache.commons.math.MathRuntimeException
Prints the stack trace of this exception to the standard error stream.
printStackTrace(PrintStream) - Method in exception org.apache.commons.math.MathRuntimeException
Prints the stack trace of this exception to the specified stream.
printVersion() - Static method in class jhplot.JHPlot
jHplot version information
Prism - Class in jhplot.v3d
Build a prism.
Prism(Model3d, Vector3d[], int, Vector3d) - Constructor for class jhplot.v3d.Prism
 
probability(int) - Method in class jhplot.math.num.pdf.Binomial
The PMF for this distribution.
probability(int) - Method in class jhplot.math.num.pdf.DiscreteDistribution
The PMF for this distribution.
probability(int) - Method in class jhplot.math.num.pdf.Geometric
The PMF for this distribution.
probability(int) - Method in class jhplot.math.num.pdf.Hypergeometric
The PMF for this distribution.
probability(int) - Method in class jhplot.math.num.pdf.NegativeBinomial
The PMF for this distribution.
probability(int) - Method in class jhplot.math.num.pdf.Poisson
The PMF for this distribution.
probability(double) - Method in class org.apache.commons.math.distribution.AbstractIntegerDistribution
For a random variable X whose values are distributed according to this distribution, this method returns P(X = x).
probability(int) - Method in class org.apache.commons.math.distribution.BinomialDistributionImpl
For this distribution, X, this method returns P(X = x).
probability(double) - Method in interface org.apache.commons.math.distribution.DiscreteDistribution
For a random variable X whose values are distributed according to this distribution, this method returns P(X = x).
probability(int) - Method in class org.apache.commons.math.distribution.HypergeometricDistributionImpl
For this distribution, X, this method returns P(X = x).
probability(int) - Method in interface org.apache.commons.math.distribution.IntegerDistribution
For a random variable X whose values are distributed according to this distribution, this method returns P(X = x).
probability(int) - Method in class org.apache.commons.math.distribution.PascalDistributionImpl
For this distribution, X, this method returns P(X = x).
probability(int) - Method in class org.apache.commons.math.distribution.PoissonDistributionImpl
The probability mass function P(X = x) for a Poisson distribution.
probability(int) - Method in class org.apache.commons.math.distribution.ZipfDistributionImpl
The probability mass function P(X = x) for a Zipf distribution.
process(int) - Method in class jhplot.stat.StatShape
Process event.
process(int) - Method in class jhpro.stat.Moments
Process current event for an integer random variable
process(double) - Method in class jhpro.stat.Moments
Process current event for a double random variable
process(int) - Method in class jhpro.stat.MomentsFac
Process current event for an integer random variable
process(int) - Method in class jhpro.stat.MomentsFacNorm
Process current event for an integer random variable
process(int) - Method in class jhpro.stat.MomentsNorm
Process current event for an integer random variable
product(double[]) - Static method in class jhplot.math.DoubleArray
Calculates the product of the values in an array.
product(double[][]) - Static method in class jhplot.math.DoubleArray
Calculates the product of the values in each column of a matrix.
Product - Class in org.apache.commons.math.stat.descriptive.summary
Returns the product of the available values.
Product() - Constructor for class org.apache.commons.math.stat.descriptive.summary.Product
Create a Product instance
Product(Product) - Constructor for class org.apache.commons.math.stat.descriptive.summary.Product
Copy constructor, creates a new Product identical to the original
product(double[]) - Static method in class org.apache.commons.math.stat.StatUtils
Returns the product of the entries in the input array, or Double.NaN if the array is empty.
product(double[], int, int) - Static method in class org.apache.commons.math.stat.StatUtils
Returns the product of the entries in the specified portion of the input array, or Double.NaN if the designated subarray is empty.
Profile - Class in hep.aida.ref.histogram
 
Profile(String, String, int) - Constructor for class hep.aida.ref.histogram.Profile
Create a new Profile
Profile(String, String, int, String) - Constructor for class hep.aida.ref.histogram.Profile
 
Profile1D - Class in hep.aida.ref.histogram
 
Profile1D() - Constructor for class hep.aida.ref.histogram.Profile1D
Create a 1-dimensional Profile.
Profile1D(String, String, IAxis) - Constructor for class hep.aida.ref.histogram.Profile1D
Create a 1-dimensional Profile.
Profile1D(String, String, IAxis, String) - Constructor for class hep.aida.ref.histogram.Profile1D
 
Profile2D - Class in hep.aida.ref.histogram
 
Profile2D() - Constructor for class hep.aida.ref.histogram.Profile2D
Create a 1-dimensional Profile.
Profile2D(String, String, IAxis, IAxis) - Constructor for class hep.aida.ref.histogram.Profile2D
Create a 1-dimensional Profile.
Profile2D(String, String, IAxis, IAxis, String) - Constructor for class hep.aida.ref.histogram.Profile2D
 
project(IHistogram1D, IEvaluator) - Method in class hep.aida.ref.tuple.AbstractTuple
 
project(IHistogram1D, IEvaluator, IEvaluator) - Method in class hep.aida.ref.tuple.AbstractTuple
 
project(IHistogram1D, IEvaluator, IFilter, IEvaluator) - Method in class hep.aida.ref.tuple.AbstractTuple
 
project(IHistogram1D, IEvaluator, IFilter) - Method in class hep.aida.ref.tuple.AbstractTuple
 
project(IHistogram2D, IEvaluator, IEvaluator, IFilter) - Method in class hep.aida.ref.tuple.AbstractTuple
 
project(IHistogram2D, IEvaluator, IEvaluator) - Method in class hep.aida.ref.tuple.AbstractTuple
 
project(IHistogram2D, IEvaluator, IEvaluator, IEvaluator) - Method in class hep.aida.ref.tuple.AbstractTuple
 
project(IHistogram2D, IEvaluator, IEvaluator, IFilter, IEvaluator) - Method in class hep.aida.ref.tuple.AbstractTuple
 
project(IHistogram3D, IEvaluator, IEvaluator, IEvaluator, IFilter) - Method in class hep.aida.ref.tuple.AbstractTuple
 
project(IHistogram3D, IEvaluator, IEvaluator, IEvaluator) - Method in class hep.aida.ref.tuple.AbstractTuple
 
project(IHistogram3D, IEvaluator, IEvaluator, IEvaluator, IEvaluator) - Method in class hep.aida.ref.tuple.AbstractTuple
 
project(IHistogram3D, IEvaluator, IEvaluator, IEvaluator, IFilter, IEvaluator) - Method in class hep.aida.ref.tuple.AbstractTuple
 
project(ICloud1D, IEvaluator) - Method in class hep.aida.ref.tuple.AbstractTuple
 
project(ICloud1D, IEvaluator, IFilter) - Method in class hep.aida.ref.tuple.AbstractTuple
 
project(ICloud1D, IEvaluator, IEvaluator) - Method in class hep.aida.ref.tuple.AbstractTuple
 
project(ICloud1D, IEvaluator, IFilter, IEvaluator) - Method in class hep.aida.ref.tuple.AbstractTuple
 
project(ICloud2D, IEvaluator, IEvaluator) - Method in class hep.aida.ref.tuple.AbstractTuple
 
project(ICloud2D, IEvaluator, IEvaluator, IEvaluator) - Method in class hep.aida.ref.tuple.AbstractTuple
 
project(ICloud2D, IEvaluator, IEvaluator, IFilter) - Method in class hep.aida.ref.tuple.AbstractTuple
 
project(ICloud2D, IEvaluator, IEvaluator, IFilter, IEvaluator) - Method in class hep.aida.ref.tuple.AbstractTuple
 
project(ICloud3D, IEvaluator, IEvaluator, IEvaluator) - Method in class hep.aida.ref.tuple.AbstractTuple
 
project(ICloud3D, IEvaluator, IEvaluator, IEvaluator, IFilter) - Method in class hep.aida.ref.tuple.AbstractTuple
 
project(ICloud3D, IEvaluator, IEvaluator, IEvaluator, IEvaluator) - Method in class hep.aida.ref.tuple.AbstractTuple
 
project(ICloud3D, IEvaluator, IEvaluator, IEvaluator, IFilter, IEvaluator) - Method in class hep.aida.ref.tuple.AbstractTuple
 
project(IProfile1D, IEvaluator, IEvaluator) - Method in class hep.aida.ref.tuple.AbstractTuple
 
project(IProfile1D, IEvaluator, IEvaluator, IFilter) - Method in class hep.aida.ref.tuple.AbstractTuple
 
project(IProfile1D, IEvaluator, IEvaluator, IEvaluator) - Method in class hep.aida.ref.tuple.AbstractTuple
 
project(IProfile1D, IEvaluator, IEvaluator, IFilter, IEvaluator) - Method in class hep.aida.ref.tuple.AbstractTuple
 
project(IProfile2D, IEvaluator, IEvaluator, IEvaluator) - Method in class hep.aida.ref.tuple.AbstractTuple
 
project(IProfile2D, IEvaluator, IEvaluator, IEvaluator, IEvaluator) - Method in class hep.aida.ref.tuple.AbstractTuple
 
project(IProfile2D, IEvaluator, IEvaluator, IEvaluator, IFilter) - Method in class hep.aida.ref.tuple.AbstractTuple
 
project(IProfile2D, IEvaluator, IEvaluator, IEvaluator, IFilter, IEvaluator) - Method in class hep.aida.ref.tuple.AbstractTuple
 
projection(double[]) - Method in class org.apache.commons.math.linear.AbstractRealVector
Find the orthogonal projection of this vector onto another vector.
projection(FieldVector<T>) - Method in class org.apache.commons.math.linear.ArrayFieldVector
Find the orthogonal projection of this vector onto another vector.
projection(T[]) - Method in class org.apache.commons.math.linear.ArrayFieldVector
Find the orthogonal projection of this vector onto another vector.
projection(ArrayFieldVector<T>) - Method in class org.apache.commons.math.linear.ArrayFieldVector
Find the orthogonal projection of this vector onto another vector.
projection(RealVector) - Method in class org.apache.commons.math.linear.ArrayRealVector
Find the orthogonal projection of this vector onto another vector.
projection(double[]) - Method in class org.apache.commons.math.linear.ArrayRealVector
Find the orthogonal projection of this vector onto another vector.
projection(ArrayRealVector) - Method in class org.apache.commons.math.linear.ArrayRealVector
Find the orthogonal projection of this vector onto another vector.
projection(FieldVector<T>) - Method in interface org.apache.commons.math.linear.FieldVector
Find the orthogonal projection of this vector onto another vector.
projection(T[]) - Method in interface org.apache.commons.math.linear.FieldVector
Find the orthogonal projection of this vector onto another vector.
projection(RealVector) - Method in class org.apache.commons.math.linear.OpenMapRealVector
Find the orthogonal projection of this vector onto another vector.
projection(double[]) - Method in class org.apache.commons.math.linear.OpenMapRealVector
Find the orthogonal projection of this vector onto another vector.
projection(RealVector) - Method in interface org.apache.commons.math.linear.RealVector
Find the orthogonal projection of this vector onto another vector.
projection(double[]) - Method in interface org.apache.commons.math.linear.RealVector
Find the orthogonal projection of this vector onto another vector.
projection(FieldVector<T>) - Method in class org.apache.commons.math.linear.SparseFieldVector
Find the orthogonal projection of this vector onto another vector.
projection(T[]) - Method in class org.apache.commons.math.linear.SparseFieldVector
Find the orthogonal projection of this vector onto another vector.
projectionX(String, IHistogram2D) - Method in class hep.aida.ref.histogram.HistogramFactory
Create a projection from a 2D histogram parallel to the X axis.
projectionXY(String, IHistogram3D) - Method in class hep.aida.ref.histogram.HistogramFactory
Create a projection parallel to the X axis from a 3D histogram.
projectionXZ(String, IHistogram3D) - Method in class hep.aida.ref.histogram.HistogramFactory
Create a projection parallel to the Z axis from a 3D histogram.
projectionY(String, IHistogram2D) - Method in class hep.aida.ref.histogram.HistogramFactory
Create a projection from a 2D histogram parallel to the Y axis.
projectionYZ(String, IHistogram3D) - Method in class hep.aida.ref.histogram.HistogramFactory
Create a projection parallel to the Y axis from a 3D histogram.
ProperBigFractionFormat - Class in org.apache.commons.math.fraction
Formats a BigFraction number in proper format.
ProperBigFractionFormat() - Constructor for class org.apache.commons.math.fraction.ProperBigFractionFormat
Create a proper formatting instance with the default number format for the whole, numerator, and denominator.
ProperBigFractionFormat(NumberFormat) - Constructor for class org.apache.commons.math.fraction.ProperBigFractionFormat
Create a proper formatting instance with a custom number format for the whole, numerator, and denominator.
ProperBigFractionFormat(NumberFormat, NumberFormat, NumberFormat) - Constructor for class org.apache.commons.math.fraction.ProperBigFractionFormat
Create a proper formatting instance with a custom number format for each of the whole, numerator, and denominator.
ProperFractionFormat - Class in org.apache.commons.math.fraction
Formats a Fraction number in proper format.
ProperFractionFormat() - Constructor for class org.apache.commons.math.fraction.ProperFractionFormat
Create a proper formatting instance with the default number format for the whole, numerator, and denominator.
ProperFractionFormat(NumberFormat) - Constructor for class org.apache.commons.math.fraction.ProperFractionFormat
Create a proper formatting instance with a custom number format for the whole, numerator, and denominator.
ProperFractionFormat(NumberFormat, NumberFormat, NumberFormat) - Constructor for class org.apache.commons.math.fraction.ProperFractionFormat
Create a proper formatting instance with a custom number format for each of the whole, numerator, and denominator.
providesColumnDefaultValues() - Method in class hep.aida.ref.tuple.AbstractTuple
 
providesColumnDefaultValues() - Method in class hep.aida.ref.tuple.ChainedTuple
 
providesColumnDefaultValues() - Method in class hep.aida.ref.tuple.Tuple
 
providesGradient() - Method in class hep.aida.ref.fitter.InternalFitFunction
 
providesGradient() - Method in class hep.aida.ref.function.AbstractDevModelFunction
 
providesGradient() - Method in class hep.aida.ref.function.AbstractIFunction
 
providesGradient() - Method in class hep.aida.ref.function.BaseModelFunction
 
providesGradient() - Method in class hep.aida.ref.function.ExponentialCoreNorm
 
providesGradient() - Method in class hep.aida.ref.function.ExponentialCoreNotNorm
 
providesGradient() - Method in class hep.aida.ref.function.FunctionCore
 
providesGradient() - Method in class hep.aida.ref.function.GaussianCore2DNorm
 
providesGradient() - Method in class hep.aida.ref.function.GaussianCore2DNotNorm
 
providesGradient() - Method in class hep.aida.ref.function.GaussianCoreNorm
 
providesGradient() - Method in class hep.aida.ref.function.GaussianCoreNotNorm
 
providesGradient() - Method in class hep.aida.ref.function.IFunctionCoreNotNorm
 
providesGradient() - Method in class hep.aida.ref.function.JELFunctionCore
 
providesGradient() - Method in class hep.aida.ref.function.LorentzianCoreNotNorm
 
providesGradient() - Method in class hep.aida.ref.function.MoyalCoreNotNorm
 
providesGradient() - Method in class hep.aida.ref.function.PolynomialCoreNotNorm
 
providesGradient() - Method in class hep.aida.ref.function.SumOfFunctions
 
providesNormalization() - Method in class hep.aida.ref.function.AbstractDevModelFunction
 
providesNormalization() - Method in class hep.aida.ref.function.AbstractIFunction
 
providesNormalization() - Method in class hep.aida.ref.function.BaseModelFunction
 
providesNormalization() - Method in class hep.aida.ref.function.ExponentialCoreNorm
 
providesNormalization() - Method in class hep.aida.ref.function.ExponentialCoreNotNorm
 
providesNormalization() - Method in class hep.aida.ref.function.FunctionCore
 
providesNormalization() - Method in class hep.aida.ref.function.GaussianCore2DNorm
 
providesNormalization() - Method in class hep.aida.ref.function.GaussianCore2DNotNorm
 
providesNormalization() - Method in class hep.aida.ref.function.GaussianCoreNorm
 
providesNormalization() - Method in class hep.aida.ref.function.GaussianCoreNotNorm
 
providesNormalization() - Method in class hep.aida.ref.function.IFunctionCoreNotNorm
 
providesNormalization() - Method in class hep.aida.ref.function.JELFunctionCore
 
providesNormalization() - Method in class hep.aida.ref.function.LorentzianCoreNotNorm
 
providesNormalization() - Method in class hep.aida.ref.function.MoyalCoreNotNorm
 
providesNormalization() - Method in class hep.aida.ref.function.PolynomialCoreNotNorm
 
providesParameterGradient() - Method in class hep.aida.ref.function.AbstractDevModelFunction
 
providesParameterGradient() - Method in class hep.aida.ref.function.AbstractIFunction
 
providesParameterGradient() - Method in class hep.aida.ref.function.BaseModelFunction
 
providesParameterGradient() - Method in class hep.aida.ref.function.ExponentialCoreNorm
 
providesParameterGradient() - Method in class hep.aida.ref.function.ExponentialCoreNotNorm
 
providesParameterGradient() - Method in class hep.aida.ref.function.FunctionCore
 
providesParameterGradient() - Method in class hep.aida.ref.function.GaussianCore2DNorm
 
providesParameterGradient() - Method in class hep.aida.ref.function.GaussianCore2DNotNorm
 
providesParameterGradient() - Method in class hep.aida.ref.function.GaussianCoreNorm
 
providesParameterGradient() - Method in class hep.aida.ref.function.GaussianCoreNotNorm
 
providesParameterGradient() - Method in class hep.aida.ref.function.IFunctionCoreNotNorm
 
providesParameterGradient() - Method in class hep.aida.ref.function.JELFunctionCore
 
providesParameterGradient() - Method in class hep.aida.ref.function.LorentzianCoreNotNorm
 
providesParameterGradient() - Method in class hep.aida.ref.function.MoyalCoreNotNorm
 
providesParameterGradient() - Method in class hep.aida.ref.function.PolynomialCoreNotNorm
 
pseudoRapidity() - Method in class hephysics.vec.Hep3Vector
Pseudorapidity.
pseudoRapidity() - Method in class hephysics.vec.HepLorentzVector
Pseudorapidity.
put(int, double) - Method in class org.apache.commons.math.util.OpenIntToDoubleHashMap
Put a value associated with a key in the map.
put(int, T) - Method in class org.apache.commons.math.util.OpenIntToFieldHashMap
Put a value associated with a key in the map.
putTransformer(Class<?>, NumberTransformer) - Method in class org.apache.commons.math.util.TransformerMap
Sets a Class to Transformer Mapping in the Map.
pwd() - Method in class hep.aida.ref.tree.Tree
Get the path of the current working directory.
pwd() - Method in class jhplot.io.FileAida
Print the current directory
px() - Method in class hephysics.vec.HepLorentzVector
Get X position or (Px,Py,Pz)
py() - Method in class hephysics.vec.HepLorentzVector
Get Y position or Py
Pyramid - Class in jhplot.v3d
Build a Pyramid.
Pyramid(Model3d, Vector3d[], int, Vector3d) - Constructor for class jhplot.v3d.Pyramid
 
Pyramid(Model3d, Vector3d[], int, float) - Constructor for class jhplot.v3d.Pyramid
 
pz() - Method in class hephysics.vec.HepLorentzVector
Get Z position ot Pz

Q

q(double, int[], double, LimitCalculatorGui.ExperimentData) - Method in class jhpro.stat.limit.LimitCalculatorGui.myFrame
 
QNAN - Static variable in class org.apache.commons.math.dfp.Dfp
Indicator value for quiet NaN.
QR(double[][]) - Static method in class jhplot.math.LinearAlgebra
 
QRDecomposition - Class in jhplot.math
QR Decomposition.
QRDecomposition(double[][]) - Constructor for class jhplot.math.QRDecomposition
QR Decomposition, computed by Householder reflections.
QRDecomposition - Interface in org.apache.commons.math.linear
An interface to classes that implement an algorithm to calculate the QR-decomposition of a real matrix.
QRDecompositionImpl - Class in org.apache.commons.math.linear
Calculates the QR-decomposition of a matrix.
QRDecompositionImpl(RealMatrix) - Constructor for class org.apache.commons.math.linear.QRDecompositionImpl
Calculates the QR-decomposition of the given matrix.
quality() - Method in class hep.aida.ref.fitter.FitResult
 
quit() - Method in class jhplot.HChart
Quit the frame
quit() - Method in class jhplot.HGraph
 
quit() - Method in class jhplot.HPlot
Quit the canvas (and dispose all components) Note: a memory leak is found - no time to study it.
quit() - Method in class jhplot.HPlot2D
Quit the canvas (and dispose all components) Note: a memory leak is found - no time to study it.
quit() - Method in class jhplot.HPlot3D
exit the frame and clear all components
quit() - Method in class jhplot.HPlot3DP
 
quit() - Method in class jhplot.HView3D
 

R

RADIX - Static variable in class org.apache.commons.math.dfp.Dfp
The radix, or base of this system.
raise(double[], double) - Static method in class jhplot.math.LinearAlgebra
Raise each element of an array to a scalar power.
raise(double[][], double) - Static method in class jhplot.math.LinearAlgebra
Raise each element of a matrix to a scalar power
rand() - Static method in class jhplot.math.Random
Generate a random number between 0 and 1.
RandEngine - Static variable in class jhplot.math.Random
 
randInt(int, int) - Static method in class jhplot.math.Random
Generate a random integer.
random(int, int, int) - Static method in class jhplot.bsom.Matrix
Make a standard Gaussian random Matrix.
random(int, int) - Static method in class jhplot.bsom.Matrix
Same as random(row, col, 1).
random(int, int) - Static method in class jhplot.math.DoubleArray
Generates an m x n matrix of random numbers uniformly distributed between 0 and 1.
random(int) - Static method in class jhplot.math.DoubleArray
Generates an m element array of random numbers uniformly distributed between 0 and 1.
random(int, int, double, double) - Static method in class jhplot.math.DoubleArray
Generates an mxn matrix of random numbers uniformly distributed between min and max.
random(int, double, double) - Static method in class jhplot.math.DoubleArray
Generates an m element array of random numbers uniformly distributed between min and max.
random(int, int, double[], double[]) - Static method in class jhplot.math.DoubleArray
Generates an m x n matrix of random numbers uniformly distributed numbers.
Random - Class in jhplot.math
BSD License
Random() - Constructor for class jhplot.math.Random
 
random(int, AbstractDistribution) - Method in class jhplot.P0D
Fill array with random numbers Random generators are taken from cern.jet.random.*.
random(int, AbstractDistribution) - Method in class jhplot.P0I
Fill array with random numbers
random() - Static method in class org.apache.commons.math.util.FastMath
Returns a pseudo-random number between 0.0 and 1.0.
RandomAdaptor - Class in org.apache.commons.math.random
Extension of java.util.Random wrapping a RandomGenerator.
RandomAdaptor(RandomGenerator) - Constructor for class org.apache.commons.math.random.RandomAdaptor
Construct a RandomAdaptor wrapping the supplied RandomGenerator.
randomBeta(int, int, double, double) - Static method in class jhplot.math.StatisticSample
Random beata distribution
randomBeta(int, double, double) - Static method in class jhplot.math.StatisticSample
1D Random Beta distribution
randomBinaryRepresentation(int) - Static method in class org.apache.commons.math.genetics.BinaryChromosome
Returns a representation of a random binary array of length length.
randomCauchy(int, int, double, double) - Static method in class jhplot.math.StatisticSample
2D Cauchy PDF
randomCauchy(int, double, double) - Static method in class jhplot.math.StatisticSample
1D Cauchy PDF
randomChi2(int, int, int) - Static method in class jhplot.math.StatisticSample
2D array with Chi2
randomChi2(int, int) - Static method in class jhplot.math.StatisticSample
1D array with random numbers
RandomData - Interface in org.apache.commons.math.random
Random data generation utilities.
RandomDataImpl - Class in org.apache.commons.math.random
Implements the RandomData interface using a RandomGenerator instance to generate non-secure data and a SecureRandom instance to provide data for the nextSecureXxx methods.
RandomDataImpl() - Constructor for class org.apache.commons.math.random.RandomDataImpl
Construct a RandomDataImpl.
RandomDataImpl(RandomGenerator) - Constructor for class org.apache.commons.math.random.RandomDataImpl
Construct a RandomDataImpl using the supplied RandomGenerator as the source of (non-secure) random data.
randomDirac(int, int, double[], double[]) - Static method in class jhplot.math.StatisticSample
2D array with Dirac random values
randomDirac(int, double[], double[]) - Static method in class jhplot.math.StatisticSample
1D array with Dirac random values
randomDoubleArray(int, int, AbstractDistribution) - Method in class jhplot.math.StatisticSample
Build 2D integer array list with integer numbers from input random number generator
randomDoubleArrayList(int, AbstractDistribution) - Method in class jhplot.math.StatisticSample
Build double array list with integer numbers from input random number generator
randomExponential(int, int, double) - Static method in class jhplot.math.StatisticSample
2D array with exponential random distribution
randomExponential(int, double) - Static method in class jhplot.math.StatisticSample
1D array with exponential numbers
RandomGenerator - Interface in org.apache.commons.math.random
Interface extracted from java.util.Random.
randomInt(int, int, int, int) - Static method in class jhplot.math.StatisticSample
Random 2D array with integers
randomInt(int, int, int) - Static method in class jhplot.math.StatisticSample
Random array with integers
randomIntArray(int, Binomial) - Method in class jhplot.math.StatisticSample
Build integer array list with integer numbers from input random number generator
randomIntArray(int, int, AbstractDistribution) - Method in class jhplot.math.StatisticSample
Build 2D integer array list with integer numbers from input random number generator
randomIntArrayList(int, AbstractDistribution) - Method in class jhplot.math.StatisticSample
Build integer array list with integer numbers from input random number generator
RandomKey<T> - Class in org.apache.commons.math.genetics
Random Key chromosome is used for permutation representation.
RandomKey(List<Double>) - Constructor for class org.apache.commons.math.genetics.RandomKey
Constructor.
RandomKey(Double[]) - Constructor for class org.apache.commons.math.genetics.RandomKey
Constructor.
RandomKeyMutation - Class in org.apache.commons.math.genetics
Mutation operator for RandomKeys.
RandomKeyMutation() - Constructor for class org.apache.commons.math.genetics.RandomKeyMutation
 
randomLogNormal(int, int, double, double) - Static method in class jhplot.math.StatisticSample
2D Log-normal distribution
randomLogNormal(int, double, double) - Static method in class jhplot.math.StatisticSample
1D array with random Log-normal values
randomNormal(int, int, double, double) - Static method in class jhplot.math.StatisticSample
2D array with Gaussian numbers
randomNormal(int, double, double) - Static method in class jhplot.math.StatisticSample
1D array with Gaussian numbers
randomNormal(int, double, double) - Method in class jhplot.P0D
Fill with random numbers distributed using the normal (gaussian) distribution.
randomNormal(int, double, double) - Method in class jhplot.P0I
Fill with random numbers distributed using the normal (gaussian) distribution.
randomPermutation(int) - Static method in class org.apache.commons.math.genetics.RandomKey
Generates a representation corresponding to a random permutation of length l which can be passed to the RandomKey constructor.
randomPoisson(int, double) - Static method in class jhplot.math.StatisticSample
Build an array with Poisson distribution
randomRejection(int, int, ParseFunction, double, double, double) - Static method in class jhplot.math.StatisticSample
Build 2D random array using analytic function.
randomRejection(int, ParseFunction, double, double, double) - Static method in class jhplot.math.StatisticSample
Build 1D array using analytic function.
RandomRNG - Class in jhplot.math.num.random
A random number generator that delegates random number generation to a Random object.
RandomRNG() - Constructor for class jhplot.math.num.random.RandomRNG
Create a random number generator using a default Random delegate.
RandomRNG(long) - Constructor for class jhplot.math.num.random.RandomRNG
Create a random number generator using a Random delegate initialized with the given seed.
RandomRNG(Random) - Constructor for class jhplot.math.num.random.RandomRNG
Create a random number generator using the given Random delegate.
randomTriangular(int, int, double, double) - Static method in class jhplot.math.StatisticSample
2D array for Triangular random PDF
randomTriangular(int, double, double) - Static method in class jhplot.math.StatisticSample
1D array with Triangular random PDF
randomTriangular(int, int, double, double, double) - Static method in class jhplot.math.StatisticSample
2D array for Triangular
randomTriangular(int, double, double, double) - Static method in class jhplot.math.StatisticSample
1D array for Triangular
randomUniform(int, double, double) - Method in class jhplot.P0D
Fill with with uniform random numbers between min and max.
randomUniform(int, Integer, Integer) - Method in class jhplot.P0I
Fill with with uniform random numbers between min and max.
RandomVectorGenerator - Interface in org.apache.commons.math.random
This interface represents a random generator for whole vectors.
randomWeibull(int, int, double, double) - Static method in class jhplot.math.StatisticSample
2D Weibull
randomWeibull(int, double, double) - Static method in class jhplot.math.StatisticSample
1D Weibull
randUniform(int, double, double) - Static method in class jhplot.math.StatisticSample
2D array with uniform values
randUniform(int, int, double, double) - Static method in class jhplot.math.StatisticSample
2D array with random uniform values
range(int) - Method in class hep.aida.ref.fitter.fitdata.FitData
 
Range - Class in hep.aida.ref.function
Implementation of IRange.
Range() - Constructor for class hep.aida.ref.function.Range
Creates a new instance of Range.
Range(double, double) - Constructor for class hep.aida.ref.function.Range
Creates a new instance of Range with type INCLUDE_BOUNDS.
Range(double, double, int) - Constructor for class hep.aida.ref.function.Range
Creates a new instance of Range.
range(double, double, double) - Static method in class jhplot.math.ArrayMathUtils
Generates an array going for a to b with steps of size step.
range(double, double) - Static method in class jhplot.math.ArrayMathUtils
Generates an array going for a to b inclusively with steps of size 1.
range(double[]) - Static method in class jhplot.math.ArrayMathUtils
returns the difference between the max and the min element
range(double) - Static method in class jhplot.math.ArrayMathUtils
Generates an array going for 0 to b with steps of size 1.
range(int, int) - Static method in class jhplot.math.ArrayMathUtils
Generates an array going for a to b with steps of size 1.
range(int) - Static method in class jhplot.math.ArrayMathUtils
Generates an array going for 0 to b with steps of size 1.
range(int, int, int) - Static method in class jhplot.math.ArrayMathUtils
Generates an array going for a to b with steps of size step.
range(int, int) - Method in class jhplot.P0D
Get range between min and max
range(int, int) - Method in class jhplot.P0I
Get range between min and max
range(int, int) - Method in class jhplot.P1D
Construct P1D in the range between Min and Max indexes.
range(int, double, double) - Method in class jhplot.P1D
Construct P1D in the range between Min and Max.
RANGE_CHANGED - Static variable in class hep.aida.ref.function.FunctionChangedEvent
 
rangeCut(int, double, double) - Method in class jhplot.P1D
Construct P1D removing a range of values defined by Min and Max.
RangeSet - Class in hep.aida.ref.function
This class handles multiple ranges along one axis.
RangeSet() - Constructor for class hep.aida.ref.function.RangeSet
Creates RangeSet with (-infinity, +infinity) valid interval, borders excluded
RangeSet(double, double) - Constructor for class hep.aida.ref.function.RangeSet
 
RangeSet(double[], double[]) - Constructor for class hep.aida.ref.function.RangeSet
 
RangeSet(String) - Constructor for class hep.aida.ref.function.RangeSet
Create a RangeSet from a String.
RangeSetFilter - Class in hep.aida.ref.fitter.fitdata
 
RangeSetFilter(IRangeSet[]) - Constructor for class hep.aida.ref.fitter.fitdata.RangeSetFilter
 
rank(double[][]) - Static method in class jhplot.math.LinearAlgebra
 
rank() - Method in class jhplot.math.SingularValueDecomposition
Effective numerical matrix rank
rank(double[]) - Method in class org.apache.commons.math.stat.ranking.NaturalRanking
Rank data using the natural ordering on Doubles, with NaN values handled according to nanStrategy and ties resolved using tiesStrategy.
rank(double[]) - Method in interface org.apache.commons.math.stat.ranking.RankingAlgorithm
Performs a rank transformation on the input data, returning an array of ranks.
RankingAlgorithm - Interface in org.apache.commons.math.stat.ranking
Interface representing a rank transformation.
rapidity() - Method in class hephysics.vec.Hep3Vector
Rapidity.
rapidity() - Method in class hephysics.vec.HepLorentzVector
Rapidity.
raw() - Static method in class jhplot.math.Random
Generate a random number between 0 and 1.
Rayleigh - Class in jhplot.math.num.pdf
The Rayleigh distribution.
Rayleigh() - Constructor for class jhplot.math.num.pdf.Rayleigh
Default constructor.
Rayleigh(double) - Constructor for class jhplot.math.num.pdf.Rayleigh
Create a distribution with the scale parameter.
RayleighRandomVariable - Class in jhplot.math.num.random
A random variable generator for the Rayleigh distribution.
RayleighRandomVariable() - Constructor for class jhplot.math.num.random.RayleighRandomVariable
Default constructor.
RayleighRandomVariable(double) - Constructor for class jhplot.math.num.random.RayleighRandomVariable
Create a random variable with the given mean.
RayleighRandomVariable(double, RNG) - Constructor for class jhplot.math.num.random.RayleighRandomVariable
Create a random variable with the given parameters.
read(String) - Method in class jhplot.HBook
Read external XML file with all objects (H1D, H2D, P1D)
read(String, String) - Method in class jhplot.HNeuralNet
Read a neural net from a file.
read(String) - Method in class jhplot.HPlot
Read HPlot file and inserts graphs to the main frame.
read() - Method in class jhplot.io.EFile
Read next event
read(int) - Method in class jhplot.io.EFile
Get object from a file using its index.
read() - Method in class jhplot.io.HFile
Get object from a file.
read() - Method in class jhplot.io.HFileXML
Get object from a file.
read(String) - Method in class jhplot.io.PFile
Get object from a file using its name.
read() - Method in class jhplot.io.PFile
Read next object
read(int) - Method in class jhplot.io.PFile
Get object from a file using its index.
read(URL) - Static method in class jhplot.io.PReader
Read data from URL.
read(File) - Static method in class jhplot.io.PReader
Read from a file.
read(String) - Static method in class jhplot.io.PReader
Read data from a given location.
read(File, boolean) - Static method in class jhplot.io.Serialized
Read an object from a serialized file
read(URL, boolean) - Static method in class jhplot.io.Serialized
Read an object from an URL
read(String) - Static method in class jhplot.io.Serialized
Read an object from a serialized file.
read(File) - Static method in class jhplot.math.io.ASCIIFile
 
read() - Method in class jhplot.math.io.ASCIIFile
Read an ASCII File
read() - Method in class jhplot.math.io.BinaryInputStream
Read a binary File
read(byte[], int, int) - Method in class jhplot.math.io.LEDataInputStream
 
read(byte[], int, int) - Method in class jhplot.math.io.LERandomAccessFile
 
read(byte[]) - Method in class jhplot.math.io.LERandomAccessFile
 
read() - Method in class jhplot.math.io.LERandomAccessFile
 
read(BufferedReader) - Method in class jhplot.P0D
Read one dimensional data from uncompressed ASCII file.
read(File) - Method in class jhplot.P0D
Read P0D from a file.
read(URL) - Method in class jhplot.P0D
Read data from URL.
read(String) - Method in class jhplot.P0D
Read PNI from a file.
read(File) - Method in class jhplot.P0I
Read P0D from a file.
read(URL) - Method in class jhplot.P0I
Read data from URL.
read(String) - Method in class jhplot.P0I
Read PNI from a file.
read(BufferedReader) - Method in class jhplot.P0I
Read one dimensional data from uncompressed ASCII file.
read(BufferedReader) - Method in class jhplot.P1D
Read data using 10-column format.
read(URL) - Method in class jhplot.P1D
Read data from URL.
read(String) - Method in class jhplot.P1D
Read P1D from a file.
read(BufferedReader) - Method in class jhplot.P2D
Read P2D from a file.
read(File) - Method in class jhplot.P2D
Read P2D from a file.
read(URL) - Method in class jhplot.P2D
Read data from URL.
read(String) - Method in class jhplot.P2D
Read P2D from a file.
read(String) - Method in class jhplot.P3D
Read P3D from a file.
read(BufferedReader) - Method in class jhplot.PND
Read the data from an external source.
read(File) - Method in class jhplot.PND
Read PND from a file.
read(URL) - Method in class jhplot.PND
Read data from URL.
read(String) - Method in class jhplot.PND
Read PND from a file.
read(BufferedReader) - Method in class jhplot.PNI
Read the data from external file.
read(File) - Method in class jhplot.PNI
Read PNI from a file.
read(URL) - Method in class jhplot.PNI
Read data from URL.
read(String) - Method in class jhplot.PNI
Read PNI from a file.
read(String) - Method in class jhplot.SPlot
Read a XML file and build a plot
read(File) - Method in class jhplot.SPlot
Read a XML file and build a plot
read(String) - Method in class jminhep.cluster.DataHolder
Reads the input data from the ARFF file and stores in the data holder
readAll() - Method in class jhplot.io.csv.CSVReader
Reads the entire file into a List with each element being a String[] of tokens.
readBinary(String) - Method in class jhplot.P0D
Read a P0D from a binary file (big endian by default).
readBinary(String) - Method in class jhplot.P0I
Read a P0I from a binary file (big endian by default).
readBoolean() - Method in class jhplot.math.io.LEDataInputStream
 
readBoolean() - Method in class jhplot.math.io.LERandomAccessFile
 
readByte() - Method in class jhplot.math.io.BinaryFile
Read a binary File
readByte() - Method in class jhplot.math.io.BinaryInputStream
Read a binary File
readByte() - Method in class jhplot.math.io.LEDataInputStream
 
readByte() - Method in class jhplot.math.io.LERandomAccessFile
 
readByteArray() - Method in class jhplot.math.io.BinaryFile
Read a binary File
readByteArray() - Method in class jhplot.math.io.BinaryInputStream
Read a binary File
readChar() - Method in class jhplot.math.io.LEDataInputStream
 
readChar() - Method in class jhplot.math.io.LERandomAccessFile
like RandomAcessFile.readChar except little endian.
readDouble() - Method in class jhplot.math.io.BinaryFile
Read a binary File
readDouble() - Method in class jhplot.math.io.BinaryInputStream
Read a binary File
readDouble() - Method in class jhplot.math.io.LEDataInputStream
 
readDouble() - Method in class jhplot.math.io.LERandomAccessFile
like RandomAcessFile.readDouble except little endian.
readDouble1DArray(File) - Static method in class jhplot.math.io.ASCIIFile
 
readDoubleArray(File) - Static method in class jhplot.math.io.ASCIIFile
 
readDoubleArray(File, String) - Static method in class jhplot.math.io.BinaryFile
 
readDoubleArray() - Method in class jhplot.math.io.BinaryFile
Read a binary File
readDoubleArray(InputStream, String) - Static method in class jhplot.math.io.BinaryInputStream
 
readDoubleArray() - Method in class jhplot.math.io.BinaryInputStream
Read a binary File
readDoubleArray(int, int) - Method in class jhplot.math.io.BinaryInputStream
Read a binary File
readExternal(ObjectInput) - Method in class org.apache.commons.math.ode.sampling.AbstractStepInterpolator
readExternal(ObjectInput) - Method in class org.apache.commons.math.ode.sampling.DummyStepInterpolator
Read the instance from an input channel.
readExternal(ObjectInput) - Method in class org.apache.commons.math.ode.sampling.NordsieckStepInterpolator
ReadFile - Static variable in class jhplot.JHPlot
 
readFloat() - Method in class jhplot.math.io.BinaryFile
Read a binary File
readFloat() - Method in class jhplot.math.io.BinaryInputStream
Read a binary File
readFloat() - Method in class jhplot.math.io.LEDataInputStream
 
readFloat() - Method in class jhplot.math.io.LERandomAccessFile
like RandomAcessFile.readFloat except little endian.
readFloatArray(File, String) - Static method in class jhplot.math.io.BinaryFile
 
readFloatArray() - Method in class jhplot.math.io.BinaryFile
Read a binary File
readFloatArray(InputStream, String) - Static method in class jhplot.math.io.BinaryInputStream
 
readFloatArray() - Method in class jhplot.math.io.BinaryInputStream
Read a binary File
readFully(byte[]) - Method in class jhplot.math.io.LEDataInputStream
 
readFully(byte[], int, int) - Method in class jhplot.math.io.LEDataInputStream
 
readFully(byte[]) - Method in class jhplot.math.io.LERandomAccessFile
 
readFully(byte[], int, int) - Method in class jhplot.math.io.LERandomAccessFile
 
readGZip(File) - Static method in class jhplot.io.PReader
Read data from a gzipped file (GNU gzip/gunzip commands in linux)
readGZip(URL) - Static method in class jhplot.io.PReader
Read data from URL.
readGZip(String) - Static method in class jhplot.io.PReader
Read data from either URL or file
readGZip(String) - Method in class jhplot.P0D
Read P0D from a GZiped file.
readGZip(File) - Method in class jhplot.P0D
Read PNI from a GZiped file.
readGZip(String) - Method in class jhplot.P0I
Read P0D from a GZiped file.
readGZip(File) - Method in class jhplot.P0I
Read PNI from a GZiped file.
readGZip(String) - Method in class jhplot.P1D
Read P1D from a GZiped file.
readGZip(String) - Method in class jhplot.P2D
Read P2D from a GZiped file.
readGZip(String) - Method in class jhplot.P3D
Read P3D from a GZipped file.
readGZip(String) - Method in class jhplot.PND
Read PND from a GZiped file.
readGZip(File) - Method in class jhplot.PND
Read PND from a GZiped file.
readGZip(String) - Method in class jhplot.PNI
Read PNI from a GZiped file.
readGZip(File) - Method in class jhplot.PNI
Read PNI from a GZiped file.
readInfo() - Static method in class jhplot.JHPlot
 
readInt() - Method in class jhplot.math.io.BinaryFile
Read a binary File
readInt() - Method in class jhplot.math.io.BinaryInputStream
Read a binary File
readInt() - Method in class jhplot.math.io.LEDataInputStream
 
readInt() - Method in class jhplot.math.io.LERandomAccessFile
like RandomAcessFile.readInt except little endian.
readInt1DArray(File) - Static method in class jhplot.math.io.ASCIIFile
 
readIntArray(File) - Static method in class jhplot.math.io.ASCIIFile
 
readIntArray(File, String) - Static method in class jhplot.math.io.BinaryFile
 
readIntArray() - Method in class jhplot.math.io.BinaryFile
Read a binary File
readIntArray(InputStream, String) - Static method in class jhplot.math.io.BinaryInputStream
 
readIntArray() - Method in class jhplot.math.io.BinaryInputStream
Read a binary File
readLine(File, int) - Static method in class jhplot.math.io.ASCIIFile
 
readLine(int) - Method in class jhplot.math.io.ASCIIFile
Read only one line in an ASCII File
readLine() - Method in class jhplot.math.io.LEDataInputStream
 
readLine() - Method in class jhplot.math.io.LERandomAccessFile
 
readLines(File) - Static method in class jhplot.math.io.ASCIIFile
 
readLines() - Method in class jhplot.math.io.ASCIIFile
Read lines of an ASCII File
readList() - Method in class jhplot.io.csv.CSVReader
Reads the entire file into a List with each element being a List of tokens.
readLong() - Method in class jhplot.math.io.LEDataInputStream
 
readLong() - Method in class jhplot.math.io.LERandomAccessFile
like RandomAcessFile.readLong except little endian.
readNext() - Method in class jhplot.io.csv.CSVReader
Reads the next line from the buffer and converts to a string array.
ReadOnlyAbstractTuple - Class in hep.aida.ref.tuple
Base class for read only tuples.
ReadOnlyAbstractTuple(String, String) - Constructor for class hep.aida.ref.tuple.ReadOnlyAbstractTuple
 
ReadOnlyAbstractTuple(String, String, String) - Constructor for class hep.aida.ref.tuple.ReadOnlyAbstractTuple
 
ReadOnlyException - Exception in hep.aida.ref
An exception thrown when an attempt is made to modify a readOnly AIDA object.
ReadOnlyException() - Constructor for exception hep.aida.ref.ReadOnlyException
 
ReadOnlyException(IManagedObject) - Constructor for exception hep.aida.ref.ReadOnlyException
 
readRecord(String) - Method in class jhplot.io.BaseRecordsFile
Reads a record.
readScript(File, HPlot) - Static method in class jhplot.io.JHreader
Read the file.
readSerialized(String) - Method in class jhplot.P0D
Read a P0D object from a serialized file
readSerialized(String) - Method in class jhplot.P0I
Read a P0I object from a serialized file
readSerialized(String) - Method in class jhplot.P1D
Read a P1D object from a serialized file
readSerialized(String) - Method in class jhplot.P2D
Read a P2D object from a serialized file
readSerialized(String) - Method in class jhplot.P3D
Read a P3D object from a serialized file
readSerialized(String) - Method in class jhplot.PND
Read a PND object from a serialized file
readSerialized(String) - Method in class jhplot.PNI
Read a PNI object from a serialized file
readShort() - Method in class jhplot.math.io.LEDataInputStream
 
readShort() - Method in class jhplot.math.io.LERandomAccessFile
like RandomAcessFile.readShort except little endian.
readString1DDouble(String) - Static method in class jhplot.math.io.ArrayString
 
readString1DDouble(String, String, String) - Static method in class jhplot.math.io.ArrayString
 
readString1DInt(String) - Static method in class jhplot.math.io.ArrayString
 
readString1DInt(String, String, String) - Static method in class jhplot.math.io.ArrayString
 
readStringDouble(String) - Static method in class jhplot.math.io.ArrayString
 
readStringDouble(String, String, String) - Static method in class jhplot.math.io.ArrayString
 
readStringInt(String) - Static method in class jhplot.math.io.ArrayString
 
readStringInt(String, String, String) - Static method in class jhplot.math.io.ArrayString
 
readUnsignedByte() - Method in class jhplot.math.io.LEDataInputStream
 
readUnsignedByte() - Method in class jhplot.math.io.LERandomAccessFile
 
readUnsignedShort() - Method in class jhplot.math.io.LEDataInputStream
 
readUnsignedShort() - Method in class jhplot.math.io.LERandomAccessFile
like RandomAcessFile.readUnsignedShort except little endian.
readUTF() - Method in class jhplot.math.io.LEDataInputStream
 
readUTF(DataInput) - Static method in class jhplot.math.io.LEDataInputStream
 
readUTF() - Method in class jhplot.math.io.LERandomAccessFile
 
readXML(String) - Static method in class jhplot.io.Serialized
Read an object from a serialized XML file (should be written using writeXML() method).
readZip(String) - Method in class jhplot.P0D
Read one dimensional data from ZIP ASCII file.
readZip(String) - Method in class jhplot.P0I
Read one dimensional data from ZIP ASCII file.
readZip(String) - Method in class jhplot.P1D
Read P1D from a Zipped file.
readZip(String) - Method in class jhplot.P2D
Read P1D from a Zipped file.
readZip(String) - Method in class jhplot.P3D
Read P3D from a Zipped file.
readZip(String) - Method in class jhplot.PND
Read the data from ZIPed external file.
readZip(String) - Method in class jhplot.PNI
Read the data from ZIPed external file.
real() - Method in class jhplot.math.Complex
Real part of this Complex number (the x-coordinate in rectangular coordinates).
RealConvergenceChecker - Interface in org.apache.commons.math.optimization
This interface specifies how to check if an optimization algorithm has converged.
RealMatrix - Interface in org.apache.commons.math.linear
Interface defining a real-valued matrix with basic algebraic operations.
RealMatrixChangingVisitor - Interface in org.apache.commons.math.linear
Interface defining a visitor for matrix entries.
RealMatrixImpl - Class in org.apache.commons.math.linear
Deprecated. as of 2.0 replaced by Array2DRowRealMatrix
RealMatrixImpl() - Constructor for class org.apache.commons.math.linear.RealMatrixImpl
Deprecated. Creates a matrix with no data
RealMatrixImpl(int, int) - Constructor for class org.apache.commons.math.linear.RealMatrixImpl
Deprecated. Create a new RealMatrix with the supplied row and column dimensions.
RealMatrixImpl(double[][]) - Constructor for class org.apache.commons.math.linear.RealMatrixImpl
Deprecated. Create a new RealMatrix using the input array as the underlying data array.
RealMatrixImpl(double[][], boolean) - Constructor for class org.apache.commons.math.linear.RealMatrixImpl
Deprecated. Create a new RealMatrix using the input array as the underlying data array.
RealMatrixImpl(double[]) - Constructor for class org.apache.commons.math.linear.RealMatrixImpl
Deprecated. Create a new (column) RealMatrix using v as the data for the unique column of the v.length x 1 matrix created.
RealMatrixPreservingVisitor - Interface in org.apache.commons.math.linear
Interface defining a visitor for matrix entries.
RealPointValuePair - Class in org.apache.commons.math.optimization
This class holds a point and the value of an objective function at this point.
RealPointValuePair(double[], double) - Constructor for class org.apache.commons.math.optimization.RealPointValuePair
Build a point/objective function value pair.
RealPointValuePair(double[], double, boolean) - Constructor for class org.apache.commons.math.optimization.RealPointValuePair
Build a point/objective function value pair.
RealTransformer - Interface in org.apache.commons.math.transform
Interface for one-dimensional data sets transformations producing real results.
RealVector - Interface in org.apache.commons.math.linear
Interface defining a real-valued vector with basic algebraic operations.
RealVector.Entry - Class in org.apache.commons.math.linear
Class representing a modifiable entry in the vector.
RealVector.Entry() - Constructor for class org.apache.commons.math.linear.RealVector.Entry
 
RealVectorFormat - Class in org.apache.commons.math.linear
Formats a vector in components list format "{v0; v1; ...; vk-1}".
RealVectorFormat() - Constructor for class org.apache.commons.math.linear.RealVectorFormat
Create an instance with default settings.
RealVectorFormat(NumberFormat) - Constructor for class org.apache.commons.math.linear.RealVectorFormat
Create an instance with a custom number format for components.
RealVectorFormat(String, String, String) - Constructor for class org.apache.commons.math.linear.RealVectorFormat
Create an instance with custom prefix, suffix and separator.
RealVectorFormat(String, String, String, NumberFormat) - Constructor for class org.apache.commons.math.linear.RealVectorFormat
Create an instance with custom prefix, suffix, separator and format for components.
rebin(int) - Method in class jhplot.H1D
Rebin a histogram with constant bin width.
reciprocal() - Method in class org.apache.commons.math.fraction.BigFraction
Return the multiplicative inverse of this fraction.
reciprocal() - Method in class org.apache.commons.math.fraction.Fraction
Return the multiplicative inverse of this fraction.
recordExists(String) - Method in class jhplot.io.BaseRecordsFile
Checks there is a record with the given key.
recordExists(String) - Method in class jhplot.io.RecordsFile
Checks if there is a record belonging to the given key.
RecordHeader - Class in jhplot.io
 
RecordReader - Class in jhplot.io
 
recordsFile - Variable in class jhplot.io.HDataBase
 
recordsFile - Variable in class jhplot.io.HFile
 
recordsFile - Variable in class jhplot.io.HFileXML
 
RecordsFile - Class in jhplot.io
 
RecordsFile(String, int) - Constructor for class jhplot.io.RecordsFile
Creates a new database file.
RecordsFile(String, String) - Constructor for class jhplot.io.RecordsFile
Opens an existing database and initializes the in-memory index.
RecordsFileException - Exception in jhplot.io
 
RecordWriter - Class in jhplot.io
 
RecordWriter(String) - Constructor for class jhplot.io.RecordWriter
 
RECTAN - Static variable in class jhplot.shapes.HShape
 
Rectan - Class in jhplot.shapes
Draw a rectangle using the user or NDC coordinate system
Rectan(double, double, double, double, Stroke, Color) - Constructor for class jhplot.shapes.Rectan
Build a rectangle
Rectan(double, double, double, double) - Constructor for class jhplot.shapes.Rectan
Build a rectangle.
reduce() - Method in class org.apache.commons.math.fraction.BigFraction
Reduce this BigFraction to its lowest terms.
RefreshFrame() - Method in class jhplot.HPlot
Refresh all the frames
regularizedBeta(double, double, double) - Static method in class jhplot.math.num.special.Beta
Returns the regularized beta function Ix(a, b) (1).
regularizedBeta(double, double, double) - Static method in class org.apache.commons.math.special.Beta
Returns the regularized beta function I(x, a, b).
regularizedBeta(double, double, double, double) - Static method in class org.apache.commons.math.special.Beta
Returns the regularized beta function I(x, a, b).
regularizedBeta(double, double, double, int) - Static method in class org.apache.commons.math.special.Beta
Returns the regularized beta function I(x, a, b).
regularizedBeta(double, double, double, double, int) - Static method in class org.apache.commons.math.special.Beta
Returns the regularized beta function I(x, a, b).
regularizedGammaP(double, double) - Static method in class jhplot.math.num.special.Gamma
Returns the regularized gamma function P(a, x) (1).
regularizedGammaP(double, double) - Static method in class org.apache.commons.math.special.Gamma
Returns the regularized gamma function P(a, x).
regularizedGammaP(double, double, double, int) - Static method in class org.apache.commons.math.special.Gamma
Returns the regularized gamma function P(a, x).
regularizedGammaQ(double, double) - Static method in class jhplot.math.num.special.Gamma
Returns the regularized gamma function Q(a, x) = 1 - P(a, x) (1).
regularizedGammaQ(double, double) - Static method in class org.apache.commons.math.special.Gamma
Returns the regularized gamma function Q(a, x) = 1 - P(a, x).
regularizedGammaQ(double, double, double, int) - Static method in class org.apache.commons.math.special.Gamma
Returns the regularized gamma function Q(a, x) = 1 - P(a, x).
reinitialize(double[], boolean) - Method in class org.apache.commons.math.ode.sampling.NordsieckStepInterpolator
Reinitialize the instance.
reinitialize(double, double, double[], Array2DRowRealMatrix) - Method in class org.apache.commons.math.ode.sampling.NordsieckStepInterpolator
Reinitialize the instance.
reinitializeBegin(StepInterpolator) - Method in class org.apache.commons.math.ode.events.EventState
Reinitialize the beginning of the step.
rejection(Function, double, double, double) - Static method in class jhplot.math.Random
Generate a random number from a random variable definied by its density function, using the rejection technic.
rejection(ParseFunction, double, double, double) - Static method in class jhplot.math.Random
Generate a random number from a random variable definied by its density function, using the rejection technic.
Relationship - Enum in org.apache.commons.math.optimization.linear
Types of relationships between two cells in a Solver LinearConstraint.
reloadCanvas() - Static method in class jhplot.SHPlot
Reload the canvas by removing components
reloadCanvas() - Static method in class jhplot.SHPlot3D
Reload the canvas by removing components
reloadCanvas() - Static method in class jhplot.SHPlotJa
Reload the canvas by removing components
reloadData(String) - Method in class jhplot.bsom.Bsom
 
remainder(Dfp) - Method in class org.apache.commons.math.dfp.Dfp
Returns the IEEE remainder.
remove(String) - Method in class hep.aida.ref.function.FunctionCatalog
 
remove(String) - Method in class jhplot.io.HDataBase
Remove object from the database using the key
remove(int) - Method in class jhplot.P0D
Remove a value at the specified position.
remove(int) - Method in class jhplot.P0I
Remove a value at the specified position.
remove(int) - Method in class jhplot.PND
Remove a row
remove(int) - Method in class jhplot.PNI
Remove a row
remove() - Method in class org.apache.commons.math.util.MultidimensionalCounter.Iterator
 
remove(int) - Method in class org.apache.commons.math.util.OpenIntToDoubleHashMap
Remove the value associated with a key.
remove(int) - Method in class org.apache.commons.math.util.OpenIntToFieldHashMap
Remove the value associated with a key.
removeAllFunctions() - Method in class hep.aida.ref.function.SumOfFunctions
 
removeAllListeners() - Method in class hep.aida.ref.event.AIDAObservable
 
removeAllListeners() - Method in interface hep.aida.ref.event.IsObservable
 
removeAxes() - Method in class jhplot.HPlot
Remove X and Y axes, ticks, axis labels on the current plot.
removeAxes() - Method in class jhplot.HPlotJa
remove X and Y axes, tics, axis labels on the current plot.
removeBounds() - Method in class hep.aida.ref.fitter.FitParameterSettings
 
removeContentFromBin(int[], int, double, double[], double[]) - Method in interface hep.aida.ref.dataset.binner.Binner
Remove a set of entries from a bin.
removeContentFromBin(int[], int, double, double[], double[]) - Method in class hep.aida.ref.dataset.binner.DefaultBinner
 
removeContentFromBin(int[], int, double, double[], double[]) - Method in class hep.aida.ref.dataset.binner.EfficiencyBinner
 
removeData(double, double) - Method in class org.apache.commons.math.stat.regression.SimpleRegression
Removes the observation (x,y) from the regression data set.
removeData(double[][]) - Method in class org.apache.commons.math.stat.regression.SimpleRegression
Removes observations represented by the elements in data.
removeEntries(double[], double[], double, double, int) - Method in class hep.aida.ref.dataset.DataStatistics
Remove the information corresponding to a set of weighted entries.
removeEntries(double[], double[], int) - Method in class hep.aida.ref.dataset.DataStatistics
Remove the information corresponding to a set of weighted entries.
removeEntry(double[], double) - Method in class hep.aida.ref.dataset.DataStatistics
Remove a weighted entry from this DataSetStatistics.
removeEntry(double[]) - Method in class hep.aida.ref.dataset.DataStatistics
Remove an entry from this DataSetStatistics with unit weight.
removeFunction(IFunction) - Method in class hep.aida.ref.function.SumOfFunctions
 
removeFunctionListener(FunctionListener) - Method in class hep.aida.ref.function.AbstractIFunction
 
removeFunctionListener(FunctionListener) - Method in class hep.aida.ref.function.BaseModelFunction
 
removeFunctionListener(FunctionListener) - Method in interface hep.aida.ref.function.FunctionDispatcher
 
removeGraph() - Method in class jhplot.HPlot
Remove all components from the JHPlot frame.
removeItem(String) - Method in class hep.aida.ref.Annotation
Remove the item indicated by a given key.
removeLabel(int) - Method in class jhplot.HPlot
remove i-th HLabel or HMLabel on the current plot
removeLabels() - Method in class jhplot.HPlot
remove HLabels and HMLabels on the current plot
removeLabelsAll() - Method in class jhplot.HPlot
remove all Labels on all plots.
removeListener(AIDAListener) - Method in class hep.aida.ref.event.AIDAObservable
 
removeListener(AIDAListener) - Method in interface hep.aida.ref.event.IsObservable
 
removeMostRecentValue() - Method in class org.apache.commons.math.stat.descriptive.DescriptiveStatistics
Removes the most recent value from the dataset.
removeObject(int, int, int) - Method in class jhplot.HPlotJa
Remove a particular object
removePoint(int) - Method in class hep.aida.ref.histogram.DataPointSet
 
removePrimitives() - Method in class jhplot.HPlot
remove 2D java primitives on the current plot
removePrimitives(int) - Method in class jhplot.HPlot
remove i-th 2D java primitives on the current plot
removePrimitivesAll() - Method in class jhplot.HPlot
remove all 2D java primitives
removeTransformer(Class<?>) - Method in class org.apache.commons.math.util.TransformerMap
Removes a Class to Transformer Mapping in the Map.
renameLegend(int, String) - Method in class jhplot.SPlot
Rename a legend.
replace(int, double, double, double, double, double, double, double, double, double, double) - Method in class jhplot.P1D
replaces the ith value of a plot-point pair (x,y).
replaceMostRecentValue(double) - Method in class org.apache.commons.math.stat.descriptive.DescriptiveStatistics
Replaces the most recently stored value with the given value.
REPLAY_MODE - Static variable in class org.apache.commons.math.random.ValueServer
Replay data from valuesFilePath.
requiresDenseOutput() - Method in class org.apache.commons.math.ode.ContinuousOutputModel
Determines whether this handler needs dense output.
requiresDenseOutput() - Method in interface org.apache.commons.math.ode.jacobians.StepHandlerWithJacobians
Deprecated. Determines whether this handler needs dense output.
requiresDenseOutput() - Method in class org.apache.commons.math.ode.sampling.DummyStepHandler
Determines whether this handler needs dense output.
requiresDenseOutput() - Method in interface org.apache.commons.math.ode.sampling.StepHandler
Determines whether this handler needs dense output.
requiresDenseOutput() - Method in class org.apache.commons.math.ode.sampling.StepNormalizer
Determines whether this handler needs dense output.
rescale(int) - Method in class jhplot.PND
Rescale the column vectors.
rescale(double[][]) - Method in class jhplot.PND
This is an inverse operation to rescale(type) function.
rescale(double) - Method in class org.apache.commons.math.ode.sampling.NordsieckStepInterpolator
Rescale the instance.
rescaleObject(int, int, float) - Method in class jhplot.jadraw.JaArcObject
Rescales this JaArcObject by the scale factor scale.
rescaleObject(int, int, float) - Method in class jhplot.jadraw.JaAxes
Rescales this JaAxes by the scale factor scale, keeping the point (orx, ory) fixed.
rescaleObject(int, int, float) - Method in class jhplot.jadraw.JaBlob
Rescales this JaBlob by the scale factor scale, keeping the point (orx, ory) fixed.
rescaleObject(int, int, float) - Method in class jhplot.jadraw.JaBox
Rescales this Label by the scale factor scale, keeping the point (orx, ory) fixed.
rescaleObject(int, int, float) - Method in class jhplot.jadraw.JaKey
Rescales this label by the scale factor scale, keeping the point (orx, ory) fixed.
rescaleObject(int, int, float) - Method in class jhplot.jadraw.JaLatexText
Rescales this JaxoText by the scale factor scale, keeping the point (orx, ory) fixed.
rescaleObject(int, int, float) - Method in class jhplot.jadraw.JaLineObject
Rescales this JaxoLine by the scale factor scale, keeping the point (orx, ory) fixed.
rescaleObject(int, int, float) - Method in class jhplot.jadraw.JaLoopObject
Rescales this JaxoLoop by the scale factor scale, keeping the point (orx, ory) fixed.
rescaleObject(int, int, float) - Method in class jhplot.jadraw.JaObject
Abstract class to rescale this JaObject by the scale factor scale, keeping the point (orx, ory) fixed.
rescaleObject(int, int, float) - Method in class jhplot.jadraw.JaText
Rescales this label by the scale factor scale, keeping the point (orx, ory) fixed.
rescaleObject(int, int, float) - Method in class jhplot.jadraw.JaTextBox
Rescales this Label by the scale factor scale, keeping the point (orx, ory) fixed.
rescaleObject(int, int, float) - Method in class jhplot.jadraw.JaVertex
Rescales this JaVertex by the scale factor scale, keeping the point (orx, ory) fixed.
rescaleObject(int, int, float) - Method in class jhplot.jadraw.JaVertexT5
Rescales this JaVertex by the scale factor scale, keeping the point (orx, ory) fixed.
reSeed(long) - Method in class org.apache.commons.math.random.RandomDataImpl
Reseeds the random number generator with the supplied seed.
reSeed() - Method in class org.apache.commons.math.random.RandomDataImpl
Reseeds the random number generator with the current time in milliseconds.
reseedRandomGenerator(long) - Method in class org.apache.commons.math.distribution.AbstractContinuousDistribution
Reseeds the random generator used to generate samples.
reseedRandomGenerator(long) - Method in class org.apache.commons.math.distribution.AbstractIntegerDistribution
Reseeds the random generator used to generate samples.
reSeedSecure() - Method in class org.apache.commons.math.random.RandomDataImpl
Reseeds the secure random number generator with the current time in milliseconds.
reSeedSecure(long) - Method in class org.apache.commons.math.random.RandomDataImpl
Reseeds the secure random number generator with the supplied seed.
reset() - Method in class hep.aida.ref.Annotation
Reset the contents of the Annotation.
reset() - Method in interface hep.aida.ref.dataset.binner.Binner
Reset the content of the Binner.
reset() - Method in class hep.aida.ref.dataset.binner.DefaultBinner
Reset the content of the Binner.
reset() - Method in class hep.aida.ref.dataset.DataStatistics
Reset all the statistics quantities to zero.
reset() - Method in class hep.aida.ref.fitter.fitdata.FitData
 
reset() - Method in class hep.aida.ref.fitter.FitParameterSettings
 
reset() - Method in class hep.aida.ref.histogram.AbstractBaseHistogram
Reset the histogram; as if just created.
reset() - Method in class hep.aida.ref.histogram.Cloud
Reset the histogram; as if just created.
reset() - Method in class hep.aida.ref.histogram.Cloud1D
 
reset() - Method in class hep.aida.ref.histogram.Cloud2D
 
reset() - Method in class hep.aida.ref.histogram.Cloud3D
 
reset() - Method in class hep.aida.ref.histogram.Histogram
Reset the Histogram.
reset() - Method in class hep.aida.ref.histogram.Histogram1D
Reset the Histogram.
reset() - Method in class hep.aida.ref.histogram.Histogram2D
Reset the Histogram.
reset() - Method in class hep.aida.ref.histogram.Histogram3D
Reset the Histogram.
reset() - Method in class hep.aida.ref.histogram.Profile1D
 
reset() - Method in class hep.aida.ref.histogram.Profile2D
 
reset() - Method in class hep.aida.ref.tuple.AbstractTuple
 
reset() - Method in class hep.aida.ref.tuple.ReadOnlyAbstractTuple
 
reset() - Method in class hep.aida.ref.tuple.Tuple
 
reset() - Method in class hep.aida.ref.tuple.TupleColumn
 
reset() - Method in class hep.aida.ref.tuple.TupleColumn.TupleColumnFolder
 
reset() - Method in class jhplot.HNeuralNet
Reset the weight matrix and the thresholds.
reset(double, double) - Method in class jhplot.math.ValueErr
Set value and errors to 0
reset() - Method in class jhplot.stat.LinReg
reset data to 0
reset() - Method in class org.apache.commons.math.ode.ContinuousOutputModel
Reset the step handler.
reset(double, double[]) - Method in class org.apache.commons.math.ode.events.CombinedEventsManager
Deprecated. Let the event handlers reset the state if they want.
reset(double, double[]) - Method in class org.apache.commons.math.ode.events.EventState
Let the event handler reset the state if it wants.
reset() - Method in interface org.apache.commons.math.ode.jacobians.StepHandlerWithJacobians
Deprecated. Reset the step handler.
reset() - Method in class org.apache.commons.math.ode.sampling.DummyStepHandler
Reset the step handler.
reset() - Method in interface org.apache.commons.math.ode.sampling.StepHandler
Reset the step handler.
reset() - Method in class org.apache.commons.math.ode.sampling.StepNormalizer
Reset the step handler.
RESET_DERIVATIVES - Static variable in interface org.apache.commons.math.ode.events.EventHandler
Reset derivatives indicator.
RESET_DERIVATIVES - Static variable in interface org.apache.commons.math.ode.jacobians.EventHandlerWithJacobians
Deprecated. Reset derivatives indicator.
RESET_STATE - Static variable in interface org.apache.commons.math.ode.events.EventHandler
Reset state indicator.
RESET_STATE - Static variable in interface org.apache.commons.math.ode.jacobians.EventHandlerWithJacobians
Deprecated. Reset state indicator.
resetAbsoluteAccuracy() - Method in interface org.apache.commons.math.ConvergingAlgorithm
Deprecated. Reset the absolute accuracy to the default.
resetAbsoluteAccuracy() - Method in class org.apache.commons.math.ConvergingAlgorithmImpl
Deprecated. Reset the absolute accuracy to the default.
resetAbsoluteAccuracy() - Method in class org.apache.commons.math.optimization.MultiStartUnivariateRealOptimizer
Reset the absolute accuracy to the default.
resetAxes() - Method in class jhplot.SPlot
Reset the X and Y axes to the ranges that were first specified using setXRange() and setYRange().
resetBin(int[]) - Method in interface hep.aida.ref.dataset.binner.Binner
Reset the content of a bin.
resetBin(int[]) - Method in class hep.aida.ref.dataset.binner.DefaultBinner
Reset the content of a bin.
resetConstraints() - Method in class hep.aida.ref.fitter.Fitter
 
resetFunctionValueAccuracy() - Method in interface org.apache.commons.math.analysis.solvers.UnivariateRealSolver
Reset the actual function accuracy to the default.
resetFunctionValueAccuracy() - Method in class org.apache.commons.math.analysis.solvers.UnivariateRealSolverImpl
Deprecated. Reset the actual function accuracy to the default.
resetMargins() - Method in class jhplot.GHPanel
Reset all margins to the default values.
resetMaximalIterationCount() - Method in interface org.apache.commons.math.ConvergingAlgorithm
Deprecated. Reset the upper limit for the number of iterations to the default.
resetMaximalIterationCount() - Method in class org.apache.commons.math.ConvergingAlgorithmImpl
Deprecated. Reset the upper limit for the number of iterations to the default.
resetMaximalIterationCount() - Method in class org.apache.commons.math.optimization.MultiStartUnivariateRealOptimizer
Reset the upper limit for the number of iterations to the default.
resetMinimalIterationCount() - Method in interface org.apache.commons.math.analysis.integration.UnivariateRealIntegrator
Reset the lower limit for the number of iterations to the default.
resetMinimalIterationCount() - Method in class org.apache.commons.math.analysis.integration.UnivariateRealIntegratorImpl
Reset the lower limit for the number of iterations to the default.
resetParameterSettings() - Method in class hep.aida.ref.fitter.Fitter
 
resetRelativeAccuracy() - Method in interface org.apache.commons.math.ConvergingAlgorithm
Deprecated. Reset the relative accuracy to the default.
resetRelativeAccuracy() - Method in class org.apache.commons.math.ConvergingAlgorithmImpl
Deprecated. Reset the relative accuracy to the default.
resetRelativeAccuracy() - Method in class org.apache.commons.math.optimization.MultiStartUnivariateRealOptimizer
Reset the relative accuracy to the default.
resetReplayFile() - Method in class org.apache.commons.math.random.ValueServer
Resets REPLAY_MODE file pointer to the beginning of the valuesFileURL.
resetRow() - Method in class hep.aida.ref.tuple.AbstractTuple
 
resetRow() - Method in class hep.aida.ref.tuple.ReadOnlyAbstractTuple
 
resetRow() - Method in class hep.aida.ref.tuple.Tuple
 
resetRow() - Method in class hep.aida.ref.tuple.TupleColumn
 
resetRow() - Method in class hep.aida.ref.tuple.TupleColumn.TupleColumnFolder
 
resetRows(int) - Method in class hep.aida.ref.tuple.TupleColumn
Clears the values on the stack.
resetRows(int) - Method in class hep.aida.ref.tuple.TupleColumn.TupleColumnFolder
 
resetState(double, double[]) - Method in interface org.apache.commons.math.ode.events.EventHandler
Reset the state prior to continue the integration.
resetState(double, double[], double[][], double[][]) - Method in interface org.apache.commons.math.ode.jacobians.EventHandlerWithJacobians
Deprecated. Reset the state prior to continue the integration.
resetStyle() - Method in class jhplot.HPlot
Resets the current plot settings to default values.
resetStyleAll() - Method in class jhplot.HPlot
Resets all plot settings to default values.
resetUnitNumber(int) - Method in class jhplot.bsom.BsomDemo
 
reshape(int, int, int, int) - Method in class jhplot.v3d.Canvas3d
 
ResizableDoubleArray - Class in org.apache.commons.math.util
A variable length DoubleArray implementation that automatically handles expanding and contracting its internal storage array as elements are added and removed.
ResizableDoubleArray() - Constructor for class org.apache.commons.math.util.ResizableDoubleArray
Create a ResizableArray with default properties.
ResizableDoubleArray(int) - Constructor for class org.apache.commons.math.util.ResizableDoubleArray
Create a ResizableArray with the specified initial capacity.
ResizableDoubleArray(double[]) - Constructor for class org.apache.commons.math.util.ResizableDoubleArray
Create a ResizableArray from an existing double[] with the initial capacity and numElements corresponding to the size of the supplied double[] array.
ResizableDoubleArray(int, float) - Constructor for class org.apache.commons.math.util.ResizableDoubleArray
Create a ResizableArray with the specified initial capacity and expansion factor.
ResizableDoubleArray(int, float, float) - Constructor for class org.apache.commons.math.util.ResizableDoubleArray
Create a ResizableArray with the specified initialCapacity, expansionFactor, and contractionCriteria.
ResizableDoubleArray(int, float, float, int) - Constructor for class org.apache.commons.math.util.ResizableDoubleArray
Create a ResizableArray with the specified properties.
ResizableDoubleArray(ResizableDoubleArray) - Constructor for class org.apache.commons.math.util.ResizableDoubleArray
Copy constructor.
RESIZE - Static variable in class jhplot.jadraw.JaObject
An integer that indicates the current edit mode RESIZE.
resize(double[][], int, int) - Static method in class jhplot.math.DoubleArray
Generate a resized copy of a matrix
restMass2() - Method in class hephysics.vec.HepLorentzVector
Rest mass squared -- same as m2()
reverse(int) - Static method in class jhplot.math.SortUtils
Create reverse permutation, that is {n-1, ....
reverse() - Method in class jhplot.P0D
Reverse the order of elements
reverse() - Method in class jhplot.P0I
Reverse the order of elements
revert() - Method in class org.apache.commons.math.geometry.Rotation
Revert a rotation.
richardson(int, F1D, double, double) - Static method in class jhplot.math.Numeric
Numerical integration using the Richardson extrapolation.
RiddersSolver - Class in org.apache.commons.math.analysis.solvers
Implements the Ridders' Method for root finding of real univariate functions.
RiddersSolver(UnivariateRealFunction) - Constructor for class org.apache.commons.math.analysis.solvers.RiddersSolver
Deprecated. as of 2.0 the function to solve is passed as an argument to the RiddersSolver.solve(UnivariateRealFunction, double, double) or UnivariateRealSolver.solve(UnivariateRealFunction, double, double, double) method.
RiddersSolver() - Constructor for class org.apache.commons.math.analysis.solvers.RiddersSolver
Deprecated. in 2.2
rightWithin(Rectangle, Dimension) - Static method in class jhplot.v3d.Util
 
rightWithin(Component, Component) - Static method in class jhplot.v3d.Util
Puts to the right
RINT - Static variable in class org.apache.commons.math.analysis.ComposableFunction
The FastMath.rint method wrapped as a ComposableFunction.
rint() - Method in class org.apache.commons.math.dfp.Dfp
Round to nearest integer using the round-half-even method.
rint(double) - Static method in class org.apache.commons.math.util.FastMath
Get the whole number that is the nearest to x, or the even one if x is exactly half way between two integers.
rm(String) - Method in class hep.aida.ref.tree.Tree
Remove an IManagedObject by specifying its path.
rmdir(String) - Method in class hep.aida.ref.tree.Tree
Remove a directory and all the contents underneath.
rms(int[], int) - Method in interface hep.aida.ref.dataset.binner.Binner
Get the rms of a bin along a given coordinate.
rms(int[], int) - Method in class hep.aida.ref.dataset.binner.DefaultBinner
Get the rms of a bin along a given coordinate.
rms(int) - Method in class hep.aida.ref.dataset.DataStatistics
Get the rms for a given coordinate.
rms(int) - Method in class hep.aida.ref.histogram.binner.AbstractBinner1D
 
rms(int) - Method in interface hep.aida.ref.histogram.binner.Binner1D
 
rms() - Method in class hep.aida.ref.histogram.Cloud1D
Get the Cloud's rms.
rms() - Method in class hep.aida.ref.histogram.Histogram1D
Get the RMS of the whole Histogram.
rms() - Method in class hep.aida.ref.histogram.Profile1D
 
rms() - Method in class hep.aida.ref.tuple.AbstractTuple.AbstractTupleColumnFactory.BaseTupleColumn
 
rms() - Method in class hep.aida.ref.tuple.TupleColumn
 
rms() - Method in class jhplot.H1D
Get RMS of histogram
rms() - Method in class jhplot.HProf1D
Get RMS of histogram
rmsValue(Value) - Method in class hep.aida.ref.tuple.AbstractTuple.AbstractTupleColumnFactory.BaseTupleColumn
 
rmsValue(Value) - Method in interface hep.aida.ref.tuple.FTupleColumn
 
rmsValue(Value) - Method in class hep.aida.ref.tuple.TupleColumn
 
rmsX(int, int) - Method in class hep.aida.ref.histogram.binner.BasicBinner2D
 
rmsX(int, int, int) - Method in class hep.aida.ref.histogram.binner.BasicBinner3D
 
rmsX(int, int) - Method in interface hep.aida.ref.histogram.binner.Binner2D
 
rmsX(int, int, int) - Method in interface hep.aida.ref.histogram.binner.Binner3D
 
rmsX(int, int) - Method in class hep.aida.ref.histogram.binner.EfficiencyBinner2D
 
rmsX(int, int, int) - Method in class hep.aida.ref.histogram.binner.EfficiencyBinner3D
 
rmsX() - Method in class hep.aida.ref.histogram.Cloud2D
Get the Cloud's x rms.
rmsX() - Method in class hep.aida.ref.histogram.Cloud3D
Get the Cloud's x rms.
rmsX() - Method in class hep.aida.ref.histogram.Histogram2D
Get the RMS of the whole Histogram as projected on the x axis.
rmsX() - Method in class hep.aida.ref.histogram.Histogram3D
Get the RMS of the whole Histogram as projected on the x axis.
rmsX() - Method in class hep.aida.ref.histogram.Profile2D
 
rmsX() - Method in class jhplot.P1D
Returns RMS for X-values.
rmsY(int, int) - Method in class hep.aida.ref.histogram.binner.BasicBinner2D
 
rmsY(int, int, int) - Method in class hep.aida.ref.histogram.binner.BasicBinner3D
 
rmsY(int, int) - Method in interface hep.aida.ref.histogram.binner.Binner2D
 
rmsY(int, int, int) - Method in interface hep.aida.ref.histogram.binner.Binner3D
 
rmsY(int, int) - Method in class hep.aida.ref.histogram.binner.EfficiencyBinner2D
 
rmsY(int, int, int) - Method in class hep.aida.ref.histogram.binner.EfficiencyBinner3D
 
rmsY() - Method in class hep.aida.ref.histogram.Cloud2D
Get the Cloud's y rms.
rmsY() - Method in class hep.aida.ref.histogram.Cloud3D
Get the Cloud's y rms.
rmsY() - Method in class hep.aida.ref.histogram.Histogram2D
Get the RMS of the whole Histogram as projected on the y axis.
rmsY() - Method in class hep.aida.ref.histogram.Histogram3D
Get the RMS of the whole Histogram as projected on the y axis.
rmsY() - Method in class hep.aida.ref.histogram.Profile2D
 
rmsY() - Method in class jhplot.P1D
Returns RMS for Y-values.
rmsZ(int, int, int) - Method in class hep.aida.ref.histogram.binner.BasicBinner3D
 
rmsZ(int, int, int) - Method in interface hep.aida.ref.histogram.binner.Binner3D
 
rmsZ(int, int, int) - Method in class hep.aida.ref.histogram.binner.EfficiencyBinner3D
 
rmsZ() - Method in class hep.aida.ref.histogram.Cloud3D
Get the Cloud's z rms.
rmsZ() - Method in class hep.aida.ref.histogram.Histogram3D
Get the RMS of the whole Histogram as projected on the z axis.
RNG - Interface in jhplot.math.num.random
Defines a random number generator that is capable of generating sequences of random numbers uniformly distributed between zero and one.
RombergIntegrator - Class in jhplot.math.num.integration
An implementation of Romberg Integration.
RombergIntegrator(Function) - Constructor for class jhplot.math.num.integration.RombergIntegrator
Create an integrator for the given function.
RombergIntegrator(Function, int, double) - Constructor for class jhplot.math.num.integration.RombergIntegrator
Create an integrator for the given function.
RombergIntegrator - Class in org.apache.commons.math.analysis.integration
Implements the Romberg Algorithm for integration of real univariate functions.
RombergIntegrator(UnivariateRealFunction) - Constructor for class org.apache.commons.math.analysis.integration.RombergIntegrator
Deprecated. as of 2.0 the integrand function is passed as an argument to the RombergIntegrator.integrate(UnivariateRealFunction, double, double)method.
RombergIntegrator() - Constructor for class org.apache.commons.math.analysis.integration.RombergIntegrator
Construct an integrator.
RootHistogramBrowser - Class in jhplot.root
A simple application for browsing histograms in Root Files
RootHistogramBrowser() - Constructor for class jhplot.root.RootHistogramBrowser
Histogram browser
Rotation - Class in org.apache.commons.math.geometry
This class implements rotations in a three-dimensional space.
Rotation(double, double, double, double, boolean) - Constructor for class org.apache.commons.math.geometry.Rotation
Build a rotation from the quaternion coordinates.
Rotation(Vector3D, double) - Constructor for class org.apache.commons.math.geometry.Rotation
Build a rotation from an axis and an angle.
Rotation(double[][], double) - Constructor for class org.apache.commons.math.geometry.Rotation
Build a rotation from a 3X3 matrix.
Rotation(Vector3D, Vector3D, Vector3D, Vector3D) - Constructor for class org.apache.commons.math.geometry.Rotation
Build the rotation that transforms a pair of vector into another pair.
Rotation(Vector3D, Vector3D) - Constructor for class org.apache.commons.math.geometry.Rotation
Build one of the rotations that transform one vector into another one.
Rotation(RotationOrder, double, double, double) - Constructor for class org.apache.commons.math.geometry.Rotation
Build a rotation from three Cardan or Euler elementary rotations.
RotationOrder - Class in org.apache.commons.math.geometry
This class is a utility representing a rotation order specification for Cardan or Euler angles specification.
round(double) - Static method in class org.apache.commons.math.util.FastMath
Get the closest long to x.
round(float) - Static method in class org.apache.commons.math.util.FastMath
Get the closest int to x.
round(double, int) - Static method in class org.apache.commons.math.util.MathUtils
Round the given value to the specified number of decimal places.
round(double, int, int) - Static method in class org.apache.commons.math.util.MathUtils
Round the given value to the specified number of decimal places.
round(float, int) - Static method in class org.apache.commons.math.util.MathUtils
Round the given value to the specified number of decimal places.
round(float, int, int) - Static method in class org.apache.commons.math.util.MathUtils
Round the given value to the specified number of decimal places.
roundDown(double, int) - Static method in class hep.aida.ref.AidaUtils
Round number down (closer to Negative Infinity): "order" defines which significant digit is rounded, order >= 0 roundDown(234.5, 0) -> 200.0 roundDown(234.5, 1) -> 230.0 roundDown(234.5, 2) -> 234.0
roundUp(double, int) - Static method in class hep.aida.ref.AidaUtils
Round number up (closer to Positive Infinity), "order" defines which significant digit is rounded, order >= 0 roundUp(234.5, 0) -> 300.0 roundUp(234.5, 1) -> 240.0 roundUp(234.5, 2) -> 235.0
row() - Method in interface hep.aida.ref.tuple.FTupleCursor
 
row() - Method in class hep.aida.ref.tuple.TupleCursor
 
rows() - Method in class hep.aida.ref.tuple.AbstractTuple
 
rows() - Method in class hep.aida.ref.tuple.ChainedTuple
The number of rows currently in the ntuple.
rows() - Method in interface hep.aida.ref.tuple.FTuple
 
rows() - Method in class hep.aida.ref.tuple.FTupleAdapter
 
rows() - Method in class hep.aida.ref.tuple.Tuple
 
ROWS_UNKNOWN - Static variable in interface hep.aida.ref.tuple.FTuple
 
rowVector(double[]) - Static method in class jhplot.math.DoubleArray
Converts an n element array into an 1 x n matrix.
rr - Variable in class jhplot.io.HDataBase
 
run() - Method in class jhplot.HBsom
Run the algorithm
run(double[]) - Method in class jhplot.stat.BunchingParameters
Collect information about sampling.
run(double[]) - Method in class jhplot.stat.FactorialMoments
Collect information about sampling.
run() - Method in class jhplot.v3d.Animation
 
run(boolean) - Method in class jhpro.stat.limit.StatConfidence
Run limit calculations.
run(int) - Method in class jminhep.cluster.Partition
Main method to run cluster algorithm
rungeKutta2(double[], F1D, double) - Static method in class jhplot.math.Numeric
Uses the 2nd order Runge-Kutta method to solve an ODE.
rungeKutta4(double[], F1D, double) - Static method in class jhplot.math.Numeric
Uses the 4th order Runge-Kutta method to solve an ODE.
RungeKuttaIntegrator - Class in org.apache.commons.math.ode.nonstiff
This class implements the common part of all fixed step Runge-Kutta integrators for Ordinary Differential Equations.
rw - Variable in class jhplot.io.HDataBase
 
rxy() - Method in class hephysics.vec.SpacePoint
Cylindrical r
rxyz() - Method in class hephysics.vec.SpacePoint
Spherical r

S

SaddlePoint - Class in jhplot.math.num.pdf
Utility class used by various distributions to accurately compute their respective probability mass functions.
SaddlePoint() - Constructor for class jhplot.math.num.pdf.SaddlePoint
Default constructor.
SAFE_MIN - Static variable in class org.apache.commons.math.util.MathUtils
Safe minimum, such that 1 / SAFE_MIN does not overflow.
safeNorm(double[]) - Static method in class org.apache.commons.math.util.MathUtils
Returns the Cartesian norm (2-norm), handling both overflow and underflow.
sample() - Method in class org.apache.commons.math.distribution.AbstractContinuousDistribution
Generates a random value sampled from this distribution.
sample(int) - Method in class org.apache.commons.math.distribution.AbstractContinuousDistribution
Generates a random sample from the distribution.
sample() - Method in class org.apache.commons.math.distribution.AbstractIntegerDistribution
Generates a random value sampled from this distribution.
sample(int) - Method in class org.apache.commons.math.distribution.AbstractIntegerDistribution
Generates a random sample from the distribution.
sample() - Method in class org.apache.commons.math.distribution.ExponentialDistributionImpl
Generates a random value sampled from this distribution.
sample() - Method in class org.apache.commons.math.distribution.NormalDistributionImpl
Generates a random value sampled from this distribution.
sample() - Method in class org.apache.commons.math.distribution.PoissonDistributionImpl
Generates a random value sampled from this distribution.
sample(UnivariateRealFunction, double, double, int) - Static method in class org.apache.commons.math.transform.FastFourierTransformer
Sample the given univariate real function on the given interval.
SArc(float, float, float, float, float, float) - Static method in class jhplot.jadraw.Diagram
A s-line for scalar particles.
save(String, String, String) - Method in class jhplot.HNeuralNet
Save current status of neural net.
scalarAdd(T) - Method in class org.apache.commons.math.linear.AbstractFieldMatrix
Returns the result of adding d to each entry of this.
scalarAdd(double) - Method in class org.apache.commons.math.linear.AbstractRealMatrix
Returns the result of adding d to each entry of this.
scalarAdd(BigDecimal) - Method in interface org.apache.commons.math.linear.BigMatrix
Deprecated. Returns the result of adding d to each entry of this.
scalarAdd(BigDecimal) - Method in class org.apache.commons.math.linear.BigMatrixImpl
Deprecated. Returns the result of adding d to each entry of this.
scalarAdd(T) - Method in class org.apache.commons.math.linear.BlockFieldMatrix
Returns the result of adding d to each entry of this.
scalarAdd(double) - Method in class org.apache.commons.math.linear.BlockRealMatrix
Returns the result of adding d to each entry of this.
scalarAdd(T) - Method in interface org.apache.commons.math.linear.FieldMatrix
Returns the result of adding d to each entry of this.
scalarAdd(double) - Method in interface org.apache.commons.math.linear.RealMatrix
Returns the result of adding d to each entry of this.
scalarMultiply(double, double[]) - Static method in class jhplot.math.ArrayMathUtils
Multiplies every component of an array by a scalar.
scalarMultiply(double, int[]) - Static method in class jhplot.math.ArrayMathUtils
Multiplies every component of an array by a scalar.
scalarMultiply(double) - Method in class org.apache.commons.math.geometry.Vector3D
Multiply the instance by a scalar
scalarMultiply(T) - Method in class org.apache.commons.math.linear.AbstractFieldMatrix
Returns the result multiplying each entry of this by d.
scalarMultiply(double) - Method in class org.apache.commons.math.linear.AbstractRealMatrix
Returns the result multiplying each entry of this by d.
scalarMultiply(BigDecimal) - Method in interface org.apache.commons.math.linear.BigMatrix
Deprecated. Returns the result multiplying each entry of this by d.
scalarMultiply(BigDecimal) - Method in class org.apache.commons.math.linear.BigMatrixImpl
Deprecated. Returns the result of multiplying each entry of this by d
scalarMultiply(T) - Method in class org.apache.commons.math.linear.BlockFieldMatrix
Returns the result multiplying each entry of this by d.
scalarMultiply(double) - Method in class org.apache.commons.math.linear.BlockRealMatrix
Returns the result multiplying each entry of this by d.
scalarMultiply(T) - Method in interface org.apache.commons.math.linear.FieldMatrix
Returns the result multiplying each entry of this by d.
scalarMultiply(double) - Method in interface org.apache.commons.math.linear.RealMatrix
Returns the result multiplying each entry of this by d.
scalarMultiplyFast(double, double[]) - Static method in class jhplot.math.ArrayMathUtils
Fast scalar multiplication for sparse arrays.
scalarMultiplyFast(double, int[]) - Static method in class jhplot.math.ArrayMathUtils
Fast scalar multiplication for sparse arrays.
scalarProduct(double[], double[]) - Static method in class jhplot.math.ArrayMathUtils
Computes the scalar product of two array as if they were vectors.
scalarProduct(double[][], double[][]) - Static method in class jhplot.math.ArrayMathUtils
Computes the scalar product of two array as if they were matrices.
scalarProduct(int[], int[]) - Static method in class jhplot.math.ArrayMathUtils
Computes the scalar product of two array as if they were vectors.
scalarProduct(int[][], int[][]) - Static method in class jhplot.math.ArrayMathUtils
Computes the scalar product of two array as if they were matrices.
scalb(double, int) - Static method in class org.apache.commons.math.util.FastMath
Multiply a double number by a power of 2.
scalb(float, int) - Static method in class org.apache.commons.math.util.FastMath
Multiply a float number by a power of 2.
scalb(double, int) - Static method in class org.apache.commons.math.util.MathUtils
Deprecated. as of 2.2, replaced by FastMath.scalb(double, int)
scale(double) - Method in interface hep.aida.ref.dataset.binner.Binner
Scale all the bins by a given scale factor.
scale(double) - Method in class hep.aida.ref.dataset.binner.DefaultBinner
Scale all the bins by a given scale factor.
scale(double) - Method in class hep.aida.ref.dataset.DataStatistics
Scale the statistics by a give scaleFactor Rescaling is equivalent to multiplying all the weights by the scale factor.
scale(double) - Method in class hep.aida.ref.histogram.binner.AbstractBinner1D
 
scale(double) - Method in class hep.aida.ref.histogram.binner.BasicBinner2D
 
scale(double) - Method in class hep.aida.ref.histogram.binner.BasicBinner3D
 
scale(double) - Method in interface hep.aida.ref.histogram.binner.Binner1D
 
scale(double) - Method in interface hep.aida.ref.histogram.binner.Binner2D
 
scale(double) - Method in interface hep.aida.ref.histogram.binner.Binner3D
 
scale(double) - Method in class hep.aida.ref.histogram.binner.EfficiencyBinner2D
 
scale(double) - Method in class hep.aida.ref.histogram.binner.EfficiencyBinner3D
 
scale(double) - Method in class hep.aida.ref.histogram.Cloud
Scale the weights by a given factor.
scale(double) - Method in class hep.aida.ref.histogram.Cloud1D
 
scale(double) - Method in class hep.aida.ref.histogram.Cloud2D
 
scale(double) - Method in class hep.aida.ref.histogram.Cloud3D
 
scale(double) - Method in class hep.aida.ref.histogram.DataPointSet
 
scale(double) - Method in class hep.aida.ref.histogram.Histogram
Scale the weights and the errors by a given factor.
scale(double) - Method in class hep.aida.ref.histogram.Histogram1D
Scale the weights and the errors by a given factor.
scale(double) - Method in class hep.aida.ref.histogram.Histogram2D
Scale the weights and the errors by a given factor.
scale(double) - Method in class hep.aida.ref.histogram.Histogram3D
Scale the weights and the errors by a given factor.
scale(double) - Method in class hep.aida.ref.histogram.Profile1D
 
scale(double) - Method in class hep.aida.ref.histogram.Profile2D
 
scale(String, double) - Method in class jhplot.H1D
Scale the histogram.
scale(double) - Method in class jhplot.H1D
Scale the histogram.
scale(String, double) - Method in class jhplot.H2D
Scale the histogram.
scale(double) - Method in class jhplot.H2D
Scale the histogram.
scale(String, double) - Method in class jhplot.HProf1D
Scale the histogram.
scale(double) - Method in class jhplot.HProf1D
Scale the histogram.
scale(int, double) - Method in class jhpro.stat.DataKeeper
Scale values and errors by a factor
scale(double) - Method in class jhpro.stat.DataKeeper
Scale all values and errors by a factor
scaleArray(double[], double) - Static method in class org.apache.commons.math.transform.FastFourierTransformer
Multiply every component in the given real array by the given real number.
scaleArray(Complex[], double) - Static method in class org.apache.commons.math.transform.FastFourierTransformer
Multiply every component in the given complex array by the given real number.
scaleErrors(double) - Method in class hep.aida.ref.histogram.DataPointSet
 
scalePoint(double, double, double, double, double) - Method in class jhplot.jadraw.JaObject
Returns a point that is obtained from a point (px, py) after a scale transformation scale, keeping the point (orx, ory) fixed.
scaleValues(double) - Method in class hep.aida.ref.histogram.DataPointSet
 
search(double) - Method in class jhplot.P0D
Search for the first occurrence of the given argument
search(Integer) - Method in class jhplot.P0I
Search for the first occurrence of the given argument
search(UnivariateRealFunction, GoalType, double, double) - Method in class org.apache.commons.math.optimization.univariate.BracketFinder
Search new points that bracket a local optimum of the function.
searchForFitnessUpdate(Population) - Method in class org.apache.commons.math.genetics.Chromosome
Searches the population for a chromosome representing the same solution, and if it finds one, updates the fitness to its value.
SecantRootFinder - Class in jhplot.math.num.root
The secant method (1) for finding roots of functions.
SecantRootFinder(Function) - Constructor for class jhplot.math.num.root.SecantRootFinder
Create a root finder for the given function.
SecantRootFinder(Function, int, double) - Constructor for class jhplot.math.num.root.SecantRootFinder
Create a root finder for the given function.
SecantSolver - Class in org.apache.commons.math.analysis.solvers
Implements a modified version of the secant method for approximating a zero of a real univariate function.
SecantSolver(UnivariateRealFunction) - Constructor for class org.apache.commons.math.analysis.solvers.SecantSolver
Deprecated. as of 2.0 the function to solve is passed as an argument to the SecantSolver.solve(UnivariateRealFunction, double, double) or UnivariateRealSolver.solve(UnivariateRealFunction, double, double, double) method.
SecantSolver() - Constructor for class org.apache.commons.math.analysis.solvers.SecantSolver
Deprecated. in 2.2 (to be removed in 3.0).
SecondMoment - Class in org.apache.commons.math.stat.descriptive.moment
Computes a statistic related to the Second Central Moment.
SecondMoment() - Constructor for class org.apache.commons.math.stat.descriptive.moment.SecondMoment
Create a SecondMoment instance
SecondMoment(SecondMoment) - Constructor for class org.apache.commons.math.stat.descriptive.moment.SecondMoment
Copy constructor, creates a new SecondMoment identical to the original
SecondOrderDifferentialEquations - Interface in org.apache.commons.math.ode
This interface represents a second order differential equations set.
SecondOrderIntegrator - Interface in org.apache.commons.math.ode
This interface represents a second order integrator for differential equations.
SECONDS - Static variable in class jhplot.JHPlot
 
seek(long) - Method in class jhplot.math.io.LERandomAccessFile
 
select(Population) - Method in interface org.apache.commons.math.genetics.SelectionPolicy
Select two chromosomes from the population.
select(Population) - Method in class org.apache.commons.math.genetics.TournamentSelection
Select two chromosomes from the population.
SELECT_BODY - Static variable in class jhplot.jadraw.JaObject
An integer that indicates that the user grabbed the body of an object.
SELECT_LL - Static variable in class jhplot.jadraw.JaObject
An integer that indicates that the user grabbed the lower left handle of an object.
SELECT_LR - Static variable in class jhplot.jadraw.JaObject
An integer that indicates that the user grabbed the lower right handle of an object.
SELECT_NONE - Static variable in class jhplot.jadraw.JaObject
An integer that indicates that the user did not grab any object.
SELECT_P1 - Static variable in class jhplot.jadraw.JaObject
An integer that specifies the first point of an arc object.
SELECT_P2 - Static variable in class jhplot.jadraw.JaObject
An integer that specifies the second point of an arc object.
SELECT_P3 - Static variable in class jhplot.jadraw.JaObject
An integer that specifies the third point of an arc object.
SELECT_UL - Static variable in class jhplot.jadraw.JaObject
An integer that indicates that the user grabbed the upper left handle of an object.
SELECT_UR - Static variable in class jhplot.jadraw.JaObject
An integer that indicates that the user grabbed the upper right handle of an object.
SelectionPolicy - Interface in org.apache.commons.math.genetics
Algorithm used to select a chromosome pair from a population.
seLocation(double, double) - Method in class jhplot.HMLabel
Sets the location of this label in data coordinates.
SemiVariance - Class in org.apache.commons.math.stat.descriptive.moment
Computes the semivariance of a set of values with respect to a given cutoff value.
SemiVariance() - Constructor for class org.apache.commons.math.stat.descriptive.moment.SemiVariance
Constructs a SemiVariance with default (true) biasCorrected property and default (Downside) varianceDirection property.
SemiVariance(boolean) - Constructor for class org.apache.commons.math.stat.descriptive.moment.SemiVariance
Constructs a SemiVariance with the specified biasCorrected property and default (Downside) varianceDirection property.
SemiVariance(SemiVariance.Direction) - Constructor for class org.apache.commons.math.stat.descriptive.moment.SemiVariance
Constructs a SemiVariance with the specified Direction property and default (true) biasCorrected property
SemiVariance(boolean, SemiVariance.Direction) - Constructor for class org.apache.commons.math.stat.descriptive.moment.SemiVariance
Constructs a SemiVariance with the specified isBiasCorrected property and the specified Direction property.
SemiVariance(SemiVariance) - Constructor for class org.apache.commons.math.stat.descriptive.moment.SemiVariance
Copy constructor, creates a new SemiVariance identical to the original
SemiVariance.Direction - Enum in org.apache.commons.math.stat.descriptive.moment
The direction of the semivariance - either upside or downside.
Serialized - Class in jhplot.io
Methods used for serialization.
Serialized() - Constructor for class jhplot.io.Serialized
 
serializeRealMatrix(RealMatrix, ObjectOutputStream) - Static method in class org.apache.commons.math.linear.MatrixUtils
Serialize a RealMatrix.
serializeRealVector(RealVector, ObjectOutputStream) - Static method in class org.apache.commons.math.linear.MatrixUtils
Serialize a RealVector.
Series - Class in jhplot.math.num
This class provides the means to evaluate infinite series (1).
set - Variable in class jhplot.HChart
 
set - Variable in class jhplot.HGraph
 
set - Variable in class jhplot.HPlot3D
 
set - Variable in class jhplot.HPlot3DP
 
set - Variable in class jhplot.HView3D
 
set(int, double) - Method in class jhplot.math.num.DoubleArray
Modify the element at the given index.
set(int, double) - Method in class jhplot.P0D
Sets a value at the specified position.
set(int, Integer) - Method in class jhplot.P0I
Sets a value at the specified position.
set(int, double, double) - Method in class jhplot.P1D
Sets the values of a plot-point pair (X,Y).
set(int, double, double, double, double) - Method in class jhplot.P1D
Sets the values of a plot-point pair (x,y).
set(int, double, double, double, double, double, double) - Method in class jhplot.P1D
Sets the values of a plot-point pair (x,y).
set(int, double, double, double, double, double, double, double, double, double, double) - Method in class jhplot.P1D
Sets the values of a plot-point pair (x,y).
set(int, double, double, double) - Method in class jhplot.P2D
Sets the values of (x,y,z).
set(int, double, double, double, double, double, double) - Method in class jhplot.P3D
Sets the values of (x,dx,y,dy,z,dz).
set(int, double[]) - Method in class jhplot.PND
Sets (replace) the specified row.
set(int, P0D) - Method in class jhplot.PND
Sets (replace) the specified element with P0D.
set(int, int[]) - Method in class jhplot.PNI
Sets (replace) the specified row.
set(int, P0I) - Method in class jhplot.PNI
Sets (replace) the specified element with P0D.
set(float, float, float) - Method in class jhplot.v3d.Vector3d
 
set(int, double, double, int) - Method in class jminhep.cluster.Partition
Set parameters for clustering
set(double) - Method in class org.apache.commons.math.linear.AbstractRealVector
Set all elements to a single value.
set(int, ArrayFieldVector<T>) - Method in class org.apache.commons.math.linear.ArrayFieldVector
Set a set of consecutive elements.
set(T) - Method in class org.apache.commons.math.linear.ArrayFieldVector
Set all elements to a single value.
set(int, ArrayRealVector) - Method in class org.apache.commons.math.linear.ArrayRealVector
Set a set of consecutive elements.
set(double) - Method in class org.apache.commons.math.linear.ArrayRealVector
Set all elements to a single value.
set(T) - Method in interface org.apache.commons.math.linear.FieldVector
Set all elements to a single value.
set(double) - Method in class org.apache.commons.math.linear.OpenMapRealVector
Set all elements to a single value.
set(double) - Method in interface org.apache.commons.math.linear.RealVector
Set all elements to a single value.
set(T) - Method in class org.apache.commons.math.linear.SparseFieldVector
Set all elements to a single value.
setAbsoluteAccuracy(double) - Method in interface org.apache.commons.math.ConvergingAlgorithm
Deprecated. Set the absolute accuracy.
setAbsoluteAccuracy(double) - Method in class org.apache.commons.math.ConvergingAlgorithmImpl
Deprecated. Set the absolute accuracy.
setAbsoluteAccuracy(double) - Method in class org.apache.commons.math.optimization.MultiStartUnivariateRealOptimizer
Set the absolute accuracy.
setActiveEuler(double, double, double) - Method in class hephysics.vec.Hep3Matrix
Defines a rotation matrix via Euler angles.
setAllign(int) - Method in class jhplot.jadraw.JaLatexText
Sets the allign property of this text object.
setAlpha(double) - Method in class jhplot.math.num.pdf.Beta
Modify the alpha parameter.
setAlpha(double) - Method in class jhplot.math.num.pdf.Gamma
Modify the alpha parameter.
setAlpha(double) - Method in interface org.apache.commons.math.distribution.BetaDistribution
Deprecated. as of 2.1
setAlpha(double) - Method in class org.apache.commons.math.distribution.BetaDistributionImpl
Deprecated. as of 2.1 (class will become immutable in 3.0)
setAlpha(double) - Method in interface org.apache.commons.math.distribution.GammaDistribution
Deprecated. as of v2.1
setAlpha(double) - Method in class org.apache.commons.math.distribution.GammaDistributionImpl
Deprecated. as of 2.1 (class will become immutable in 3.0)
setAlphaBeta(double, double) - Method in class jhplot.bsom.BsomDemo
Set alpha and beta for learning
setAlphaBeta(double, double) - Method in class jhplot.HBsom
Set initial alpha and betai parameters.
setAmp(int) - Method in class jhplot.jadraw.JaArcObject
Sets the amp property of this arc object.
setAmp(int) - Method in class jhplot.jadraw.JaLineObject
Sets the amp property of this line object.
setAmp(int) - Method in class jhplot.jadraw.JaLoopObject
Sets the amp property of this loop object.
setAngamp(int) - Method in class jhplot.jadraw.JaGlLine
Sets the angamp property of this JaGlLine.
setAnnotation(IAnnotation) - Method in class hep.aida.ref.function.AbstractDevModelFunction
 
setAnnotation(IAnnotation) - Method in class hep.aida.ref.histogram.AbstractBaseHistogram
 
setAnnotation(IAnnotation) - Method in class hep.aida.ref.histogram.DataPointSet
 
setAnnotation(IAnnotation) - Method in class hep.aida.ref.tuple.AbstractTuple
 
setAntiAlias(boolean) - Method in class jhplot.HPlot
Set antialiasing for the graphics of the current plot
setAntiAlias(boolean) - Method in class jhplot.HPlotJa
Set antialiasing for the graphics of the current plot
setAntiAliasAll(boolean) - Method in class jhplot.HPlot
Set antialiasing for the graphics of all plots
setArcPts(int, int, int, int, int, int) - Method in class jhplot.jadraw.JaArcObject
Sets the points of this arc.
setArity(int) - Method in class org.apache.commons.math.genetics.TournamentSelection
Sets the arity (number of chromosomes drawn to the tournament).
setArray(double[]) - Method in class jhplot.P0D
Set a double array.
setArray(int[]) - Method in class jhplot.P0D
Set an integer array.
setArray(Integer[]) - Method in class jhplot.P0I
Set a Integer array.
setArray(int[]) - Method in class jhplot.P0I
Set an integer array.
setArray(double[][]) - Method in class jhplot.PND
Set values from double array Old content will be lost.
setArray(int[][]) - Method in class jhplot.PNI
Set values from double array Old content will be lost.
setArrayList(ArrayList<Double>) - Method in class jhplot.P0D
Set the data in form of ArrayList
setArrayList(ArrayList<Integer>) - Method in class jhplot.P0I
Set the data in form of ArrayList
setArrayList(ArrayList<double[]>) - Method in class jhplot.PND
Set the data in form of ArrayList
setArrayList(ArrayList<int[]>) - Method in class jhplot.PNI
Set the data in form of ArrayList
setArrow(boolean) - Method in class jhplot.jadraw.JaArcObject
Sets the arrow property of this arc object.
setArrow(boolean) - Method in class jhplot.jadraw.JaLineObject
Sets the arrow property of this line object.
setArrow(boolean) - Method in class jhplot.jadraw.JaLoopObject
Sets the arrow property of this loop object.
setAsMarked(boolean) - Method in class jhplot.jadraw.JaObject
Sets this JaObject as element of a group.
setAttResizable(boolean) - Method in class jhplot.HPlot
Set canvas attributes resizable (line widths, symbols, fonts) or not.
setAttResizableAll(boolean) - Method in class jhplot.HPlot
Set canvas attributes resizable (line widths, symbols, fonts) or not.
setAutoRange(boolean) - Method in class jhplot.HChart
Set auto-range in X and Y at the same time
setAutoRange() - Method in class jhplot.HChart
Set autorange in X and Y at the same time
setAutoRange(int, boolean) - Method in class jhplot.HPlot
Sets true or false to use automatic scaling for the current plot.
setAutoRange(boolean) - Method in class jhplot.HPlot
Set autorange in X and Y at the same time
setAutoRange() - Method in class jhplot.HPlot
Set autorange in X and Y at the same time for the current plot
setAutoRange() - Method in class jhplot.HPlot2D
Set autorange for the current plot
setAutoRange(boolean) - Method in class jhplot.HPlot2D
Set autorange or not for the current plot
setAutoRange(int, boolean) - Method in class jhplot.HPlot2D
Set autorange for the current plot
setAutoRange(boolean) - Method in class jhplot.HPlot3D
Set autorange in X,Y,Z.
setAutoRange() - Method in class jhplot.HPlot3D
Set autorange in X,Y,Z at the same time for the current plot
setAutoRange(int, boolean) - Method in class jhplot.HPlotJa
Sets true or false to use automatic scaling for the current plot.
setAutoRange(boolean) - Method in class jhplot.HPlotJa
Set autorange in X and Y at the same time
setAutoRange() - Method in class jhplot.HPlotJa
Set autorange in X and Y at the same time for the current plot
setAutoRange(int, boolean) - Method in class jhplot.jadraw.JaAxes
Set autorange for a particular axis
setAutoRange() - Method in class jhplot.jadraw.JaAxes
Set auto-range on all axes
setAutoRange() - Method in class jhplot.SPlot
Rescale so that the data that is currently plotted just fits.
setAutoRange(boolean) - Method in class jhplot.SPlot
Rescale so that the data that is currently plotted just fits.
setAutoRangeAll(int, boolean) - Method in class jhplot.HPlot
Sets true or false to use automatic scaling for all plots.
setAutoRangeAll(boolean) - Method in class jhplot.HPlot
Set auto-range in X and Y at the same time for all plots
setAutoRangeAll() - Method in class jhplot.HPlot
Set autorange in X and Y at the same time for all plots
setAutoRangeAll() - Method in class jhplot.HPlot2D
Set autorange in X and Y at the same time for all plots
setAutoRangeAll(boolean) - Method in class jhplot.HPlot3D
Set to autorange all pads
setAutoRangeAll(int, boolean) - Method in class jhplot.HPlotJa
Sets true or false to use automatic scaling for all plots.
setAutoRangeAll(boolean) - Method in class jhplot.HPlotJa
Set auto-range in X and Y at the same time for all plots
setAutoRangeAll() - Method in class jhplot.HPlotJa
Set autorange in X and Y at the same time for all plots
setAutoRangeXY() - Method in class jhplot.HPlot3D
Set autorange in Y,Z at the same time for the current plot
setAvailableFonts(String[]) - Method in class jhplot.jadraw.JaKey
Sets the string array of available fonts.
setAvailableFonts(String[]) - Method in class jhplot.jadraw.JaText
Sets the string array of available fonts.
setAxes(boolean) - Method in class jhplot.HPlot3DP
Set all axes or not
setAxes(boolean, boolean, boolean) - Method in class jhplot.HPlot3DP
Show or not axes for X, Y, Z
setAxesArrow(int, int) - Method in class jhplot.jadraw.JaAxes
Set arrow type
setAxesArrows(boolean) - Method in class jhplot.HPlot3DP
Show or not small arrows on axes
setAxesColor(Color) - Method in class jhplot.HPlot
Sets the actual color of the axes of the graph.
setAxesColor(Color) - Method in class jhplot.HPlot3DP
Set Color for axes
setAxesFontColor(Color) - Method in class jhplot.HPlot3D
Get color for tic labels
setAxesFrame(int, int) - Method in class jhplot.HPlotJa
Set axes frames or pads.
setAxesRatio(double) - Method in class jhplot.HPlot
Sets the ratio between X- and Y-axes lengths.
setAxesRatioUse(boolean) - Method in class jhplot.HPlot
Sets whether or not to use a fixed ratio between X- and Y-axes lengths.
setAxis(int, boolean) - Method in class jhplot.HPlot
Sets whether an axis line will be drawn or not.
setAxis(int, Axis) - Method in class jhplot.HPlot2D
Set axis objects
setAxis(int, boolean) - Method in class jhplot.HPlot2D
Sets whether an axis line will be drawn or not.
setAxis(boolean) - Method in class jhplot.HZirkel
Show coordinate system on the canvas.
setAxisAll(boolean) - Method in class jhplot.HPlot
Sets whether all axis lines will be drawn or not.
setAxisAll(boolean) - Method in class jhplot.HPlotJa
Sets whether all axis lines will be drawn or not.
setAxisArrow(int) - Method in class jhplot.HPlot
Sets axes arrows.
setAxisArrows(boolean) - Method in class jhplot.HPlot3DP
Set or not arrows for axis
setAxisFont(Font) - Method in class jhplot.HPlot3D
Sets font for axes
setAxisLabelColor(Color) - Method in class jhplot.HPlot2D
Sets the pen color for ticks
setAxisLabelFont(Font) - Method in class jhplot.HPlot2D
Set fonts for axis Label
setAxisLabelPosition(int, int) - Method in class jhplot.HPlot2D
Position of label for axis
setAxisMirror(int, boolean) - Method in class jhplot.HPlot
Sets whether the mirror of an axis will be drawn or not.
setAxisNumberSubtics(int) - Method in class jhplot.HPlot2D
Sets the number of small sub-ticks
setAxisPenTicWidth(int) - Method in class jhplot.HPlot
Sets the pen width to draw tick axes.
setAxisPenTicWidth(int) - Method in class jhplot.HPlot2D
Sets the pen width to draw tick axes
setAxisTicHeight(int) - Method in class jhplot.HPlot2D
Sets the tick heights in NDC units
setAxisTitle(int, SGLabel) - Method in class jhplot.HPlot2D
Set label for axis
setAxisX() - Method in class jhplot.HPlot
Sets X-axis (bottom).
setAxisY() - Method in class jhplot.HPlot
Sets Y-axis (left).
setBack(boolean) - Method in class jhplot.jadraw.JaLineObject
Sets the back property of this line object.
setBack(double) - Method in class jhpro.stat.limit.ExpData
Set background number
setBackgColor(Color) - Method in class jhplot.HPlot
Sets the actual background color of the entire graph panel.
setBackgColor(Color) - Method in class jhplot.HPlot3DP
Set background for current pad
setBackgColorForAllGraph(Color) - Method in class jhplot.HPlot
Sets the background color of all graphs.
setBackgColorGraph(Color) - Method in class jhplot.HPlot
Sets the background color of the current graph.
setBackground(Color) - Method in class jhplot.HPlot2D
Set background for the plot.
setBackground(Color) - Method in class jhplot.SPlot
Set background for the plot.
setBars(boolean) - Method in class jhplot.DrawOptions
Draw a histogram using bars (default is using lines).
setBars() - Method in class jhplot.HPlot3D
Set bar type of plot
setBars(boolean) - Method in class jhplot.HPlot3D
Set bar type of plot
setBars(boolean) - Method in class jhplot.SPlot
Turn bars on or off (for bar charts).
setBars(double, double) - Method in class jhplot.SPlot
Turn bars on and set the width and offset.
setBeta(double) - Method in class jhplot.math.num.pdf.Beta
Modify the beta parameter.
setBeta(double) - Method in class jhplot.math.num.pdf.Gamma
Modify the beta parameter.
setBeta(double) - Method in interface org.apache.commons.math.distribution.BetaDistribution
Deprecated. as of 2.1
setBeta(double) - Method in class org.apache.commons.math.distribution.BetaDistributionImpl
Deprecated. as of 2.1 (class will become immutable in 3.0)
setBeta(double) - Method in interface org.apache.commons.math.distribution.GammaDistribution
Deprecated. as of v2.1
setBeta(double) - Method in class org.apache.commons.math.distribution.GammaDistributionImpl
Deprecated. as of 2.1 (class will become immutable in 3.0)
setBiasCorrected(boolean) - Method in class org.apache.commons.math.stat.descriptive.moment.SemiVariance
Sets the biasCorrected property.
setBiasCorrected(boolean) - Method in class org.apache.commons.math.stat.descriptive.moment.StandardDeviation
 
setBiasCorrected(boolean) - Method in class org.apache.commons.math.stat.descriptive.moment.Variance
 
setBinCenter(int, double) - Method in class hep.aida.ref.histogram.binner.AbstractBinner1D
This method sets new center of the bin and initializes other bin data
setBinCenter(int, double) - Method in class hep.aida.ref.histogram.binner.EfficiencyBinner1D
 
setBinContent(int[], int, double, double[], double[]) - Method in interface hep.aida.ref.dataset.binner.Binner
Set at once the content of a bin.
setBinContent(int[], int, double, double[], double[]) - Method in class hep.aida.ref.dataset.binner.DefaultBinner
Set at once the content of a bin.
setBinContent(int[], int, double, double[], double[]) - Method in class hep.aida.ref.dataset.binner.EfficiencyBinner
Set at once the content of a bin.
setBinContent(int, double, int, double, double, double, double, double, double) - Method in class hep.aida.ref.histogram.binner.AbstractBinner1D
 
setBinContent(int, int, int, double, double, double, double, double, double, double) - Method in class hep.aida.ref.histogram.binner.BasicBinner2D
 
setBinContent(int, int, int, int, double, double, double, double, double, double, double, double, double) - Method in class hep.aida.ref.histogram.binner.BasicBinner3D
 
setBinContent(int, double, int, double, double, double, double, double, double) - Method in interface hep.aida.ref.histogram.binner.Binner1D
 
setBinContent(int, int, int, double, double, double, double, double, double, double) - Method in interface hep.aida.ref.histogram.binner.Binner2D
 
setBinContent(int, int, int, int, double, double, double, double, double, double, double, double, double) - Method in interface hep.aida.ref.histogram.binner.Binner3D
 
setBinContent(int, int, double, double, double, double, double, double) - Method in class hep.aida.ref.histogram.binner.EfficiencyBinner1D
 
setBinContent(int, int, int, double, double, double, double, double, double, double) - Method in class hep.aida.ref.histogram.binner.EfficiencyBinner2D
 
setBinContent(int, int, int, int, double, double, double, double, double, double, double, double, double) - Method in class hep.aida.ref.histogram.binner.EfficiencyBinner3D
 
setBinError(BinError) - Method in class hep.aida.ref.dataset.binner.DefaultBinner
Set the BinError with which the plus and minus error on the bin are calculated.
setBinError(int, int, double) - Method in class hep.aida.ref.histogram.Histogram2D
Set the error on this bin.
setBinError(int, int, int, double) - Method in class hep.aida.ref.histogram.Histogram3D
Set the error on this bin.
setBinError(int, int, double) - Method in class jhplot.H2D
Set the error on this bin.
setBins(int) - Method in class jhplot.H1D
Sets the number of bins
setBins(int) - Method in class jhplot.HProf1D
Sets the number of bins
setBinWidth(double) - Method in class jhplot.DrawOptions
Set the bin width.
setBound(boolean) - Method in class org.apache.commons.math.estimation.EstimatedParameter
Deprecated. Set the bound flag of the parameter
setBoundingBox(double[]) - Method in class jhplot.jadraw.JaObject
Sets the bounding box of this JaObject.
setBounds(double, double) - Method in class hep.aida.ref.fitter.FitParameterSettings
 
setBounds(int, int, int, int) - Method in class jhplot.SPlot
Move and resize this component.
setBox(boolean) - Method in class jhplot.HPlot
Sets whether or not to draw the bounding box around the graph.
setBoxColor(Color) - Method in class jhplot.HPlot
Sets the color of the bounding box drawn around a graph.
setBoxColor(Color) - Method in class jhplot.HPlot3D
Set color of the box
setBoxed(boolean) - Method in class jhplot.HPlot3D
Set boxed frame
setBoxes(int) - Method in class hep.aida.ref.function.Grid
 
setBoxFillColor(Color) - Method in class jhplot.HPlot
Sets the fill color of the bounding box drawn around a graph.
setBoxOffset(double) - Method in class jhplot.HPlot
Sets the offset of the bounding box drawn around a graph.
setBrightnessExponent(int) - Method in class org.apache.commons.math.analysis.interpolation.MicrosphereInterpolator
Set the brightness exponent.
setBtot(double) - Method in class jhpro.stat.ConfidenceLevel
 
setCameraPosition(double) - Method in class jhplot.HPlot3DP
Set camera position
setCellAt(Object, int, int) - Method in class jhplot.SPsheet
This fill assumes that the object passes to it is already the correct object to set the value of the cell as.
setCellSize(int) - Method in class jhplot.HCellular
Set cell size
setCharge(double) - Method in class hephysics.particle.LParticle
Set charge
setChargeParity(float) - Method in class hephysics.particle.HEParticle
Set C charge conjugation parity
setChartArea() - Method in class jhplot.HChart
Make an Area chart.
setChartBar() - Method in class jhplot.HChart
Make a Bar chart.
setChartBar3D() - Method in class jhplot.HChart
Make a Bar chart in 3D.
setChartHistogram() - Method in class jhplot.HChart
Make a Histogram chart
setChartLine() - Method in class jhplot.HChart
Make a line chart.
setChartPie() - Method in class jhplot.HChart
Make a Pie chart.
setChartPie3D() - Method in class jhplot.HChart
Make a Pie 3D chart.
setChartXY() - Method in class jhplot.HChart
Make a X-Y chart with data points (assuming no errors).
setChiSquareTest(TTest) - Static method in class org.apache.commons.math.stat.inference.TestUtils
Deprecated. 2.2 will be removed in 3.0 - not compatible with use from multiple threads
setChiSquareTest(ChiSquareTest) - Static method in class org.apache.commons.math.stat.inference.TestUtils
Deprecated. 2.2 will be removed in 3.0 - not compatible with use from multiple threads
setChromosomes(List<Chromosome>) - Method in class org.apache.commons.math.genetics.ListPopulation
Sets the list of chromosomes.
setCodeletString(String) - Method in class hep.aida.ref.function.AbstractDevModelFunction
 
setCodeletString(String) - Method in class hep.aida.ref.function.AbstractIFunction
 
setCodeletString(String) - Method in class hep.aida.ref.function.BaseModelFunction
 
setColor(Color) - Method in class jhplot.DrawOptions
Set color for lines
setColor(Color) - Method in class jhplot.HKey
Sets the color to a specific value
setColor(Color) - Method in class jhplot.HLabel
Sets the color to a specific value
setColor(Color) - Method in class jhplot.HLabelEq
Sets the color to a specific value
setColor(Color) - Method in class jhplot.HMLabel
Sets the color to a specific value
setColor(Color) - Method in class jhplot.jadraw.JaObject
Sets the color of this object.
setColor(Color) - Method in class jhplot.shapes.HShape
Sets the color to a specific value
setColor(boolean) - Method in class jhplot.SPlot
If the argument is false, draw the plot without using color (in black and white).
setColor(Color) - Method in class jhplot.v3d.Object3d
 
setColor(int, int, int) - Method in class jhplot.v3d.Object3d
 
setColorBack(Color) - Method in class jhplot.v3d.Canvas3d
 
setColorBackgroud(Color) - Method in class jhplot.HLabelEq
Set background color
setColorBar(ColorKey) - Method in class jhplot.HPlot2D
Set color bar (key) for the current plot
setColorFill(Color) - Method in class jhplot.HPlot3D
Set color of to fill histogram bars
setColorLines(Color) - Method in class jhplot.HPlot3D
Set color of the lines to draw histogram bars
setColorMode(int) - Method in class jhplot.HPlot3D
Sets the color mode
setColors(Color[]) - Method in class jhplot.SPlot
Set the point colors.
setColumn(int, T[]) - Method in class org.apache.commons.math.linear.AbstractFieldMatrix
Sets the entries in column number column as a column matrix.
setColumn(int, double[]) - Method in class org.apache.commons.math.linear.AbstractRealMatrix
Sets the entries in column number column as a column matrix.
setColumn(int, T[]) - Method in class org.apache.commons.math.linear.BlockFieldMatrix
Sets the entries in column number column as a column matrix.
setColumn(int, double[]) - Method in class org.apache.commons.math.linear.BlockRealMatrix
Sets the entries in column number column as a column matrix.
setColumn(int, T[]) - Method in interface org.apache.commons.math.linear.FieldMatrix
Sets the entries in column number column as a column matrix.
setColumn(int, double[]) - Method in interface org.apache.commons.math.linear.RealMatrix
Sets the entries in column number column as a column matrix.
setColumnMapping(String[]) - Method in class jhplot.io.csv.bean.ColumnPositionMappingStrategy
 
setColumnMapping(Map) - Method in class jhplot.io.csv.bean.HeaderColumnNameTranslateMappingStrategy
 
setColumnMatrix(int, FieldMatrix<T>) - Method in class org.apache.commons.math.linear.AbstractFieldMatrix
Sets the entries in column number column as a column matrix.
setColumnMatrix(int, RealMatrix) - Method in class org.apache.commons.math.linear.AbstractRealMatrix
Sets the entries in column number column as a column matrix.
setColumnMatrix(int, FieldMatrix<T>) - Method in class org.apache.commons.math.linear.BlockFieldMatrix
Sets the entries in column number column as a column matrix.
setColumnMatrix(int, RealMatrix) - Method in class org.apache.commons.math.linear.BlockRealMatrix
Sets the entries in column number column as a column matrix.
setColumnMatrix(int, FieldMatrix<T>) - Method in interface org.apache.commons.math.linear.FieldMatrix
Sets the entries in column number column as a column matrix.
setColumnMatrix(int, RealMatrix) - Method in interface org.apache.commons.math.linear.RealMatrix
Sets the entries in column number column as a column matrix.
setColumnVector(int, FieldVector<T>) - Method in class org.apache.commons.math.linear.AbstractFieldMatrix
Sets the entries in column number column as a vector.
setColumnVector(int, RealVector) - Method in class org.apache.commons.math.linear.AbstractRealMatrix
Sets the entries in column number column as a vector.
setColumnVector(int, FieldVector<T>) - Method in class org.apache.commons.math.linear.BlockFieldMatrix
Sets the entries in column number column as a vector.
setColumnVector(int, RealVector) - Method in class org.apache.commons.math.linear.BlockRealMatrix
Sets the entries in column number column as a vector.
setColumnVector(int, FieldVector<T>) - Method in interface org.apache.commons.math.linear.FieldMatrix
Sets the entries in column number column as a vector.
setColumnVector(int, RealVector) - Method in interface org.apache.commons.math.linear.RealMatrix
Sets the entries in column number column as a vector.
setComplex() - Method in class jhplot.FND
Treat the function as complex.
setConnected(boolean) - Method in class hep.aida.ref.event.AIDAObservable
 
setConnected(boolean) - Method in interface hep.aida.ref.event.Connectable
 
setConnected(boolean) - Method in class hep.aida.ref.event.ConnectEvent
 
setConnected(boolean, int) - Method in class jhplot.SPlot
If the first argument is true, then by default for the specified dataset, points will be connected by a line.
setConstraint(String) - Method in class hep.aida.ref.fitter.Fitter
 
setConstraints(String[]) - Method in class hep.aida.ref.fitter.FitResult
 
setContents(double[], double[], int[], double[], double[]) - Method in class hep.aida.ref.histogram.Histogram1D
Set the content of the whole Histogram at once.
setContents(double[], double[], double[], int[], double[], double[], double[]) - Method in class hep.aida.ref.histogram.Histogram1D
 
setContents(double[][], double[][], int[][], double[][], double[][], double[][], double[][]) - Method in class hep.aida.ref.histogram.Histogram2D
Set the content of the whole Histogram at once.
setContents(double[][][], double[][][], int[][][], double[][][], double[][][], double[][][], double[][][], double[][][], double[][][]) - Method in class hep.aida.ref.histogram.Histogram3D
Set the content of the whole Histogram at once.
setContents(double[], double[], int[], double[], double[]) - Method in class hep.aida.ref.histogram.Profile1D
Set the content of the whole Histogram at once.
setContents(double[][], double[][], int[][], double[][], double[][], double[][]) - Method in class hep.aida.ref.histogram.Profile2D
 
setContents(double[], double[]) - Method in class jhplot.H1D
Sets the content of H1D histogram.
setContents(double[], double[], int[], double[], double[]) - Method in class jhplot.H1D
Set the content of the whole Histogram at once.
setContents(double[][], double[][]) - Method in class jhplot.H2D
Set content of H2D histogram
setContents(double[][], double[][], int[][], double[][], double[][], double[][], double[][]) - Method in class jhplot.H2D
Set the content of the whole Histogram at once.
setContents(double[], double[]) - Method in class jhplot.HProf1D
Sets the content of histogram.
setContents(double[], double[], int[], double[], double[]) - Method in class jhplot.HProf1D
Set the content of the whole Histogram at once.
setContents(double[][], double[][]) - Method in class jhplot.HProf2D
Set content of H2D histogram
setContour(boolean) - Method in class jhplot.HPlot
Set to a contour style
setContour() - Method in class jhplot.HPlot3D
Set contour style
setContour(boolean) - Method in class jhplot.HPlot3D
Set contour style
setContour(boolean) - Method in class jhplot.HPlotJa
Set to a contour style
setContour(boolean) - Method in class jhplot.jadraw.JaAxes
Set the contour style and parse the data.
setContourBar(boolean) - Method in class jhplot.HPlot
Show or not a bar with color levels
setContourBar(boolean) - Method in class jhplot.HPlotJa
Show a bar indicating levels on contour plot
setContourBar(boolean) - Method in class jhplot.jadraw.JaAxes
Show or not a bar with color levels
setContourBins(int, int) - Method in class jhplot.HPlot
How many bins used to slice the data in X (and Y)
setContourBins(int, int) - Method in class jhplot.HPlotJa
Set number of contour bins in X and Y
setContourBins(int, int) - Method in class jhplot.jadraw.JaAxes
How many bins used to slice the data in X (and Y)
setContourGray(boolean) - Method in class jhplot.HPlot
Color style to show contour plot.
setContourGray(boolean) - Method in class jhplot.jadraw.JaAxes
Color style to show contour plot.
setContourLevels(int) - Method in class jhplot.HPlot
How many color levels shuul be shown (10 default)
setContourLevels(int) - Method in class jhplot.HPlotJa
Number of contour levels
setContourLevels(int) - Method in class jhplot.jadraw.JaAxes
How many color levels should be shown (10 default)
setContourLines(int) - Method in class jhplot.HPlot3D
Set number of divisions for contour plots
setContractionCriteria(float) - Method in class org.apache.commons.math.util.ResizableDoubleArray
Sets the contraction criteria for this ExpandContractDoubleArray.
setConvergence(double) - Method in class org.apache.commons.math.estimation.GaussNewtonEstimator
Deprecated. Set the convergence criterion threshold.
setConvergenceChecker(RealConvergenceChecker) - Method in interface org.apache.commons.math.optimization.DifferentiableMultivariateRealOptimizer
Set the convergence checker.
setConvergenceChecker(VectorialConvergenceChecker) - Method in interface org.apache.commons.math.optimization.DifferentiableMultivariateVectorialOptimizer
Set the convergence checker.
setConvergenceChecker(RealConvergenceChecker) - Method in class org.apache.commons.math.optimization.direct.DirectSearchOptimizer
Set the convergence checker.
setConvergenceChecker(VectorialConvergenceChecker) - Method in class org.apache.commons.math.optimization.general.AbstractLeastSquaresOptimizer
Set the convergence checker.
setConvergenceChecker(RealConvergenceChecker) - Method in class org.apache.commons.math.optimization.general.AbstractScalarDifferentiableOptimizer
Set the convergence checker.
setConvergenceChecker(RealConvergenceChecker) - Method in class org.apache.commons.math.optimization.MultiStartDifferentiableMultivariateRealOptimizer
Set the convergence checker.
setConvergenceChecker(VectorialConvergenceChecker) - Method in class org.apache.commons.math.optimization.MultiStartDifferentiableMultivariateVectorialOptimizer
Set the convergence checker.
setConvergenceChecker(RealConvergenceChecker) - Method in class org.apache.commons.math.optimization.MultiStartMultivariateRealOptimizer
Set the convergence checker.
setConvergenceChecker(RealConvergenceChecker) - Method in interface org.apache.commons.math.optimization.MultivariateRealOptimizer
Set the convergence checker.
setConversionParameters(int, double, double) - Method in class hep.aida.ref.histogram.Cloud1D
Set the parameters for the ICloud conversion to an IHistogram.
setConversionParameters(int, double, double, int, double, double) - Method in class hep.aida.ref.histogram.Cloud2D
Set the parameters for the ICloud conversion to an IHistogram.
setConversionParameters(int, double, double, int, double, double, int, double, double) - Method in class hep.aida.ref.histogram.Cloud3D
Set the parameters for the ICloud conversion to an IHistogram.
setCoordinate(int, double[], double[]) - Method in class hep.aida.ref.histogram.DataPointSet
 
setCoordinate(int, double[], double[], double[]) - Method in class hep.aida.ref.histogram.DataPointSet
 
setCorrelationObject(Object) - Method in class hep.aida.ref.fitter.fitmethod.AbstractFitMethod
 
setCostRelativeTolerance(double) - Method in class org.apache.commons.math.estimation.LevenbergMarquardtEstimator
Deprecated. Set the desired relative error in the sum of squares.
setCostRelativeTolerance(double) - Method in class org.apache.commons.math.optimization.general.LevenbergMarquardtOptimizer
Set the desired relative error in the sum of squares.
setCovMatrixElement(int, int, double) - Method in class hep.aida.ref.fitter.FitResult
 
setCurDir(String) - Static method in class jhplot.HPlotJa
Sets the current working directory.
setDash(float) - Method in class jhplot.jadraw.JaArcObject
Sets the dash property of this arc object.
setDash(float) - Method in class jhplot.jadraw.JaLineObject
Sets the dash property of this line object.
setDash(float) - Method in class jhplot.jadraw.JaLoopObject
Sets the dash property of this loop object.
setDashed(double) - Method in class jhplot.shapes.HShape
Set dashed line
setData(P1D) - Method in class jhplot.HBsom
Load data to BSOM
setData(double[][], double[][]) - Method in class jhplot.HNeuralNet
Construct a data set from an input and idea array.
setData(double[][]) - Method in class jhplot.HNeuralNet
Construct a data set from an input
setData(PND, PND) - Method in class jhplot.HNeuralNet
Set data for training.
setData(PND) - Method in class jhplot.HNeuralNet
Set data
setData() - Method in class jhplot.HPlot2D
 
setData(Vector<DataArray>) - Method in class jhplot.jadraw.JaAxes
Set data in form of vector
setData(double[]) - Method in class org.apache.commons.math.stat.descriptive.AbstractUnivariateStatistic
Set the data array.
setData(double[], int, int) - Method in class org.apache.commons.math.stat.descriptive.AbstractUnivariateStatistic
Set the data array.
setData(double[]) - Method in class org.apache.commons.math.stat.descriptive.rank.Percentile
Set the data array.
setData(double[], int, int) - Method in class org.apache.commons.math.stat.descriptive.rank.Percentile
Set the data array.
setDataArray(DataArray) - Method in class jhplot.P1D
Set data in a form of DataArray
setDataArray(DataArray2D) - Method in class jhplot.P2D
Set data in a form of DataArray
setDataArray(DataArray3D) - Method in class jhplot.P3D
Set data in a form of DataArray
setDataDescription(String) - Method in class hep.aida.ref.fitter.FitResult
 
setDataPers(DataArray) - Method in class jhplot.HPlot
Sets the data in the form DataArray data
setDefault() - Method in class jhplot.GHMargin
Set the default location
setDefault(Object) - Method in class jhplot.GHMargin
Set the default location
setDefault() - Method in class jhplot.HCellular
Set default parameters
setDefaultPosition(boolean) - Method in class jhplot.HKey
Is this key should be set at a default position?
setDegreesOfFreedom(double) - Method in class jhplot.math.num.pdf.ChiSquared
Modify the degrees of freedom.
setDegreesOfFreedom(double) - Method in class jhplot.math.num.pdf.TDistribution
Modify the degrees of freedom.
setDegreesOfFreedom(double) - Method in interface org.apache.commons.math.distribution.ChiSquaredDistribution
Deprecated. as of v2.1
setDegreesOfFreedom(double) - Method in class org.apache.commons.math.distribution.ChiSquaredDistributionImpl
Deprecated. as of 2.1 (class will become immutable in 3.0)
setDegreesOfFreedom(double) - Method in interface org.apache.commons.math.distribution.TDistribution
Deprecated. as of v2.1
setDegreesOfFreedom(double) - Method in class org.apache.commons.math.distribution.TDistributionImpl
Deprecated. as of 2.1 (class will become immutable in 3.0)
setDelta(double) - Method in class jhplot.bsom.Bsom
 
setDelta(double) - Method in class jhplot.HBsom
Set calculation precision.
setDenominatorDegreesOfFreedom(double) - Method in class jhplot.math.num.pdf.FDistribution
Modify the denominator degrees of freedom.
setDenominatorDegreesOfFreedom(double) - Method in interface org.apache.commons.math.distribution.FDistribution
Deprecated. as of v2.1
setDenominatorDegreesOfFreedom(double) - Method in class org.apache.commons.math.distribution.FDistributionImpl
Deprecated. as of 2.1 (class will become immutable in 3.0)
setDenominatorFormat(NumberFormat) - Method in class org.apache.commons.math.fraction.AbstractFormat
Modify the denominator format.
setDensity() - Method in class jhplot.HPlot3D
Set density type of plot
setDensity(boolean) - Method in class jhplot.HPlot3D
Set density plot
setDerivative(Function) - Method in class jhplot.math.num.root.NewtonRootFinder
Modify the derivative of the target function.
setDescription(String[]) - Method in class hep.aida.ref.dataset.DataStatistics
Set the description for all the coordinates.
setDescription(int, String) - Method in class hep.aida.ref.dataset.DataStatistics
Set the description for a given coordinate
setDetltaTime(int) - Method in class jhplot.HCellular
Set set delta time
setDimension(int) - Method in class hep.aida.ref.function.AbstractDevModelFunction
 
setDimension(int) - Method in class jhplot.P1D
Set the dimension.
setDimention(int) - Method in class jminhep.cluster.DataHolder
Set the dimension of the data
setDisplayGrids(boolean) - Method in class jhplot.HPlot3D
Display grid
setDisplayXY(boolean) - Method in class jhplot.HPlot3D
Display or not X and Y
setDisplayZ(boolean) - Method in class jhplot.HPlot3D
Display or not title for Z
setDistance(double) - Method in class jhplot.HPlot3D
Set distance to the object
setDistribution(ChiSquaredDistribution) - Method in class org.apache.commons.math.stat.inference.ChiSquareTestImpl
Modify the distribution used to compute inference statistics.
setDistribution(TDistribution) - Method in class org.apache.commons.math.stat.inference.TTestImpl
Deprecated. in 2.2 (to be removed in 3.0).
setDistribution(TDistribution) - Method in class org.apache.commons.math.stat.regression.SimpleRegression
Deprecated. in 2.2 (to be removed in 3.0).
setDivisions(int, int) - Method in class jhplot.FPR
Set number of divisions for parameters.
setDivisions(int) - Method in class jhplot.HPlot3D
Set number of divisions for surface plots
setDLSeparation(float) - Method in class jhplot.jadraw.JaArcObject
Sets the double line separation property.
setDLSeparation(float) - Method in class jhplot.jadraw.JaLineObject
Sets the double line property.
setDLSeparation(float) - Method in class jhplot.jadraw.JaLoopObject
Sets the double line property.
setDotted(double) - Method in class jhplot.shapes.HShape
Set dotted line
setDoubleLine(boolean) - Method in class jhplot.jadraw.JaArcObject
Sets the double line property.
setDoubleLine(boolean) - Method in class jhplot.jadraw.JaLineObject
Sets the double line property.
setDoubleLine(boolean) - Method in class jhplot.jadraw.JaLoopObject
Sets the double line property.
setDrawLine(boolean) - Method in class jhplot.DrawOptions
Draw lines connecting points or not.
setDrawLineKey(boolean) - Method in class jhplot.DrawOptions
Draw histogram key with line or not
setDrawOption(LinePars) - Method in class jhplot.DrawOptions
Sets drawing attributes
setDrawSymbol(boolean) - Method in class jhplot.DrawOptions
Draw or not symbols
setDtot(int) - Method in class jhpro.stat.ConfidenceLevel
 
setE(double) - Method in class hephysics.vec.HepLorentzVector
Set energy
setEditable(int) - Method in class jhplot.SPlot
Specify which dataset is editable.
setElement(int, int, double) - Method in class hephysics.vec.Hep3Matrix
Sets the (row, column) element
setElement(int, double) - Method in interface org.apache.commons.math.util.DoubleArray
Sets the element at the specified index.
setElement(int, double) - Method in class org.apache.commons.math.util.ResizableDoubleArray
Sets the element at the specified index.
setElevationAngle(double) - Method in class jhplot.HPlot3D
Set the elevation angle
setElitismRate(double) - Method in class org.apache.commons.math.genetics.ElitisticListPopulation
Sets the elitism rate, i.e.
setEnd(boolean) - Method in class jhplot.jadraw.JaArcObject
Sets the end property of this line object.
setEnd(boolean) - Method in class jhplot.jadraw.JaLineObject
Sets the end property of this line object.
setEndLength(double) - Method in class jhplot.shapes.Arrow
Set lenght of the ends
setEndWidth(double) - Method in class jhplot.shapes.Arrow
Set width of the ends
setEngine(String) - Method in class hep.aida.ref.fitter.Fitter
 
setEngineName(String) - Method in class hep.aida.ref.fitter.FitResult
 
setEntry(int, int, T) - Method in class org.apache.commons.math.linear.AbstractFieldMatrix
Set the entry in the specified row and column.
setEntry(int, int, double) - Method in class org.apache.commons.math.linear.AbstractRealMatrix
Set the entry in the specified row and column.
setEntry(int, int, T) - Method in class org.apache.commons.math.linear.Array2DRowFieldMatrix
Set the entry in the specified row and column.
setEntry(int, int, double) - Method in class org.apache.commons.math.linear.Array2DRowRealMatrix
Set the entry in the specified row and column.
setEntry(int, T) - Method in class org.apache.commons.math.linear.ArrayFieldVector
Set a single element.
setEntry(int, double) - Method in class org.apache.commons.math.linear.ArrayRealVector
Set a single element.
setEntry(int, int, T) - Method in class org.apache.commons.math.linear.BlockFieldMatrix
Set the entry in the specified row and column.
setEntry(int, int, double) - Method in class org.apache.commons.math.linear.BlockRealMatrix
Set the entry in the specified row and column.
setEntry(int, int, T) - Method in interface org.apache.commons.math.linear.FieldMatrix
Set the entry in the specified row and column.
setEntry(int, T) - Method in interface org.apache.commons.math.linear.FieldVector
Set a single element.
setEntry(int, int, double) - Method in class org.apache.commons.math.linear.OpenMapRealMatrix
Set the entry in the specified row and column.
setEntry(int, double) - Method in class org.apache.commons.math.linear.OpenMapRealVector
Set a single element.
setEntry(int, int, double) - Method in interface org.apache.commons.math.linear.RealMatrix
Set the entry in the specified row and column.
setEntry(int, int, double) - Method in class org.apache.commons.math.linear.RealMatrixImpl
Deprecated. Set the entry in the specified row and column.
setEntry(int, double) - Method in interface org.apache.commons.math.linear.RealVector
Set a single element.
setEntry(int, int, T) - Method in class org.apache.commons.math.linear.SparseFieldMatrix
Set the entry in the specified row and column.
setEntry(int, T) - Method in class org.apache.commons.math.linear.SparseFieldVector
Set a single element.
setErr(boolean) - Method in class jhplot.DrawOptions
Set or not the 1st level errors on X and Y
setErr(double) - Method in class jhplot.math.ValueErr
Set error
setErrAll(boolean) - Method in class jhplot.DrawOptions
Show or not all errors (1st and 2nd level).
setErrAllToZero(String, int) - Method in class jhplot.P1D
Set all (1st and 2nd) level errors to zero.
setErrBack(double) - Method in class jhpro.stat.limit.ExpData
Set error on background
setErrColor(Color) - Method in class jhplot.DrawOptions
Set color for 1st level errors for X and Y
setErrColor(Color, double) - Method in class jhplot.DrawOptions
Set color for 1st level errors for X and Y
setErrColorX(Color) - Method in class jhplot.DrawOptions
Set color for 1st level errors in X
setErrColorY(Color) - Method in class jhplot.DrawOptions
Set color for 1st level errors in Y
setErrFill(boolean) - Method in class jhplot.DrawOptions
Fill area between lower and upper 1st-level errors
setErrFillColor(Color) - Method in class jhplot.DrawOptions
Fill color area between lower and upper 1st-level errors.
setErrFillColor(Color, double) - Method in class jhplot.DrawOptions
Fill color area between lower and upper 1st-level errors and set transparency level
setError(int, double) - Method in class jhpro.stat.DataKeeper
Set a error at index
setErrorMinus(double) - Method in class hep.aida.ref.histogram.Measurement
 
setErrorPlus(double) - Method in class hep.aida.ref.histogram.Measurement
 
setErrors(double[]) - Method in class jhplot.H1D
Sets errors of H1D histogram (for heights).
setErrors(double[]) - Method in class jhpro.stat.DataKeeper
 
setErrSqrt(int) - Method in class jhplot.P1D
Set 1st level error to sqrt of X or Y values.
setErrSys(boolean) - Method in class jhplot.DrawOptions
Show or not the 2nd level errors for X and Y values
setErrSysFill(boolean) - Method in class jhplot.DrawOptions
Fill area between lower and upper 2st-level errors
setErrSysFillColor(Color) - Method in class jhplot.DrawOptions
Fill color area between lower and upper 1st-level errors
setErrSysFillColor(Color, double) - Method in class jhplot.DrawOptions
Fill color area between lower and upper 2nd-level errors and set transparency level
setErrSysToZero(int) - Method in class jhplot.P1D
Set 2nd level errors to zero.
setErrSysX(boolean) - Method in class jhplot.DrawOptions
Set or not the 2nd level errors in X
setErrSysY(boolean) - Method in class jhplot.DrawOptions
Show or not the 2nd level errors for Y values
setErrTicSize(double) - Method in class jhplot.DrawOptions
Set the size of small tics shown at the end of error bars.
setErrToZero(int) - Method in class jhplot.P1D
Set 1st level errors to zero.
setErrX(boolean) - Method in class jhplot.DrawOptions
Set or not the 1st level errors in X
setErrY(boolean) - Method in class jhplot.DrawOptions
Show or not the 1st level errors for Y values.
setEstimate(double) - Method in class org.apache.commons.math.estimation.EstimatedParameter
Deprecated. Set a new estimated value for the parameter.
setExpansionFactor(float) - Method in class org.apache.commons.math.util.ResizableDoubleArray
Sets the expansionFactor.
setExpansionMode(int) - Method in class org.apache.commons.math.util.ResizableDoubleArray
Sets the expansionMode.
setExpForm(int) - Method in class jhplot.jadraw.JaAxes
Set exponential form.
setExponent(double) - Method in interface org.apache.commons.math.distribution.ZipfDistribution
Deprecated. as of v2.1
setExponent(double) - Method in class org.apache.commons.math.distribution.ZipfDistributionImpl
Deprecated. as of 2.1 (class will become immutable in 3.0)
setEyePosition(double, double, double) - Method in class jhplot.HPlot3DP
Set position oy eye
setFill(boolean) - Method in class jhplot.DrawOptions
Fill or not histogram or function.
setFill(boolean) - Method in class jhplot.HPlot3D
Set fill color or not for histogram bars
setFill(boolean) - Method in class jhplot.shapes.HShape
Fill a primitive
setFillable(boolean) - Method in class hep.aida.ref.Annotation
If annotation is fillable, can modified.
setFillable(boolean) - Method in class hep.aida.ref.ManagedObject
If ManagedObject is fillable, it can modified.
setFillColor(Color) - Method in class jhplot.DrawOptions
Fill color of a drawing object.
setFillColor(Color) - Method in class jhplot.FPR
Set color for fill
setFillColor(Color) - Method in class jhplot.jadraw.JaFillObject
Sets the fill color of this fillColor object.
setFillColor(Color) - Method in class jhplot.jadraw.JaVertexT2
Sets the fill color of this fillColor object.
setFillColorTransparency(double) - Method in class jhplot.DrawOptions
Set color transparency used to fill an object.
setFilled(boolean) - Method in class jhplot.FPR
Set filled area or not
setFilled(boolean) - Method in class jhplot.jadraw.JaBlob
Fill or not the object
setFilled(boolean) - Method in class jhplot.jadraw.JaBox
Fill or not the object
setFitMethod(String) - Method in class hep.aida.ref.fitter.Fitter
 
setFitMethodName(String) - Method in class hep.aida.ref.fitter.FitResult
 
setFitParameterSettings(String, IFitParameterSettings) - Method in class hep.aida.ref.fitter.FitResult
 
setFitStatus(int) - Method in class hep.aida.ref.fitter.FitResult
 
setFittedFunction(IFunction) - Method in class hep.aida.ref.fitter.FitResult
 
setFixed(boolean) - Method in class hep.aida.ref.fitter.FitParameterSettings
 
setFlip(boolean) - Method in class jhplot.jadraw.JaArcObject
Sets the flip property of this arc object.
setFlip(boolean) - Method in class jhplot.jadraw.JaLineObject
Sets the flip property of this line object.
setFlip(boolean) - Method in class jhplot.jadraw.JaLoopObject
Sets the flip property of this loop object.
setFlush(int) - Method in class jhplot.io.HFile
Set after how many events data will be flushed.
setFog(boolean) - Method in class jhplot.HPlot3DP
Set fog for objects
setFolderIsWatched(String, boolean) - Method in class hep.aida.ref.tree.Tree
This message is sent by a listener to indicate interest in a particular path within the tree.
setFont(Font) - Method in class jhplot.HKey
Sets the font to a specific value
setFont(Font) - Method in class jhplot.HLabel
Sets the font to a specific value
setFont(Font) - Method in class jhplot.HMLabel
Sets the font to a specific value
setFont(Font) - Method in class jhplot.jadraw.JaKey
Sets the textFont property of this text object.
setFont(Font) - Method in class jhplot.jadraw.JaText
Sets the textFont property of this text object.
setFont(Font) - Method in class jhplot.jadraw.JaTextBox
Sets the textFont property of this text object.
setFont(Font) - Method in class jhplot.shapes.Text
Set the font
setFontAxisX(Font, Color) - Method in class jhplot.HChart
Set font and color for X-axis (for X-Y plots)
setFontAxisY(Font, Color) - Method in class jhplot.HChart
Set font and color for Y-axis (for X-Y plots)
setFontLegent(Font) - Method in class jhplot.HChart
Set font for legent title
setFontSize(int) - Method in class jhplot.HLabelEq
Sets the font to a specific value
setFontTitle(Font) - Method in class jhplot.HChart
Set font for legent title
setFontValue(Font) - Method in class jhplot.HPlot3DP
Set Font for axis numbers
setForeground(Color) - Method in class jhplot.SPlot
Set the foreground color.
setFov(double) - Method in class jhplot.HPlot3DP
Set field of vision
setFrameColor(Color) - Method in class jhplot.HPlot3D
Set color of the frame
setFreq(float) - Method in class jhplot.jadraw.JaArcObject
Sets the freq property of this arc object.
setFreq(float) - Method in class jhplot.jadraw.JaLineObject
Sets the freq property of this line object.
setFreq(float) - Method in class jhplot.jadraw.JaLoopObject
Sets the freq property of this loop object.
setFunc(IFunction) - Method in class jhplot.HFitter
Set fit functions
setFunc(String) - Method in class jhplot.HFitter
Set fit functions from predefined string.
setFunc(String, int, String, String) - Method in class jhplot.HFitter
Set functions from a script.
setFunction(Function) - Method in class jhplot.math.num.integration.AdaptiveIntegrator
Modify the target function.
setFunction(Function) - Method in class jhplot.math.num.integration.RombergIntegrator
Modify the target function.
setFunction(Function) - Method in class jhplot.math.num.integration.SimpsonsIntegrator
Modify the target function.
setFunction(Function) - Method in class jhplot.math.num.integration.TrapezoidalIntegrator
Modify the target function.
setFunction(Function) - Method in class jhplot.math.num.root.BisectionRootFinder
Modify the target function.
setFunction(Function) - Method in class jhplot.math.num.root.Bracket
Modify the target function.
setFunction(Function) - Method in class jhplot.math.num.root.BrentRootFinder
Modify the target function.
setFunction(Function) - Method in class jhplot.math.num.root.FalsePositionRootFinder
Modify the target function.
setFunction(Function) - Method in class jhplot.math.num.root.NewtonRootFinder
Modify the target function.
setFunction(Function) - Method in class jhplot.math.num.root.SecantRootFinder
Modify the target function.
setFunctionValueAccuracy(double) - Method in interface org.apache.commons.math.analysis.solvers.UnivariateRealSolver
Set the function value accuracy.
setFunctionValueAccuracy(double) - Method in class org.apache.commons.math.analysis.solvers.UnivariateRealSolverImpl
Deprecated. Set the function value accuracy.
setGamma(GammaDistribution) - Method in class org.apache.commons.math.distribution.ChiSquaredDistributionImpl
Deprecated. as of 2.1 (class will become immutable in 3.0)
setGBackground(Color) - Method in class jhplot.GHMargin
Set the background of this panel
setGColor(Color) - Method in class jhplot.GHMargin
Set the color on this panel.
setGeoMeanImpl(StorelessUnivariateStatistic[]) - Method in class org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics
Sets the implementation for the geometric mean.
setGeoMeanImpl(StorelessUnivariateStatistic) - Method in class org.apache.commons.math.stat.descriptive.SummaryStatistics
Sets the implementation for the geometric mean.
setGeoMeanImpl(StorelessUnivariateStatistic[]) - Method in class org.apache.commons.math.stat.descriptive.SynchronizedMultivariateSummaryStatistics
Sets the implementation for the geometric mean.
setGeoMeanImpl(StorelessUnivariateStatistic) - Method in class org.apache.commons.math.stat.descriptive.SynchronizedSummaryStatistics
Sets the implementation for the geometric mean.
setGeometricMeanImpl(UnivariateStatistic) - Method in class org.apache.commons.math.stat.descriptive.DescriptiveStatistics
Sets the implementation for the gemoetric mean.
setGFont(Font) - Method in class jhplot.GHMargin
Set the font.
setGraph() - Method in class jhplot.HPlot
Set the graph from JPLot
setGraphSettings(GraphSettings) - Method in class jhplot.HPlot
Set a new graph settings for the current plot
setGraphStyle(int) - Method in class jhplot.DrawOptions
Set the style of the graph
setGRecBackground(Color) - Method in class jhplot.GHMargin
Set the background for rectangle with the text
setGrid(int, boolean) - Method in class jhplot.HPlot
Sets whether or not using grid lines.
setGrid(boolean) - Method in class jhplot.HPlot
Sets whether or not using grid lines.
setGrid(boolean) - Method in class jhplot.SPlot
Control whether the grid is drawn.
setGridAll(int, boolean) - Method in class jhplot.HPlot
Sets or not the grid lines for all plots on the same canvas
setGridAll(int, boolean) - Method in class jhplot.HPlotJa
Sets or not the grid lines for all plots on the same canvas
setGridColor(Color) - Method in class jhplot.jadraw.JaAxes
Set grid color
setGridColorAll(Color) - Method in class jhplot.HPlot
Sets color of the grid lines for all plots on the same canvas
setGridFront(boolean) - Method in class jhplot.jadraw.JaAxes
Set grid to be drown in fron of all graphic objects
setGridToFront(boolean) - Method in class jhplot.HPlot
Setting the flag to true, this will draw the grid after drawing all the lines and point stuff, hence on the foreground.
setGTitle(String, Font, Color) - Method in class jhplot.GHPanel
Sets the global title
setGTitle(String, Font) - Method in class jhplot.GHPanel
Sets the global title using black color.
setGTitle(String) - Method in class jhplot.GHPanel
Set the global title with default attributes.
setGTitle(String, double) - Method in class jhplot.GHPanel
Set the global title with default attributes.
setGTitle(String, Color) - Method in class jhplot.GHPanel
Set the global title.
setGTitle(String) - Method in class jhplot.HPlot2D
Set global title for this plot.
setGTitle(JaText) - Method in class jhplot.HPlotJa
Set the global title
setGTitle(String, Font, Color) - Method in class jhplot.HPlotJa
Sets the global title
setGTitle(String, Font) - Method in class jhplot.HPlotJa
Sets the global title using black color.
setGTitle(String) - Method in class jhplot.HPlotJa
Set the global title with default attributes.
setGTitle(String, Color) - Method in class jhplot.HPlotJa
Set the global title with default attributes.
setGTitle(String) - Method in class jhplot.SPlot
Set global title for this plot.
setHeights(double[]) - Method in class jhplot.H1D
Sets the content of H1D histogram (heights).
setHistogram(IHistogram1D) - Method in class hep.aida.ref.histogram.Cloud1D
Set the Histogram representation of the Cloud.
setHistogram(IHistogram2D) - Method in class hep.aida.ref.histogram.Cloud2D
Set the Histogram representation of the Cloud.
setHistogram(IHistogram3D) - Method in class hep.aida.ref.histogram.Cloud3D
Set the Histogram representation of the Cloud.
setIEEEFlags(int) - Method in class org.apache.commons.math.dfp.DfpField
Sets the IEEE 854 status flags.
setIEEEFlagsBits(int) - Method in class org.apache.commons.math.dfp.DfpField
Sets some bits in the IEEE 854 status flags, without changing the already set bits.
setIgnored(boolean) - Method in class org.apache.commons.math.estimation.WeightedMeasurement
Deprecated. Set the ignore flag to the specified value Setting the ignore flag to true allow to reject wrong measurements, which sometimes can be detected only rather late.
setImaginaryCharacter(String) - Method in class org.apache.commons.math.complex.ComplexFormat
Modify the imaginaryCharacter.
setImaginaryFormat(NumberFormat) - Method in class org.apache.commons.math.complex.ComplexFormat
Modify the imaginaryFormat.
setImpulses(boolean, int) - Method in class jhplot.SPlot
If the first argument is true, then a line will be drawn from any plotted point in the specified dataset down to the x axis.
setIndex(int) - Method in class org.apache.commons.math.linear.RealVector.Entry
Set the index of the entry.
setInflip(boolean) - Method in class jhplot.jadraw.JaLineObject
Sets the inflip property of this line object.
setInitFile(String) - Method in class jhplot.HCellular
Set initialization file
setInitialStep(double) - Method in class org.apache.commons.math.optimization.general.NonLinearConjugateGradientOptimizer
Set the initial step used to bracket the optimum in line search.
setInitialStepBoundFactor(double) - Method in class org.apache.commons.math.estimation.LevenbergMarquardtEstimator
Deprecated. Set the positive input variable used in determining the initial step bound.
setInitialStepBoundFactor(double) - Method in class org.apache.commons.math.optimization.general.LevenbergMarquardtOptimizer
Set the positive input variable used in determining the initial step bound.
setInitialStepSize(double) - Method in class org.apache.commons.math.ode.nonstiff.AdaptiveStepsizeIntegrator
Set the initial step size.
setInitString(String) - Method in class jhplot.HCellular
Set initialization string for the rule
setInnerColor(Color) - Method in class jhplot.HPlot
Sets the color used to fill the inner triangles.
setInterpolatedTime(double) - Method in class org.apache.commons.math.ode.ContinuousOutputModel
Set the time of the interpolated point.
setInterpolatedTime(double) - Method in interface org.apache.commons.math.ode.jacobians.StepInterpolatorWithJacobians
Deprecated. Set the time of the interpolated point.
setInterpolatedTime(double) - Method in class org.apache.commons.math.ode.sampling.AbstractStepInterpolator
Set the time of the interpolated point.
setInterpolatedTime(double) - Method in interface org.apache.commons.math.ode.sampling.StepInterpolator
Set the time of the interpolated point.
setInterpolationControl(boolean, int) - Method in class org.apache.commons.math.ode.nonstiff.GraggBulirschStoerIntegrator
Set the interpolation order control parameter.
setIsospin(float) - Method in class hephysics.particle.HEParticle
Set isospin
setIsResizing(boolean) - Method in class jhplot.jadraw.JaArcObject
Sets the resizing property of this arc.
setIsValid(boolean) - Method in class hep.aida.ref.fitter.FitResult
 
setKey(int, float, Color) - Method in class jhplot.HKey
Sets a key
setKey(int) - Method in class jhplot.jadraw.JaKey
Set the key symbol (1-12, 20,21,22)
setKeyColor(Color) - Method in class jhplot.jadraw.JaKey
Set the key color
setKeySpace(float) - Method in class jhplot.HKey
Sets a space between the key and the text describing the key
setKeySpace(double) - Method in class jhplot.jadraw.JaKey
Set a space between a key and a text
setKeyTextSpace(double) - Method in class jhplot.HPlotJa
Set space between the key symbol and the text in a legend.
setKurtosisImpl(UnivariateStatistic) - Method in class org.apache.commons.math.stat.descriptive.DescriptiveStatistics
Sets the implementation for the kurtosis.
setLabel(int, double, double, String, Font, Color, String) - Method in class jhplot.HPlotJa
Set label (or update it) for the current pad selected with the cd(i1,i2) method.
setLabel(int, double, double, String, Font, Color) - Method in class jhplot.HPlotJa
Set label (or update it) for the current pad selected with the cd(i1,i2) method.
setLabel(int, double, double, String, Font) - Method in class jhplot.HPlotJa
Set label (or update it) for the current pad selected with the cd(i1,i2) method.
setLabel(int, double, double, String) - Method in class jhplot.HPlotJa
Set label (or update it) for the current pad selected with the cd(i1,i2) method.
setLabelColor(Color) - Method in class jhplot.HPlot3D
Set color of the label
setLabelColor(Color) - Method in class jhplot.HPlot3DP
Set Color for the labels
setLabelColor(Color) - Method in class jhplot.jadraw.JaAxes
Set the color for labels indicating the ticks
setLabelFont(Font) - Method in class jhplot.HPlot3D
Set Font for the labels
setLabelFont(Font) - Method in class jhplot.HPlot3DP
Set Font for the labels
setLabelFont(Font) - Method in class jhplot.jadraw.JaAxes
Set label fonts
setLabelFont(String) - Method in class jhplot.SPlot
Set the label font, which is used for axis labels and legend labels.
setLabelFontColor(Color) - Method in class jhplot.HPlot3D
Set color for labels
setLabelOffsetX(double) - Method in class jhplot.HPlot3D
Set label offset on X
setLabelOffsetY(double) - Method in class jhplot.HPlot3D
Set label offset on Y
setLabelOffsetZ(double) - Method in class jhplot.HPlot3D
Set label offset on Z
setLabelRotation(double) - Method in class jhplot.jadraw.JaAxes
Set rotation for labels
setLabelShift(int, double, double) - Method in class jhplot.HPlotJa
Shift position of a label with respect to the axis by about defined in NDC (0-1).
setLabelSpace(int, double) - Method in class jhplot.jadraw.JaAxes
Set a space between axis and labels for ticks
setLabelX(String, int, int) - Method in class jhplot.HPlotJa
Sets a label for X at the default location
setLabelY(String, int, int) - Method in class jhplot.HPlotJa
Set label at the default position
setLatexFS(int) - Method in class jhplot.jadraw.JaLatexText
Sets the latexfs property of this text object.
setLatexLabel(String) - Method in class jhplot.jadraw.JaLatexText
Sets the Label of this LatexText to str.
setLegend(boolean) - Method in class jhplot.DrawOptions
Sets whether or not this line style should draw the name in the legend of the graph.
setLegend(boolean) - Method in class jhplot.HPlot
Sets whether or not to draw the legend.
setLegendAll(boolean) - Method in class jhplot.HPlotJa
Do we need to show legends?
setLegendFont(Font) - Method in class jhplot.HPlot
Sets the actual font of the legend.
setLegendFont(String) - Method in class jhplot.HPlot
Set the label font, which is used for axis labels and legend labels.
setLegendFont(Font) - Method in class jhplot.HPlotJa
Sets the actual font of the legend.
setLegendFont(String) - Method in class jhplot.HPlotJa
Set the label font, which is used for axis labels and legend labels.
setLegendPos(int, double) - Method in class jhplot.HPlot
Sets the x or y coordinates (defined relative to the data ranges on the axes) of the legend.
setLegendPos(double, double, String) - Method in class jhplot.HPlot
Sets the x and y coordinates of the legend.
setLegendPosUse(boolean) - Method in class jhplot.HPlot
Sets whether or not to set the legend position in X,Y coordinates as defined by the graph.
setLegends(ArrayList<JaKey>) - Method in class jhplot.HPlotJa
Set new list of legends (old legends are removed).
setLegendSpac(double) - Method in class jhplot.HPlot
Sets the vertical spacing, between each line of the legend.
setLengthFromBeginning(double[], int) - Static method in class jhplot.math.ArrayMathUtils
Sets an array to the specified length scraping or padding the end if necessary.
setLengthFromBeginning(int[], int) - Static method in class jhplot.math.ArrayMathUtils
Sets an array to the specified length scraping or padding the end if necessary.
setLengthFromEnd(double[], int) - Static method in class jhplot.math.ArrayMathUtils
Sets an array to the specified length scraping or padding the beginning if necessary.
setLengthFromEnd(int[], int) - Static method in class jhplot.math.ArrayMathUtils
Sets an array to the specified length scraping or padding the beginning if necessary.
setLimitGuess(double) - Method in class jhpro.stat.limit.StatConfidence
Set new limit
setLineColor(Color) - Method in class jhplot.FPR
Set color for lines
setLinePars(LinePars) - Method in class jhplot.P1D
Sets LinePars class for graphical attributes
setLineSearchSolver(UnivariateRealSolver) - Method in class org.apache.commons.math.optimization.general.NonLinearConjugateGradientOptimizer
Set the solver to use during line search.
setLineWidth(int) - Method in class jhplot.HKey
Sets key line width
setLocation(double, double) - Method in class jhplot.HKey
Sets the location of the label in data coordinates.
setLocation(double, double, String) - Method in class jhplot.HKey
Sets the location of the label in data coordinates.
setLocation(double, double) - Method in class jhplot.HLabel
Sets the location of the label in the NDC coordinates.
setLocation(double, double, String) - Method in class jhplot.HLabel
Sets the location of the label in data coordinates.
setLocation(double, double) - Method in class jhplot.HLabelEq
Sets the location of the label in data coordinates.
setLocation(double, double, String) - Method in class jhplot.HLabelEq
Sets the location of the label in data coordinates.
setLocation(double, double, String) - Method in class jhplot.jadraw.JaObject
Set location of the object in the NDC or USER coordinates.
setLocation(int, int) - Method in class jhplot.jadraw.JaObject
Sets the x and y coordinate of this object.
setLocation(double) - Method in class jhplot.math.num.pdf.Weibull
Modify the location parameter.
setLocationAtCenter(JaText) - Method in class jhplot.HPlotJa
Sets the location of a text object at the center of the canvas
setLocationXY(int, int, int, int) - Method in class jhplot.jadraw.JaBox
Set box location in pixel coordinates
setLocationXY(int, int, int, int) - Method in class jhplot.jadraw.JaLine
Set location in pixel coordinates
setLock(Object) - Method in class hep.aida.ref.tree.Tree
 
setLogScale(int, boolean) - Method in class jhplot.HPlot
Sets true or false to plot on a log scale.
setLogScale(int, boolean) - Method in class jhplot.HPlotJa
Sets true or false to plot on a log scale.
setLogScale(int, boolean) - Method in class jhplot.jadraw.JaAxes
Sets true or false to plot on a log scale.
setLower(double) - Method in class jhplot.math.num.pdf.Uniform
Modify the lower bound parameter.
setLowerBound(double) - Method in class hep.aida.ref.fitter.FitParameterSettings
 
setLowerBound(double) - Method in class hep.aida.ref.function.Range
Set the lower bound.
setLowerEdge(double) - Method in class hep.aida.ref.histogram.Cloud1D
Set the Cloud's lower edge
setLowerEdgeX(double) - Method in class hep.aida.ref.histogram.Cloud2D
Set the Cloud's x lower edge
setLowerEdgeX(double) - Method in class hep.aida.ref.histogram.Cloud3D
Set the Cloud's x lower edge
setLowerEdgeY(double) - Method in class hep.aida.ref.histogram.Cloud2D
Set the Cloud's y lower edge
setLowerEdgeY(double) - Method in class hep.aida.ref.histogram.Cloud3D
Set the Cloud's y lower edge
setLowerEdgeZ(double) - Method in class hep.aida.ref.histogram.Cloud3D
Set the Cloud's z lower edge
setLRB(double[]) - Method in class jhpro.stat.ConfidenceLevel
 
setLRS(double[]) - Method in class jhpro.stat.ConfidenceLevel
 
setMarginBackground(Color) - Method in class jhplot.GHPanel
Set color for all global margins
setMarginBottom(double) - Method in class jhplot.HPlot
Sets the distance between the bottom-border of the panel and the bottom X-axis.
setMarginBottom(double) - Method in class jhplot.HPlotJa
Margin from bottom.
setMarginLeft(double) - Method in class jhplot.HPlot
Sets the distance between the left-border of the panel and the left Y-axis.
setMarginLeft(double) - Method in class jhplot.HPlotJa
Margin from left
setMarginRight(double) - Method in class jhplot.HPlot
Sets the distance between the right-border of the panel and the right Y-axis.
setMarginRight(double) - Method in class jhplot.HPlotJa
Set margin from right
setMarginSizeBottom(double) - Method in class jhplot.GHPanel
Set size of the bottom margin of global canvas in terms of the ratio to the size of the main panel
setMarginSizeLeft(double) - Method in class jhplot.GHPanel
Set the size of left margin in term of the ratio to the global panel
setMarginSizeRight(double) - Method in class jhplot.GHPanel
Set the size of right margin of the global canvas in terms of the ration to the global panel in X
setMarginSizeTop(double) - Method in class jhplot.GHPanel
Set size of the top margin of global canvas in terms of the ratio to the size of the main panel
setMarginTop(double) - Method in class jhplot.HPlot
Sets the distance between the top-border of the panel and the top X-axis.
setMarginTop(double) - Method in class jhplot.HPlotJa
Set margin from top in NDC system.
setMarginX(double) - Method in class jhplot.HPlotJa
Margin in X between pads
setMarginY(double) - Method in class jhplot.HPlotJa
Margin in Y between pads
setMarksStyle(String) - Method in class jhplot.SPlot
Set the marks style to "none", "points", "dots", or "various".
setMarksStyle(String, int) - Method in class jhplot.SPlot
Set the marks style to "none", "points", "dots", "various", or "pixels" for the specified dataset.
setMass(double) - Method in class hephysics.particle.LParticle
Set a mass
setMax(double) - Method in class jhplot.F1D
Set the maximum value in X
setMax(double) - Method in class jhplot.FND
Set the maximum value in X
setMax(double) - Method in class jhplot.H1D
Set Maximum value of axis
setMax(double) - Method in class jhplot.HProf1D
Set Maximum value of axis
setMax(int, double) - Method in class jhplot.jadraw.JaAxes
Set min values
setMaxCostEval(int) - Method in class org.apache.commons.math.estimation.AbstractEstimator
Deprecated. Set the maximal number of cost evaluations allowed.
setMaxEvaluations(int) - Method in class org.apache.commons.math.ode.AbstractIntegrator
Set the maximal number of differential equations function evaluations.
setMaxEvaluations(int) - Method in class org.apache.commons.math.ode.jacobians.FirstOrderIntegratorWithJacobians
Deprecated. Set the maximal number of differential equations function evaluations.
setMaxEvaluations(int) - Method in interface org.apache.commons.math.ode.ODEIntegrator
Set the maximal number of differential equations function evaluations.
setMaxEvaluations(int) - Method in interface org.apache.commons.math.optimization.DifferentiableMultivariateRealOptimizer
Set the maximal number of functions evaluations.
setMaxEvaluations(int) - Method in interface org.apache.commons.math.optimization.DifferentiableMultivariateVectorialOptimizer
Set the maximal number of functions evaluations.
setMaxEvaluations(int) - Method in class org.apache.commons.math.optimization.direct.DirectSearchOptimizer
Set the maximal number of functions evaluations.
setMaxEvaluations(int) - Method in class org.apache.commons.math.optimization.general.AbstractLeastSquaresOptimizer
Set the maximal number of functions evaluations.
setMaxEvaluations(int) - Method in class org.apache.commons.math.optimization.general.AbstractScalarDifferentiableOptimizer
Set the maximal number of functions evaluations.
setMaxEvaluations(int) - Method in class org.apache.commons.math.optimization.MultiStartDifferentiableMultivariateRealOptimizer
Set the maximal number of functions evaluations.
setMaxEvaluations(int) - Method in class org.apache.commons.math.optimization.MultiStartDifferentiableMultivariateVectorialOptimizer
Set the maximal number of functions evaluations.
setMaxEvaluations(int) - Method in class org.apache.commons.math.optimization.MultiStartMultivariateRealOptimizer
Set the maximal number of functions evaluations.
setMaxEvaluations(int) - Method in class org.apache.commons.math.optimization.MultiStartUnivariateRealOptimizer
Set the maximal number of functions evaluations.
setMaxEvaluations(int) - Method in interface org.apache.commons.math.optimization.MultivariateRealOptimizer
Set the maximal number of functions evaluations.
setMaxEvaluations(int) - Method in class org.apache.commons.math.optimization.univariate.AbstractUnivariateRealOptimizer
Set the maximal number of functions evaluations.
setMaxEvaluations(int) - Method in interface org.apache.commons.math.optimization.UnivariateRealOptimizer
Set the maximal number of functions evaluations.
setMaxGrowth(double) - Method in class org.apache.commons.math.ode.MultistepIntegrator
Set the maximal growth factor for stepsize control.
setMaxGrowth(double) - Method in class org.apache.commons.math.ode.nonstiff.EmbeddedRungeKuttaIntegrator
Set the maximal growth factor for stepsize control.
setMaximalIterationCount(int) - Method in interface org.apache.commons.math.ConvergingAlgorithm
Deprecated. Set the upper limit for the number of iterations.
setMaximalIterationCount(int) - Method in class org.apache.commons.math.ConvergingAlgorithmImpl
Deprecated. Set the upper limit for the number of iterations.
setMaximalIterationCount(int) - Method in class org.apache.commons.math.optimization.MultiStartUnivariateRealOptimizer
Set the upper limit for the number of iterations.
setMaxImpl(UnivariateStatistic) - Method in class org.apache.commons.math.stat.descriptive.DescriptiveStatistics
Sets the implementation for the maximum.
setMaxImpl(StorelessUnivariateStatistic[]) - Method in class org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics
Sets the implementation for the maximum.
setMaxImpl(StorelessUnivariateStatistic) - Method in class org.apache.commons.math.stat.descriptive.SummaryStatistics
Sets the implementation for the maximum.
setMaxImpl(StorelessUnivariateStatistic[]) - Method in class org.apache.commons.math.stat.descriptive.SynchronizedMultivariateSummaryStatistics
Sets the implementation for the maximum.
setMaxImpl(StorelessUnivariateStatistic) - Method in class org.apache.commons.math.stat.descriptive.SynchronizedSummaryStatistics
Sets the implementation for the maximum.
setMaximumIterations(int) - Method in class jhplot.math.num.IterativeMethod
Modify the maximum number of iterations.
setMaximumIterations(int) - Method in class jhplot.math.num.root.Bracket
Modify the maximum number of iterations.
setMaximumRelativeError(double) - Method in class jhplot.math.num.IterativeMethod
Modify the maximum relative error.
setMaxIterations(int) - Method in interface org.apache.commons.math.optimization.DifferentiableMultivariateRealOptimizer
Set the maximal number of iterations of the algorithm.
setMaxIterations(int) - Method in interface org.apache.commons.math.optimization.DifferentiableMultivariateVectorialOptimizer
Set the maximal number of iterations of the algorithm.
setMaxIterations(int) - Method in class org.apache.commons.math.optimization.direct.DirectSearchOptimizer
Set the maximal number of iterations of the algorithm.
setMaxIterations(int) - Method in class org.apache.commons.math.optimization.general.AbstractLeastSquaresOptimizer
Set the maximal number of iterations of the algorithm.
setMaxIterations(int) - Method in class org.apache.commons.math.optimization.general.AbstractScalarDifferentiableOptimizer
Set the maximal number of iterations of the algorithm.
setMaxIterations(int) - Method in class org.apache.commons.math.optimization.linear.AbstractLinearOptimizer
Set the maximal number of iterations of the algorithm.
setMaxIterations(int) - Method in interface org.apache.commons.math.optimization.linear.LinearOptimizer
Set the maximal number of iterations of the algorithm.
setMaxIterations(int) - Method in class org.apache.commons.math.optimization.MultiStartDifferentiableMultivariateRealOptimizer
Set the maximal number of iterations of the algorithm.
setMaxIterations(int) - Method in class org.apache.commons.math.optimization.MultiStartDifferentiableMultivariateVectorialOptimizer
Set the maximal number of iterations of the algorithm.
setMaxIterations(int) - Method in class org.apache.commons.math.optimization.MultiStartMultivariateRealOptimizer
Set the maximal number of iterations of the algorithm.
setMaxIterations(int) - Method in interface org.apache.commons.math.optimization.MultivariateRealOptimizer
Set the maximal number of iterations of the algorithm.
setMaxNumberOfSubticsLog(int) - Method in class jhplot.HPlot
Sets the maximum number of subticks allowed for log10 scale.
setMaxValue(int, double) - Method in class jhplot.HPlot
Sets the maximum data value displayed on the axis.
setMaxX(double) - Method in class jhplot.F2D
Set Max value in X
setMaxX(double) - Method in class jhplot.F3D
Set Max value in X
setMaxY(double) - Method in class jhplot.F2D
Set Max value in Y
setMaxY(double) - Method in class jhplot.F3D
Set Max value in Y
setMaxZ(double) - Method in class jhplot.F3D
Set Max value in Z
setMean(double) - Method in class hep.aida.ref.histogram.Profile1D
 
setMean(double) - Method in class jhplot.math.num.pdf.Exponential
Modify the mean.
setMean(double) - Method in class jhplot.math.num.pdf.Laplace
Modify the mean.
setMean(double) - Method in class jhplot.math.num.pdf.Logistic
Modify the mean.
setMean(double) - Method in class jhplot.math.num.pdf.LogNormal
Modify the mean.
setMean(double) - Method in class jhplot.math.num.pdf.Normal
Modify the mean.
setMean(double) - Method in class jhplot.math.num.pdf.Poisson
Modify the mean.
setMean(double) - Method in interface org.apache.commons.math.distribution.ExponentialDistribution
Deprecated. as of v2.1
setMean(double) - Method in class org.apache.commons.math.distribution.ExponentialDistributionImpl
Deprecated. as of 2.1 (class will become immutable in 3.0)
setMean(double) - Method in interface org.apache.commons.math.distribution.NormalDistribution
Deprecated. as of v2.1
setMean(double) - Method in class org.apache.commons.math.distribution.NormalDistributionImpl
Deprecated. as of 2.1 (class will become immutable in 3.0)
setMean(double) - Method in interface org.apache.commons.math.distribution.PoissonDistribution
Deprecated. as of v2.1
setMean(double) - Method in class org.apache.commons.math.distribution.PoissonDistributionImpl
Deprecated. as of 2.1 (class will become immutable in 3.0)
setMeanAndRms(double, double) - Method in class hep.aida.ref.histogram.Histogram1D
Set the mean of the Histogram.
setMeanAndRms(double, double) - Method in class jhplot.H1D
Sets the Mean and RMS of H1D histogram
setMeanAndRms(double, double) - Method in class jhplot.HProf1D
Sets the Mean and RMS of H1D histogram
setMeanImpl(UnivariateStatistic) - Method in class org.apache.commons.math.stat.descriptive.DescriptiveStatistics
Sets the implementation for the mean.
setMeanImpl(StorelessUnivariateStatistic[]) - Method in class org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics
Sets the implementation for the mean.
setMeanImpl(StorelessUnivariateStatistic) - Method in class org.apache.commons.math.stat.descriptive.SummaryStatistics
Sets the implementation for the mean.
setMeanImpl(StorelessUnivariateStatistic[]) - Method in class org.apache.commons.math.stat.descriptive.SynchronizedMultivariateSummaryStatistics
Sets the implementation for the mean.
setMeanImpl(StorelessUnivariateStatistic) - Method in class org.apache.commons.math.stat.descriptive.SynchronizedSummaryStatistics
Sets the implementation for the mean.
setMeanX(double) - Method in class hep.aida.ref.histogram.Histogram2D
All the non-AIDA methods should go below this point.
setMeanX(double) - Method in class hep.aida.ref.histogram.Histogram3D
All the non-AIDA methods should go below this point.
setMeanX(double) - Method in class hep.aida.ref.histogram.Profile2D
 
setMeanX(double) - Method in class jhplot.H2D
Set mean on X.
setMeanX(double) - Method in class jhplot.HProf2D
Set mean on X.
setMeanY(double) - Method in class hep.aida.ref.histogram.Histogram2D
 
setMeanY(double) - Method in class hep.aida.ref.histogram.Histogram3D
 
setMeanY(double) - Method in class hep.aida.ref.histogram.Profile2D
 
setMeanY(double) - Method in class jhplot.H2D
Set mean on Y
setMeanY(double) - Method in class jhplot.HProf2D
Set mean on Y
setMeanZ(double) - Method in class hep.aida.ref.histogram.Histogram3D
 
setMedian(double) - Method in class jhplot.math.num.pdf.Cauchy
Modify the location parameter.
setMedian(double) - Method in interface org.apache.commons.math.distribution.CauchyDistribution
Deprecated. as of v2.1
setMedian(double) - Method in class org.apache.commons.math.distribution.CauchyDistributionImpl
Deprecated. as of 2.1 (class will become immutable in 3.0)
setMicropshereElements(int) - Method in class org.apache.commons.math.analysis.interpolation.MicrosphereInterpolator
Set the number of microsphere elements.
setMin(double) - Method in class jhplot.F1D
Set Min value in X
setMin(double) - Method in class jhplot.FND
Set Min value in X
setMin(double) - Method in class jhplot.H1D
Set Min value of axis
setMin(double) - Method in class jhplot.HProf1D
Set Min value of axis
setMin(int, double) - Method in class jhplot.jadraw.JaAxes
Set max value
setMinimalIterationCount(int) - Method in interface org.apache.commons.math.analysis.integration.UnivariateRealIntegrator
Set the lower limit for the number of iterations.
setMinimalIterationCount(int) - Method in class org.apache.commons.math.analysis.integration.UnivariateRealIntegratorImpl
Set the lower limit for the number of iterations.
setMinImpl(UnivariateStatistic) - Method in class org.apache.commons.math.stat.descriptive.DescriptiveStatistics
Sets the implementation for the minimum.
setMinImpl(StorelessUnivariateStatistic[]) - Method in class org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics
Sets the implementation for the minimum.
setMinImpl(StorelessUnivariateStatistic) - Method in class org.apache.commons.math.stat.descriptive.SummaryStatistics
Sets the implementation for the minimum.
setMinImpl(StorelessUnivariateStatistic[]) - Method in class org.apache.commons.math.stat.descriptive.SynchronizedMultivariateSummaryStatistics
Sets the implementation for the minimum.
setMinImpl(StorelessUnivariateStatistic) - Method in class org.apache.commons.math.stat.descriptive.SynchronizedSummaryStatistics
Sets the implementation for the minimum.
setMinReduction(double) - Method in class org.apache.commons.math.ode.MultistepIntegrator
Set the minimal reduction factor for stepsize control.
setMinReduction(double) - Method in class org.apache.commons.math.ode.nonstiff.EmbeddedRungeKuttaIntegrator
Set the minimal reduction factor for stepsize control.
setMinValue(int, double) - Method in class jhplot.HPlot
Sets the start-value displayed on the axis.
setMinX(double) - Method in class jhplot.F2D
Set Min in X
setMinX(double) - Method in class jhplot.F3D
Set Min in X
setMinY(double) - Method in class jhplot.F2D
Set Min value in Y
setMinY(double) - Method in class jhplot.F3D
Set Min value in Y
setMinZ(double) - Method in class jhplot.F3D
Set Min value in Z
setMode(int) - Method in class org.apache.commons.math.random.ValueServer
Setter for property mode.
setMove(double, double, double) - Method in class jhplot.HView3D
Move the current plot
setMu(double) - Method in class org.apache.commons.math.random.ValueServer
Setter for property mu.
setMultiText(String[]) - Method in class jhplot.jadraw.JaTextBox
Set multiline text
setName(String) - Method in class hep.aida.ref.ManagedObject
Set the name of this ManagedObject.
setName(String) - Method in class jhplot.F1D
Sets a name of the function, i.e.
setName(String) - Method in class jhplot.F2D
Sets a name of the function, i.e.
setName(String) - Method in class jhplot.F3D
Sets a name of the function, i.e.
setName(String) - Method in class jhplot.FND
Sets a name of the function, i.e.
setName(String) - Method in class jhplot.HChart
Set global title to the current chart.
setName(String) - Method in class jhplot.HPlot
Sets a title for the current plot.
setName(String, Font, Color) - Method in class jhplot.HPlot
Sets a title for the current plot with all attributes
setName(String, Font) - Method in class jhplot.HPlot
Sets a title for the current plot with all attributes
setName(String) - Method in class jhplot.HPlot2D
Set global title to the current chart
setName(String) - Method in class jhplot.PND
Set a new title
setName(String) - Method in class jhplot.v3d.Object3d
 
setName(int, String) - Method in class jminhep.cluster.DataHolder
Set the title for ith component
setNamePos(double, double, String) - Method in class jhplot.HPlot
Sets the position for the title of the current plot.
setNamePos(double, double) - Method in class jhplot.HPlot
Sets the position for the title of the current plot.
setNameX(String) - Method in class jhplot.DrawOptions
Set the name for X-axis.
setNameX(String) - Method in class jhplot.HChart
Sets the name for X axis.
setNameX(String, Font, Color) - Method in class jhplot.HPlot
Set the label for the axis in X
setNameX(String) - Method in class jhplot.HPlot
Sets the name for X axis.
setNameX(String, Font) - Method in class jhplot.HPlot
Sets the name for X axis.
setNameX(String) - Method in class jhplot.HPlot2D
Sets the name for X axis.
setNameX(String) - Method in class jhplot.HPlot3D
Set a name for X axis
setNameX(String) - Method in class jhplot.HPlot3DP
Set a name for X axis
setNameX(String, Font, Color) - Method in class jhplot.HPlotJa
Set the label for the axis in X
setNameX(String) - Method in class jhplot.HPlotJa
Sets the name for X axis.
setNameX(String, Font) - Method in class jhplot.HPlotJa
Sets the name for X axis.
setNameX(String) - Method in class jhplot.SPlot
Set the label for the X (horizontal) axis.
setNameXpos(double, double, String) - Method in class jhplot.HPlot
Sets the position for label on X axis.
setNameXpos(double, double) - Method in class jhplot.HPlot
Sets the position for label on X axis in NDC system.
setNameY(String) - Method in class jhplot.DrawOptions
Sets the name for Y-axis.
setNameY(String) - Method in class jhplot.HChart
Sets the name for Y axis.
setNameY(String) - Method in class jhplot.HPlot
Sets the name for Y axis.
setNameY(String, Font) - Method in class jhplot.HPlot
Sets the name for Y axis.
setNameY(String, Font, Color) - Method in class jhplot.HPlot
Sets the Title for Y-axis
setNameY(String) - Method in class jhplot.HPlot2D
Sets the name for Y axis.
setNameY(String) - Method in class jhplot.HPlot3D
Set a name for Y axis
setNameY(String) - Method in class jhplot.HPlot3DP
Set a name for Y axis
setNameY(String, Font, Color) - Method in class jhplot.HPlotJa
Set the label for the axis in Y
setNameY(String) - Method in class jhplot.HPlotJa
Sets the name for Y axis.
setNameY(String, Font) - Method in class jhplot.HPlotJa
Sets the name for Y axis.
setNameY(String) - Method in class jhplot.SPlot
Set the label for the Y (vertical) axis.
setNameYpos(double, double, String) - Method in class jhplot.HPlot
Sets the position for label on Y axis.
setNameYpos(double, double) - Method in class jhplot.HPlot
Sets the position for label on Y axis in NDC system.
setNameZ(String) - Method in class jhplot.DrawOptions
Sets the title for Z-axis
setNameZ(String) - Method in class jhplot.HPlot3D
Set a name for Z axis
setNameZ(String) - Method in class jhplot.HPlot3DP
Set a name for Z axis
setNdf(int) - Method in class hep.aida.ref.fitter.FitResult
 
setNEntries(int) - Method in class hep.aida.ref.histogram.Histogram
Developer area.
setNEntries(int) - Method in class hep.aida.ref.histogram.Profile1D
 
setNEntries(int) - Method in class hep.aida.ref.histogram.Profile2D
 
setNEntries(int) - Method in class jhplot.H1D
Sets number of entries of H1D histogram.
setNEntries(int) - Method in class jhplot.H2D
Set all entries.
setNEntries(int) - Method in class jhplot.HProf1D
Sets number of entries of the histogram.
setNEntries(int) - Method in class jhplot.HProf2D
Set all entries.
setNMC(double) - Method in class jhpro.stat.limit.StatConfidence
Set number of MC events
setNobs(int) - Method in class jhpro.stat.limit.ExpData
Set number of observations
setNoIntercept(boolean) - Method in class org.apache.commons.math.stat.regression.AbstractMultipleLinearRegression
 
setNonGraphicItems() - Method in class jhplot.HCellular
Creates a CARule and a CAConfig.
setNormal(NormalDistribution) - Method in class org.apache.commons.math.distribution.PoissonDistributionImpl
Deprecated. as of 2.1 (class will become immutable in 3.0)
setNormalization(boolean, boolean) - Method in class hep.aida.ref.function.AbstractDevModelFunction
 
setNormalizationRange(double, double, int) - Method in class hep.aida.ref.function.AbstractDevModelFunction
 
setNPoints(int) - Method in class jhplot.HBsom
Set number of points for fit
setNumberOfElements(int) - Method in interface org.apache.commons.math.distribution.ZipfDistribution
Deprecated. as of v2.1
setNumberOfElements(int) - Method in class org.apache.commons.math.distribution.ZipfDistributionImpl
Deprecated. as of 2.1 (class will become immutable in 3.0)
setNumberOfFailures(int) - Method in class jhplot.math.num.pdf.Hypergeometric
Modify the number of failures.
setNumberOfParameters(int) - Method in class hep.aida.ref.function.AbstractDevModelFunction
 
setNumberOfSuccesses(int) - Method in class jhplot.math.num.pdf.Hypergeometric
Modify the number of successes.
setNumberOfSuccesses(int) - Method in class jhplot.math.num.pdf.NegativeBinomial
Modify the number of successes.
setNumberOfSuccesses(int) - Method in interface org.apache.commons.math.distribution.HypergeometricDistribution
Deprecated. as of v2.1
setNumberOfSuccesses(int) - Method in class org.apache.commons.math.distribution.HypergeometricDistributionImpl
Deprecated. as of 2.1 (class will become immutable in 3.0)
setNumberOfSuccesses(int) - Method in interface org.apache.commons.math.distribution.PascalDistribution
Deprecated. as of v2.1
setNumberOfSuccesses(int) - Method in class org.apache.commons.math.distribution.PascalDistributionImpl
Deprecated. as of 2.1 (class will become immutable in 3.0)
setNumberOfTics(int, int) - Method in class jhplot.HPlot
Sets the number of ticks for the specified axis.
setNumberOfTicsFixed(int, boolean) - Method in class jhplot.HPlot
Says whether the user fixes the number of ticks for a specific axis.
setNumberOfTicsFixed(boolean) - Method in class jhplot.HPlot
Says whether the user fixes the number of ticks for a specific for all axes.
setNumberOfTrials(int) - Method in class jhplot.math.num.pdf.Binomial
Modify the number of trials.
setNumberOfTrials(int) - Method in interface org.apache.commons.math.distribution.BinomialDistribution
Deprecated. as of v2.1
setNumberOfTrials(int) - Method in class org.apache.commons.math.distribution.BinomialDistributionImpl
Deprecated. as of 2.1 (class will become immutable in 3.0)
setNumElements(int) - Method in class org.apache.commons.math.util.ResizableDoubleArray
This function allows you to control the number of elements contained in this array, and can be used to "throw out" the last n values in an array.
setNumeratorDegreesOfFreedom(double) - Method in class jhplot.math.num.pdf.FDistribution
Modify the numerator degrees of freedom.
setNumeratorDegreesOfFreedom(double) - Method in interface org.apache.commons.math.distribution.FDistribution
Deprecated. as of v2.1
setNumeratorDegreesOfFreedom(double) - Method in class org.apache.commons.math.distribution.FDistributionImpl
Deprecated. as of 2.1 (class will become immutable in 3.0)
setNumeratorFormat(NumberFormat) - Method in class org.apache.commons.math.fraction.AbstractFormat
Modify the numerator format.
setObject(Object) - Method in class hep.aida.ref.ContainerManagedObject
 
setObservable(IsObservable) - Method in class hep.aida.ref.event.ObserverAdapter
 
setOneWayAnova(OneWayAnova) - Static method in class org.apache.commons.math.stat.inference.TestUtils
Deprecated. 2.2 will be removed in 3.0 - not compatible with use from multiple threads
setOrderControl(int, double, double) - Method in class org.apache.commons.math.ode.nonstiff.GraggBulirschStoerIntegrator
Set the order control parameters.
setOrthoTolerance(double) - Method in class org.apache.commons.math.estimation.LevenbergMarquardtEstimator
Deprecated. Set the desired max cosine on the orthogonality.
setOrthoTolerance(double) - Method in class org.apache.commons.math.optimization.general.LevenbergMarquardtOptimizer
Set the desired max cosine on the orthogonality.
setOverwrite() - Method in class hep.aida.ref.tree.Tree
Set the strategy of what should happen if two objects have the same path.
setOverwrite(boolean) - Method in class hep.aida.ref.tree.Tree
Set the strategy of what should happen if two objects have the same path.
SetOwner() - Method in class jhpro.stat.DataSource
Initialize all arrays
setPad(double, double, double, double) - Method in class jhplot.HPlotJa
Set the location and the size of the current pad in NDC coordinate.
setPad(int, int, double, double, double, double) - Method in class jhplot.HPlotJa
Set the location and the size of the pad in NDC coordinate.
setPad(int, int, double, double) - Method in class jhplot.HPlotJa
Set the location and the size of the pad in NDC coordinate.
setPad(int, int) - Method in class jhplot.jadraw.JaAxes
Set pad ID
setPadLocation(double, double) - Method in class jhplot.HPlotJa
Set location of the current pad in NDC You may need to call update.
setPadSize(double, double) - Method in class jhplot.HPlotJa
Set width and height of the pad in NDC
setPadX(int) - Method in class jhplot.jadraw.JaKey
Set pad ID in X
setPadX(int) - Method in class jhplot.jadraw.JaText
Set pad ID in X
setPadX(int) - Method in class jhplot.jadraw.JaTextBox
Set pad ID in X
setPadY(int) - Method in class jhplot.jadraw.JaKey
Set pad ID in Y
setPadY(int) - Method in class jhplot.jadraw.JaText
Set pad ID in Y
setPadY(int) - Method in class jhplot.jadraw.JaTextBox
Set pad ID in Y
setPanelSize(Dimension) - Method in class jhplot.HPlot
Sets the dimensions of the panel of the graph.
setPar(double[]) - Method in class hep.aida.ref.function.JELCompiledExpression.ValueProvider
 
setPar(String, double) - Method in class jhplot.F1D
Replace abstract parameter with the value (double).
setPar(String, int) - Method in class jhplot.F1D
Replace abstract parameter with the value (integer).
setPar(String, double) - Method in class jhplot.HFitter
Set parameter to a value
setParameter(String, double) - Method in class hep.aida.ref.fitter.InternalFitFunction
 
setParameter(String, double) - Method in class hep.aida.ref.function.AbstractDevModelFunction
 
setParameter(String, double) - Method in class hep.aida.ref.function.AbstractIFunction
 
setParameter(String, double) - Method in class hep.aida.ref.function.BaseModelFunction
 
setParameter(String, double) - Method in class hep.aida.ref.function.FunctionCore
 
setParameter(String, double) - Method in class hep.aida.ref.function.IFunctionCoreNotNorm
 
setParameter(String, double) - Method in class hep.aida.ref.function.SumOfFunctions
 
setParameter(int, double) - Method in interface org.apache.commons.math.ode.jacobians.ParameterizedODE
Deprecated. Set a parameter.
setParameterNames(String[]) - Method in class hep.aida.ref.function.AbstractDevModelFunction
 
setParameterNames(String[]) - Method in class hep.aida.ref.function.BaseModelFunction
 
setParameterNames(String[]) - Method in class hep.aida.ref.function.FunctionCore
 
setParameterNames(String[]) - Method in class hep.aida.ref.function.JELCompiledExpression
 
setParameterNames(String[]) - Method in class hep.aida.ref.function.JELFunctionCore
 
setParameters(double[]) - Method in class hep.aida.ref.fitter.InternalFitFunction
 
setParameters(double[]) - Method in class hep.aida.ref.function.AbstractDevModelFunction
 
setParameters(double[]) - Method in class hep.aida.ref.function.AbstractIFunction
 
setParameters(double[]) - Method in class hep.aida.ref.function.BaseModelFunction
 
setParameters(double[]) - Method in class hep.aida.ref.function.FunctionCore
 
setParameters(double[]) - Method in class hep.aida.ref.function.IFunctionCoreNotNorm
 
setParameters(double[]) - Method in class hep.aida.ref.function.SumOfFunctions
 
setParConstraint(String) - Method in class jhplot.HFitter
Set parameter constraint Example: Set parameter "mean1" to be identical to "mean2" as: "mean1=mean2"
setParent(LParticle) - Method in class hephysics.particle.LParticle
Set a parent particle
setParFixed(String) - Method in class jhplot.HFitter
Fix a given parameter to a constant value
setParFixed(String, boolean) - Method in class jhplot.HFitter
Fix a given parameter to a constant value or not
setParRange(String, double, double) - Method in class jhplot.HFitter
Set range for parameter during the fit
setParRelativeTolerance(double) - Method in class org.apache.commons.math.estimation.LevenbergMarquardtEstimator
Deprecated. Set the desired relative error in the approximate solution parameters.
setParRelativeTolerance(double) - Method in class org.apache.commons.math.optimization.general.LevenbergMarquardtOptimizer
Set the desired relative error in the approximate solution parameters.
setParStep(String, double) - Method in class jhplot.HFitter
Set step size for parameter (say 0.01)
setPassiveEuler(double, double, double) - Method in class hephysics.vec.Hep3Matrix
Defines a rotation matrix via Euler angles.
setPdgcode(int) - Method in class hephysics.particle.HEParticle
Set PDG code
setPenColor(Color) - Method in class jhplot.P3D
Sets the symbol color
setPenDash() - Method in class jhplot.DrawOptions
Set dashed style with default length
setPenDash(int) - Method in class jhplot.DrawOptions
Set dashed style with default length
setPenWidth(int) - Method in class jhplot.DrawOptions
Set width of the lines
setPenWidth(int) - Method in class jhplot.FPR
Set width of lines
setPenWidth(float) - Method in class jhplot.jadraw.JaKey
Set a pen width used to draw the key
setPenWidth(float) - Method in class jhplot.jadraw.JaLine
Set line width
setPenWidth(int) - Method in class jhplot.P3D
Set width of the lines
setPenWidthAxes(int) - Method in class jhplot.HPlot3D
Set line width to draw axes
setPenWidthAxis(double) - Method in class jhplot.HPlot
Set pen width to draw axis
setPenWidthErr(int) - Method in class jhplot.DrawOptions
Set width of the lines used to show 1st level errors
setPenWidthErrSys(int) - Method in class jhplot.DrawOptions
Set width of the lines used to show 2nd level errors
setPercentileImpl(UnivariateStatistic) - Method in class org.apache.commons.math.stat.descriptive.DescriptiveStatistics
Sets the implementation to be used by DescriptiveStatistics.getPercentile(double).
setPhi(double) - Method in class hephysics.vec.Hep3Vector
Set phi
setPlotsNum(int, int) - Method in class jhplot.GHFrame
Set the number of plots
setPoint(int, IDataPoint) - Method in class hep.aida.ref.histogram.DataPointSet
Set the IDataPoint at a give index in the set.
setPoints(int) - Method in class jhplot.F1D
Sets the number points between Min and Max for evaluation
setPoints(int) - Method in class jhplot.F2D
Get the number of points
setPoints(int) - Method in class jhplot.F3D
Get the number of points
setPoints(int) - Method in class jhplot.FND
Sets the number points between Min and Max for evaluation
setPopulationLimit(int) - Method in class org.apache.commons.math.genetics.ListPopulation
Sets the maximal population size.
setPopulationSize(int) - Method in class jhplot.HCellular
Set population size
setPopulationSize(int) - Method in interface org.apache.commons.math.distribution.HypergeometricDistribution
Deprecated. as of v2.1
setPopulationSize(int) - Method in class org.apache.commons.math.distribution.HypergeometricDistributionImpl
Deprecated. as of 2.1 (class will become immutable in 3.0)
setPos(String, int, int) - Method in class jhplot.HGraph
Set vertex position
setPosCoord(String) - Method in class jhplot.shapes.HShape
Set the style of the coodinate position
setPosition(HepLorentzVector) - Method in class hephysics.particle.HEParticle
Set position of particle in X,Y,Z,time.
setPositionCoordinate(int) - Method in class jhplot.shapes.HShape
How to set the position of this object?
setPreconditioner(Preconditioner) - Method in class org.apache.commons.math.optimization.general.NonLinearConjugateGradientOptimizer
Set the preconditioner.
setPrimitivesToFront(boolean) - Method in class jhplot.HPlot
Setting the flag to true, this will draw all primitives after drawing all the lines and point stuff, hence on the foreground.
setProbab(double) - Method in class jminhep.cluster.Partition
Set probability for cluster accosiation
setProbabilityOfSuccess(double) - Method in class jhplot.math.num.pdf.Binomial
Modify probability of success.
setProbabilityOfSuccess(double) - Method in class jhplot.math.num.pdf.Geometric
Modify probability of success.
setProbabilityOfSuccess(double) - Method in class jhplot.math.num.pdf.NegativeBinomial
Modify probability of success.
setProbabilityOfSuccess(double) - Method in interface org.apache.commons.math.distribution.BinomialDistribution
Deprecated. as of v2.1
setProbabilityOfSuccess(double) - Method in class org.apache.commons.math.distribution.BinomialDistributionImpl
Deprecated. as of 2.1 (class will become immutable in 3.0)
setProbabilityOfSuccess(double) - Method in interface org.apache.commons.math.distribution.PascalDistribution
Deprecated. as of v2.1
setProbabilityOfSuccess(double) - Method in class org.apache.commons.math.distribution.PascalDistributionImpl
Deprecated. as of 2.1 (class will become immutable in 3.0)
setProvidesGradient(boolean) - Method in class hep.aida.ref.function.AbstractDevModelFunction
 
setProvidesParameterGradient(boolean) - Method in class hep.aida.ref.function.AbstractDevModelFunction
 
setPx(double) - Method in class hephysics.vec.HepLorentzVector
Set Px
setPxPyPz(double, double, double) - Method in class hephysics.particle.LParticle
Set Px,Py,Pz (or x,y,z)
setPxPyPzE(double, double, double, double) - Method in class hephysics.particle.LParticle
Set Px,Py,Pz (or x,y,z) and energy
setPy(double) - Method in class hephysics.vec.HepLorentzVector
Set Py
setPz(double) - Method in class hephysics.vec.HepLorentzVector
Set Pz
setQRRankingThreshold(double) - Method in class org.apache.commons.math.optimization.general.LevenbergMarquardtOptimizer
Set the desired threshold for QR ranking.
setQuality(double) - Method in class hep.aida.ref.fitter.FitResult
 
setQuantile(double) - Method in class org.apache.commons.math.stat.descriptive.rank.Percentile
Sets the value of the quantile field (determines what percentile is computed when evaluate() is called with no quantile argument).
setRandomGenerator(RandomGenerator) - Static method in class org.apache.commons.math.genetics.GeneticAlgorithm
Set the (static) random generator.
setRandomSeed(long) - Static method in class hep.aida.ref.function.FunctionUtils
 
setRange(int, int) - Method in class hep.aida.ref.tuple.TupleEvent
 
setRange(int, double, double) - Method in class jhplot.HChart
Sets the range (min-max) displayed on the axis.
setRange(double, double) - Method in class jhplot.HFitter
Set range for fitting for 1D objects (H1D, P1D)
setRange(int, double, double) - Method in class jhplot.HPlot
Sets the range (min-max) displayed on the axis.
setRange(double, double, double, double) - Method in class jhplot.HPlot
Sets the range for the current plot
setRange(int, double, double, int) - Method in class jhplot.HPlot2D
Sets the range for the current plot and axis.
setRange(double, double, double, double) - Method in class jhplot.HPlot3D
Set X and Y range for the 3D plot.
setRange(double, double, double, double, double, double) - Method in class jhplot.HPlot3D
Set X, Y, Z ranges for the 3D plot
setRange(double, double, double, double) - Method in class jhplot.HPlotJa
Set ranges on X and Y on the current pad.
setRange(int, double, double) - Method in class jhplot.jadraw.JaAxes
Set the ranges for the current pad
setRange(double, double, double, double) - Method in class jhplot.SPlot
Set range for X and Y axes.
setRange(double, double) - Method in class jhplot.stat.Interpolator
Redefine smooth interval for input data.
setRangeAll(int, double, double) - Method in class jhplot.HPlot
Sets the range (min-max) displayed on all axises.
setRangeAll(double, double, double, double) - Method in class jhplot.HPlot
Sets the range for all plots
setRangeX(double, double) - Method in class jhplot.HPlot
Sets the range (min-max) displayed on X
setRangeX(double, double) - Method in class jhplot.HPlot3DP
Set range for X axis
setRangeX(double, double) - Method in class jhplot.HPlotJa
Set range on X.
setRangeX(double, double, int, int) - Method in class jhplot.HPlotJa
Set X range on pad defined by x and y on the canvas.
setRangeY(double, double) - Method in class jhplot.HPlot
Sets the range (min-max) displayed on Y
setRangeY(double, double) - Method in class jhplot.HPlot3DP
Set range for Y
setRangeY(double, double) - Method in class jhplot.HPlotJa
Set range on Y on the current pad.
setRangeY(double, double, int, int) - Method in class jhplot.HPlotJa
Set Y range on pad defined by x and y on the canvas.
setRangeZ(double, double) - Method in class jhplot.HPlot3D
Sets the z range of calculated surface vertices.
setRangeZ(double, double) - Method in class jhplot.HPlot3DP
Set range for Z
setRealFormat(NumberFormat) - Method in class org.apache.commons.math.complex.ComplexFormat
Modify the realFormat.
setRelation(String) - Method in class jminhep.cluster.DataHolder
Set relation (name) of the data holder
setRelativeAccuracy(double) - Method in interface org.apache.commons.math.ConvergingAlgorithm
Deprecated. Set the relative accuracy.
setRelativeAccuracy(double) - Method in class org.apache.commons.math.ConvergingAlgorithmImpl
Deprecated. Set the relative accuracy.
setRelativeAccuracy(double) - Method in class org.apache.commons.math.optimization.MultiStartUnivariateRealOptimizer
Set the relative accuracy.
setRelh(int) - Method in class jhplot.jadraw.JaObject
Sets the relative height of this object.
setRelw(int) - Method in class jhplot.jadraw.JaObject
Sets the relative width of this object.
setRelWAndH(int, int) - Method in class jhplot.jadraw.JaObject
Sets the relative width and height of this object.
setRelWH(double, double, String) - Method in class jhplot.jadraw.JaObject
Set relative size in the NDC or USER coordinates
setRms(double) - Method in class hep.aida.ref.histogram.Profile1D
 
setRmsX(double) - Method in class hep.aida.ref.histogram.Histogram2D
 
setRmsX(double) - Method in class hep.aida.ref.histogram.Histogram3D
 
setRmsX(double) - Method in class hep.aida.ref.histogram.Profile2D
 
setRmsX(double) - Method in class jhplot.H2D
Set RMS on X.
setRmsX(double) - Method in class jhplot.HProf2D
Set RMS on X.
setRmsY(double) - Method in class hep.aida.ref.histogram.Histogram2D
 
setRmsY(double) - Method in class hep.aida.ref.histogram.Histogram3D
 
setRmsY(double) - Method in class hep.aida.ref.histogram.Profile2D
 
setRmsY(double) - Method in class jhplot.H2D
Set RMS on Y
setRmsY(double) - Method in class jhplot.HProf2D
Set RMS on Y
setRmsZ(double) - Method in class hep.aida.ref.histogram.Histogram3D
 
setRootFile(File) - Method in class jhplot.root.RootHistogramBrowser
 
setRootFile(URL) - Method in class jhplot.root.RootHistogramBrowser
 
setRot(float, float, float) - Method in class jhplot.v3d.Position
 
setRotAngle(int) - Method in class jhplot.jadraw.JaBlob
Sets the rotation angle of this blob.
setRotAngle(int) - Method in class jhplot.jadraw.JaKey
Sets the rotAngle property of this text object.
setRotAngle(int) - Method in class jhplot.jadraw.JaLatexText
Sets the rotAngle property of this text object.
setRotAngle(int) - Method in class jhplot.jadraw.JaText
Sets the rotAngle property of this text object.
setRotAngle(int) - Method in class jhplot.jadraw.JaTextBox
Sets the rotAngle property of this text object.
setRotAngle(int) - Method in class jhplot.jadraw.JaVertexT2
Sets the rotation angle of this vertex.
setRotate(double, double, double) - Method in class jhplot.HView3D
Rotate the current plot
setRotateTicks(int, boolean) - Method in class jhplot.jadraw.JaAxes
Set true if ticks should be rotated
setRotation(int) - Method in class jhplot.GHMargin
Set the rotation angle of the text in degrees.
setRotation(double) - Method in class jhplot.HKey
Sets the rotation angle.
setRotation(double) - Method in class jhplot.HLabel
Sets the rotation angle.
setRotation(double) - Method in class jhplot.HMLabel
Sets the rotation angle.
setRotation(double) - Method in class jhplot.shapes.Text
Set the rotation angle
setRotationAngle(double) - Method in class jhplot.HPlot3D
Get the rotation angle
setRoundingMode(DfpField.RoundingMode) - Method in class org.apache.commons.math.dfp.DfpField
Set the rounding mode.
setRoundingMode(int) - Method in class org.apache.commons.math.linear.BigMatrixImpl
Deprecated. Sets the rounding mode for decimal divisions.
setRoundingMode(RoundingMode) - Method in class org.apache.commons.math.util.BigReal
Sets the rounding mode for decimal divisions.
setRow(int) - Method in class hep.aida.ref.tuple.AbstractTuple
 
setRow(int) - Method in class hep.aida.ref.tuple.ChainedTuple
Set the current row.
setRow(int) - Method in interface hep.aida.ref.tuple.FTupleCursor
 
setRow(int) - Method in class hep.aida.ref.tuple.TupleCursor
 
setRow(int, T[]) - Method in class org.apache.commons.math.linear.AbstractFieldMatrix
Sets the entries in row number row as a row matrix.
setRow(int, double[]) - Method in class org.apache.commons.math.linear.AbstractRealMatrix
Sets the entries in row number row as a row matrix.
setRow(int, T[]) - Method in class org.apache.commons.math.linear.BlockFieldMatrix
Sets the entries in row number row as a row matrix.
setRow(int, double[]) - Method in class org.apache.commons.math.linear.BlockRealMatrix
Sets the entries in row number row as a row matrix.
setRow(int, T[]) - Method in interface org.apache.commons.math.linear.FieldMatrix
Sets the entries in row number row as a row matrix.
setRow(int, double[]) - Method in interface org.apache.commons.math.linear.RealMatrix
Sets the entries in row number row as a row matrix.
setRowMatrix(int, FieldMatrix<T>) - Method in class org.apache.commons.math.linear.AbstractFieldMatrix
Sets the entries in row number row as a row matrix.
setRowMatrix(int, RealMatrix) - Method in class org.apache.commons.math.linear.AbstractRealMatrix
Sets the entries in row number row as a row matrix.
setRowMatrix(int, FieldMatrix<T>) - Method in class org.apache.commons.math.linear.BlockFieldMatrix
Sets the entries in row number row as a row matrix.
setRowMatrix(int, BlockFieldMatrix<T>) - Method in class org.apache.commons.math.linear.BlockFieldMatrix
Sets the entries in row number row as a row matrix.
setRowMatrix(int, RealMatrix) - Method in class org.apache.commons.math.linear.BlockRealMatrix
Sets the entries in row number row as a row matrix.
setRowMatrix(int, BlockRealMatrix) - Method in class org.apache.commons.math.linear.BlockRealMatrix
Sets the entries in row number row as a row matrix.
setRowMatrix(int, FieldMatrix<T>) - Method in interface org.apache.commons.math.linear.FieldMatrix
Sets the entries in row number row as a row matrix.
setRowMatrix(int, RealMatrix) - Method in interface org.apache.commons.math.linear.RealMatrix
Sets the entries in row number row as a row matrix.
setRowVector(int, FieldVector<T>) - Method in class org.apache.commons.math.linear.AbstractFieldMatrix
Sets the entries in row number row as a vector.
setRowVector(int, RealVector) - Method in class org.apache.commons.math.linear.AbstractRealMatrix
Sets the entries in row number row as a vector.
setRowVector(int, FieldVector<T>) - Method in class org.apache.commons.math.linear.BlockFieldMatrix
Sets the entries in row number row as a vector.
setRowVector(int, RealVector) - Method in class org.apache.commons.math.linear.BlockRealMatrix
Sets the entries in row number row as a vector.
setRowVector(int, FieldVector<T>) - Method in interface org.apache.commons.math.linear.FieldMatrix
Sets the entries in row number row as a vector.
setRowVector(int, RealVector) - Method in interface org.apache.commons.math.linear.RealMatrix
Sets the entries in row number row as a vector.
setRule(String) - Method in class jhplot.HCellular
Set rule.
setSafety(double) - Method in class org.apache.commons.math.ode.MultistepIntegrator
Set the safety factor for stepsize control.
setSafety(double) - Method in class org.apache.commons.math.ode.nonstiff.EmbeddedRungeKuttaIntegrator
Set the safety factor for stepsize control.
setSampleSize(int) - Method in class jhplot.math.num.pdf.Hypergeometric
Modify the sample size.
setSampleSize(int) - Method in interface org.apache.commons.math.distribution.HypergeometricDistribution
Deprecated. as of v2.1
setSampleSize(int) - Method in class org.apache.commons.math.distribution.HypergeometricDistributionImpl
Deprecated. as of 2.1 (class will become immutable in 3.0)
setScale(double) - Method in class jhplot.math.num.pdf.Cauchy
Modify the scale parameter.
setScale(double) - Method in class jhplot.math.num.pdf.Laplace
Modify the scale.
setScale(double) - Method in class jhplot.math.num.pdf.Logistic
Modify the scale parameter.
setScale(double) - Method in class jhplot.math.num.pdf.Rayleigh
Modify the scale parameter.
setScale(double) - Method in class jhplot.math.num.pdf.Weibull
Modify the scale parameter.
setScale(float, float, float) - Method in class jhplot.v3d.Position
 
setScale(double) - Method in interface org.apache.commons.math.distribution.CauchyDistribution
Deprecated. as of v2.1
setScale(double) - Method in class org.apache.commons.math.distribution.CauchyDistributionImpl
Deprecated. as of 2.1 (class will become immutable in 3.0)
setScale(double) - Method in interface org.apache.commons.math.distribution.WeibullDistribution
Deprecated. as of v2.1
setScale(double) - Method in class org.apache.commons.math.distribution.WeibullDistributionImpl
Deprecated. as of 2.1 (class will become immutable in 3.0)
setScale(int) - Method in class org.apache.commons.math.linear.BigMatrixImpl
Deprecated. Sets the scale for division operations.
setScale(int) - Method in class org.apache.commons.math.util.BigReal
Sets the scale for division operations.
setScaling(double) - Method in class jhplot.HPlot3D
Set the scaling
setSecureAlgorithm(String, String) - Method in class org.apache.commons.math.random.RandomDataImpl
Sets the PRNG algorithm for the underlying SecureRandom instance using the Security Provider API.
setSeed(int) - Method in class org.apache.commons.math.random.AbstractRandomGenerator
Sets the seed of the underlying random number generator using an int seed.
setSeed(int[]) - Method in class org.apache.commons.math.random.AbstractRandomGenerator
Sets the seed of the underlying random number generator using an int array seed.
setSeed(long) - Method in class org.apache.commons.math.random.AbstractRandomGenerator
Sets the seed of the underyling random number generator using a long seed.
setSeed(int) - Method in class org.apache.commons.math.random.AbstractWell
Reinitialize the generator as if just built with the given int seed.
setSeed(int[]) - Method in class org.apache.commons.math.random.AbstractWell
Reinitialize the generator as if just built with the given int array seed.
setSeed(long) - Method in class org.apache.commons.math.random.AbstractWell
Reinitialize the generator as if just built with the given long seed.
setSeed(int) - Method in class org.apache.commons.math.random.BitsStreamGenerator
Sets the seed of the underlying random number generator using an int seed.
setSeed(int[]) - Method in class org.apache.commons.math.random.BitsStreamGenerator
Sets the seed of the underlying random number generator using an int array seed.
setSeed(long) - Method in class org.apache.commons.math.random.BitsStreamGenerator
Sets the seed of the underlying random number generator using a long seed.
setSeed(int) - Method in class org.apache.commons.math.random.JDKRandomGenerator
Sets the seed of the underlying random number generator using an int seed.
setSeed(int[]) - Method in class org.apache.commons.math.random.JDKRandomGenerator
Sets the seed of the underlying random number generator using an int array seed.
setSeed(int) - Method in class org.apache.commons.math.random.MersenneTwister
Reinitialize the generator as if just built with the given int seed.
setSeed(int[]) - Method in class org.apache.commons.math.random.MersenneTwister
Reinitialize the generator as if just built with the given int array seed.
setSeed(long) - Method in class org.apache.commons.math.random.MersenneTwister
Reinitialize the generator as if just built with the given long seed.
setSeed(int) - Method in class org.apache.commons.math.random.RandomAdaptor
Sets the seed of the underlying random number generator using an int seed.
setSeed(int[]) - Method in class org.apache.commons.math.random.RandomAdaptor
Sets the seed of the underlying random number generator using an int array seed.
setSeed(long) - Method in class org.apache.commons.math.random.RandomAdaptor
Sets the seed of the underlying random number generator using a long seed.
setSeed(int) - Method in interface org.apache.commons.math.random.RandomGenerator
Sets the seed of the underlying random number generator using an int seed.
setSeed(int[]) - Method in interface org.apache.commons.math.random.RandomGenerator
Sets the seed of the underlying random number generator using an int array seed.
setSeed(long) - Method in interface org.apache.commons.math.random.RandomGenerator
Sets the seed of the underlying random number generator using a long seed.
setSensitivity(double) - Method in class jhpro.stat.limit.StatConfidence
Set new sensitivity
setSensitivityError(double) - Method in class jhpro.stat.limit.StatConfidence
Set error on sensitivity
setSeparation(float) - Method in class jhplot.HKey
Set Y-separation of the keys in the default location mode
setShadow(boolean) - Method in class jhplot.HPlot
Defines whether or not a shadow will be drawn at the panel border.
setShadow(boolean) - Method in class jhplot.jadraw.JaTextBox
Sets the shadow to the box.
setShadowSize(int) - Method in class jhplot.jadraw.JaTextBox
Sets a shadow size.
setShadowXOffset(int) - Method in class jhplot.jadraw.JaTextBox
Set shadow offset in X
setShadowYOffset(int) - Method in class jhplot.jadraw.JaTextBox
Set shadow offset in Y
setShape(double) - Method in class jhplot.math.num.pdf.Weibull
Modify the shape parameter.
setShape(double) - Method in interface org.apache.commons.math.distribution.WeibullDistribution
Deprecated. as of v2.1
setShape(double) - Method in class org.apache.commons.math.distribution.WeibullDistributionImpl
Deprecated. as of 2.1 (class will become immutable in 3.0)
setShow(int, boolean) - Method in class jhplot.jadraw.JaAxes
Set true if you want to show a particular axis
setShowGrid(int, boolean) - Method in class jhplot.jadraw.JaAxes
Is grid to be shown?
setShowKey(boolean) - Method in class jhplot.jadraw.JaAxes
Set true if keys are shown
setShowMirror(int, boolean) - Method in class jhplot.HPlotJa
Set or no a mirror axis
setShowMirror(int, boolean) - Method in class jhplot.jadraw.JaAxes
Set true if a mirror axis to be shown
setShowStatBox(boolean) - Method in class jhplot.HPlotJa
Show a box with statistics (only for last plotted object) on the current pad
setSigma(double) - Method in class org.apache.commons.math.random.ValueServer
Setter for property sigma.
setSize(int, int, int, int) - Method in class jhplot.jadraw.JaObject
Reset the size (width, height, relative width and height) of this object.
setSize(int) - Method in class jhplot.math.num.DoubleArray
Modify the size of this array.
setSize(int, int) - Method in class jhplot.SPlot
Set size of the frame.
setSizeMargin(int, int) - Method in class jhplot.GHMargin
Set size of this margin panel
setSizePanel(int, int) - Method in class jhplot.GHPanel
Set the size of the global panel which keeps the central panel and the margins
setSkewnessImpl(UnivariateStatistic) - Method in class org.apache.commons.math.stat.descriptive.DescriptiveStatistics
Sets the implementation for the skewness.
setSoftCurrentTime(double) - Method in class org.apache.commons.math.ode.sampling.AbstractStepInterpolator
Restrict step range to a limited part of the global step.
setSoftPreviousTime(double) - Method in class org.apache.commons.math.ode.sampling.AbstractStepInterpolator
Restrict step range to a limited part of the global step.
setSpaceParity(float) - Method in class hephysics.particle.HEParticle
Set P space parity
setSpin(float) - Method in class hephysics.particle.HEParticle
Set J total spin
setStabilityCheck(boolean, int, int, double) - Method in class org.apache.commons.math.ode.nonstiff.GraggBulirschStoerIntegrator
Set the stability check controls.
setStandardDeviation(double) - Method in class jhplot.math.num.pdf.LogNormal
Modify the standard deviation.
setStandardDeviation(double) - Method in class jhplot.math.num.pdf.Normal
Modify the standard deviation.
setStandardDeviation(double) - Method in interface org.apache.commons.math.distribution.NormalDistribution
Deprecated. as of v2.1
setStandardDeviation(double) - Method in class org.apache.commons.math.distribution.NormalDistributionImpl
Deprecated. as of 2.1 (class will become immutable in 3.0)
setStangle(int) - Method in class jhplot.jadraw.JaArcObject
Sets the stangle property of this arc object.
setStartConfiguration(double[]) - Method in class org.apache.commons.math.optimization.direct.DirectSearchOptimizer
Set start configuration for simplex.
setStartConfiguration(double[][]) - Method in class org.apache.commons.math.optimization.direct.DirectSearchOptimizer
Set start configuration for simplex.
setStarterIntegrator(FirstOrderIntegrator) - Method in class org.apache.commons.math.ode.MultistepIntegrator
Set the starter integrator.
setStatBox(String[], int, int) - Method in class jhplot.HPlotJa
Set statistical box.
setStatistics(String[]) - Method in class jhplot.jadraw.JaAxes
Set a strings representing the full statistics
setStatus(int) - Method in class hephysics.particle.HEParticle
Set Monte Carlo status code
setSteadyStateThreshold(double) - Method in class org.apache.commons.math.estimation.GaussNewtonEstimator
Deprecated. Set the steady state detection threshold.
setStepSize(double) - Method in class hep.aida.ref.fitter.FitParameterSettings
 
setStepsizeControl(double, double, double, double) - Method in class org.apache.commons.math.ode.nonstiff.GraggBulirschStoerIntegrator
Set the step size control factors.
setSticky(String, boolean) - Method in class hep.aida.ref.Annotation
Set stickyness for a given key.
setStot(double) - Method in class jhpro.stat.ConfidenceLevel
 
setString(String, Font, Color, Dimension) - Method in class jhplot.GHMargin
Sets the string.
setString(String) - Method in class jhplot.GHMargin
Set the text on this panel
setString(String, Font, Color) - Method in class jhplot.GHMargin
 
setStringPositionX(double) - Method in class jhplot.GHMargin
Set the text position in X relative to the frame width
setStringPositionY(double) - Method in class jhplot.GHMargin
Set the text position in Y relative to the frame height.
setStroke(float) - Method in class jhplot.jadraw.JaArcObject
Sets the stroke property of this arc object.
setStroke(float) - Method in class jhplot.jadraw.JaFillObject
Sets the stroke (line width) of this object.
setStroke(float) - Method in class jhplot.jadraw.JaLineObject
Sets the stroke property of this line object.
setStroke(float) - Method in class jhplot.jadraw.JaLoopObject
Sets the stroke property of this loop object.
setStroke(float) - Method in class jhplot.jadraw.JaVertex
Sets the stroke property of this line object.
setStroke(Stroke) - Method in class jhplot.shapes.HShape
Set the Stroke to a specific value
setStyle(String) - Method in class jhplot.DrawOptions
Sets the style:
setStyle(int) - Method in class jhplot.HPlot2D
Set style to the current plot.
setSubMatrix(T[][], int, int) - Method in class org.apache.commons.math.linear.AbstractFieldMatrix
Replace the submatrix starting at row, column using data in the input subMatrix array.
setSubMatrix(double[][], int, int) - Method in class org.apache.commons.math.linear.AbstractRealMatrix
Replace the submatrix starting at row, column using data in the input subMatrix array.
setSubMatrix(T[][], int, int) - Method in class org.apache.commons.math.linear.Array2DRowFieldMatrix
Replace the submatrix starting at row, column using data in the input subMatrix array.
setSubMatrix(double[][], int, int) - Method in class org.apache.commons.math.linear.Array2DRowRealMatrix
Replace the submatrix starting at row, column using data in the input subMatrix array.
setSubMatrix(BigDecimal[][], int, int) - Method in class org.apache.commons.math.linear.BigMatrixImpl
Deprecated. Replace the submatrix starting at row, column using data in the input subMatrix array.
setSubMatrix(T[][], int, int) - Method in class org.apache.commons.math.linear.BlockFieldMatrix
Replace the submatrix starting at row, column using data in the input subMatrix array.
setSubMatrix(double[][], int, int) - Method in class org.apache.commons.math.linear.BlockRealMatrix
Replace the submatrix starting at row, column using data in the input subMatrix array.
setSubMatrix(T[][], int, int) - Method in interface org.apache.commons.math.linear.FieldMatrix
Replace the submatrix starting at row, column using data in the input subMatrix array.
setSubMatrix(double[][], int, int) - Method in interface org.apache.commons.math.linear.RealMatrix
Replace the submatrix starting at row, column using data in the input subMatrix array.
setSubMatrix(double[][], int, int) - Method in class org.apache.commons.math.linear.RealMatrixImpl
Deprecated. Replace the submatrix starting at row, column using data in the input subMatrix array.
setSubTicksNumber(int, int) - Method in class jhplot.jadraw.JaAxes
Set the number of sub-ticks
setSubTicksSize(int, double) - Method in class jhplot.jadraw.JaAxes
Set the size of subtics in NDC
setSubTicLength(int, double) - Method in class jhplot.HPlot
Sets the length of the subticks.
setSubTicLength(double) - Method in class jhplot.HPlot
Sets the length of the subticks for all axises.
setSubTicLength(int, double) - Method in class jhplot.HPlot2D
Sets the length of the sub-ticks.
setSubTicNumber(int, int) - Method in class jhplot.HPlot
Sets the number of subticks between ticks.
setSubVector(int, RealVector) - Method in class org.apache.commons.math.linear.AbstractRealVector
Set a set of consecutive elements.
setSubVector(int, double[]) - Method in class org.apache.commons.math.linear.AbstractRealVector
Set a set of consecutive elements.
setSubVector(int, FieldVector<T>) - Method in class org.apache.commons.math.linear.ArrayFieldVector
Set a set of consecutive elements.
setSubVector(int, T[]) - Method in class org.apache.commons.math.linear.ArrayFieldVector
Set a set of consecutive elements.
setSubVector(int, RealVector) - Method in class org.apache.commons.math.linear.ArrayRealVector
Set a set of consecutive elements.
setSubVector(int, double[]) - Method in class org.apache.commons.math.linear.ArrayRealVector
Set a set of consecutive elements.
setSubVector(int, FieldVector<T>) - Method in interface org.apache.commons.math.linear.FieldVector
Set a set of consecutive elements.
setSubVector(int, T[]) - Method in interface org.apache.commons.math.linear.FieldVector
Set a set of consecutive elements.
setSubVector(int, RealVector) - Method in class org.apache.commons.math.linear.OpenMapRealVector
Set a set of consecutive elements.
setSubVector(int, double[]) - Method in class org.apache.commons.math.linear.OpenMapRealVector
Set a set of consecutive elements.
setSubVector(int, RealVector) - Method in interface org.apache.commons.math.linear.RealVector
Set a set of consecutive elements.
setSubVector(int, double[]) - Method in interface org.apache.commons.math.linear.RealVector
Set a set of consecutive elements.
setSubVector(int, FieldVector<T>) - Method in class org.apache.commons.math.linear.SparseFieldVector
Set a set of consecutive elements.
setSubVector(int, T[]) - Method in class org.apache.commons.math.linear.SparseFieldVector
Set a set of consecutive elements.
setSumImpl(UnivariateStatistic) - Method in class org.apache.commons.math.stat.descriptive.DescriptiveStatistics
Sets the implementation for the sum.
setSumImpl(StorelessUnivariateStatistic[]) - Method in class org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics
Sets the implementation for the Sum.
setSumImpl(StorelessUnivariateStatistic) - Method in class org.apache.commons.math.stat.descriptive.SummaryStatistics
Sets the implementation for the Sum.
setSumImpl(StorelessUnivariateStatistic[]) - Method in class org.apache.commons.math.stat.descriptive.SynchronizedMultivariateSummaryStatistics
Sets the implementation for the Sum.
setSumImpl(StorelessUnivariateStatistic) - Method in class org.apache.commons.math.stat.descriptive.SynchronizedSummaryStatistics
Sets the implementation for the Sum.
setSumLogImpl(StorelessUnivariateStatistic) - Method in class org.apache.commons.math.stat.descriptive.moment.GeometricMean
Sets the implementation for the sum of logs.
setSumLogImpl(StorelessUnivariateStatistic[]) - Method in class org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics
Sets the implementation for the sum of logs.
setSumLogImpl(StorelessUnivariateStatistic) - Method in class org.apache.commons.math.stat.descriptive.SummaryStatistics
Sets the implementation for the sum of logs.
setSumLogImpl(StorelessUnivariateStatistic[]) - Method in class org.apache.commons.math.stat.descriptive.SynchronizedMultivariateSummaryStatistics
Sets the implementation for the sum of logs.
setSumLogImpl(StorelessUnivariateStatistic) - Method in class org.apache.commons.math.stat.descriptive.SynchronizedSummaryStatistics
Sets the implementation for the sum of logs.
setSumsqImpl(UnivariateStatistic) - Method in class org.apache.commons.math.stat.descriptive.DescriptiveStatistics
Sets the implementation for the sum of squares.
setSumsqImpl(StorelessUnivariateStatistic[]) - Method in class org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics
Sets the implementation for the sum of squares.
setSumsqImpl(StorelessUnivariateStatistic) - Method in class org.apache.commons.math.stat.descriptive.SummaryStatistics
Sets the implementation for the sum of squares.
setSumsqImpl(StorelessUnivariateStatistic[]) - Method in class org.apache.commons.math.stat.descriptive.SynchronizedMultivariateSummaryStatistics
Sets the implementation for the sum of squares.
setSumsqImpl(StorelessUnivariateStatistic) - Method in class org.apache.commons.math.stat.descriptive.SynchronizedSummaryStatistics
Sets the implementation for the sum of squares.
setSurface() - Method in class jhplot.HPlot3D
Set surface type of plot
setSurface(boolean) - Method in class jhplot.HPlot3D
Set surface type of plot
setSymbol(int) - Method in class jhplot.DrawOptions
Set symbol types.
setSymbolColor(Color) - Method in class jhplot.P2D
Sets symbol color
setSymbolSize(int) - Method in class jhplot.DrawOptions
Set the size of the symbols
setSymbolSize(int) - Method in class jhplot.P2D
Sets the symbol size
setSymm(boolean) - Method in class jhplot.jadraw.JaLineObject
Sets the symm property of this line object.
setT(double) - Method in class hephysics.vec.HepLorentzVector
Set time
setText(String) - Method in class jhplot.HKey
Sets a text of the label.
setText(String) - Method in class jhplot.HLabel
Sets a text of the label.
setText(String) - Method in class jhplot.HLabelEq
Sets a equation text of the label.
setText(String[]) - Method in class jhplot.HMLabel
Sets the text of the label.
setText(String) - Method in class jhplot.jadraw.JaKey
Sets the textString property of this text object.
setText(String) - Method in class jhplot.jadraw.JaText
Sets the textString property of this text object.
setText(String) - Method in class jhplot.jadraw.JaTextBox
Sets the textString property of this text object.
setText(String) - Method in class jhplot.shapes.Text
Set a string with the text
setTextBottom(String, Font, Color) - Method in class jhplot.GHPanel
Sets a text on global bottom margin.
setTextBottom(String, Font) - Method in class jhplot.GHPanel
Sets a text on global bottom margin using black color.
setTextBottom(String) - Method in class jhplot.GHPanel
Set the global bottom margin with default attributes.
setTextBottom(String, double) - Method in class jhplot.GHPanel
Set the global bottom margin with default attributes.
setTextBottomColorBack(Color) - Method in class jhplot.GHPanel
Get the background color of bottom margin
setTextLeft(String, Font, Color) - Method in class jhplot.GHPanel
Sets a text on global left margin
setTextLeft(String, Font) - Method in class jhplot.GHPanel
Sets a text on global left margin using black color.
setTextLeft(String) - Method in class jhplot.GHPanel
Set the global left margin with default attributes.
setTextLeft(String, double) - Method in class jhplot.GHPanel
Set the global left margin with default attributes.
setTextLeftColorBack(Color) - Method in class jhplot.GHPanel
Get the background color of left margin
setTextPosBottomX(double) - Method in class jhplot.GHPanel
Set the text position in X relative to width for bottom margin
setTextPosBottomY(double) - Method in class jhplot.GHPanel
Set the text position in Y relative to width for bottom margin
setTextPosLeftX(double) - Method in class jhplot.GHPanel
Set the text position in X relative to width for left margin
setTextPosLeftY(double) - Method in class jhplot.GHPanel
Set the text position in Y relative to width for left margin
setTextPosRightX(double) - Method in class jhplot.GHPanel
Set the text position in X relative to width for right margin
setTextPosRightY(double) - Method in class jhplot.GHPanel
Set the text position in Y relative to width for right margin
setTextPosTopX(double) - Method in class jhplot.GHPanel
Set the text position in X relative to width for top margin
setTextPosTopY(double) - Method in class jhplot.GHPanel
Set the text position in Y relative to width for top margin
setTextRight(String, Font, Color) - Method in class jhplot.GHPanel
Sets a text on global right margin
setTextRight(String, Font) - Method in class jhplot.GHPanel
Sets a text on global right margin using black color.
setTextRight(String) - Method in class jhplot.GHPanel
Set the global right margin with default attributes.
setTextRight(String, double) - Method in class jhplot.GHPanel
Set the global right margin with default attributes.
setTextRightColorBack(Color) - Method in class jhplot.GHPanel
Get the background color of left margin
setTextRotationBottom(int) - Method in class jhplot.GHPanel
Set the text rotation for bottom margin
setTextRotationLeft(int) - Method in class jhplot.GHPanel
Set the text rotation for left margin
setTextRotationRight(int) - Method in class jhplot.GHPanel
Set the text rotation for right margin
setTextRotationTop(int) - Method in class jhplot.GHPanel
Set the text rotation for top margin
setTextString(String) - Method in class jhplot.jadraw.JaLatexText
Sets the textString property of this text object.
setTextTop(String, Font, Color) - Method in class jhplot.GHPanel
Sets a text on global top margin
setTextTop(String, Font) - Method in class jhplot.GHPanel
Sets a text on global top margin using black color.
setTextTop(String) - Method in class jhplot.GHPanel
Set the global top margin with default attributes.
setTextTopColorBack(Color) - Method in class jhplot.GHPanel
Get the background color of top margin
setTheme(String) - Method in class jhplot.HChart
Set a custom theme for chart..
setThetaPhiP(double, double, double) - Method in class hephysics.particle.LParticle
Set HepLorentzVector using theta angle, phi and total momentum.
setTicColor(int, Color) - Method in class jhplot.HPlot
Sets the color used by the labels drawn at each tick.
setTicColor(Color) - Method in class jhplot.HPlot
Sets the color used by the labels drawn at each tick (for all axises).
setTicFont(int, Font) - Method in class jhplot.HPlot
Sets the font used by the labels drawn at each tick.
setTicFont(Font) - Method in class jhplot.HPlot
Sets the font used by the labels drawn at each tick (for all axises).
setTicFont(Font) - Method in class jhplot.HPlot3D
Set font for the ticks
setTicFont(Font) - Method in class jhplot.HPlotJa
Sets the font used by the labels drawn at each tick.
setTicksLabels(int, boolean) - Method in class jhplot.HPlotJa
Set tick labels for the current pad
setTicksLabels(int, boolean) - Method in class jhplot.jadraw.JaAxes
Set or not tick labels
setTicksNumber(int, int) - Method in class jhplot.jadraw.JaAxes
Set the number of main ticks.
setTicksSize(int, double) - Method in class jhplot.jadraw.JaAxes
Set the size of the ticks in NDC format.
setTicLabel(String[][]) - Method in class jhplot.jadraw.JaAxes
 
setTicLabels(boolean) - Method in class jhplot.HPlot
Sets whether all tick-labels will be written or not.
setTicLabels(int, boolean) - Method in class jhplot.HPlot
Sets whether tick-labels will be written or not.
setTicLength(int, double) - Method in class jhplot.HPlot
Sets the length of the ticks.
setTicLength(double) - Method in class jhplot.HPlot
Sets the length of the ticks for all axes.
setTicOffset(double) - Method in class jhplot.HPlot3D
Set tick offset
setTics(int, boolean) - Method in class jhplot.HPlot
Sets whether or not to draw ticks (little lines on the axes).
setTics(boolean) - Method in class jhplot.HPlot
Sets whether or not to draw ticks (little lines on the axes) for all axis.
setTicsMirror(int, boolean) - Method in class jhplot.HPlot
Sets true or false to draw mirror ticks
setTicsMirror(boolean) - Method in class jhplot.HPlot
Sets true or false to draw mirror ticks for X and Y
setTicsRotate(int, boolean) - Method in class jhplot.HPlot
Defines whether we should rotate ticks.
setTitle(String) - Method in class hep.aida.ref.fitter.InternalFitFunction
 
setTitle(String) - Method in class hep.aida.ref.function.AbstractDevModelFunction
 
setTitle(String) - Method in class hep.aida.ref.function.AbstractIFunction
 
setTitle(String) - Method in class hep.aida.ref.function.BaseModelFunction
 
setTitle(String) - Method in class hep.aida.ref.function.FunctionCore
 
setTitle(String) - Method in class hep.aida.ref.function.SumOfFunctions
 
setTitle(String) - Method in class hep.aida.ref.histogram.AbstractBaseHistogram
Set the histogram title.
setTitle(String) - Method in class hep.aida.ref.histogram.DataPointSet
 
setTitle(String) - Method in class hep.aida.ref.tuple.AbstractTuple
 
setTitle(String) - Method in class jhplot.DrawOptions
Sets the title
setTitle(String) - Method in class jhplot.F1D
Sets a new title of a function
setTitle(String) - Method in class jhplot.F2D
Set a title
setTitle(String) - Method in class jhplot.F3D
Set a title
setTitle(String) - Method in class jhplot.FND
Sets a name of the function, i.e.
setTitle(String) - Method in class jhplot.FPR
Set a title
setTitle(String) - Method in class jhplot.H1D
Sets the title
setTitle(String) - Method in class jhplot.H2D
Set title
setTitle(String) - Method in class jhplot.H3D
Sets the title
setTitle(String) - Method in class jhplot.HProf1D
Sets the title
setTitle(String) - Method in class jhplot.HProf2D
Set title
setTitle(String) - Method in class jhplot.P0D
Set a new title
setTitle(String) - Method in class jhplot.P0I
Set a new title
setTitle(String) - Method in class jhplot.P1D
Set a new title
setTitle(String) - Method in class jhplot.P2D
Set a new title
setTitle(String) - Method in class jhplot.P3D
Set a new title
setTitle(String) - Method in class jhplot.PND
Set a new title
setTitle(String) - Method in class jhplot.PNI
Set a new title
setTitle(String) - Method in class jhplot.SPlot
Set global title for this plot.
setTitle(String) - Method in class jhpro.stat.DataKeeper
 
setTitleFont(String) - Method in class jhplot.SPlot
Set the title font.
setTrans(float, float, float) - Method in class jhplot.v3d.Position
 
setTransparency(float) - Method in class jhplot.jadraw.JaBlob
Set transparency of this object
setTransparency(float) - Method in class jhplot.jadraw.JaBox
Set transparency of this object
setTransparency(float) - Method in class jhplot.jadraw.JaLine
Set transparency of this object
setTransparency(double) - Method in class jhplot.shapes.HShape
Get the transparency level
setTSB(double[]) - Method in class jhpro.stat.ConfidenceLevel
 
setTSD(double) - Method in class jhpro.stat.ConfidenceLevel
 
setTSS(double[]) - Method in class jhpro.stat.ConfidenceLevel
 
setType(int) - Method in class hep.aida.ref.function.Range
Set the IRange type.
setType(int) - Method in class hephysics.particle.HEParticle
Set type ID
setType(int) - Method in class jhplot.DrawOptions
Set type of the object Should be: LinePars.H1D, LineParsF1D, LineParsF1D
setType(Class) - Method in class jhplot.io.csv.bean.HeaderColumnNameMappingStrategy
 
setType(int) - Method in class jhplot.jadraw.JaKey
Set type of this object
setType(int) - Method in class jhplot.jadraw.JaText
Set identification type for this text label
setType(int) - Method in class jhplot.jadraw.JaTextBox
Set identification number for this text object
setType(int) - Method in class jhplot.shapes.Arrow
Set the type of arrow: 1,2,3
setUnknownDistributionChiSquareTest(UnknownDistributionChiSquareTest) - Static method in class org.apache.commons.math.stat.inference.TestUtils
Deprecated. 2.2 will be removed in 3.0 - not compatible with use from multiple threads
setUpper(double) - Method in class jhplot.math.num.pdf.Uniform
Modify the upper bound parameter.
setUpperBound(double) - Method in class hep.aida.ref.fitter.FitParameterSettings
 
setUpperBound(double) - Method in class hep.aida.ref.function.Range
Set the upper bound.
setUpperEdge(double) - Method in class hep.aida.ref.histogram.Cloud1D
Set the Cloud's upper edge
setUpperEdgeX(double) - Method in class hep.aida.ref.histogram.Cloud2D
Set the Cloud's x upper edge
setUpperEdgeX(double) - Method in class hep.aida.ref.histogram.Cloud3D
Set the Cloud's x upper edge
setUpperEdgeY(double) - Method in class hep.aida.ref.histogram.Cloud2D
Set the Cloud's y upper edge
setUpperEdgeY(double) - Method in class hep.aida.ref.histogram.Cloud3D
Set the Cloud's y upper edge
setUpperEdgeZ(double) - Method in class hep.aida.ref.histogram.Cloud3D
Set the Cloud's z upper edge
setUseFunctionGradient(boolean) - Method in class hep.aida.ref.fitter.Fitter
 
setV(double, double, double) - Method in class hephysics.vec.Hep3Vector
Set vector
setV3(Hep3Vector) - Method in class hephysics.vec.HepLorentzVector
Set 3-vector
setV3(double, double, double) - Method in class hephysics.vec.HepLorentzVector
Set 3-vector position or Px,Py,Pz
setVal(double) - Method in class jhplot.math.ValueErr
Set value
setValid(AIDAListener) - Method in class hep.aida.ref.event.AIDAObservable
 
setValid(AIDAListener) - Method in interface hep.aida.ref.event.IsObservable
 
setValidEntries(int) - Method in class hep.aida.ref.histogram.Histogram
 
setValidEntries(int) - Method in class hep.aida.ref.histogram.Profile1D
 
setValidEntries(int) - Method in class hep.aida.ref.histogram.Profile2D
 
setValidEntries(int) - Method in class jhplot.H1D
Sets number of valid entries.
setValidEntries(int) - Method in class jhplot.H2D
Set in-range entries.
setValidEntries(int) - Method in class jhplot.HProf1D
Sets number of valid entries.
setValidEntries(int) - Method in class jhplot.HProf2D
Set in-range entries.
setValidForAll() - Method in class hep.aida.ref.event.AIDAObservable
 
setValue(String, String) - Method in class hep.aida.ref.Annotation
Set value for a given key.
setValue(double) - Method in class hep.aida.ref.histogram.Measurement
 
setValue(int, Value) - Method in class hep.aida.ref.tuple.TupleColumn
 
setValue(int, Value) - Method in class hep.aida.ref.tuple.TupleColumn.TupleColumnBoolean
 
setValue(int, Value) - Method in class hep.aida.ref.tuple.TupleColumn.TupleColumnByte
 
setValue(int, Value) - Method in class hep.aida.ref.tuple.TupleColumn.TupleColumnChar
 
setValue(int, Value) - Method in class hep.aida.ref.tuple.TupleColumn.TupleColumnDouble
 
setValue(int, Value) - Method in class hep.aida.ref.tuple.TupleColumn.TupleColumnFloat
 
setValue(int, Value) - Method in class hep.aida.ref.tuple.TupleColumn.TupleColumnFolder
 
setValue(int, Value) - Method in class hep.aida.ref.tuple.TupleColumn.TupleColumnInt
 
setValue(int, Value) - Method in class hep.aida.ref.tuple.TupleColumn.TupleColumnLong
 
setValue(int, Value) - Method in class hep.aida.ref.tuple.TupleColumn.TupleColumnObject
 
setValue(int, Value) - Method in class hep.aida.ref.tuple.TupleColumn.TupleColumnShort
 
setValue(int, Value) - Method in class hep.aida.ref.tuple.TupleColumn.TupleColumnString
 
setValue(int, double) - Method in class jhpro.stat.DataKeeper
Set a value at index
setValue(double) - Method in class org.apache.commons.math.linear.RealVector.Entry
Set the value of the entry.
setValueAt(Object, int, int) - Method in class jhplot.SPsheet
This method sets the value of the cell specified with these coordinates to aValue.
setValues(double[]) - Method in class jhpro.stat.DataKeeper
 
setValuesFileURL(String) - Method in class org.apache.commons.math.random.ValueServer
Sets the valuesFileURL using a string URL representation
setValuesFileURL(URL) - Method in class org.apache.commons.math.random.ValueServer
Sets the valuesFileURL
setVar(double[]) - Method in class hep.aida.ref.function.JELCompiledExpression.ValueProvider
 
setVariableNames(String[]) - Method in class hep.aida.ref.function.AbstractDevModelFunction
 
setVarianceDirection(SemiVariance.Direction) - Method in class org.apache.commons.math.stat.descriptive.moment.SemiVariance
Sets the variance direction
setVarianceImpl(UnivariateStatistic) - Method in class org.apache.commons.math.stat.descriptive.DescriptiveStatistics
Sets the implementation for the variance.
setVarianceImpl(StorelessUnivariateStatistic) - Method in class org.apache.commons.math.stat.descriptive.SummaryStatistics
Sets the implementation for the variance.
setVarianceImpl(StorelessUnivariateStatistic) - Method in class org.apache.commons.math.stat.descriptive.SynchronizedSummaryStatistics
Sets the implementation for the variance.
setVertexPts(double, double, double, double, double, double) - Method in class jhplot.jadraw.JaVertexT5
Sets the points of this vertex.
setWhoAm(int) - Method in class jhplot.shapes.HShape
Set primitive type
setWholeFormat(NumberFormat) - Method in class org.apache.commons.math.fraction.ProperBigFractionFormat
Modify the whole format.
setWholeFormat(NumberFormat) - Method in class org.apache.commons.math.fraction.ProperFractionFormat
Modify the whole format.
setWindowSize(int) - Method in class org.apache.commons.math.stat.descriptive.DescriptiveStatistics
WindowSize controls the number of values which contribute to the reported statistics.
setWindowSize(int) - Method in class org.apache.commons.math.stat.descriptive.SynchronizedDescriptiveStatistics
WindowSize controls the number of values which contribute to the reported statistics.
setWrap(boolean) - Method in class jhplot.SPlot
Specify whether the X axis is wrapped.
setX(double) - Method in class hephysics.vec.Hep3Vector
Set X component
setX(int) - Method in class jhplot.jadraw.JaObject
Sets the x coordinate of this object.
setX1(int) - Method in class jhplot.jadraw.JaArcObject
Sets the x coordinate of the first click point of this arc.
setX1(double) - Method in class jhplot.jadraw.JaVertexT5
Sets the x coordinate of the first click point of this vertex.
setX2(int) - Method in class jhplot.jadraw.JaArcObject
Sets the x coordinate of the second click point of this arc.
setX2(double) - Method in class jhplot.jadraw.JaVertexT5
Sets the x coordinate of the second click point of this vertex.
setX3(double) - Method in class jhplot.jadraw.JaVertexT5
Sets the x coordinate of the third click point of this vertex.
setXLog(boolean) - Method in class jhplot.SPlot
Specify whether the X axis is drawn with a logarithmic scale.
setXRange(double, double) - Method in class jhplot.SPlot
Set the X (horizontal) range of the plot.
setY(double) - Method in class hephysics.vec.Hep3Vector
Y component
setY(int) - Method in class jhplot.jadraw.JaObject
Sets the y coordinate of this object.
setY1(int) - Method in class jhplot.jadraw.JaArcObject
Sets the y coordinate of the first click point of this arc.
setY1(double) - Method in class jhplot.jadraw.JaVertexT5
Sets the y coordinate of the first click point of this vertex.
setY2(int) - Method in class jhplot.jadraw.JaArcObject
Sets the y coordinate of the second click point of this arc.
setY2(double) - Method in class jhplot.jadraw.JaVertexT5
Sets the y coordinate of the second click point of this vertex.
setY3(double) - Method in class jhplot.jadraw.JaVertexT5
Sets the y coordinate of the third click point of this vertex.
setYLog(boolean) - Method in class jhplot.SPlot
Specify whether the Y axis is drawn with a logarithmic scale.
setYRange(double, double) - Method in class jhplot.SPlot
Set the Y (vertical) range of the plot.
setZ(double) - Method in class hephysics.vec.Hep3Vector
Set Z component
setZoomIn(double) - Method in class jhplot.HView3D
Zoom in the current plot.
setZoomOut(double) - Method in class jhplot.HView3D
Zoom out the current plot.
shift(double) - Method in class jhplot.H1D
Shift all bins by some value
shift(double) - Method in class jhplot.HProf1D
Shift all bins by some value
shift() - Method in class org.apache.commons.math.ode.sampling.AbstractStepInterpolator
Shift one step forward.
show() - Method in class jhplot.HNeuralNet
Show Net in EncodeDocument.
show(H1D) - Method in class jhplot.HTable
Show a H1D histogram.
show(F1D) - Method in class jhplot.HTable
Show a function
show(P0D) - Method in class jhplot.HTable
show P0D data
show(P1D) - Method in class jhplot.HTable
Show P1D data
show(P2D) - Method in class jhplot.HTable
show P2D data
show(P3D) - Method in class jhplot.HTable
show P3D data
showAllGraph(boolean) - Method in class jhplot.HPlot
Set the all graphs visible or not
showAttributes() - Method in class jminhep.cluster.DataPoint
Print all attributes of a data point
showAxis(int) - Method in class jhplot.HPlotJa
Show a particular axis (no mirror)
showBorder(boolean) - Method in class jhplot.GHMargin
Show or not the blue borders during editing.
showBorderNoUpdate(boolean) - Method in class jhplot.GHMargin
Show or not the blue borders during editing.
showBorders(boolean) - Method in class jhplot.GHPanel
Show borders of margins for edditing
showBrowser(String) - Method in class jhplot.HPlotJa
Show a browser with objects loaded from ROOT or AIDA objects.
showEditor() - Method in class jhplot.HPlotJa
Show object editor on the left of the canvas.
showEditor(boolean) - Method in class jhplot.HPlotJa
Show object editor (or not)
showGraph(boolean) - Method in class jhplot.HPlot
Set the current graph visible or not
showIt(boolean) - Method in class jhplot.io.HFileBrowser
Show the browser on the left of Canvas.
showIt(boolean) - Method in class jhplot.io.PFileBrowser
Show the browser on the left of Canvas.
showKey(boolean) - Method in class jhplot.HPlotJa
Show or not keys for the current plot
showMessage(String) - Static method in class jhplot.JHPlot
Show a text on status bar permanently.
showMouse(String, double, double, double, double, int, int) - Static method in class jhplot.JHPlot
Show mouse positions
showNetwork() - Method in class jhplot.HNeuralNet
Show a neural net in a frame
showStatusBarText(String) - Static method in class jhplot.JHPlot
Show a text on status bar for 5 sec.
showTest() - Method in class jhplot.HPlot2D
 
SHPlot - Class in jhplot
A class to create a 2D canvas with several plots.
SHPlot3D - Class in jhplot
A class to create a 3D canvas to display H2D and F2D objects.
SHPlotJa - Class in jhplot
A class to create a canvas with several plots and Feynman diagrams.
sign(double, double) - Static method in class hep.aida.ref.function.GaussianCore2DNorm
 
sign(byte) - Static method in class org.apache.commons.math.util.MathUtils
Returns the sign for byte value x.
sign(double) - Static method in class org.apache.commons.math.util.MathUtils
Returns the sign for double precision x.
sign(float) - Static method in class org.apache.commons.math.util.MathUtils
Returns the sign for float value x.
sign(int) - Static method in class org.apache.commons.math.util.MathUtils
Returns the sign for int value x.
sign(long) - Static method in class org.apache.commons.math.util.MathUtils
Returns the sign for long value x.
sign(short) - Static method in class org.apache.commons.math.util.MathUtils
Returns the sign for short value x.
SIGNUM - Static variable in class org.apache.commons.math.analysis.ComposableFunction
The FastMath.signum method wrapped as a ComposableFunction.
signum(double) - Static method in class org.apache.commons.math.util.FastMath
Compute the signum of a number.
signum(float) - Static method in class org.apache.commons.math.util.FastMath
Compute the signum of a number.
SimpleEstimationProblem - Class in org.apache.commons.math.estimation
Deprecated. as of 2.0, everything in package org.apache.commons.math.estimation has been deprecated and replaced by package org.apache.commons.math.optimization.general
SimpleEstimationProblem() - Constructor for class org.apache.commons.math.estimation.SimpleEstimationProblem
Deprecated. Build an empty instance without parameters nor measurements.
SimpleMD5 - Class in jhplot.security
 
SimpleMD5() - Constructor for class jhplot.security.SimpleMD5
 
SimpleRealPointChecker - Class in org.apache.commons.math.optimization
Simple implementation of the RealConvergenceChecker interface using only point coordinates.
SimpleRealPointChecker() - Constructor for class org.apache.commons.math.optimization.SimpleRealPointChecker
Build an instance with default threshold.
SimpleRealPointChecker(double, double) - Constructor for class org.apache.commons.math.optimization.SimpleRealPointChecker
Build an instance with a specified threshold.
SimpleRegression - Class in org.apache.commons.math.stat.regression
Estimates an ordinary least squares regression model with one independent variable.
SimpleRegression() - Constructor for class org.apache.commons.math.stat.regression.SimpleRegression
Create an empty SimpleRegression instance
SimpleRegression(TDistribution) - Constructor for class org.apache.commons.math.stat.regression.SimpleRegression
Deprecated. in 2.2 (to be removed in 3.0). Please use the other constructor instead.
SimpleRegression(int) - Constructor for class org.apache.commons.math.stat.regression.SimpleRegression
Create an empty SimpleRegression.
SimpleScalarValueChecker - Class in org.apache.commons.math.optimization
Simple implementation of the RealConvergenceChecker interface using only objective function values.
SimpleScalarValueChecker() - Constructor for class org.apache.commons.math.optimization.SimpleScalarValueChecker
Build an instance with default threshold.
SimpleScalarValueChecker(double, double) - Constructor for class org.apache.commons.math.optimization.SimpleScalarValueChecker
Build an instance with a specified threshold.
SimpleVectorialPointChecker - Class in org.apache.commons.math.optimization
Simple implementation of the VectorialConvergenceChecker interface using only point coordinates.
SimpleVectorialPointChecker() - Constructor for class org.apache.commons.math.optimization.SimpleVectorialPointChecker
Build an instance with default threshold.
SimpleVectorialPointChecker(double, double) - Constructor for class org.apache.commons.math.optimization.SimpleVectorialPointChecker
Build an instance with a specified threshold.
SimpleVectorialValueChecker - Class in org.apache.commons.math.optimization
Simple implementation of the VectorialConvergenceChecker interface using only objective function values.
SimpleVectorialValueChecker() - Constructor for class org.apache.commons.math.optimization.SimpleVectorialValueChecker
Build an instance with default threshold.
SimpleVectorialValueChecker(double, double) - Constructor for class org.apache.commons.math.optimization.SimpleVectorialValueChecker
Build an instance with a specified threshold.
SimplexSolver - Class in org.apache.commons.math.optimization.linear
Solves a linear problem using the Two-Phase Simplex Method.
SimplexSolver() - Constructor for class org.apache.commons.math.optimization.linear.SimplexSolver
Build a simplex solver with default settings.
SimplexSolver(double) - Constructor for class org.apache.commons.math.optimization.linear.SimplexSolver
Build a simplex solver with a specified accepted amount of error
simplify() - Method in class jhplot.FND
Treat the function as complex.
simpson(int, F1D, double, double) - Static method in class jhplot.math.Numeric
Numerical integration using Simpson's rule.
SimpsonIntegrator - Class in org.apache.commons.math.analysis.integration
Implements the Simpson's Rule for integration of real univariate functions.
SimpsonIntegrator(UnivariateRealFunction) - Constructor for class org.apache.commons.math.analysis.integration.SimpsonIntegrator
Deprecated. as of 2.0 the integrand function is passed as an argument to the SimpsonIntegrator.integrate(UnivariateRealFunction, double, double)method.
SimpsonIntegrator() - Constructor for class org.apache.commons.math.analysis.integration.SimpsonIntegrator
Construct an integrator.
SimpsonsIntegrator - Class in jhplot.math.num.integration
The extended Simpson's rule for numerically integrating functions.
SimpsonsIntegrator(Function) - Constructor for class jhplot.math.num.integration.SimpsonsIntegrator
Create an integrator for the given function.
SimpsonsIntegrator(Function, int, double) - Constructor for class jhplot.math.num.integration.SimpsonsIntegrator
Create an integrator for the given function.
sin() - Method in class jhplot.math.Complex
Sine of this Complex number (doesn't change this Complex number).
sin(ValueErr) - Static method in class jhplot.math.ValueErr
sine of an ValueErr number (trigonometric function)
SIN - Static variable in class org.apache.commons.math.analysis.ComposableFunction
The FastMath.sin method wrapped as a ComposableFunction.
sin() - Method in class org.apache.commons.math.complex.Complex
Compute the sine of this complex number.
sin(Dfp) - Static method in class org.apache.commons.math.dfp.DfpMath
computes the sine of the argument.
sin(double) - Static method in class org.apache.commons.math.util.FastMath
Sine function.
singular(double[][]) - Static method in class jhplot.math.LinearAlgebra
 
SingularMatrixException - Exception in org.apache.commons.math.linear
Thrown when a matrix is singular.
SingularMatrixException() - Constructor for exception org.apache.commons.math.linear.SingularMatrixException
Construct an exception with a default message.
SingularValueDecomposition - Class in jhplot.math
Singular Value Decomposition.
SingularValueDecomposition(double[][]) - Constructor for class jhplot.math.SingularValueDecomposition
Construct the singular value decomposition
SingularValueDecomposition - Interface in org.apache.commons.math.linear
An interface to classes that implement an algorithm to calculate the Singular Value Decomposition of a real matrix.
SingularValueDecompositionImpl - Class in org.apache.commons.math.linear
Calculates the compact Singular Value Decomposition of a matrix.
SingularValueDecompositionImpl(RealMatrix) - Constructor for class org.apache.commons.math.linear.SingularValueDecompositionImpl
Calculates the compact Singular Value Decomposition of the given matrix.
sinh() - Method in class jhplot.math.Complex
Hyperbolic sine of this Complex number (doesn't change this Complex number).
sinh(double) - Static method in class jhplot.math.num.special.Trigonometric
Returns the hyperbolic sine of x.
sinh(ValueErr) - Static method in class jhplot.math.ValueErr
Hyperbolic sine of a value with error
SINH - Static variable in class org.apache.commons.math.analysis.ComposableFunction
The FastMath.sinh method wrapped as a ComposableFunction.
sinh() - Method in class org.apache.commons.math.complex.Complex
Compute the hyperbolic sine of this complex number.
sinh(double) - Static method in class org.apache.commons.math.util.FastMath
Compute the hyperbolic sine of a number.
sinh(double) - Static method in class org.apache.commons.math.util.MathUtils
Returns the hyperbolic sine of x.
sinPhi() - Method in class hephysics.vec.SpacePoint
sin(phi)
sinTheta() - Method in class hephysics.vec.SpacePoint
sin(theta)
size() - Method in class hep.aida.ref.Annotation
Get the number of items in the Annotation.
size() - Method in class hep.aida.ref.function.RangeSet
Returns current number of disjoint ranges (non-overlapping intervals)
size() - Method in class hep.aida.ref.histogram.DataPointSet
 
size() - Method in class jhplot.io.EFile
Get the number of events stored in the file.
size() - Method in class jhplot.io.PFile
Get number of objects stored in the file.
size() - Method in class jhplot.math.io.LEDataOutputStream
 
size() - Method in class jhplot.P0D
Return the P10 data length.
size() - Method in class jhplot.P0I
Return the P10 data length.
size() - Method in class jhplot.P1D
Return the length of the data vector.
size() - Method in class jhplot.P2D
Return the length of the data vector.
size() - Method in class jhplot.P3D
Return the length of the data vector.
size() - Method in class jhplot.PND
Data size (number of rows)
size() - Method in class jhplot.PNI
Data size (number of rows)
size() - Method in class jhplot.VHolder
Return the size of the data, i.e.
size() - Method in class org.apache.commons.math.util.OpenIntToDoubleHashMap
Get the number of elements stored in the map.
size() - Method in class org.apache.commons.math.util.OpenIntToFieldHashMap
Get the number of elements stored in the map.
sizeData() - Method in class jhplot.HPlot
The data size, i.e.
skew() - Method in class jhplot.P0D
Returns the skew, which is moment(3,mean()) / standardDeviation() Run getStat(0 for evaluation
skew() - Method in class jhplot.P0I
Returns the skew, which is moment(3,mean()) / standardDeviation() Run getStat(0 for evaluation
Skewness - Class in org.apache.commons.math.stat.descriptive.moment
Computes the skewness of the available values.
Skewness() - Constructor for class org.apache.commons.math.stat.descriptive.moment.Skewness
Constructs a Skewness
Skewness(ThirdMoment) - Constructor for class org.apache.commons.math.stat.descriptive.moment.Skewness
Constructs a Skewness with an external moment
Skewness(Skewness) - Constructor for class org.apache.commons.math.stat.descriptive.moment.Skewness
Copy constructor, creates a new Skewness identical to the original
skip(int) - Method in class hep.aida.ref.tuple.AbstractTuple
 
skip(int) - Method in class hep.aida.ref.tuple.ChainedTuple
Skips rows.
skip(int) - Method in interface hep.aida.ref.tuple.FTupleCursor
 
skip(int) - Method in class hep.aida.ref.tuple.TupleCursor
 
skipBytes(int) - Method in class jhplot.math.io.LEDataInputStream
 
skipBytes(int) - Method in class jhplot.math.io.LERandomAccessFile
 
skp(HepLorentzVector) - Method in class hephysics.vec.HepLorentzVector
Useful: for x1*x2+y1*y2+z1*z2
sliceX(String, IHistogram2D, int) - Method in class hep.aida.ref.histogram.HistogramFactory
Slice parallel to the Y axis from a 2D histogram at bin indexY and one bin wide.
sliceX(String, IHistogram2D, int, int) - Method in class hep.aida.ref.histogram.HistogramFactory
Create a slice parallel to the X axis from a 2D histogram, between "indexY1" and "indexY2" (inclusive).
sliceXY(String, IHistogram3D, int, int) - Method in class hep.aida.ref.histogram.HistogramFactory
Create a slice perpendicular to the Z axis from a 3D histogram, between "indexZ1" and "indexZ2" (inclusive).
sliceXZ(String, IHistogram3D, int, int) - Method in class hep.aida.ref.histogram.HistogramFactory
Create a slice perpendicular to the Y axis from a 3D histogram, between "indexY1" and "indexY2" (inclusive).
sliceY(String, IHistogram2D, int) - Method in class hep.aida.ref.histogram.HistogramFactory
Slice parallel to the X axis from a 2D histogram at bin indexX and one bin wide.
sliceY(String, IHistogram2D, int, int) - Method in class hep.aida.ref.histogram.HistogramFactory
Create a slice parallel to the Y axis from a 2D histogram, between "indexX1" and "indexX2" (inclusive).
sliceYZ(String, IHistogram3D, int, int) - Method in class hep.aida.ref.histogram.HistogramFactory
Create a slice perpendicular to the X axis from a 3D histogram, between "indexX1" and "indexX2" (inclusive).
Slicing - Class in jhplot.math
BSD License
Slicing(double[][], int[], String) - Constructor for class jhplot.math.Slicing
Construct a Slice from a matrix and an orthogonal slicing.
Slicing(double[][], double[][]) - Constructor for class jhplot.math.Slicing
Construct a Slice from a matrix and an orthogonal slicing.
Slicing(double[][], double[][], double[][]) - Constructor for class jhplot.math.Slicing
Construct a Slice from a matrix and an orthogonal slicing.
Slicing(double[][], int[][]) - Constructor for class jhplot.math.Slicing
Construct a Slice from a matrix and an orthogonal slicing.
SLine(float, float) - Static method in class jhplot.jadraw.Diagram
A s-line object for scalar particles.
SLoop(float, float) - Static method in class jhplot.jadraw.Diagram
A s-loop for scalar particles.
smooth(double[], double[], double[]) - Method in class org.apache.commons.math.analysis.interpolation.LoessInterpolator
Compute a weighted loess fit on the data at the original abscissae.
smooth(double[], double[]) - Method in class org.apache.commons.math.analysis.interpolation.LoessInterpolator
Compute a loess fit on the data at the original abscissae.
smoothAverage(boolean, int) - Method in class jhplot.stat.Interpolator
Smooth data by averaging over a moving window.
smoothCubicSpline() - Method in class jhplot.stat.Interpolator
Perform a cubic interpolatory spline.
smoothGauss(double) - Method in class jhplot.stat.Interpolator
Computes a Gaussian smoothed version of data.
SmoothingBicubicSplineInterpolator - Class in org.apache.commons.math.analysis.interpolation
Deprecated. This class does not perform smoothing; the name is thus misleading. Please use BicubicSplineInterpolator instead. If smoothing is desired, a tentative implementation is provided in class SmoothingPolynomialBicubicSplineInterpolator. This class will be removed in math 3.0.
SmoothingBicubicSplineInterpolator() - Constructor for class org.apache.commons.math.analysis.interpolation.SmoothingBicubicSplineInterpolator
Deprecated.  
SmoothingPolynomialBicubicSplineInterpolator - Class in org.apache.commons.math.analysis.interpolation
Generates a bicubic interpolation function.
SmoothingPolynomialBicubicSplineInterpolator() - Constructor for class org.apache.commons.math.analysis.interpolation.SmoothingPolynomialBicubicSplineInterpolator
Default constructor.
SmoothingPolynomialBicubicSplineInterpolator(int) - Constructor for class org.apache.commons.math.analysis.interpolation.SmoothingPolynomialBicubicSplineInterpolator
 
SmoothingPolynomialBicubicSplineInterpolator(int, int) - Constructor for class org.apache.commons.math.analysis.interpolation.SmoothingPolynomialBicubicSplineInterpolator
 
smoothLoess(double, int, double, int) - Method in class jhplot.stat.Interpolator
Performs a Local Regression Algorithm (also Loess, Lowess) for interpolation of data points.
smoothLoess(double, int, double) - Method in class jhplot.stat.Interpolator
Performs a Local Regression Algorithm (also Loess, Lowess) for interpolation of data points.
smoothSpline() - Method in class jhplot.stat.Interpolator
Computes a natural (also known as "free", "unclamped") cubic spline interpolation for the data set.
SNAN - Static variable in class org.apache.commons.math.dfp.Dfp
Indicator value for signaling NaN.
softmax(int, double[]) - Static method in class jhplot.math.ArrayMathUtils
produces a double between 0 and 1 based on the given array x and the index that must be between (0 and x.length) For further information see also: http://www-ccs.ucsd.edu/matlab/toolbox/nnet/softmax.html
solve(double[][]) - Method in class jhplot.math.CholeskyDecomposition
Solve A*X = B
solve(double[][], double[][]) - Static method in class jhplot.math.LinearAlgebra
 
solve(double[][]) - Method in class jhplot.math.LUDecomposition
Solve A*X = B
solve(double[][]) - Method in class jhplot.math.QRDecomposition
Least squares solution of A*X = B
solve(double, double, double) - Method in class org.apache.commons.math.analysis.solvers.BisectionSolver
Deprecated. 
solve(double, double) - Method in class org.apache.commons.math.analysis.solvers.BisectionSolver
Deprecated. 
solve(UnivariateRealFunction, double, double, double) - Method in class org.apache.commons.math.analysis.solvers.BisectionSolver
Deprecated. in 2.2 (to be removed in 3.0).
solve(int, UnivariateRealFunction, double, double, double) - Method in class org.apache.commons.math.analysis.solvers.BisectionSolver
Solve for a zero in the given interval, start at startValue.
solve(int, UnivariateRealFunction, double, double) - Method in class org.apache.commons.math.analysis.solvers.BisectionSolver
Solve for a zero root in the given interval.
solve(UnivariateRealFunction, double, double) - Method in class org.apache.commons.math.analysis.solvers.BisectionSolver
Deprecated. in 2.2 (to be removed in 3.0).
solve(double, double) - Method in class org.apache.commons.math.analysis.solvers.BrentSolver
Deprecated. 
solve(double, double, double) - Method in class org.apache.commons.math.analysis.solvers.BrentSolver
Deprecated. 
solve(UnivariateRealFunction, double, double, double) - Method in class org.apache.commons.math.analysis.solvers.BrentSolver
Deprecated. in 2.2 (to be removed in 3.0).
solve(int, UnivariateRealFunction, double, double, double) - Method in class org.apache.commons.math.analysis.solvers.BrentSolver
Find a zero in the given interval with an initial guess.
solve(UnivariateRealFunction, double, double) - Method in class org.apache.commons.math.analysis.solvers.BrentSolver
Deprecated. in 2.2 (to be removed in 3.0).
solve(int, UnivariateRealFunction, double, double) - Method in class org.apache.commons.math.analysis.solvers.BrentSolver
Find a zero in the given interval.
solve(double, double) - Method in class org.apache.commons.math.analysis.solvers.LaguerreSolver
Deprecated. 
solve(double, double, double) - Method in class org.apache.commons.math.analysis.solvers.LaguerreSolver
Deprecated. 
solve(int, UnivariateRealFunction, double, double, double) - Method in class org.apache.commons.math.analysis.solvers.LaguerreSolver
Find a real root in the given interval with initial value.
solve(UnivariateRealFunction, double, double, double) - Method in class org.apache.commons.math.analysis.solvers.LaguerreSolver
Deprecated. in 2.2 (to be removed in 3.0).
solve(int, UnivariateRealFunction, double, double) - Method in class org.apache.commons.math.analysis.solvers.LaguerreSolver
Find a real root in the given interval.
solve(UnivariateRealFunction, double, double) - Method in class org.apache.commons.math.analysis.solvers.LaguerreSolver
Deprecated. in 2.2 (to be removed in 3.0).
solve(Complex[], Complex) - Method in class org.apache.commons.math.analysis.solvers.LaguerreSolver
Deprecated. in 2.2.
solve(double, double) - Method in class org.apache.commons.math.analysis.solvers.MullerSolver
Deprecated. 
solve(double, double, double) - Method in class org.apache.commons.math.analysis.solvers.MullerSolver
Deprecated. 
solve(int, UnivariateRealFunction, double, double, double) - Method in class org.apache.commons.math.analysis.solvers.MullerSolver
Find a real root in the given interval with initial value.
solve(UnivariateRealFunction, double, double, double) - Method in class org.apache.commons.math.analysis.solvers.MullerSolver
Deprecated. in 2.2 (to be removed in 3.0).
solve(int, UnivariateRealFunction, double, double) - Method in class org.apache.commons.math.analysis.solvers.MullerSolver
Find a real root in the given interval.
solve(UnivariateRealFunction, double, double) - Method in class org.apache.commons.math.analysis.solvers.MullerSolver
Deprecated. in 2.2 (to be removed in 3.0).
solve(double, double) - Method in class org.apache.commons.math.analysis.solvers.NewtonSolver
Deprecated. 
solve(double, double, double) - Method in class org.apache.commons.math.analysis.solvers.NewtonSolver
Deprecated. 
solve(int, UnivariateRealFunction, double, double) - Method in class org.apache.commons.math.analysis.solvers.NewtonSolver
Find a zero near the midpoint of min and max.
solve(UnivariateRealFunction, double, double) - Method in class org.apache.commons.math.analysis.solvers.NewtonSolver
Deprecated. in 2.2 (to be removed in 3.0).
solve(int, UnivariateRealFunction, double, double, double) - Method in class org.apache.commons.math.analysis.solvers.NewtonSolver
Find a zero near the value startValue.
solve(UnivariateRealFunction, double, double, double) - Method in class org.apache.commons.math.analysis.solvers.NewtonSolver
Deprecated. in 2.2 (to be removed in 3.0).
solve(double, double) - Method in class org.apache.commons.math.analysis.solvers.RiddersSolver
Deprecated. 
solve(double, double, double) - Method in class org.apache.commons.math.analysis.solvers.RiddersSolver
Deprecated. 
solve(int, UnivariateRealFunction, double, double, double) - Method in class org.apache.commons.math.analysis.solvers.RiddersSolver
Find a root in the given interval with initial value.
solve(UnivariateRealFunction, double, double, double) - Method in class org.apache.commons.math.analysis.solvers.RiddersSolver
Deprecated. in 2.2 (to be removed in 3.0).
solve(int, UnivariateRealFunction, double, double) - Method in class org.apache.commons.math.analysis.solvers.RiddersSolver
Find a root in the given interval.
solve(UnivariateRealFunction, double, double) - Method in class org.apache.commons.math.analysis.solvers.RiddersSolver
Deprecated. in 2.2 (to be removed in 3.0).
solve(double, double) - Method in class org.apache.commons.math.analysis.solvers.SecantSolver
Deprecated. 
solve(double, double, double) - Method in class org.apache.commons.math.analysis.solvers.SecantSolver
Deprecated. 
solve(int, UnivariateRealFunction, double, double, double) - Method in class org.apache.commons.math.analysis.solvers.SecantSolver
Find a zero in the given interval.
solve(UnivariateRealFunction, double, double, double) - Method in class org.apache.commons.math.analysis.solvers.SecantSolver
Deprecated. in 2.2 (to be removed in 3.0).
solve(int, UnivariateRealFunction, double, double) - Method in class org.apache.commons.math.analysis.solvers.SecantSolver
Find a zero in the given interval.
solve(UnivariateRealFunction, double, double) - Method in class org.apache.commons.math.analysis.solvers.SecantSolver
Deprecated. in 2.2 (to be removed in 3.0).
solve(double, double) - Method in interface org.apache.commons.math.analysis.solvers.UnivariateRealSolver
Deprecated. replaced by UnivariateRealSolver.solve(UnivariateRealFunction, double, double) since 2.0
solve(UnivariateRealFunction, double, double) - Method in interface org.apache.commons.math.analysis.solvers.UnivariateRealSolver
Deprecated. in 2.2 (to be removed in 3.0).
solve(double, double, double) - Method in interface org.apache.commons.math.analysis.solvers.UnivariateRealSolver
Deprecated. replaced by UnivariateRealSolver.solve(UnivariateRealFunction, double, double, double) since 2.0
solve(UnivariateRealFunction, double, double, double) - Method in interface org.apache.commons.math.analysis.solvers.UnivariateRealSolver
Deprecated. in 2.2 (to be removed in 3.0).
solve(int, UnivariateRealFunction, double, double) - Method in class org.apache.commons.math.analysis.solvers.UnivariateRealSolverImpl
Deprecated. Solve for a zero root in the given interval.
solve(int, UnivariateRealFunction, double, double, double) - Method in class org.apache.commons.math.analysis.solvers.UnivariateRealSolverImpl
Deprecated. Solve for a zero in the given interval, start at startValue.
solve(UnivariateRealFunction, double, double) - Static method in class org.apache.commons.math.analysis.solvers.UnivariateRealSolverUtils
Convenience method to find a zero of a univariate real function.
solve(UnivariateRealFunction, double, double, double) - Static method in class org.apache.commons.math.analysis.solvers.UnivariateRealSolverUtils
Convenience method to find a zero of a univariate real function.
solve(double[]) - Method in class org.apache.commons.math.linear.AbstractRealMatrix
Deprecated. 
solve(RealMatrix) - Method in class org.apache.commons.math.linear.AbstractRealMatrix
Deprecated. 
solve(BigDecimal[]) - Method in interface org.apache.commons.math.linear.BigMatrix
Deprecated. Returns the solution vector for a linear system with coefficient matrix = this and constant vector = b.
solve(BigMatrix) - Method in interface org.apache.commons.math.linear.BigMatrix
Deprecated. Returns a matrix of (column) solution vectors for linear systems with coefficient matrix = this and constant vectors = columns of b.
solve(BigDecimal[]) - Method in class org.apache.commons.math.linear.BigMatrixImpl
Deprecated. Returns a matrix of (column) solution vectors for linear systems with coefficient matrix = this and constant vectors = columns of b.
solve(double[]) - Method in class org.apache.commons.math.linear.BigMatrixImpl
Deprecated. Returns a matrix of (column) solution vectors for linear systems with coefficient matrix = this and constant vectors = columns of b.
solve(BigMatrix) - Method in class org.apache.commons.math.linear.BigMatrixImpl
Deprecated. Returns a matrix of (column) solution vectors for linear systems with coefficient matrix = this and constant vectors = columns of b.
solve(double[]) - Method in interface org.apache.commons.math.linear.DecompositionSolver
Solve the linear equation A × X = B for matrices A.
solve(RealVector) - Method in interface org.apache.commons.math.linear.DecompositionSolver
Solve the linear equation A × X = B for matrices A.
solve(RealMatrix) - Method in interface org.apache.commons.math.linear.DecompositionSolver
Solve the linear equation A × X = B for matrices A.
solve(T[]) - Method in interface org.apache.commons.math.linear.FieldDecompositionSolver
Solve the linear equation A × X = B for matrices A.
solve(FieldVector<T>) - Method in interface org.apache.commons.math.linear.FieldDecompositionSolver
Solve the linear equation A × X = B for matrices A.
solve(FieldMatrix<T>) - Method in interface org.apache.commons.math.linear.FieldDecompositionSolver
Solve the linear equation A × X = B for matrices A.
solve(double[]) - Method in interface org.apache.commons.math.linear.RealMatrix
Deprecated. as of release 2.0, replaced by DecompositionSolver.solve(double[])
solve(RealMatrix) - Method in interface org.apache.commons.math.linear.RealMatrix
Deprecated. as of release 2.0, replaced by DecompositionSolver.solve(RealMatrix)
solve2(double, double) - Method in class org.apache.commons.math.analysis.solvers.MullerSolver
Deprecated. replaced by MullerSolver.solve2(UnivariateRealFunction, double, double) since 2.0
solve2(UnivariateRealFunction, double, double) - Method in class org.apache.commons.math.analysis.solvers.MullerSolver
Deprecated. in 2.2 (to be removed in 3.0).
solveAll(double[], double) - Method in class org.apache.commons.math.analysis.solvers.LaguerreSolver
Deprecated. in 2.2.
solveAll(Complex[], Complex) - Method in class org.apache.commons.math.analysis.solvers.LaguerreSolver
Deprecated. in 2.2.
solveCubic(double, double, double, double) - Static method in class jhplot.math.Numeric
Calculates the roots of the cubic equation, a must be different from 0 (or use quadratic equation solver).
solveLinear(double, double) - Static method in class jhplot.math.Numeric
Calculates the roots of the linear equation, a must be different from 0.
solveQuadratic(double, double, double) - Static method in class jhplot.math.Numeric
Calculates the roots of the quadratic equation, a must be different from 0 (or use linear equation solver).
solveQuartic(double, double, double, double, double) - Static method in class jhplot.math.Numeric
Calculates the roots of the quartics equation, a must be different from 0 (or use cubic equation solver).
solveTranspose(double[][], double[][]) - Static method in class jhplot.math.LinearAlgebra
 
sort(double[]) - Static method in class jhplot.math.DoubleArray
Sorts an array in ascending order.
sort(double[][], int) - Static method in class jhplot.math.DoubleArray
Sorts the rows of a matrix using a specified column as the key.
sort(int[], Object[], Comparator, boolean) - Static method in class jhplot.math.SortUtils
Do a sort on indices.
sort(Object[], Comparator, boolean) - Static method in class jhplot.math.SortUtils
Do a sort on indices.
sort(Object[], Comparator) - Static method in class jhplot.math.SortUtils
Do an unstable sort.
sort(int[], Object[], Comparator) - Static method in class jhplot.math.SortUtils
Do an unstable sort.
sort() - Method in class jhplot.P0D
Sort into ascending order
sort() - Method in class jhplot.P0I
Sort into ascending order
sortIndex() - Method in class jhplot.P0D
Return indexes of sorted array in increasing order.
sortIndex() - Method in class jhplot.P0I
Return indexes of sorted array in increasing order.
Sorting - Class in jhplot.math
Quick Sort algoritm.
Sorting(double[], boolean) - Constructor for class jhplot.math.Sorting
Construct an ascending order.
sortMaxToMin(double[]) - Static method in class jhplot.math.ArrayMathUtils
Returns a sorted array from the maximum to the minimum value.
sortMaxToMin(int[]) - Static method in class jhplot.math.ArrayMathUtils
Returns a sorted array from the maximum to the minimum value.
sortMinToMax(double[]) - Static method in class jhplot.math.ArrayMathUtils
Returns a sorted array from the minimum to the maximum value.
sortMinToMax(int[]) - Static method in class jhplot.math.ArrayMathUtils
Returns a sorted array from the minimum to the maximum value.
SortUtils - Class in jhplot.math
Utility class providing some useful static sort methods.
SortUtils() - Constructor for class jhplot.math.SortUtils
 
SpacePoint - Class in hephysics.vec
A Hep3Vector representing a point in space.
SpacePoint() - Constructor for class hephysics.vec.SpacePoint
Default constructor.
SpacePoint(SpacePoint) - Constructor for class hephysics.vec.SpacePoint
Copy constructor
SpacePoint(Hep3Vector) - Constructor for class hephysics.vec.SpacePoint
 
SpacePoint.Representation - Enum in hephysics.vec
 
SparseFieldMatrix<T extends FieldElement<T>> - Class in org.apache.commons.math.linear
Sparse matrix implementation based on an open addressed map.
SparseFieldMatrix(Field<T>) - Constructor for class org.apache.commons.math.linear.SparseFieldMatrix
Creates a matrix with no data.
SparseFieldMatrix(Field<T>, int, int) - Constructor for class org.apache.commons.math.linear.SparseFieldMatrix
Create a new SparseFieldMatrix with the supplied row and column dimensions.
SparseFieldMatrix(SparseFieldMatrix<T>) - Constructor for class org.apache.commons.math.linear.SparseFieldMatrix
Copy constructor.
SparseFieldMatrix(FieldMatrix<T>) - Constructor for class org.apache.commons.math.linear.SparseFieldMatrix
Generic copy constructor.
SparseFieldVector<T extends FieldElement<T>> - Class in org.apache.commons.math.linear
This class implements the FieldVector interface with a OpenIntToFieldHashMap backing store.
SparseFieldVector(Field<T>) - Constructor for class org.apache.commons.math.linear.SparseFieldVector
Build a 0-length vector.
SparseFieldVector(Field<T>, int) - Constructor for class org.apache.commons.math.linear.SparseFieldVector
Construct a (dimension)-length vector of zeros.
SparseFieldVector(Field<T>, int, int) - Constructor for class org.apache.commons.math.linear.SparseFieldVector
Build a vector with known the sparseness (for advanced use only).
SparseFieldVector(Field<T>, T[]) - Constructor for class org.apache.commons.math.linear.SparseFieldVector
Create from a Field array.
SparseFieldVector(SparseFieldVector<T>) - Constructor for class org.apache.commons.math.linear.SparseFieldVector
Copy constructor.
sparseIterator() - Method in class org.apache.commons.math.linear.AbstractRealVector
Specialized implementations may choose to not iterate over all dimensions, either because those values are unset, or are equal to defaultValue(), or are small enough to be ignored for the purposes of iteration.
sparseIterator() - Method in class org.apache.commons.math.linear.OpenMapRealVector
Specialized implementations may choose to not iterate over all dimensions, either because those values are unset, or are equal to defaultValue(), or are small enough to be ignored for the purposes of iteration.
sparseIterator() - Method in interface org.apache.commons.math.linear.RealVector
Specialized implementations may choose to not iterate over all dimensions, either because those values are unset, or are equal to defaultValue(), or are small enough to be ignored for the purposes of iteration.
SparseRealMatrix - Interface in org.apache.commons.math.linear
Marker interface for RealMatrix implementations that require sparse backing storage
SparseRealVector - Interface in org.apache.commons.math.linear
Marker interface for RealVectors that require sparse backing storage
SpearmansCorrelation - Class in org.apache.commons.math.stat.correlation
Spearman's rank correlation.
SpearmansCorrelation(RealMatrix, RankingAlgorithm) - Constructor for class org.apache.commons.math.stat.correlation.SpearmansCorrelation
Create a SpearmansCorrelation with the given input data matrix and ranking algorithm.
SpearmansCorrelation(RealMatrix) - Constructor for class org.apache.commons.math.stat.correlation.SpearmansCorrelation
Create a SpearmansCorrelation from the given data matrix.
SpearmansCorrelation() - Constructor for class org.apache.commons.math.stat.correlation.SpearmansCorrelation
Create a SpearmansCorrelation without data.
Sphere - Class in jhplot.v3d
Build a sphere.
Sphere(Model3d, float, int, int) - Constructor for class jhplot.v3d.Sphere
Build a sphere.
SplineInterpolator - Class in org.apache.commons.math.analysis.interpolation
Computes a natural (also known as "free", "unclamped") cubic spline interpolation for the data set.
SplineInterpolator() - Constructor for class org.apache.commons.math.analysis.interpolation.SplineInterpolator
 
SPlot - Class in jhplot
A class to build a simple canvas with data points.
SPlot() - Constructor for class jhplot.SPlot
Construct a frame with a canvas.
SPlot(File) - Constructor for class jhplot.SPlot
Construct a frame with a canvas and open XML file with the data.
SPlot(int, int) - Constructor for class jhplot.SPlot
Construct a frame with the plot.
SPlot(String, int, int) - Constructor for class jhplot.SPlot
Construct a frame with the plot.
SPsheet - Class in jhplot
A spreadsheet class to display the data.
SPsheet() - Constructor for class jhplot.SPsheet
Show empty spreadsheet
SPsheet(P1D) - Constructor for class jhplot.SPsheet
Build a spreadsheet from the P1D container
SPsheet(CSVReader) - Constructor for class jhplot.SPsheet
Open spreadsheet and load csv file
SPsheet(H1D) - Constructor for class jhplot.SPsheet
Build a spreadsheet from the H1D histogram
SPsheet(F1D) - Constructor for class jhplot.SPsheet
Build a spreadsheet from the F1D function
SPsheet(DataHolder) - Constructor for class jhplot.SPsheet
Build a spreadsheet from multidimensional data holder
SQLiteBrowser - Class in jhplot.io.sqlite
A browser to display SQLite databases (v3) created using either native C++ code or SQLjet java library
SQLiteBrowser(String) - Constructor for class jhplot.io.sqlite.SQLiteBrowser
Open SQLite file in a pop-up browser
sqrt() - Method in class jhplot.math.Complex
Complex square root (doesn't change this complex number).
sqrt(ValueErr) - Static method in class jhplot.math.ValueErr
Get square root value
SQRT - Static variable in class org.apache.commons.math.analysis.ComposableFunction
The FastMath.sqrt method wrapped as a ComposableFunction.
sqrt() - Method in class org.apache.commons.math.complex.Complex
Compute the square root of this complex number.
sqrt() - Method in class org.apache.commons.math.dfp.Dfp
Compute the square root.
sqrt(double) - Static method in class org.apache.commons.math.util.FastMath
Compute the square root of a number.
sqrt1z() - Method in class org.apache.commons.math.complex.Complex
Compute the square root of 1 - this2 for this complex number.
SQRT_2 - Static variable in interface jhplot.math.num.Constants
√2.
square() - Method in class jhplot.math.ValueErr
Square
square(ValueErr) - Static method in class jhplot.math.ValueErr
Square
standardDeviation(double[]) - Static method in class jhplot.math.ArrayMathUtils
Computes the (bias-corrected sample) standard deviation of an array.
standardDeviation(int[]) - Static method in class jhplot.math.ArrayMathUtils
Returns the (bias-corrected sample) standard deviation of an array.
StandardDeviation - Class in org.apache.commons.math.stat.descriptive.moment
Computes the sample standard deviation.
StandardDeviation() - Constructor for class org.apache.commons.math.stat.descriptive.moment.StandardDeviation
Constructs a StandardDeviation.
StandardDeviation(SecondMoment) - Constructor for class org.apache.commons.math.stat.descriptive.moment.StandardDeviation
Constructs a StandardDeviation from an external second moment.
StandardDeviation(StandardDeviation) - Constructor for class org.apache.commons.math.stat.descriptive.moment.StandardDeviation
Copy constructor, creates a new StandardDeviation identical to the original
StandardDeviation(boolean) - Constructor for class org.apache.commons.math.stat.descriptive.moment.StandardDeviation
Contructs a StandardDeviation with the specified value for the isBiasCorrected property.
StandardDeviation(boolean, SecondMoment) - Constructor for class org.apache.commons.math.stat.descriptive.moment.StandardDeviation
Contructs a StandardDeviation with the specified value for the isBiasCorrected property and the supplied external moment.
standardError() - Method in class jhplot.P0D
Returns the sample standard error, which is Math.sqrt(variance() / size()).
standardError() - Method in class jhplot.P0I
Returns the sample standard error, which is Math.sqrt(variance() / size()).
standardize(PND) - Method in class jhplot.HNeuralNet
Standardize each column.
standardize() - Method in class jhplot.PND
Standardize each column.
start() - Method in class hep.aida.ref.fitter.fitdata.FitDataIterator
 
start() - Method in class hep.aida.ref.tuple.AbstractTuple
 
start() - Method in class hep.aida.ref.tuple.ChainedTuple
Positions the read cursor immediately before the first row.
start() - Method in interface hep.aida.ref.tuple.FTupleCursor
 
start() - Method in class hep.aida.ref.tuple.TupleCursor
 
start() - Method in class jhplot.bsom.Bsom
 
start() - Method in class jhplot.bsom.BsomDemo
 
start() - Method in class jhplot.v3d.Animation
 
start(int, int, int, int, int, int) - Method in class org.apache.commons.math.linear.DefaultFieldMatrixChangingVisitor
Start visiting a matrix.
start(int, int, int, int, int, int) - Method in class org.apache.commons.math.linear.DefaultFieldMatrixPreservingVisitor
Start visiting a matrix.
start(int, int, int, int, int, int) - Method in class org.apache.commons.math.linear.DefaultRealMatrixChangingVisitor
Start visiting a matrix.
start(int, int, int, int, int, int) - Method in class org.apache.commons.math.linear.DefaultRealMatrixPreservingVisitor
Start visiting a matrix.
start(int, int, int, int, int, int) - Method in interface org.apache.commons.math.linear.FieldMatrixChangingVisitor
Start visiting a matrix.
start(int, int, int, int, int, int) - Method in interface org.apache.commons.math.linear.FieldMatrixPreservingVisitor
Start visiting a matrix.
start(int, int, int, int, int, int) - Method in interface org.apache.commons.math.linear.RealMatrixChangingVisitor
Start visiting a matrix.
start(int, int, int, int, int, int) - Method in interface org.apache.commons.math.linear.RealMatrixPreservingVisitor
Start visiting a matrix.
start() - Method in class org.apache.commons.math.util.ResizableDoubleArray
Returns the starting index of the internal array.
startNoThread() - Method in class jhplot.bsom.BsomDemo
 
StatBox - Static variable in class jhplot.HPlotJa
 
StatConfidence - Class in jhpro.stat.limit
This is a class to give confidence intervals on various measurements calculated from the number of events observed, the acceptance factor, the background estimate and the associated errors.
StatConfidence(double, double, double, int) - Constructor for class jhpro.stat.limit.StatConfidence
Initialize the limit calculations
stateChanged(EventObject) - Method in interface hep.aida.ref.event.AIDAListener
 
stateChanged(EventObject) - Method in class hep.aida.ref.event.ObserverAdapter
 
stateChanged(EventObject) - Method in class hep.aida.ref.histogram.DataPoint
 
stateChanged(EventObject) - Method in class hep.aida.ref.histogram.DataPointSet
 
stateChanged(EventObject) - Method in class hep.aida.ref.tree.MountPoint
 
StatisticalMultivariateSummary - Interface in org.apache.commons.math.stat.descriptive
Reporting interface for basic multivariate statistics.
StatisticalSummary - Interface in org.apache.commons.math.stat.descriptive
Reporting interface for basic univariate statistics.
StatisticalSummaryValues - Class in org.apache.commons.math.stat.descriptive
Value object representing the results of a univariate statistical summary.
StatisticalSummaryValues(double, double, long, double, double, double) - Constructor for class org.apache.commons.math.stat.descriptive.StatisticalSummaryValues
Constructor
Statistics - Class in jhplot.stat
A static class for statistical calculations
Statistics() - Constructor for class jhplot.stat.Statistics
 
StatisticSample - Class in jhplot.math
A package to create random 1D and 2D arrays.
StatisticSample() - Constructor for class jhplot.math.StatisticSample
 
StatShape - Class in jhplot.stat
Shape identification based on a linear regression It calculates eccentricities in the transverse and longitudinal directions, as well as the size of the objects.
StatShape(double[], double[], double[], int) - Constructor for class jhplot.stat.StatShape
Perform a linear regression analysis with weights and prepare for a shape identification.
statusbar - Static variable in class jhplot.JHPlot
 
StatUtils - Class in org.apache.commons.math.stat
StatUtils provides static methods for computing statistics based on data stored in double[] arrays.
stddeviation(double[]) - Static method in class jhplot.math.StatisticSample
Standard deviation
stddeviation(double[][]) - Static method in class jhplot.math.StatisticSample
Standard deviation
stddeviation() - Method in class jhplot.P0D
Returns the standard deviation (square root of variance)
stddeviation() - Method in class jhplot.P0I
Returns the standard deviation (square root of variance)
stddeviation(double[]) - Static method in class jhplot.stat.Statistics
Standard deviation
stddeviation(double[][]) - Static method in class jhplot.stat.Statistics
Standard deviation
stddeviationX() - Method in class jhplot.P1D
Standard deviation of values X.
stddeviationY() - Method in class jhplot.P1D
Standard deviation of values Y.
stepAccepted(double, double[]) - Method in class org.apache.commons.math.ode.events.CombinedEventsManager
Deprecated. Inform the event handlers that the step has been accepted by the integrator.
stepAccepted(double, double[]) - Method in class org.apache.commons.math.ode.events.EventState
Acknowledge the fact the step has been accepted by the integrator.
StepHandler - Interface in org.apache.commons.math.ode.sampling
This interface represents a handler that should be called after each successful step.
StepHandlerWithJacobians - Interface in org.apache.commons.math.ode.jacobians
Deprecated. as of 2.2 the complete package is deprecated, it will be replaced in 3.0 by a completely rewritten implementation
StepInterpolator - Interface in org.apache.commons.math.ode.sampling
This interface represents an interpolator over the last step during an ODE integration.
StepInterpolatorWithJacobians - Interface in org.apache.commons.math.ode.jacobians
Deprecated. as of 2.2 the complete package is deprecated, it will be replaced in 3.0 by a completely rewritten implementation
StepNormalizer - Class in org.apache.commons.math.ode.sampling
This class wraps an object implementing FixedStepHandler into a StepHandler.
StepNormalizer(double, FixedStepHandler) - Constructor for class org.apache.commons.math.ode.sampling.StepNormalizer
Simple constructor.
stepSize() - Method in class hep.aida.ref.fitter.FitParameterSettings
 
stop() - Method in class jhplot.bsom.Bsom
 
stop() - Method in class jhplot.bsom.BsomDemo
 
stop() - Method in class jhplot.v3d.Animation
 
stop() - Method in class org.apache.commons.math.ode.events.CombinedEventsManager
Deprecated. Check if the integration should be stopped at the end of the current step.
STOP - Static variable in interface org.apache.commons.math.ode.events.EventHandler
Stop indicator.
stop() - Method in class org.apache.commons.math.ode.events.EventState
Check if the integration should be stopped at the end of the current step.
STOP - Static variable in interface org.apache.commons.math.ode.jacobians.EventHandlerWithJacobians
Deprecated. Stop indicator.
StoppingCondition - Interface in org.apache.commons.math.genetics
Algorithm used to determine when to stop evolution.
storeAll(String) - Method in class hep.aida.ref.function.FunctionCatalog
 
StorelessUnivariateStatistic - Interface in org.apache.commons.math.stat.descriptive
Extends the definition of UnivariateStatistic with StorelessUnivariateStatistic.increment(double) and StorelessUnivariateStatistic.incrementAll(double[]) methods for adding values and updating internal state.
storeName() - Method in class hep.aida.ref.tree.Tree
Get the name of the store.
storeTime(double) - Method in class org.apache.commons.math.ode.sampling.AbstractStepInterpolator
Store the current step time.
storeType() - Method in class hep.aida.ref.tree.Tree
 
StringPrintable - Interface in jhplot.math.io
BSD License
stringToArray(String) - Static method in class hep.aida.ref.AidaUtils
 
sub(Binner1D, Binner1D, Binner1D) - Static method in class hep.aida.ref.histogram.binner.BinnerMath
 
sub(Hep3Vector) - Method in class hephysics.vec.Hep3Vector
Subtract
sub(Hep3Vector, Hep3Vector) - Method in class hephysics.vec.Hep3Vector
Subtract
sub(HepLorentzVector, HepLorentzVector) - Method in class hephysics.vec.HepLorentzVector
Subtract 2 vectors
sub(Hep3Vector, Hep3Vector) - Static method in class hephysics.vec.VecOp
 
sub(Vector3d) - Method in class jhplot.v3d.Vector3d
 
subAndCheck(int, int) - Static method in class org.apache.commons.math.util.MathUtils
Subtract two integers, checking for overflow.
subAndCheck(long, long) - Static method in class org.apache.commons.math.util.MathUtils
Subtract two long integers, checking for overflow.
substituteMostRecentElement(double) - Method in class org.apache.commons.math.util.ResizableDoubleArray
Substitutes value for the most recently added value.
substituteText(String, String, String) - Static method in class jhplot.v3d.Util
Renders a string based on text where any occurence of token is replaced by substitute.
substituteTextS(String, String, String) - Static method in class jhplot.v3d.Util
Renders a string based on text where any occurence of token is replaced by substitute.
subtract(String, IDataPointSet, IDataPointSet) - Method in class hep.aida.ref.histogram.DataPointSetFactory
 
subtract(String, IHistogram1D, IHistogram1D) - Method in class hep.aida.ref.histogram.HistogramFactory
Subtracts two 1D Histogram
subtract(String, IHistogram2D, IHistogram2D) - Method in class hep.aida.ref.histogram.HistogramFactory
Subtracts two 2D Histogram
subtract(String, IHistogram3D, IHistogram3D) - Method in class hep.aida.ref.histogram.HistogramFactory
Subtracts two 3D Histogram
subtract(double[], double[]) - Static method in class jhplot.math.ArrayMathUtils
Subtracts the two arrays together (componentwise)
subtract(int[], int[]) - Static method in class jhplot.math.ArrayMathUtils
Subtracts the two arrays together (componentwise).
SUBTRACT - Static variable in class org.apache.commons.math.analysis.BinaryFunction
Deprecated. The - operator method wrapped as a BinaryFunction.
subtract(UnivariateRealFunction) - Method in class org.apache.commons.math.analysis.ComposableFunction
Return a function subtracting another function from the instance.
subtract(PolynomialFunction) - Method in class org.apache.commons.math.analysis.polynomials.PolynomialFunction
Subtract a polynomial from the instance.
subtract(Complex) - Method in class org.apache.commons.math.complex.Complex
Return the difference between this complex number and the given complex number.
subtract(Dfp) - Method in class org.apache.commons.math.dfp.Dfp
Subtract x from this.
subtract(T) - Method in interface org.apache.commons.math.FieldElement
Compute this - a.
subtract(BigInteger) - Method in class org.apache.commons.math.fraction.BigFraction
Subtracts the value of an BigInteger from the value of this one, returning the result in reduced form.
subtract(int) - Method in class org.apache.commons.math.fraction.BigFraction
Subtracts the value of an integer from the value of this one, returning the result in reduced form.
subtract(long) - Method in class org.apache.commons.math.fraction.BigFraction
Subtracts the value of an integer from the value of this one, returning the result in reduced form.
subtract(BigFraction) - Method in class org.apache.commons.math.fraction.BigFraction
Subtracts the value of another fraction from the value of this one, returning the result in reduced form.
subtract(Fraction) - Method in class org.apache.commons.math.fraction.Fraction
Subtracts the value of another fraction from the value of this one, returning the result in reduced form.
subtract(int) - Method in class org.apache.commons.math.fraction.Fraction
Subtract an integer from the fraction.
subtract(Vector3D) - Method in class org.apache.commons.math.geometry.Vector3D
Subtract a vector from the instance.
subtract(double, Vector3D) - Method in class org.apache.commons.math.geometry.Vector3D
Subtract a scaled vector from the instance.
subtract(FieldMatrix<T>) - Method in class org.apache.commons.math.linear.AbstractFieldMatrix
Compute this minus m.
subtract(RealMatrix) - Method in class org.apache.commons.math.linear.AbstractRealMatrix
Compute this minus m.
subtract(double[]) - Method in class org.apache.commons.math.linear.AbstractRealVector
Subtract v from this vector.
subtract(RealVector) - Method in class org.apache.commons.math.linear.AbstractRealVector
Subtract v from this vector.
subtract(FieldMatrix<T>) - Method in class org.apache.commons.math.linear.Array2DRowFieldMatrix
Compute this minus m.
subtract(Array2DRowFieldMatrix<T>) - Method in class org.apache.commons.math.linear.Array2DRowFieldMatrix
Compute this minus m.
subtract(RealMatrix) - Method in class org.apache.commons.math.linear.Array2DRowRealMatrix
Compute this minus m.
subtract(Array2DRowRealMatrix) - Method in class org.apache.commons.math.linear.Array2DRowRealMatrix
Compute this minus m.
subtract(FieldVector<T>) - Method in class org.apache.commons.math.linear.ArrayFieldVector
Compute this minus v.
subtract(T[]) - Method in class org.apache.commons.math.linear.ArrayFieldVector
Compute this minus v.
subtract(ArrayFieldVector<T>) - Method in class org.apache.commons.math.linear.ArrayFieldVector
Compute this minus v.
subtract(RealVector) - Method in class org.apache.commons.math.linear.ArrayRealVector
Subtract v from this vector.
subtract(double[]) - Method in class org.apache.commons.math.linear.ArrayRealVector
Subtract v from this vector.
subtract(ArrayRealVector) - Method in class org.apache.commons.math.linear.ArrayRealVector
Compute this minus v.
subtract(BigMatrix) - Method in interface org.apache.commons.math.linear.BigMatrix
Deprecated. Compute this minus m.
subtract(BigMatrix) - Method in class org.apache.commons.math.linear.BigMatrixImpl
Deprecated. Compute this minus m.
subtract(BigMatrixImpl) - Method in class org.apache.commons.math.linear.BigMatrixImpl
Deprecated. Compute this minus m.
subtract(FieldMatrix<T>) - Method in class org.apache.commons.math.linear.BlockFieldMatrix
Compute this minus m.
subtract(BlockFieldMatrix<T>) - Method in class org.apache.commons.math.linear.BlockFieldMatrix
Compute this minus m.
subtract(RealMatrix) - Method in class org.apache.commons.math.linear.BlockRealMatrix
Compute this minus m.
subtract(BlockRealMatrix) - Method in class org.apache.commons.math.linear.BlockRealMatrix
Compute this minus m.
subtract(FieldMatrix<T>) - Method in interface org.apache.commons.math.linear.FieldMatrix
Compute this minus m.
subtract(FieldVector<T>) - Method in interface org.apache.commons.math.linear.FieldVector
Compute this minus v.
subtract(T[]) - Method in interface org.apache.commons.math.linear.FieldVector
Compute this minus v.
subtract(RealMatrix) - Method in class org.apache.commons.math.linear.OpenMapRealMatrix
Compute this minus m.
subtract(OpenMapRealMatrix) - Method in class org.apache.commons.math.linear.OpenMapRealMatrix
Compute this minus m.
subtract(OpenMapRealVector) - Method in class org.apache.commons.math.linear.OpenMapRealVector
Optimized method to subtract OpenMapRealVectors.
subtract(RealVector) - Method in class org.apache.commons.math.linear.OpenMapRealVector
Subtract v from this vector.
subtract(double[]) - Method in class org.apache.commons.math.linear.OpenMapRealVector
Subtract v from this vector.
subtract(RealMatrix) - Method in interface org.apache.commons.math.linear.RealMatrix
Compute this minus m.
subtract(RealMatrix) - Method in class org.apache.commons.math.linear.RealMatrixImpl
Deprecated. Compute this minus m.
subtract(RealMatrixImpl) - Method in class org.apache.commons.math.linear.RealMatrixImpl
Deprecated. Compute this minus m.
subtract(RealVector) - Method in interface org.apache.commons.math.linear.RealVector
Subtract v from this vector.
subtract(double[]) - Method in interface org.apache.commons.math.linear.RealVector
Subtract v from this vector.
subtract(SparseFieldVector<T>) - Method in class org.apache.commons.math.linear.SparseFieldVector
Optimized method to subtract SparseRealVectors.
subtract(FieldVector<T>) - Method in class org.apache.commons.math.linear.SparseFieldVector
Compute this minus v.
subtract(T[]) - Method in class org.apache.commons.math.linear.SparseFieldVector
Compute this minus v.
subtract(BigReal) - Method in class org.apache.commons.math.util.BigReal
Compute this - a.
sum(double[]) - Static method in class jhplot.math.DoubleArray
Calculate the sum of the values in an array
sum(double[][]) - Static method in class jhplot.math.DoubleArray
Calculates the sum of each column in a matrix.
Sum - Class in org.apache.commons.math.stat.descriptive.summary
Returns the sum of the available values.
Sum() - Constructor for class org.apache.commons.math.stat.descriptive.summary.Sum
Create a Sum instance
Sum(Sum) - Constructor for class org.apache.commons.math.stat.descriptive.summary.Sum
Copy constructor, creates a new Sum identical to the original
sum(double[]) - Static method in class org.apache.commons.math.stat.StatUtils
Returns the sum of the values in the input array, or Double.NaN if the array is empty.
sum(double[], int, int) - Static method in class org.apache.commons.math.stat.StatUtils
Returns the sum of the entries in the specified portion of the input array, or Double.NaN if the designated subarray is empty.
sumAllBinHeights() - Method in class hep.aida.ref.histogram.Histogram
Get the sum of the bin heights for all the entries, in-range and out-range ones.
sumAllBinHeights() - Method in class hep.aida.ref.histogram.Histogram1D
Get the sum of the bin heights for all the entries, in-range and out-range ones.
sumAllBinHeights() - Method in class hep.aida.ref.histogram.Histogram2D
Get the sum of the bin heights for all the entries, in-range and out-range ones.
sumAllBinHeights() - Method in class hep.aida.ref.histogram.Histogram3D
Get the sum of the bin heights for all the entries, in-range and out-range ones.
sumAllBinHeights() - Method in class hep.aida.ref.histogram.Profile1D
 
sumAllBinHeights() - Method in class hep.aida.ref.histogram.Profile2D
 
sumAllBinHeights() - Method in class jhplot.H1D
Sum of all heights
sumAllBinHeights() - Method in class jhplot.H2D
Get the sum of the bin heights for all the entries, in-range and out-range ones.
sumAllBinHeights() - Method in class jhplot.HProf1D
Sum of all heights
sumAllBinHeights() - Method in class jhplot.HProf2D
Get the sum of the bin heights for all the entries, in-range and out-range ones.
sumBinHeights() - Method in class hep.aida.ref.histogram.Histogram
Get the sum of the bin heights for in-range entries.
sumBinHeights() - Method in class hep.aida.ref.histogram.Profile1D
 
sumBinHeights() - Method in class hep.aida.ref.histogram.Profile2D
 
sumDifference(double[], double[]) - Static method in class org.apache.commons.math.stat.StatUtils
Returns the sum of the (signed) differences between corresponding elements of the input arrays -- i.e., sum(sample1[i] - sample2[i]).
sumEntries() - Method in class jhplot.bsom.Matrix
Summation of all entries.
sumExtraBinHeights() - Method in class hep.aida.ref.histogram.Histogram
Get the sum of the bin heights for all the entries outside the Histogram's range.
sumExtraBinHeights() - Method in class hep.aida.ref.histogram.Histogram1D
Get the sum of the bin heights for all the entries outside the Histogram's range.
sumExtraBinHeights() - Method in class hep.aida.ref.histogram.Histogram2D
Get the sum of the bin heights for all the entries outside the Histogram's range.
sumExtraBinHeights() - Method in class hep.aida.ref.histogram.Histogram3D
Get the sum of the bin heights for all the entries outside the Histogram's range.
sumExtraBinHeights() - Method in class hep.aida.ref.histogram.Profile1D
 
sumExtraBinHeights() - Method in class hep.aida.ref.histogram.Profile2D
 
sumExtraBinHeights() - Method in class jhplot.H2D
Get the sum of the bin heights for all the entries outside the Histogram's range.
sumExtraBinHeights() - Method in class jhplot.HProf2D
Get the sum of the bin heights for all the entries outside the Histogram's range.
sumLog(double[]) - Static method in class org.apache.commons.math.stat.StatUtils
Returns the sum of the natural logs of the entries in the input array, or Double.NaN if the array is empty.
sumLog(double[], int, int) - Static method in class org.apache.commons.math.stat.StatUtils
Returns the sum of the natural logs of the entries in the specified portion of the input array, or Double.NaN if the designated subarray is empty.
SummaryStatistics - Class in org.apache.commons.math.stat.descriptive
Computes summary statistics for a stream of data values added using the addValue method.
SummaryStatistics() - Constructor for class org.apache.commons.math.stat.descriptive.SummaryStatistics
Construct a SummaryStatistics instance
SummaryStatistics(SummaryStatistics) - Constructor for class org.apache.commons.math.stat.descriptive.SummaryStatistics
A copy constructor.
SumOfFunctions - Class in hep.aida.ref.function
 
SumOfFunctions(String, ArrayList) - Constructor for class hep.aida.ref.function.SumOfFunctions
 
SumOfLogs - Class in org.apache.commons.math.stat.descriptive.summary
Returns the sum of the natural logs for this collection of values.
SumOfLogs() - Constructor for class org.apache.commons.math.stat.descriptive.summary.SumOfLogs
Create a SumOfLogs instance
SumOfLogs(SumOfLogs) - Constructor for class org.apache.commons.math.stat.descriptive.summary.SumOfLogs
Copy constructor, creates a new SumOfLogs identical to the original
SumOfSquares - Class in org.apache.commons.math.stat.descriptive.summary
Returns the sum of the squares of the available values.
SumOfSquares() - Constructor for class org.apache.commons.math.stat.descriptive.summary.SumOfSquares
Create a SumOfSquares instance
SumOfSquares(SumOfSquares) - Constructor for class org.apache.commons.math.stat.descriptive.summary.SumOfSquares
Copy constructor, creates a new SumOfSquares identical to the original
sumOfWeights() - Method in class hep.aida.ref.dataset.DataStatistics
Get the sum of weights for this data set.
sumOfWeights() - Method in class hep.aida.ref.histogram.Cloud
Get the sum of weights of of all the entries
sumOfWeights() - Method in class hep.aida.ref.histogram.Cloud1D
Get the sum of weights of of all the entries
sumOfWeights() - Method in class hep.aida.ref.histogram.Cloud2D
Get the sum of weights of of all the entries
sumOfWeights() - Method in class hep.aida.ref.histogram.Cloud3D
Get the sum of weights of of all the entries
sumSq(double[]) - Static method in class org.apache.commons.math.stat.StatUtils
Returns the sum of the squares of the entries in the input array, or Double.NaN if the array is empty.
sumSq(double[], int, int) - Static method in class org.apache.commons.math.stat.StatUtils
Returns the sum of the squares of the entries in the specified portion of the input array, or Double.NaN if the designated subarray is empty.
sumSqrEntries() - Method in class jhplot.bsom.Matrix
Summation of squared entries.
sumSquares(double[]) - Static method in class jhplot.math.ArrayMathUtils
Sums the squares of all components; also called the energy of the array.
sumSquares(double[][]) - Static method in class jhplot.math.ArrayMathUtils
Sums the squares of all components; also called the energy of the array.
sumSquares(int[]) - Static method in class jhplot.math.ArrayMathUtils
Sums the squares of all components; also called the energy of the array.
sumSquares(int[][]) - Static method in class jhplot.math.ArrayMathUtils
Sums the squares of all components; also called the energy of the array.
sumWW(int) - Method in class hep.aida.ref.histogram.binner.AbstractBinner1D
 
sumWW(int) - Method in interface hep.aida.ref.histogram.binner.Binner1D
 
sumXW(int) - Method in class hep.aida.ref.histogram.binner.AbstractBinner1D
 
sumXW(int) - Method in interface hep.aida.ref.histogram.binner.Binner1D
 
sumXXW(int) - Method in class hep.aida.ref.histogram.binner.AbstractBinner1D
 
sumXXW(int) - Method in interface hep.aida.ref.histogram.binner.Binner1D
 
supportsMultipleCursors() - Method in class hep.aida.ref.tuple.AbstractTuple
 
supportsMultipleCursors() - Method in class hep.aida.ref.tuple.ChainedTuple
 
supportsMultipleCursors() - Method in interface hep.aida.ref.tuple.FTuple
 
supportsMultipleCursors() - Method in class hep.aida.ref.tuple.FTupleAdapter
 
supportsMultipleCursors() - Method in class hep.aida.ref.tuple.Tuple
 
supportsRandomAccess() - Method in class hep.aida.ref.tuple.AbstractTuple
 
supportsRandomAccess() - Method in class hep.aida.ref.tuple.ChainedTuple
 
supportsRandomAccess() - Method in interface hep.aida.ref.tuple.FTuple
 
supportsRandomAccess() - Method in class hep.aida.ref.tuple.FTupleAdapter
 
supportsRandomAccess() - Method in class hep.aida.ref.tuple.Tuple
 
symlink(String, String) - Method in class hep.aida.ref.tree.Tree
Create a symbolic link to an object in the ITree.
SynchronizedDescriptiveStatistics - Class in org.apache.commons.math.stat.descriptive
Implementation of DescriptiveStatistics that is safe to use in a multithreaded environment.
SynchronizedDescriptiveStatistics() - Constructor for class org.apache.commons.math.stat.descriptive.SynchronizedDescriptiveStatistics
Construct an instance with infinite window
SynchronizedDescriptiveStatistics(int) - Constructor for class org.apache.commons.math.stat.descriptive.SynchronizedDescriptiveStatistics
Construct an instance with finite window
SynchronizedDescriptiveStatistics(SynchronizedDescriptiveStatistics) - Constructor for class org.apache.commons.math.stat.descriptive.SynchronizedDescriptiveStatistics
A copy constructor.
SynchronizedMultivariateSummaryStatistics - Class in org.apache.commons.math.stat.descriptive
Implementation of MultivariateSummaryStatistics that is safe to use in a multithreaded environment.
SynchronizedMultivariateSummaryStatistics(int, boolean) - Constructor for class org.apache.commons.math.stat.descriptive.SynchronizedMultivariateSummaryStatistics
Construct a SynchronizedMultivariateSummaryStatistics instance
SynchronizedSummaryStatistics - Class in org.apache.commons.math.stat.descriptive
Implementation of SummaryStatistics that is safe to use in a multithreaded environment.
SynchronizedSummaryStatistics() - Constructor for class org.apache.commons.math.stat.descriptive.SynchronizedSummaryStatistics
Construct a SynchronizedSummaryStatistics instance
SynchronizedSummaryStatistics(SynchronizedSummaryStatistics) - Constructor for class org.apache.commons.math.stat.descriptive.SynchronizedSummaryStatistics
A copy constructor.

T

t() - Method in class hephysics.vec.HepLorentzVector
Get time
t(double, double[]) - Static method in class org.apache.commons.math.stat.inference.TestUtils
 
t(double, StatisticalSummary) - Static method in class org.apache.commons.math.stat.inference.TestUtils
 
t(double[], double[]) - Static method in class org.apache.commons.math.stat.inference.TestUtils
 
t(StatisticalSummary, StatisticalSummary) - Static method in class org.apache.commons.math.stat.inference.TestUtils
 
t(double, double[]) - Method in interface org.apache.commons.math.stat.inference.TTest
Computes a t statistic given observed values and a comparison constant.
t(double, StatisticalSummary) - Method in interface org.apache.commons.math.stat.inference.TTest
Computes a t statistic to use in comparing the mean of the dataset described by sampleStats to mu.
t(double[], double[]) - Method in interface org.apache.commons.math.stat.inference.TTest
Computes a 2-sample t statistic, without the hypothesis of equal subpopulation variances.
t(StatisticalSummary, StatisticalSummary) - Method in interface org.apache.commons.math.stat.inference.TTest
Computes a 2-sample t statistic , comparing the means of the datasets described by two StatisticalSummary instances, without the assumption of equal subpopulation variances.
t(double, double[]) - Method in class org.apache.commons.math.stat.inference.TTestImpl
Computes a t statistic given observed values and a comparison constant.
t(double, StatisticalSummary) - Method in class org.apache.commons.math.stat.inference.TTestImpl
Computes a t statistic to use in comparing the mean of the dataset described by sampleStats to mu.
t(double[], double[]) - Method in class org.apache.commons.math.stat.inference.TTestImpl
Computes a 2-sample t statistic, without the hypothesis of equal subpopulation variances.
t(StatisticalSummary, StatisticalSummary) - Method in class org.apache.commons.math.stat.inference.TTestImpl
Computes a 2-sample t statistic , comparing the means of the datasets described by two StatisticalSummary instances, without the assumption of equal subpopulation variances.
tan() - Method in class jhplot.math.Complex
Tangent of this Complex number (doesn't change this Complex number).
tan(ValueErr) - Static method in class jhplot.math.ValueErr
Tangent of a value with error
TAN - Static variable in class org.apache.commons.math.analysis.ComposableFunction
The FastMath.tan method wrapped as a ComposableFunction.
tan() - Method in class org.apache.commons.math.complex.Complex
Compute the tangent of this complex number.
tan(Dfp) - Static method in class org.apache.commons.math.dfp.DfpMath
computes the tangent of the argument.
tan(double) - Static method in class org.apache.commons.math.util.FastMath
Tangent function
tanh(double) - Static method in class jhplot.math.num.special.Trigonometric
Returns the hyperbolic tangent of x.
tanh(ValueErr) - Static method in class jhplot.math.ValueErr
Hyperbolic tangent of value with error
TANH - Static variable in class org.apache.commons.math.analysis.ComposableFunction
The FastMath.tanh method wrapped as a ComposableFunction.
tanh() - Method in class org.apache.commons.math.complex.Complex
Compute the hyperbolic tangent of this complex number.
tanh(double) - Static method in class org.apache.commons.math.util.FastMath
Compute the hyperbolic tangent of a number.
TDistribution - Class in jhplot.math.num.pdf
Student's t distribution (1).
TDistribution() - Constructor for class jhplot.math.num.pdf.TDistribution
Default constructor.
TDistribution(double) - Constructor for class jhplot.math.num.pdf.TDistribution
Create a distribution with the given degrees of freedom.
TDistribution - Interface in org.apache.commons.math.distribution
Student's t-Distribution.
TDistributionImpl - Class in org.apache.commons.math.distribution
Default implementation of TDistribution.
TDistributionImpl(double, double) - Constructor for class org.apache.commons.math.distribution.TDistributionImpl
Create a t distribution using the given degrees of freedom and the specified inverse cumulative probability absolute accuracy.
TDistributionImpl(double) - Constructor for class org.apache.commons.math.distribution.TDistributionImpl
Create a t distribution using the given degrees of freedom.
test1() - Static method in class hep.aida.ref.function.FunctionCatalog
 
test2() - Static method in class hep.aida.ref.function.FunctionCatalog
 
TestCalculator - Class in jhpro.test
An example of how to calculate limits
TestCalculator() - Constructor for class jhpro.test.TestCalculator
 
TestCanvas - Class in jhplot.v3d
 
TestCanvas() - Constructor for class jhplot.v3d.TestCanvas
 
TestLimit - Class in jhpro.test
An example of how to calculate limits
TestLimit() - Constructor for class jhpro.test.TestLimit
 
TestUtils - Class in org.apache.commons.math.stat.inference
A collection of static methods to create inference test instances or to perform inference tests.
Text(String, float, float) - Static method in class jhplot.jadraw.Diagram
Get a text object
TEXT - Static variable in class jhplot.shapes.HShape
 
Text - Class in jhplot.shapes
Draw a TEXT in the USER coordinate system.
Text(String, double, double, Font, Color) - Constructor for class jhplot.shapes.Text
Create a TEXT object
Text(String, double, double) - Constructor for class jhplot.shapes.Text
Create a TEXT object
TextBox(String, float, float) - Static method in class jhplot.jadraw.Diagram
A boxed text object
TextBox(String[], float, float) - Static method in class jhplot.jadraw.Diagram
A multiline boxed text object
textVariance(char[]) - Static method in class jhplot.v3d.Util
 
theta() - Method in class hephysics.vec.Hep3Vector
angle theta (=atan2(perp(),z)
theta() - Method in class hephysics.vec.HepLorentzVector
Get theta angle
theta() - Method in class hephysics.vec.SpacePoint
Spherical theta
ThirdMoment - Class in org.apache.commons.math.stat.descriptive.moment
Computes a statistic related to the Third Central Moment.
ThirdMoment() - Constructor for class org.apache.commons.math.stat.descriptive.moment.ThirdMoment
Create a FourthMoment instance
ThirdMoment(ThirdMoment) - Constructor for class org.apache.commons.math.stat.descriptive.moment.ThirdMoment
Copy constructor, creates a new ThirdMoment identical to the original
THREE_FIFTHS - Static variable in class org.apache.commons.math.fraction.BigFraction
A fraction representing "3/5".
THREE_FIFTHS - Static variable in class org.apache.commons.math.fraction.Fraction
A fraction representing "3/5".
THREE_QUARTERS - Static variable in class org.apache.commons.math.fraction.BigFraction
A fraction representing "3/4".
THREE_QUARTERS - Static variable in class org.apache.commons.math.fraction.Fraction
A fraction representing "3/4".
ThreeEighthesIntegrator - Class in org.apache.commons.math.ode.nonstiff
This class implements the 3/8 fourth order Runge-Kutta integrator for Ordinary Differential Equations.
ThreeEighthesIntegrator(double) - Constructor for class org.apache.commons.math.ode.nonstiff.ThreeEighthesIntegrator
Simple constructor.
throwError(String) - Static method in class jhplot.math.DoubleArray
Throws an error exception if an argument is invalid.
TiesStrategy - Enum in org.apache.commons.math.stat.ranking
Strategies for handling tied values in rank transformations.
timer - Static variable in class jhplot.JHPlot
 
times(Complex) - Method in class jhplot.math.Complex
Complex multiplication (doesn't change this Complex number).
times(double) - Method in class jhplot.math.Complex
Returns this complex multiplied by the specified factor.
times(double[]...) - Static method in class jhplot.math.LinearAlgebra
Element-wise product of any number of arrays.
times(double[], double) - Static method in class jhplot.math.LinearAlgebra
Multiply each element of an array by a scalar.
times(double[][], double) - Static method in class jhplot.math.LinearAlgebra
Multiply each element in a matrix by a scalar
times(double[][], double[][]) - Static method in class jhplot.math.LinearAlgebra
Matrix multiplication according to the rules of linear algebra.
times(double[][], double[]) - Static method in class jhplot.math.LinearAlgebra
Product of a matrix and a vector (array) according to the rules of linear algebra.
times(ValueErr, double) - Method in class jhplot.math.ValueErr
Multiply two ValueErr numbers with correlation
times(ValueErr) - Method in class jhplot.math.ValueErr
Multiply this ValueErr number by a ValueErr number without correlation
times(double) - Method in class jhplot.math.ValueErr
Multiply this ValueErr number by a double.
times(ValueErr, ValueErr, double) - Static method in class jhplot.math.ValueErr
Multiply two ValueErr numbers with correlation
times(ValueErr, ValueErr) - Static method in class jhplot.math.ValueErr
Multiply two ValueErr numbers without correlation
times(double, ValueErr) - Static method in class jhplot.math.ValueErr
Multiply a double by a ValueErr number
times(double, double) - Static method in class jhplot.math.ValueErr
Multiply a double number by a double and return product as ValueErr
timesEquals(ValueErr, double) - Method in class jhplot.math.ValueErr
Multiply this ValueErr number by an ValueErr number and replace this by the product with correlation
timesEquals(ValueErr) - Method in class jhplot.math.ValueErr
Multiply this ValueErr number by an ValueErr number and replace this by the product with no correlation
timesEquals(double) - Method in class jhplot.math.ValueErr
Multiply this ValueErr number by a double and replace it by the product
title() - Method in class hep.aida.ref.fitter.InternalFitFunction
 
title() - Method in class hep.aida.ref.function.AbstractDevModelFunction
 
title() - Method in class hep.aida.ref.function.AbstractIFunction
 
title() - Method in class hep.aida.ref.function.BaseModelFunction
 
title() - Method in class hep.aida.ref.function.FunctionCore
 
title() - Method in class hep.aida.ref.function.SumOfFunctions
 
title() - Method in class hep.aida.ref.histogram.AbstractBaseHistogram
Get the histogram title.
title() - Method in class hep.aida.ref.histogram.DataPointSet
 
title() - Method in class hep.aida.ref.tuple.AbstractTuple
 
title() - Method in interface hep.aida.ref.tuple.FTuple
 
title() - Method in class hep.aida.ref.tuple.FTupleAdapter
 
Title - Static variable in class jhplot.HPlotJa
 
TITLE_CHANGED - Static variable in class hep.aida.ref.function.FunctionChangedEvent
 
titleKey - Static variable in class hep.aida.ref.Annotation
 
toArray() - Method in class jhplot.math.num.DoubleArray
Convert this array into a native array.
toArray() - Method in class org.apache.commons.math.linear.AbstractRealVector
Convert the vector to a double array.
toArray() - Method in class org.apache.commons.math.linear.ArrayFieldVector
Convert the vector to a T array.
toArray() - Method in class org.apache.commons.math.linear.ArrayRealVector
Convert the vector to a double array.
toArray() - Method in interface org.apache.commons.math.linear.FieldVector
Convert the vector to a T array.
toArray() - Method in class org.apache.commons.math.linear.OpenMapRealVector
Convert the vector to a double array.
toArray() - Method in interface org.apache.commons.math.linear.RealVector
Convert the vector to a double array.
toArray() - Method in class org.apache.commons.math.linear.SparseFieldVector
Convert the vector to a T array.
toASCIIFile(File) - Method in interface jhplot.math.io.FilePrintable
 
toBlocksLayout(T[][]) - Static method in class org.apache.commons.math.linear.BlockFieldMatrix
Convert a data array from raw layout to blocks layout.
toBlocksLayout(double[][]) - Static method in class org.apache.commons.math.linear.BlockRealMatrix
Convert a data array from raw layout to blocks layout.
toClipBoard() - Method in interface jhplot.math.io.ClipBoardPrintable
 
toCommandLine(String) - Method in class jhplot.math.Slicing
 
toDegrees(double) - Static method in class org.apache.commons.math.util.FastMath
Convert radians to degrees, with error of less than 0.5 ULP
toDouble(float[]) - Static method in class jhplot.math.ArrayMathUtils
 
toDouble(long[]) - Static method in class jhplot.math.ArrayMathUtils
 
toDouble(int[]) - Static method in class jhplot.math.ArrayMathUtils
 
toDouble(float[][]) - Static method in class jhplot.math.ArrayMathUtils
 
toDouble(long[][]) - Static method in class jhplot.math.ArrayMathUtils
 
toDouble(int[][]) - Static method in class jhplot.math.ArrayMathUtils
 
toDouble() - Method in class org.apache.commons.math.dfp.Dfp
Convert the instance into a double.
toFile(String) - Method in class jhplot.H1D
Write the H1D histogram to a file
toFile(String) - Method in class jhplot.HProf1D
Write the profile histogram to a file
toFile(String) - Method in class jhplot.P0D
Write a P0D to an external file.
toFile(String) - Method in class jhplot.P0I
Write a P0I to an external file.
toFile(String) - Method in class jhplot.P1D
Write a P1D to an external file.
toFile(String) - Method in class jhplot.P2D
Write a P2D to an external file.
toFile(String) - Method in class jhplot.P3D
Write a P3D to an external file.
toFile(String) - Method in class jhplot.PND
Write a PND to an external file.
toFile(String) - Method in class jhplot.PNI
Write a PNI to an external file.
toFileAsLatex(String, DecimalFormat, DecimalFormat) - Method in class jhplot.P1D
Write a File in form of LaTeX table from values in the container P1D
toFloat(double[]) - Static method in class jhplot.math.ArrayMathUtils
 
toFloat(long[]) - Static method in class jhplot.math.ArrayMathUtils
 
toFloat(int[]) - Static method in class jhplot.math.ArrayMathUtils
 
toFloat(double[][]) - Static method in class jhplot.math.ArrayMathUtils
 
toFloat(long[][]) - Static method in class jhplot.math.ArrayMathUtils
 
toFloat(int[][]) - Static method in class jhplot.math.ArrayMathUtils
 
toInt(double[]) - Static method in class jhplot.math.ArrayMathUtils
 
toInt(float[]) - Static method in class jhplot.math.ArrayMathUtils
 
toInt(long[]) - Static method in class jhplot.math.ArrayMathUtils
 
toInt(float[][]) - Static method in class jhplot.math.ArrayMathUtils
 
toInt(double[][]) - Static method in class jhplot.math.ArrayMathUtils
 
toInt(long[][]) - Static method in class jhplot.math.ArrayMathUtils
 
toLong(double[]) - Static method in class jhplot.math.ArrayMathUtils
 
toLong(float[]) - Static method in class jhplot.math.ArrayMathUtils
 
toLong(int[]) - Static method in class jhplot.math.ArrayMathUtils
 
toLong(float[][]) - Static method in class jhplot.math.ArrayMathUtils
 
toLong(double[][]) - Static method in class jhplot.math.ArrayMathUtils
 
toLong(int[][]) - Static method in class jhplot.math.ArrayMathUtils
 
toRadians(double) - Static method in class org.apache.commons.math.util.FastMath
Convert degrees to radians, with error of less than 0.5 ULP
toShowableHistogram(ICloud1D, int, double, double) - Static method in class hep.aida.ref.histogram.HistUtils
Create an IHistogram1D and fill it from an ICloud1D.
toShowableHistogram(ICloud2D, int, double, double, int, double, double) - Static method in class hep.aida.ref.histogram.HistUtils
Create an IHistogram2D and fill it from an ICloud2D.
toShowableHistogram(ICloud3D, int, double, double, int, double, double, int, double, double) - Static method in class hep.aida.ref.histogram.HistUtils
Create an IHistogram3D and fill it from an ICloud3D.
toSplitDouble() - Method in class org.apache.commons.math.dfp.Dfp
Convert the instance into a split double.
toString() - Method in class hep.aida.ref.event.TreeEvent
 
toString() - Method in class hep.aida.ref.function.BaseModelFunction
 
toString() - Method in class hep.aida.ref.function.FunctionCatalog
 
toString(IFunction) - Static method in class hep.aida.ref.function.FunctionCreator
 
toString() - Method in class hep.aida.ref.histogram.binner.AbstractBinner1D
 
toString() - Method in class hephysics.particle.HEParticle
Convert to string
toString() - Method in class hephysics.particle.LParticle
Convert to string
toString() - Method in class hephysics.vec.Hep3Matrix
 
toString() - Method in class hephysics.vec.Hep3Vector
 
toString() - Method in class hephysics.vec.HepLorentzVector
Convert to string
toString() - Method in class hephysics.vec.SpacePoint
Output Stream
toString(Hep3Vector) - Static method in class hephysics.vec.VecOp
 
toString(HepLorentzVector) - Static method in class hephysics.vec.VecOp
 
toString(Hep3Matrix) - Static method in class hephysics.vec.VecOp
 
toString() - Method in class jhplot.FND
Convert to string
toString() - Method in class jhplot.H1D
Convert the histogram to a string
toString() - Method in class jhplot.HLabelEq
 
toString() - Method in class jhplot.io.FileRoot
Return all root objects in form of a string.
toString(double[]) - Static method in class jhplot.math.ArrayMathUtils
Returns a comma delimited string representing the value of the array.
toString(double[][]) - Static method in class jhplot.math.ArrayMathUtils
Returns a comma delimited string representing the value of the array.
toString(int[]) - Static method in class jhplot.math.ArrayMathUtils
Returns a comma delimited string representing the value of the array.
toString(int[][]) - Static method in class jhplot.math.ArrayMathUtils
Returns a comma delimited string representing the value of the array.
toString() - Method in class jhplot.math.Complex
String representation of this Complex number.
toString(double[]...) - Static method in class jhplot.math.DoubleArray
Generates a string that holds a nicely organized space-seperated version of a matrix or array.
toString(String, double[]...) - Static method in class jhplot.math.DoubleArray
Generates a string that holds a nicely organized version of a matrix or array.
toString(int[]...) - Static method in class jhplot.math.IntegerArray
 
toString() - Method in class jhplot.math.ValueErr
Convert to a string
toString() - Method in class jhplot.P0D
Get a P0D as a string.
toString() - Method in class jhplot.P0I
Get a P0I as a string.
toString() - Method in class jhplot.P1D
Convert to a string
toString() - Method in class jhplot.P2D
Convert to a string
toString() - Method in class jhplot.PND
Get a string representing PND
toString() - Method in class jhplot.PNI
Get a string representing PNI
toString() - Method in class jhplot.shapes.Arrow
Represent it as a string
toString() - Method in class jhplot.shapes.Circle
Show it as a string
toString() - Method in class jhplot.shapes.Ellipse
Show it as a string
toString() - Method in class jhplot.shapes.Line
Show it as a string
toString() - Method in class jhplot.shapes.Picture
 
toString() - Method in class jhplot.shapes.Rectan
 
toString() - Method in class jhplot.shapes.Text
Show this object
toString() - Method in class jhplot.v3d.Vector3d
 
toString() - Method in class jminhep.cluster.DataHolder
Convert to string all entries of the data holder
toString() - Method in class jminhep.cluster.DataPoint
Returns a string representation of this DataPoint
toString() - Method in class org.apache.commons.math.analysis.polynomials.PolynomialFunction
Returns a string representation of the polynomial.
toString() - Method in class org.apache.commons.math.dfp.Dfp
Get a string representation of the instance.
toString() - Method in class org.apache.commons.math.exception.util.DummyLocalizable
toString() - Method in class org.apache.commons.math.fraction.BigFraction
Returns the String representing this fraction, ie "num / dem" or just "num" if the denominator is one.
toString() - Method in class org.apache.commons.math.fraction.Fraction
Returns the String representing this fraction, ie "num / dem" or just "num" if the denominator is one.
toString() - Method in class org.apache.commons.math.genetics.AbstractListChromosome
toString() - Method in class org.apache.commons.math.genetics.ChromosomePair
toString() - Method in class org.apache.commons.math.genetics.ListPopulation
toString() - Method in class org.apache.commons.math.genetics.RandomKey
toString() - Method in class org.apache.commons.math.geometry.RotationOrder
Get a string representation of the instance.
toString() - Method in class org.apache.commons.math.geometry.Vector3D
Get a string representation of this vector.
toString() - Method in class org.apache.commons.math.linear.AbstractFieldMatrix
Get a string representation for this matrix.
toString() - Method in class org.apache.commons.math.linear.AbstractRealMatrix
Get a string representation for this matrix.
toString() - Method in class org.apache.commons.math.linear.ArrayRealVector
toString() - Method in class org.apache.commons.math.linear.BigMatrixImpl
Deprecated. Get a string representation for this matrix.
toString() - Method in enum org.apache.commons.math.optimization.linear.Relationship
toString() - Method in class org.apache.commons.math.stat.clustering.EuclideanIntegerPoint
toString() - Method in class org.apache.commons.math.stat.descriptive.DescriptiveStatistics
Generates a text report displaying univariate statistics from values that have been added.
toString() - Method in class org.apache.commons.math.stat.descriptive.MultivariateSummaryStatistics
Generates a text report displaying summary statistics from values that have been added.
toString() - Method in class org.apache.commons.math.stat.descriptive.StatisticalSummaryValues
Generates a text report displaying values of statistics.
toString() - Method in class org.apache.commons.math.stat.descriptive.SummaryStatistics
Generates a text report displaying summary statistics from values that have been added.
toString() - Method in class org.apache.commons.math.stat.descriptive.SynchronizedDescriptiveStatistics
Generates a text report displaying univariate statistics from values that have been added.
toString() - Method in class org.apache.commons.math.stat.descriptive.SynchronizedMultivariateSummaryStatistics
Generates a text report displaying summary statistics from values that have been added.
toString() - Method in class org.apache.commons.math.stat.descriptive.SynchronizedSummaryStatistics
Generates a text report displaying summary statistics from values that have been added.
toString() - Method in class org.apache.commons.math.stat.Frequency
Return a string representation of this frequency distribution.
toString() - Method in class org.apache.commons.math.util.MultidimensionalCounter
toTable() - Method in class jhplot.F1D
Print the F1D function to a Table in a separate Frame.
toTable(boolean) - Method in class jhplot.F1D
Print the F1D function to a Table in a separate Frame.
toTable() - Method in class jhplot.H1D
Print a H1D histogram to a Table in a separate frame.
toTable(boolean) - Method in class jhplot.H1D
Print the H1D histogram to a Table in a separate Frame.
toTable(boolean) - Method in class jhplot.HProf1D
Print the profile histogram to a Table in a separate Frame.
toTable() - Method in class jhplot.P0D
Print the P0D container to a Table in a separate Frame.
toTable(boolean) - Method in class jhplot.P0D
Print the P0D array to a Table in a separate Frame.
toTable() - Method in class jhplot.P0I
Print the P0I container to a Table in a separate Frame.
toTable(boolean) - Method in class jhplot.P0I
Print the P0I array to a Table in a separate Frame.
toTable() - Method in class jhplot.P1D
Print the P1D container to a Table in a separate Frame.
toTable(boolean) - Method in class jhplot.P1D
Print the P1D container to a Table in a separate Frame.
toTable() - Method in class jhplot.P2D
Print the P2D container to a Table in a separate Frame.
toTable(boolean) - Method in class jhplot.P2D
Print the P2D container to a Table in a separate Frame.
toTable() - Method in class jhplot.P3D
Print the P2D container to a Table in a separate Frame.
toTable(boolean) - Method in class jhplot.P3D
Print the P2D container to a Table in a separate Frame.
TournamentSelection - Class in org.apache.commons.math.genetics
Tournament selection scheme.
TournamentSelection(int) - Constructor for class org.apache.commons.math.genetics.TournamentSelection
Creates a new TournamentSelection instance.
toUserX(int) - Method in class jhplot.jadraw.JaAxes
Move to User coordinates
toUserY(int) - Method in class jhplot.jadraw.JaAxes
Move to User coordinates
toX(double) - Method in class jhplot.HPlot
Convert the user coordinate X to the pixel coordinate
toX(double) - Method in class jhplot.jadraw.JaAxes
Convert the user coordinate X to the pixel coordinate
toXML(Object) - Static method in class jhplot.io.Serialized
Convert object to XML using XSream package
toY(double) - Method in class jhplot.HPlot
Convert the user coordinate Y to the pixel coordinate
toY(double) - Method in class jhplot.jadraw.JaAxes
Convert the user coordinate Y to the pixel coordinate
trace() - Method in class hephysics.vec.Hep3Matrix
Returns the trace of the matrix.
trace(double[][]) - Static method in class jhplot.math.LinearAlgebra
 
trainBackpopogation(boolean, int, double, double, double) - Method in class jhplot.HNeuralNet
Training neural network.Construct a backpropagation trainer.
TRandomVariable - Class in jhplot.math.num.random
A random variable generator for Student's t distribution.
TRandomVariable() - Constructor for class jhplot.math.num.random.TRandomVariable
Default constructor.
TRandomVariable(double) - Constructor for class jhplot.math.num.random.TRandomVariable
Create a random variable with the given degrees of freedom.
TRandomVariable(double, RNG) - Constructor for class jhplot.math.num.random.TRandomVariable
Create a random variable with the given parameters.
transform(double[]) - Method in class org.apache.commons.math.transform.FastCosineTransformer
Transform the given real data set.
transform(UnivariateRealFunction, double, double, int) - Method in class org.apache.commons.math.transform.FastCosineTransformer
Transform the given real function, sampled on the given interval.
transform(double[]) - Method in class org.apache.commons.math.transform.FastFourierTransformer
Transform the given real data set.
transform(UnivariateRealFunction, double, double, int) - Method in class org.apache.commons.math.transform.FastFourierTransformer
Transform the given real function, sampled on the given interval.
transform(Complex[]) - Method in class org.apache.commons.math.transform.FastFourierTransformer
Transform the given complex data set.
transform(double[]) - Method in class org.apache.commons.math.transform.FastHadamardTransformer
Transform the given real data set.
transform(UnivariateRealFunction, double, double, int) - Method in class org.apache.commons.math.transform.FastHadamardTransformer
Transform the given real function, sampled on the given interval.
transform(int[]) - Method in class org.apache.commons.math.transform.FastHadamardTransformer
Transform the given real data set.
transform(double[]) - Method in class org.apache.commons.math.transform.FastSineTransformer
Transform the given real data set.
transform(UnivariateRealFunction, double, double, int) - Method in class org.apache.commons.math.transform.FastSineTransformer
Transform the given real function, sampled on the given interval.
transform(double[]) - Method in interface org.apache.commons.math.transform.RealTransformer
Transform the given real data set.
transform(UnivariateRealFunction, double, double, int) - Method in interface org.apache.commons.math.transform.RealTransformer
Transform the given real function, sampled on the given interval.
transform(Object) - Method in class org.apache.commons.math.util.DefaultTransformer
 
transform(Object) - Method in interface org.apache.commons.math.util.NumberTransformer
Implementing this interface provides a facility to transform from Object to Double.
transform(Object) - Method in class org.apache.commons.math.util.TransformerMap
Attempts to transform the Object against the map of NumberTransformers.
transform2(double[]) - Method in class org.apache.commons.math.transform.FastCosineTransformer
Transform the given real data set.
transform2(UnivariateRealFunction, double, double, int) - Method in class org.apache.commons.math.transform.FastCosineTransformer
Transform the given real function, sampled on the given interval.
transform2(double[]) - Method in class org.apache.commons.math.transform.FastFourierTransformer
Transform the given real data set.
transform2(UnivariateRealFunction, double, double, int) - Method in class org.apache.commons.math.transform.FastFourierTransformer
Transform the given real function, sampled on the given interval.
transform2(Complex[]) - Method in class org.apache.commons.math.transform.FastFourierTransformer
Transform the given complex data set.
transform2(double[]) - Method in class org.apache.commons.math.transform.FastSineTransformer
Transform the given real data set.
transform2(UnivariateRealFunction, double, double, int) - Method in class org.apache.commons.math.transform.FastSineTransformer
Transform the given real function, sampled on the given interval.
TransformerMap - Class in org.apache.commons.math.util
This TansformerMap automates the transformation of mixed object types.
TransformerMap() - Constructor for class org.apache.commons.math.util.TransformerMap
Build a map containing only the default transformer.
transformers() - Method in class org.apache.commons.math.util.TransformerMap
Returns the Set of NumberTransformers used as values in the map.
translate(String) - Method in class hep.aida.ref.function.JELCompiledExpression.Resolver
 
translate(String) - Method in class hep.aida.ref.tuple.JELTupleProvider
 
transpose() - Method in class hephysics.vec.Hep3Matrix
 
transpose() - Method in class jhplot.bsom.Matrix
Transpose: X'.
transpose(double[][]) - Static method in class jhplot.math.ArrayMathUtils
Takes the transpose of an array (like the matrix operation).
transpose(int[][]) - Static method in class jhplot.math.ArrayMathUtils
Takes the transpose of an array (like the matrix operation).
transpose(double[][]) - Static method in class jhplot.math.DoubleArray
Transposes an mxn matrix into an nxm matrix.
transpose() - Method in class org.apache.commons.math.linear.AbstractFieldMatrix
Returns the transpose of this matrix.
transpose() - Method in class org.apache.commons.math.linear.AbstractRealMatrix
Returns the transpose of this matrix.
transpose() - Method in interface org.apache.commons.math.linear.BigMatrix
Deprecated. Returns the transpose of this matrix.
transpose() - Method in class org.apache.commons.math.linear.BigMatrixImpl
Deprecated. Returns the transpose matrix.
transpose() - Method in class org.apache.commons.math.linear.BlockFieldMatrix
Returns the transpose of this matrix.
transpose() - Method in class org.apache.commons.math.linear.BlockRealMatrix
Returns the transpose of this matrix.
transpose() - Method in interface org.apache.commons.math.linear.FieldMatrix
Returns the transpose of this matrix.
transpose() - Method in interface org.apache.commons.math.linear.RealMatrix
Returns the transpose of this matrix.
trapezium(int, F1D, double, double) - Static method in class jhplot.math.Numeric
Numerical integration using the trapezium rule.
trapezium2D(int, F2D, double, double, double, double) - Static method in class jhplot.math.Numeric
Numerical integration using the trapezium rule.
TrapezoidalIntegrator - Class in jhplot.math.num.integration
The extended trapezoidal rule for numerically integrating functions.
TrapezoidalIntegrator(Function) - Constructor for class jhplot.math.num.integration.TrapezoidalIntegrator
Create an integrator for the given function.
TrapezoidalIntegrator(Function, int, double) - Constructor for class jhplot.math.num.integration.TrapezoidalIntegrator
Create an integrator for the given function.
TrapezoidIntegrator - Class in org.apache.commons.math.analysis.integration
Implements the Trapezoidal Rule for integration of real univariate functions.
TrapezoidIntegrator(UnivariateRealFunction) - Constructor for class org.apache.commons.math.analysis.integration.TrapezoidIntegrator
Deprecated. as of 2.0 the integrand function is passed as an argument to the TrapezoidIntegrator.integrate(UnivariateRealFunction, double, double)method.
TrapezoidIntegrator() - Constructor for class org.apache.commons.math.analysis.integration.TrapezoidIntegrator
Construct an integrator.
Tree - Class in hep.aida.ref.tree
 
TREE_CLOSED - Static variable in class hep.aida.ref.event.TreeEvent
 
TreeEvent - Class in hep.aida.ref.event
 
TreeEvent(Object, int, String[], Class, int) - Constructor for class hep.aida.ref.event.TreeEvent
 
TreeEvent(Object, int, String[], Class, String[]) - Constructor for class hep.aida.ref.event.TreeEvent
 
treeF() - Method in class jhplot.HPlot
Return TreeFactory associated with the plot
treeF() - Method in class jhplot.HPlotJa
Return TreeFactory associated with the plot
TreeFactory - Class in hep.aida.ref.tree
 
TreeFactory(IAnalysisFactory) - Constructor for class hep.aida.ref.tree.TreeFactory
The default constructor.
TreeFolderDoesNotExistException - Exception in hep.aida.ref.tree
 
TreeFolderDoesNotExistException() - Constructor for exception hep.aida.ref.tree.TreeFolderDoesNotExistException
Creates a new instance of TreeObjectAlreadyExistException
TreeFolderDoesNotExistException(String) - Constructor for exception hep.aida.ref.tree.TreeFolderDoesNotExistException
 
TreeObjectAlreadyExistException - Exception in hep.aida.ref.tree
 
TreeObjectAlreadyExistException() - Constructor for exception hep.aida.ref.tree.TreeObjectAlreadyExistException
Creates a new instance of TreeObjectAlreadyExistException
TreeObjectAlreadyExistException(String) - Constructor for exception hep.aida.ref.tree.TreeObjectAlreadyExistException
 
triangular(double, double) - Static method in class jhplot.math.Random
Generate a random number from a symetric triangular random variable.
triangular(double, double, double) - Static method in class jhplot.math.Random
Generate a random number from a non-symetric triangular random variable.
TricubicSplineInterpolatingFunction - Class in org.apache.commons.math.analysis.interpolation
Function that implements the tricubic spline interpolation, as proposed in Tricubic interpolation in three dimensions
F.
TricubicSplineInterpolatingFunction(double[], double[], double[], double[][][], double[][][], double[][][], double[][][], double[][][], double[][][], double[][][], double[][][]) - Constructor for class org.apache.commons.math.analysis.interpolation.TricubicSplineInterpolatingFunction
 
TricubicSplineInterpolator - Class in org.apache.commons.math.analysis.interpolation
Generates a tricubic interpolating function.
TricubicSplineInterpolator() - Constructor for class org.apache.commons.math.analysis.interpolation.TricubicSplineInterpolator
 
trigamma(double) - Static method in class org.apache.commons.math.special.Gamma
Computes the trigamma function of x.
Trigonometric - Class in jhplot.math.num.special
Utility class that provides methods related to the trigonometric functions.
TrivariateRealFunction - Interface in org.apache.commons.math.analysis
An interface representing a trivariate real function.
TrivariateRealGridInterpolator - Interface in org.apache.commons.math.analysis.interpolation
Interface representing a trivariate real interpolating function where the sample points must be specified on a regular grid.
tTest(double, double[], double) - Static method in class org.apache.commons.math.stat.inference.TestUtils
 
tTest(double, double[]) - Static method in class org.apache.commons.math.stat.inference.TestUtils
 
tTest(double, StatisticalSummary, double) - Static method in class org.apache.commons.math.stat.inference.TestUtils
 
tTest(double, StatisticalSummary) - Static method in class org.apache.commons.math.stat.inference.TestUtils
 
tTest(double[], double[], double) - Static method in class org.apache.commons.math.stat.inference.TestUtils
 
tTest(double[], double[]) - Static method in class org.apache.commons.math.stat.inference.TestUtils
 
tTest(StatisticalSummary, StatisticalSummary, double) - Static method in class org.apache.commons.math.stat.inference.TestUtils
 
tTest(StatisticalSummary, StatisticalSummary) - Static method in class org.apache.commons.math.stat.inference.TestUtils
 
TTest - Interface in org.apache.commons.math.stat.inference
An interface for Student's t-tests.
tTest(double, double[]) - Method in interface org.apache.commons.math.stat.inference.TTest
Returns the observed significance level, or p-value, associated with a one-sample, two-tailed t-test comparing the mean of the input array with the constant mu.
tTest(double, double[], double) - Method in interface org.apache.commons.math.stat.inference.TTest
Performs a two-sided t-test evaluating the null hypothesis that the mean of the population from which sample is drawn equals mu.
tTest(double, StatisticalSummary) - Method in interface org.apache.commons.math.stat.inference.TTest
Returns the observed significance level, or p-value, associated with a one-sample, two-tailed t-test comparing the mean of the dataset described by sampleStats with the constant mu.
tTest(double, StatisticalSummary, double) - Method in interface org.apache.commons.math.stat.inference.TTest
Performs a two-sided t-test evaluating the null hypothesis that the mean of the population from which the dataset described by stats is drawn equals mu.
tTest(double[], double[]) - Method in interface org.apache.commons.math.stat.inference.TTest
Returns the observed significance level, or p-value, associated with a two-sample, two-tailed t-test comparing the means of the input arrays.
tTest(double[], double[], double) - Method in interface org.apache.commons.math.stat.inference.TTest
Performs a two-sided t-test evaluating the null hypothesis that sample1 and sample2 are drawn from populations with the same mean, with significance level alpha.
tTest(StatisticalSummary, StatisticalSummary) - Method in interface org.apache.commons.math.stat.inference.TTest
Returns the observed significance level, or p-value, associated with a two-sample, two-tailed t-test comparing the means of the datasets described by two StatisticalSummary instances.
tTest(StatisticalSummary, StatisticalSummary, double) - Method in interface org.apache.commons.math.stat.inference.TTest
Performs a two-sided t-test evaluating the null hypothesis that sampleStats1 and sampleStats2 describe datasets drawn from populations with the same mean, with significance level alpha.
tTest(double, double[]) - Method in class org.apache.commons.math.stat.inference.TTestImpl
Returns the observed significance level, or p-value, associated with a one-sample, two-tailed t-test comparing the mean of the input array with the constant mu.
tTest(double, double[], double) - Method in class org.apache.commons.math.stat.inference.TTestImpl
Performs a two-sided t-test evaluating the null hypothesis that the mean of the population from which sample is drawn equals mu.
tTest(double, StatisticalSummary) - Method in class org.apache.commons.math.stat.inference.TTestImpl
Returns the observed significance level, or p-value, associated with a one-sample, two-tailed t-test comparing the mean of the dataset described by sampleStats with the constant mu.
tTest(double, StatisticalSummary, double) - Method in class org.apache.commons.math.stat.inference.TTestImpl
Performs a two-sided t-test evaluating the null hypothesis that the mean of the population from which the dataset described by stats is drawn equals mu.
tTest(double[], double[]) - Method in class org.apache.commons.math.stat.inference.TTestImpl
Returns the observed significance level, or p-value, associated with a two-sample, two-tailed t-test comparing the means of the input arrays.
tTest(double[], double[], double) - Method in class org.apache.commons.math.stat.inference.TTestImpl
Performs a two-sided t-test evaluating the null hypothesis that sample1 and sample2 are drawn from populations with the same mean, with significance level alpha.
tTest(StatisticalSummary, StatisticalSummary) - Method in class org.apache.commons.math.stat.inference.TTestImpl
Returns the observed significance level, or p-value, associated with a two-sample, two-tailed t-test comparing the means of the datasets described by two StatisticalSummary instances.
tTest(StatisticalSummary, StatisticalSummary, double) - Method in class org.apache.commons.math.stat.inference.TTestImpl
Performs a two-sided t-test evaluating the null hypothesis that sampleStats1 and sampleStats2 describe datasets drawn from populations with the same mean, with significance level alpha.
TTestImpl - Class in org.apache.commons.math.stat.inference
Implements t-test statistics defined in the TTest interface.
TTestImpl() - Constructor for class org.apache.commons.math.stat.inference.TTestImpl
Default constructor.
TTestImpl(TDistribution) - Constructor for class org.apache.commons.math.stat.inference.TTestImpl
Deprecated. in 2.2 (to be removed in 3.0).
tuple(int) - Method in class hep.aida.ref.tuple.AbstractTuple
 
tuple(int) - Method in interface hep.aida.ref.tuple.FTuple
 
tuple(int) - Method in class hep.aida.ref.tuple.FTupleAdapter
 
Tuple - Class in hep.aida.ref.tuple
 
Tuple(String, String, String[], Class[], String) - Constructor for class hep.aida.ref.tuple.Tuple
 
Tuple(String, String, String, String) - Constructor for class hep.aida.ref.tuple.Tuple
 
Tuple.TupleColumnFactory - Class in hep.aida.ref.tuple
 
Tuple.TupleColumnFactory() - Constructor for class hep.aida.ref.tuple.Tuple.TupleColumnFactory
 
TupleColumn - Class in hep.aida.ref.tuple
 
TupleColumn.TupleColumnBoolean - Class in hep.aida.ref.tuple
 
TupleColumn.TupleColumnByte - Class in hep.aida.ref.tuple
 
TupleColumn.TupleColumnChar - Class in hep.aida.ref.tuple
 
TupleColumn.TupleColumnDouble - Class in hep.aida.ref.tuple
 
TupleColumn.TupleColumnFloat - Class in hep.aida.ref.tuple
 
TupleColumn.TupleColumnFolder - Class in hep.aida.ref.tuple
 
TupleColumn.TupleColumnInt - Class in hep.aida.ref.tuple
 
TupleColumn.TupleColumnLong - Class in hep.aida.ref.tuple
 
TupleColumn.TupleColumnObject - Class in hep.aida.ref.tuple
 
TupleColumn.TupleColumnShort - Class in hep.aida.ref.tuple
 
TupleColumn.TupleColumnString - Class in hep.aida.ref.tuple
 
TupleCursor - Class in hep.aida.ref.tuple
 
TupleCursor(int, int, boolean) - Constructor for class hep.aida.ref.tuple.TupleCursor
 
TupleEvent - Class in hep.aida.ref.tuple
 
TupleEvent(Object) - Constructor for class hep.aida.ref.tuple.TupleEvent
 
TupleFactory - Class in hep.aida.ref.tuple
 
TupleFactory(ITree) - Constructor for class hep.aida.ref.tuple.TupleFactory
 
TWO - Static variable in class org.apache.commons.math.fraction.BigFraction
A fraction representing "2 / 1".
TWO - Static variable in class org.apache.commons.math.fraction.Fraction
A fraction representing "2 / 1".
TWO_FIFTHS - Static variable in class org.apache.commons.math.fraction.BigFraction
A fraction representing "2/5".
TWO_FIFTHS - Static variable in class org.apache.commons.math.fraction.Fraction
A fraction representing "2/5".
TWO_PI - Static variable in class org.apache.commons.math.util.MathUtils
2 π.
TWO_QUARTERS - Static variable in class org.apache.commons.math.fraction.BigFraction
A fraction representing "2/4".
TWO_QUARTERS - Static variable in class org.apache.commons.math.fraction.Fraction
A fraction representing "2/4".
TWO_THIRDS - Static variable in class org.apache.commons.math.fraction.BigFraction
A fraction representing "2/3".
TWO_THIRDS - Static variable in class org.apache.commons.math.fraction.Fraction
A fraction representing "2/3".
twoBodyDecay(HEParticle, HEParticle, boolean) - Method in class hephysics.particle.HEParticle
Evaluates 4-vector of decay product in the rest frame of parent.
twoBodyDecay(LParticle, LParticle, boolean) - Method in class hephysics.particle.LParticle
Evaluates 4-vector of decay product in the rest frame of parent.
twoDarray(int, int) - Static method in class jhplot.math.ValueErr
Create a two dimensional array of ValueErr objects of dimensions n and m with zeros
type() - Method in class hep.aida.ref.function.Range
Get the IRange type.
type() - Method in class hep.aida.ref.GenericFactory
 
type() - Method in class hep.aida.ref.ManagedObject
 
type() - Method in class hep.aida.ref.tree.Folder
 
type() - Method in class hep.aida.ref.tree.Link
 
type() - Method in class hep.aida.ref.tree.MountPoint
 
type() - Method in class hep.aida.ref.tuple.AbstractTuple.AbstractTupleColumnFactory.BaseTupleColumn
 
type() - Method in class hep.aida.ref.tuple.AbstractTuple.AbstractTupleColumnFactory.ITupleTupleColumn
 
type() - Method in interface hep.aida.ref.tuple.FTupleColumn
 
type() - Method in class hep.aida.ref.tuple.TupleColumn
 
typeForClass(Class) - Static method in class hep.aida.ref.ManagedObject
 

U

ULP - Static variable in class org.apache.commons.math.analysis.ComposableFunction
The FastMath.ulp method wrapped as a ComposableFunction.
ulp(double) - Static method in class org.apache.commons.math.util.FastMath
Compute least significant bit (Unit in Last Position) for a number.
ulp(float) - Static method in class org.apache.commons.math.util.FastMath
Compute least significant bit (Unit in Last Position) for a number.
UnbinnedMaximumLikelihoodFitMethod - Class in hep.aida.ref.fitter.fitmethod
 
UnbinnedMaximumLikelihoodFitMethod() - Constructor for class hep.aida.ref.fitter.fitmethod.UnbinnedMaximumLikelihoodFitMethod
 
UnboundedSolutionException - Exception in org.apache.commons.math.optimization.linear
This class represents exceptions thrown by optimizers when a solution escapes to infinity.
UnboundedSolutionException() - Constructor for exception org.apache.commons.math.optimization.linear.UnboundedSolutionException
Simple constructor using a default message.
UncorrelatedRandomVectorGenerator - Class in org.apache.commons.math.random
A RandomVectorGenerator that generates vectors with uncorrelated components.
UncorrelatedRandomVectorGenerator(double[], double[], NormalizedRandomGenerator) - Constructor for class org.apache.commons.math.random.UncorrelatedRandomVectorGenerator
Simple constructor.
UncorrelatedRandomVectorGenerator(int, NormalizedRandomGenerator) - Constructor for class org.apache.commons.math.random.UncorrelatedRandomVectorGenerator
Simple constructor.
unequal(Dfp) - Method in class org.apache.commons.math.dfp.Dfp
Check if instance is not equal to x.
UnfillableHistogramException - Exception in hep.aida.ref.histogram
Exception thrown if an IHistogram is unfillable.
UnfillableHistogramException() - Constructor for exception hep.aida.ref.histogram.UnfillableHistogramException
 
Uniform - Class in jhplot.math.num.pdf
The Uniform distribution (1).
Uniform() - Constructor for class jhplot.math.num.pdf.Uniform
Default constructor.
Uniform(double, double) - Constructor for class jhplot.math.num.pdf.Uniform
Create a distribution with the given lower bound and upper bound values.
uniform(double, double) - Static method in class jhplot.math.Random
Generate a random number from a uniform random variable.
UNIFORM_BOUNDS - Static variable in class jhplot.math.Slicing
 
UNIFORM_MODE - Static variable in class org.apache.commons.math.random.ValueServer
Uniform random deviates with mean = μ.
UniformRandomGenerator - Class in org.apache.commons.math.random
This class implements a normalized uniform random generator.
UniformRandomGenerator(RandomGenerator) - Constructor for class org.apache.commons.math.random.UniformRandomGenerator
Create a new generator.
UniformRandomVariable - Class in jhplot.math.num.random
A random variable generator for the Uniform distribution.
UniformRandomVariable() - Constructor for class jhplot.math.num.random.UniformRandomVariable
Default constructor.
UniformRandomVariable(double, double) - Constructor for class jhplot.math.num.random.UniformRandomVariable
Create a random variable with the given lower bound and upper bound values.
UniformRandomVariable(double, double, RNG) - Constructor for class jhplot.math.num.random.UniformRandomVariable
Create a random variable with the given parameters.
unit(Hep3Vector) - Method in class hephysics.vec.Hep3Vector
returns (0,0,0) vector if input vector has length 0
unit(Hep3Vector) - Static method in class hephysics.vec.VecOp
returns (0,0,0) vector if input vector has length 0
unitize() - Method in class org.apache.commons.math.linear.AbstractRealVector
Converts this vector into a unit vector.
unitize() - Method in class org.apache.commons.math.linear.ArrayRealVector
Converts this vector into a unit vector.
unitize() - Method in class org.apache.commons.math.linear.OpenMapRealVector
Converts this vector into a unit vector.
unitize() - Method in interface org.apache.commons.math.linear.RealVector
Converts this vector into a unit vector.
UnitSphereRandomVectorGenerator - Class in org.apache.commons.math.random
Generate random vectors isotropically located on the surface of a sphere.
UnitSphereRandomVectorGenerator(int, RandomGenerator) - Constructor for class org.apache.commons.math.random.UnitSphereRandomVectorGenerator
 
UnitSphereRandomVectorGenerator(int) - Constructor for class org.apache.commons.math.random.UnitSphereRandomVectorGenerator
Create an object that will use a default RNG (MersenneTwister), in order to generate the individual components.
unitVector() - Method in class org.apache.commons.math.linear.AbstractRealVector
Creates a unit vector pointing in the direction of this vector.
unitVector() - Method in class org.apache.commons.math.linear.ArrayRealVector
Creates a unit vector pointing in the direction of this vector.
unitVector() - Method in class org.apache.commons.math.linear.OpenMapRealVector
Creates a unit vector pointing in the direction of this vector.
unitVector() - Method in interface org.apache.commons.math.linear.RealVector
Creates a unit vector pointing in the direction of this vector.
UnivariateMatrixFunction - Interface in org.apache.commons.math.analysis
An interface representing a univariate matrix function.
UnivariateRealFunction - Interface in org.apache.commons.math.analysis
An interface representing a univariate real function.
UnivariateRealIntegrator - Interface in org.apache.commons.math.analysis.integration
Interface for univariate real integration algorithms.
UnivariateRealIntegratorImpl - Class in org.apache.commons.math.analysis.integration
Provide a default implementation for several generic functions.
UnivariateRealInterpolator - Interface in org.apache.commons.math.analysis.interpolation
Interface representing a univariate real interpolating function.
UnivariateRealOptimizer - Interface in org.apache.commons.math.optimization
Interface for (univariate real) optimization algorithms.
UnivariateRealSolver - Interface in org.apache.commons.math.analysis.solvers
Interface for (univariate real) rootfinding algorithms.
UnivariateRealSolverFactory - Class in org.apache.commons.math.analysis.solvers
Abstract factory class used to create UnivariateRealSolver instances.
UnivariateRealSolverFactoryImpl - Class in org.apache.commons.math.analysis.solvers
A concrete UnivariateRealSolverFactory.
UnivariateRealSolverFactoryImpl() - Constructor for class org.apache.commons.math.analysis.solvers.UnivariateRealSolverFactoryImpl
Default constructor.
UnivariateRealSolverImpl - Class in org.apache.commons.math.analysis.solvers
Deprecated. in 2.2 (to be removed in 3.0).
UnivariateRealSolverUtils - Class in org.apache.commons.math.analysis.solvers
Utility routines for UnivariateRealSolver objects.
UnivariateStatistic - Interface in org.apache.commons.math.stat.descriptive
Base interface implemented by all statistics.
UnivariateVectorialFunction - Interface in org.apache.commons.math.analysis
An interface representing a univariate vectorial function.
UnknownDistributionChiSquareTest - Interface in org.apache.commons.math.stat.inference
An interface for Chi-Square tests for unknown distributions.
unmount(String) - Method in class hep.aida.ref.tree.Tree
Unmount a subtree at a given path (mount point).
update() - Method in class jhplot.HChart
Update all plots
update(int, int) - Method in class jhplot.HChart
Update the chart
update(int, int) - Method in class jhplot.HPlot
Refresh only a particular plot
update() - Method in class jhplot.HPlot
Just update the current plot selected using cd() method
update() - Method in class jhplot.HPlot2D
Update current canvas
update(int, int) - Method in class jhplot.HPlot3D
Refresh only a particular plot
update() - Method in class jhplot.HPlot3D
Update the graphics
update() - Method in class jhplot.HPlot3DP
Just update the current plot selected using cd() method
update() - Method in class jhplot.HPlotJa
Update the canvas by repainting all objects
update(int, int) - Method in class jhplot.HView3D
Refresh only a particular plot
update() - Method in class jhplot.HView3D
Just update the current plot selected using cd() method
update() - Method in class jhplot.HZirkel
Update the canvas with new objects.
update(Object, String) - Method in class jhplot.io.HDataBase
Update the database with a new value
update() - Method in class jhplot.SPlot
Repaint the plot and update all graphics.
update(Graphics) - Method in class jhplot.v3d.Animation
 
update(Graphics) - Method in class jhplot.v3d.Canvas3d
 
updateAll() - Method in class jhplot.HPlot
Refresh all the plots on the same canvas HPLOT
updateAll() - Method in class jhplot.HPlot3D
Refresh all the plots on the same canvas HPLOT
updateAll() - Method in class jhplot.HPlot3DP
Refresh all the plots on the same canvas HPLOT
updateAll() - Method in class jhplot.HView3D
Refresh all the plots on the same canvas HPLOT
updateCoor() - Method in class jhplot.jadraw.JaObject
 
updateData(int, int) - Method in class jhplot.HPlot3D
Update data on the plot
updateData() - Method in class jhplot.HPlot3D
Update data on the plot
updateDivideByRowVector(Matrix) - Method in class jhplot.bsom.Matrix
X_{ij} = X_{ij}/v_{j}.
updateExp() - Method in class jhplot.bsom.Matrix
Update by exponential : exp(X_{ij})
updateFrame() - Method in class jhplot.GHFrame
update frame UI
updateGraphIfShowing() - Method in class jhplot.HPlot
Update the graph if it is showing.
updateHighOrderDerivativesPhase1(Array2DRowRealMatrix) - Method in class org.apache.commons.math.ode.nonstiff.AdamsIntegrator
Update the high order scaled derivatives for Adams integrators (phase 1).
updateHighOrderDerivativesPhase1(Array2DRowRealMatrix) - Method in class org.apache.commons.math.ode.nonstiff.AdamsNordsieckTransformer
Update the high order scaled derivatives for Adams integrators (phase 1).
updateHighOrderDerivativesPhase2(double[], double[], Array2DRowRealMatrix) - Method in class org.apache.commons.math.ode.nonstiff.AdamsIntegrator
Update the high order scaled derivatives Adams integrators (phase 2).
updateHighOrderDerivativesPhase2(double[], double[], Array2DRowRealMatrix) - Method in class org.apache.commons.math.ode.nonstiff.AdamsNordsieckTransformer
Update the high order scaled derivatives Adams integrators (phase 2).
updateLinearConv(double, double, Matrix) - Method in class jhplot.bsom.Matrix
Update by Linear conversion: X = a*X + b*Y.
updateNDC() - Method in class jhplot.jadraw.JaObject
 
updateRecord(RecordWriter) - Method in class jhplot.io.BaseRecordsFile
Updates an existing record.
updateSettings(XMLRead) - Method in class jhplot.shapes.HShape
Update the current primitive with the settings.
updateSummary() - Method in class jhplot.P1D
Update summary of the data.
upperBound() - Method in class hep.aida.ref.fitter.FitParameterSettings
 
upperBound() - Method in class hep.aida.ref.function.Range
Get the upper bound.
upperBounds() - Method in class hep.aida.ref.function.RangeSet
 
upperCumulativeProbability(int) - Method in class org.apache.commons.math.distribution.HypergeometricDistributionImpl
For this distribution, X, this method returns P(X ≥ x).
upperEdge() - Method in class hep.aida.ref.histogram.Cloud1D
Get the Cloud's upper edge.
upperEdge() - Method in class hep.aida.ref.histogram.FixedAxis
Get the Axis upper edge.
upperEdge() - Method in class hep.aida.ref.histogram.VariableAxis
 
upperEdgeWithMargin() - Method in class hep.aida.ref.histogram.Cloud1D
 
upperEdgeX() - Method in class hep.aida.ref.histogram.Cloud2D
Get the Cloud's x upper edge.
upperEdgeX() - Method in class hep.aida.ref.histogram.Cloud3D
Get the Cloud's x upper edge.
upperEdgeXWithMargin() - Method in class hep.aida.ref.histogram.Cloud2D
 
upperEdgeXWithMargin() - Method in class hep.aida.ref.histogram.Cloud3D
 
upperEdgeY() - Method in class hep.aida.ref.histogram.Cloud2D
Get the Cloud's y upper edge.
upperEdgeY() - Method in class hep.aida.ref.histogram.Cloud3D
Get the Cloud's y upper edge.
upperEdgeYWithMargin() - Method in class hep.aida.ref.histogram.Cloud2D
 
upperEdgeYWithMargin() - Method in class hep.aida.ref.histogram.Cloud3D
 
upperEdgeZ() - Method in class hep.aida.ref.histogram.Cloud3D
Get the Cloud's z upper edge.
upperEdgeZWithMargin() - Method in class hep.aida.ref.histogram.Cloud3D
 
upperExtent(int) - Method in class hep.aida.ref.histogram.DataPoint
Get the upper value for a give axis.
upperExtent(int) - Method in class hep.aida.ref.histogram.DataPointSet
 
UPSIDE_VARIANCE - Static variable in class org.apache.commons.math.stat.descriptive.moment.SemiVariance
The UPSIDE Direction is used to specify that the observations above the cutoff point will be used to calculate SemiVariance.
useFunctionGradient() - Method in class hep.aida.ref.fitter.Fitter
 
useNumberOfTics(int) - Method in class jhplot.HPlot
Returns whether or not to use a fixed number of ticks.
USER_HOME - Static variable in class jhplot.HPlotJa
The current user's home directory.
USER_NAME - Static variable in class jhplot.HPlotJa
The current user.
UserFunction - Class in hep.aida.ref.function
 
UserFunction() - Constructor for class hep.aida.ref.function.UserFunction
 
UserFunction(String) - Constructor for class hep.aida.ref.function.UserFunction
 
UserFunction(String[], String[]) - Constructor for class hep.aida.ref.function.UserFunction
 
Util - Class in jhplot.v3d
Various useful functions of general purpose.

V

v() - Method in class hephysics.vec.Hep3Vector
 
v() - Method in class hephysics.vec.SpacePoint
Returns the space point as a double array in its internal representation
v3() - Method in class hephysics.vec.HepLorentzVector
Get 3-vector
vabs() - Method in class jhplot.v3d.Vector3d
 
value(String) - Method in class hep.aida.ref.Annotation
Retrieve the value for a given key.
value(int) - Method in class hep.aida.ref.Annotation
Get the value corresponding to the item in a given position in the Annotation.
value() - Method in class hep.aida.ref.fitter.fitdata.FitDataIterator
 
value(double[]) - Method in class hep.aida.ref.fitter.InternalFitFunction
 
value(double[]) - Method in class hep.aida.ref.function.AbstractDevModelFunction
 
value(double[]) - Method in class hep.aida.ref.function.AbstractIFunction
Provide value for your function here.
value(double[]) - Method in class hep.aida.ref.function.BaseModelFunction
 
value(double[]) - Method in class hep.aida.ref.function.NonParametricFunction
 
value(double[]) - Method in class hep.aida.ref.function.SumOfFunctions
 
value(double[]) - Method in class hep.aida.ref.function.UserFunction
 
value(int) - Method in class hep.aida.ref.histogram.Cloud1D
Get a given value from the Cloud.
value() - Method in class hep.aida.ref.histogram.Measurement
 
value() - Method in class hep.aida.ref.tuple.AbstractTuple.AbstractTupleColumnFactory.BooleanTupleColumn
 
value() - Method in class hep.aida.ref.tuple.AbstractTuple.AbstractTupleColumnFactory.ByteTupleColumn
 
value() - Method in class hep.aida.ref.tuple.AbstractTuple.AbstractTupleColumnFactory.CharTupleColumn
 
value() - Method in class hep.aida.ref.tuple.AbstractTuple.AbstractTupleColumnFactory.DoubleTupleColumn
 
value() - Method in class hep.aida.ref.tuple.AbstractTuple.AbstractTupleColumnFactory.FloatTupleColumn
 
value() - Method in class hep.aida.ref.tuple.AbstractTuple.AbstractTupleColumnFactory.IntTupleColumn
 
value() - Method in class hep.aida.ref.tuple.AbstractTuple.AbstractTupleColumnFactory.ITupleTupleColumn
 
value() - Method in class hep.aida.ref.tuple.AbstractTuple.AbstractTupleColumnFactory.LongTupleColumn
 
value() - Method in class hep.aida.ref.tuple.AbstractTuple.AbstractTupleColumnFactory.ObjectTupleColumn
 
value() - Method in class hep.aida.ref.tuple.AbstractTuple.AbstractTupleColumnFactory.ShortTupleColumn
 
value() - Method in class hep.aida.ref.tuple.AbstractTuple.AbstractTupleColumnFactory.StringTupleColumn
 
value(int, Value) - Method in class hep.aida.ref.tuple.TupleColumn.TupleColumnBoolean
 
value() - Method in class hep.aida.ref.tuple.TupleColumn.TupleColumnBoolean
 
value(int, Value) - Method in class hep.aida.ref.tuple.TupleColumn.TupleColumnByte
 
value() - Method in class hep.aida.ref.tuple.TupleColumn.TupleColumnByte
 
value(int, Value) - Method in class hep.aida.ref.tuple.TupleColumn.TupleColumnChar
 
value() - Method in class hep.aida.ref.tuple.TupleColumn.TupleColumnChar
 
value(int, Value) - Method in class hep.aida.ref.tuple.TupleColumn.TupleColumnDouble
 
value() - Method in class hep.aida.ref.tuple.TupleColumn.TupleColumnDouble
 
value(int, Value) - Method in class hep.aida.ref.tuple.TupleColumn.TupleColumnFloat
 
value() - Method in class hep.aida.ref.tuple.TupleColumn.TupleColumnFloat
 
value(int, Value) - Method in class hep.aida.ref.tuple.TupleColumn.TupleColumnFolder
 
value() - Method in class hep.aida.ref.tuple.TupleColumn.TupleColumnFolder
 
value(int, Value) - Method in class hep.aida.ref.tuple.TupleColumn.TupleColumnInt
 
value() - Method in class hep.aida.ref.tuple.TupleColumn.TupleColumnInt
 
value(int, Value) - Method in class hep.aida.ref.tuple.TupleColumn.TupleColumnLong
 
value() - Method in class hep.aida.ref.tuple.TupleColumn.TupleColumnLong
 
value(int, Value) - Method in class hep.aida.ref.tuple.TupleColumn.TupleColumnObject
 
value() - Method in class hep.aida.ref.tuple.TupleColumn.TupleColumnObject
 
value(int, Value) - Method in class hep.aida.ref.tuple.TupleColumn.TupleColumnShort
 
value() - Method in class hep.aida.ref.tuple.TupleColumn.TupleColumnShort
 
value(int, Value) - Method in class hep.aida.ref.tuple.TupleColumn.TupleColumnString
 
value() - Method in class hep.aida.ref.tuple.TupleColumn.TupleColumnString
 
value(FTupleCursor, Value) - Method in class hep.aida.ref.tuple.TupleColumn
 
value(int, Value) - Method in class hep.aida.ref.tuple.TupleColumn
 
value(double[]) - Method in class jhplot.fit.BreitWigner
 
value(double[]) - Method in class jhplot.fit.Exponent
 
value(double[]) - Method in class jhplot.fit.Gauss
 
value(double[]) - Method in class jhplot.fit.Landau
 
value(double[]) - Method in class jhplot.fit.NegativeBinomial
Get value of this function
value(double[]) - Method in class jhplot.fit.P0
 
value(double[]) - Method in class jhplot.fit.P1
 
value(double[]) - Method in class jhplot.fit.P2
 
value(double[]) - Method in class jhplot.fit.P3
 
value(double[]) - Method in class jhplot.fit.P4
 
value(double[]) - Method in class jhplot.fit.P5
 
value(double[]) - Method in class jhplot.fit.P6
 
value(double[]) - Method in class jhplot.fit.Poisson
 
value(double[]) - Method in class jhplot.fit.Pow
 
value(double[]) - Method in class jhplot.fit.PowModified
 
value(double, double) - Method in class org.apache.commons.math.analysis.BinaryFunction
Deprecated. Compute the value for the function.
value(double, double) - Method in interface org.apache.commons.math.analysis.BivariateRealFunction
Compute the value for the function.
value(double) - Method in class org.apache.commons.math.analysis.ComposableFunction
Compute the value for the function.
value(double, double) - Method in class org.apache.commons.math.analysis.interpolation.BicubicSplineInterpolatingFunction
Compute the value for the function.
value(double[]) - Method in class org.apache.commons.math.analysis.interpolation.MicrosphereInterpolatingFunction
 
value(double, double, double) - Method in class org.apache.commons.math.analysis.interpolation.TricubicSplineInterpolatingFunction
Compute the value for the function.
value(double[]) - Method in interface org.apache.commons.math.analysis.MultivariateMatrixFunction
Compute the value for the function at the given point.
value(double[]) - Method in interface org.apache.commons.math.analysis.MultivariateRealFunction
Compute the value for the function at the given point.
value(double[]) - Method in interface org.apache.commons.math.analysis.MultivariateVectorialFunction
Compute the value for the function at the given point.
value(double) - Method in class org.apache.commons.math.analysis.polynomials.PolynomialFunction
Compute the value of the function for the given argument.
value(double) - Method in class org.apache.commons.math.analysis.polynomials.PolynomialFunctionLagrangeForm
Compute the value for the function.
value(double) - Method in class org.apache.commons.math.analysis.polynomials.PolynomialFunctionNewtonForm
Calculate the function value at the given point.
value(double) - Method in class org.apache.commons.math.analysis.polynomials.PolynomialSplineFunction
Compute the value for the function.
value(double, double, double) - Method in interface org.apache.commons.math.analysis.TrivariateRealFunction
Compute the value for the function.
value(double) - Method in interface org.apache.commons.math.analysis.UnivariateMatrixFunction
Compute the value for the function.
value(double) - Method in interface org.apache.commons.math.analysis.UnivariateRealFunction
Compute the value for the function.
value(double) - Method in interface org.apache.commons.math.analysis.UnivariateVectorialFunction
Compute the value for the function.
value(double) - Method in class org.apache.commons.math.optimization.fitting.GaussianDerivativeFunction
Compute the value for the function.
value(double) - Method in class org.apache.commons.math.optimization.fitting.GaussianFunction
Compute the value for the function.
value(double) - Method in class org.apache.commons.math.optimization.fitting.HarmonicFunction
Compute the value for the function.
value(double, double[]) - Method in class org.apache.commons.math.optimization.fitting.ParametricGaussianFunction
Computes value of function f(x) for the specified x and parameters a, b, c, and d.
value(double, double[]) - Method in interface org.apache.commons.math.optimization.fitting.ParametricRealFunction
Compute the value of the function.
value(double[]) - Method in class org.apache.commons.math.optimization.LeastSquaresConverter
Compute the value for the function at the given point.
value() - Method in class org.apache.commons.math.util.OpenIntToDoubleHashMap.Iterator
Get the value of current entry.
value() - Method in class org.apache.commons.math.util.OpenIntToFieldHashMap.Iterator
Get the value of current entry.
valueArea(double[][], String, String) - Method in class jhplot.HChart
Set a value to Area data set.
valueBar(double, String, String) - Method in class jhplot.HChart
Set a value to a Bar chart.
valueBar3D(double, String, String) - Method in class jhplot.HChart
Set a value to a 3D Bar chart.
valueChanged(TreeSelectionEvent) - Method in class jhplot.root.RootHistogramBrowser
 
ValueErr - Class in jhplot.math
A value represented with the number (value) and associated error.
ValueErr() - Constructor for class jhplot.math.ValueErr
Initialize error propagations
ValueErr(double) - Constructor for class jhplot.math.ValueErr
Initialize with value and set error=0
ValueErr(double, double) - Constructor for class jhplot.math.ValueErr
Initialize error propagation
valueHistogram(double[]) - Method in class jhplot.HChart
Set data to make a histogram.
valueHistogram(double[], String, int, double, double) - Method in class jhplot.HChart
Build a histogram from an array.
valueLine(double, String, String) - Method in class jhplot.HChart
Set a value to a Line chart.
valueOf(String) - Static method in enum hephysics.vec.SpacePoint.Representation
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.apache.commons.math.dfp.DfpField.RoundingMode
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.apache.commons.math.exception.util.LocalizedFormats
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.apache.commons.math.optimization.general.ConjugateGradientFormula
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.apache.commons.math.optimization.GoalType
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.apache.commons.math.optimization.linear.Relationship
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.apache.commons.math.stat.clustering.KMeansPlusPlusClusterer.EmptyClusterStrategy
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.apache.commons.math.stat.descriptive.moment.SemiVariance.Direction
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.apache.commons.math.stat.ranking.NaNStrategy
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.apache.commons.math.stat.ranking.TiesStrategy
Returns the enum constant of this type with the specified name.
valueOf(String) - Static method in enum org.apache.commons.math.util.MathUtils.OrderDirection
Returns the enum constant of this type with the specified name.
valuePie(String, double) - Method in class jhplot.HChart
Set a value to pie data set
valuePie3D(String, double) - Method in class jhplot.HChart
Set a value to 3D pie data set.
values() - Static method in enum hephysics.vec.SpacePoint.Representation
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.apache.commons.math.dfp.DfpField.RoundingMode
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.apache.commons.math.exception.util.LocalizedFormats
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.apache.commons.math.optimization.general.ConjugateGradientFormula
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.apache.commons.math.optimization.GoalType
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.apache.commons.math.optimization.linear.Relationship
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.apache.commons.math.stat.clustering.KMeansPlusPlusClusterer.EmptyClusterStrategy
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.apache.commons.math.stat.descriptive.moment.SemiVariance.Direction
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.apache.commons.math.stat.ranking.NaNStrategy
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.apache.commons.math.stat.ranking.TiesStrategy
Returns an array containing the constants of this enum type, in the order they are declared.
values() - Static method in enum org.apache.commons.math.util.MathUtils.OrderDirection
Returns an array containing the constants of this enum type, in the order they are declared.
ValueServer - Class in org.apache.commons.math.random
Generates values for use in simulation applications.
ValueServer() - Constructor for class org.apache.commons.math.random.ValueServer
Creates new ValueServer
ValueServer(RandomData) - Constructor for class org.apache.commons.math.random.ValueServer
Construct a ValueServer instance using a RandomData as its source of random data.
valuesIterator() - Method in class org.apache.commons.math.stat.Frequency
Returns an Iterator over the set of values that have been added.
valueX(int) - Method in class hep.aida.ref.histogram.Cloud2D
Get a given x value from the Cloud.
valueX(int) - Method in class hep.aida.ref.histogram.Cloud3D
Get a given x value from the Cloud.
valueXY(P1D) - Method in class jhplot.HChart
Set XY data from a P1D.
valueXYerrors(P1D) - Method in class jhplot.HChart
Set XY data from a P1D.
valueY(int) - Method in class hep.aida.ref.histogram.Cloud2D
Get a given y value from the Cloud.
valueY(int) - Method in class hep.aida.ref.histogram.Cloud3D
Get a given y value from the Cloud.
valueZ(int) - Method in class hep.aida.ref.histogram.Cloud3D
Get a given z value from the Cloud.
VariableAxis - Class in hep.aida.ref.histogram
Variable-width axis; A reference implementation of hep.aida.IAxis.
VariableAxis(double[]) - Constructor for class hep.aida.ref.histogram.VariableAxis
Constructs and returns an axis with the given bin edges.
variableModel - Variable in class jhplot.io.HFileBrowser
 
variableModel - Variable in class jhplot.io.PFileBrowser
 
variableName(int) - Method in class hep.aida.ref.fitter.InternalFitFunction
 
variableName(int) - Method in class hep.aida.ref.function.AbstractDevModelFunction
 
variableName(int) - Method in class hep.aida.ref.function.AbstractIFunction
 
variableName(int) - Method in class hep.aida.ref.function.BaseModelFunction
 
variableName(int) - Method in class hep.aida.ref.function.SumOfFunctions
 
variableNames() - Method in class hep.aida.ref.fitter.InternalFitFunction
 
variableNames() - Method in class hep.aida.ref.function.AbstractDevModelFunction
 
variableNames() - Method in class hep.aida.ref.function.AbstractIFunction
 
variableNames() - Method in class hep.aida.ref.function.BaseModelFunction
 
variableNames() - Method in class hep.aida.ref.function.SumOfFunctions
 
variance(double[]) - Static method in class jhplot.math.ArrayMathUtils
Computes the (bias-corrected sample) variance.
variance(int[]) - Static method in class jhplot.math.ArrayMathUtils
Computes the (bias-corrected sample) variance.
variance(double[]) - Static method in class jhplot.math.StatisticSample
Variance
variance(double[][]) - Static method in class jhplot.math.StatisticSample
Variance
variance() - Method in class jhplot.P0D
Returns the variance.
variance() - Method in class jhplot.P0I
Returns the variance.
variance(double[]) - Static method in class jhplot.stat.Statistics
Variance
variance(double[][]) - Static method in class jhplot.stat.Statistics
Variance
Variance - Class in org.apache.commons.math.stat.descriptive.moment
Computes the variance of the available values.
Variance() - Constructor for class org.apache.commons.math.stat.descriptive.moment.Variance
Constructs a Variance with default (true) isBiasCorrected property.
Variance(SecondMoment) - Constructor for class org.apache.commons.math.stat.descriptive.moment.Variance
Constructs a Variance based on an external second moment.
Variance(boolean) - Constructor for class org.apache.commons.math.stat.descriptive.moment.Variance
Constructs a Variance with the specified isBiasCorrected property
Variance(boolean, SecondMoment) - Constructor for class org.apache.commons.math.stat.descriptive.moment.Variance
Constructs a Variance with the specified isBiasCorrected property and the supplied external second moment.
Variance(Variance) - Constructor for class org.apache.commons.math.stat.descriptive.moment.Variance
Copy constructor, creates a new Variance identical to the original
variance(double[]) - Static method in class org.apache.commons.math.stat.StatUtils
Returns the variance of the entries in the input array, or Double.NaN if the array is empty.
variance(double[], int, int) - Static method in class org.apache.commons.math.stat.StatUtils
Returns the variance of the entries in the specified portion of the input array, or Double.NaN if the designated subarray is empty.
variance(double[], double, int, int) - Static method in class org.apache.commons.math.stat.StatUtils
Returns the variance of the entries in the specified portion of the input array, using the precomputed mean value.
variance(double[], double) - Static method in class org.apache.commons.math.stat.StatUtils
Returns the variance of the entries in the input array, using the precomputed mean value.
varianceDifference(double[], double[], double) - Static method in class org.apache.commons.math.stat.StatUtils
Returns the variance of the (signed) differences between corresponding elements of the input arrays -- i.e., var(sample1[i] - sample2[i]).
varianceX() - Method in class jhplot.P1D
Returns variance for X-values.
varianceY() - Method in class jhplot.P1D
Returns variance for Y-values.
vars() - Method in class hep.aida.ref.fitter.fitdata.FitDataIterator
 
VecOp - Class in hephysics.vec
Utility methods for dealing with 3 and 4 vectors.
Vector3d - Class in jhplot.v3d
Vector manipulations
Vector3d() - Constructor for class jhplot.v3d.Vector3d
 
Vector3d(Vector3d) - Constructor for class jhplot.v3d.Vector3d
 
Vector3d(float, float, float) - Constructor for class jhplot.v3d.Vector3d
 
Vector3D - Class in org.apache.commons.math.geometry
This class implements vectors in a three-dimensional space.
Vector3D(double, double, double) - Constructor for class org.apache.commons.math.geometry.Vector3D
Simple constructor.
Vector3D(double, double) - Constructor for class org.apache.commons.math.geometry.Vector3D
Simple constructor.
Vector3D(double, Vector3D) - Constructor for class org.apache.commons.math.geometry.Vector3D
Multiplicative constructor Build a vector from another one and a scale factor.
Vector3D(double, Vector3D, double, Vector3D) - Constructor for class org.apache.commons.math.geometry.Vector3D
Linear constructor Build a vector from two other ones and corresponding scale factors.
Vector3D(double, Vector3D, double, Vector3D, double, Vector3D) - Constructor for class org.apache.commons.math.geometry.Vector3D
Linear constructor Build a vector from three other ones and corresponding scale factors.
Vector3D(double, Vector3D, double, Vector3D, double, Vector3D, double, Vector3D) - Constructor for class org.apache.commons.math.geometry.Vector3D
Linear constructor Build a vector from four other ones and corresponding scale factors.
Vector3DFormat - Class in org.apache.commons.math.geometry
Formats a 3D vector in components list format "{x; y; z}".
Vector3DFormat() - Constructor for class org.apache.commons.math.geometry.Vector3DFormat
Create an instance with default settings.
Vector3DFormat(NumberFormat) - Constructor for class org.apache.commons.math.geometry.Vector3DFormat
Create an instance with a custom number format for components.
Vector3DFormat(String, String, String) - Constructor for class org.apache.commons.math.geometry.Vector3DFormat
Create an instance with custom prefix, suffix and separator.
Vector3DFormat(String, String, String, NumberFormat) - Constructor for class org.apache.commons.math.geometry.Vector3DFormat
Create an instance with custom prefix, suffix, separator and format for components.
VectorialConvergenceChecker - Interface in org.apache.commons.math.optimization
This interface specifies how to check if a optimization algorithm has converged.
VectorialCovariance - Class in org.apache.commons.math.stat.descriptive.moment
Returns the covariance matrix of the available vectors.
VectorialCovariance(int, boolean) - Constructor for class org.apache.commons.math.stat.descriptive.moment.VectorialCovariance
Constructs a VectorialCovariance.
VectorialMean - Class in org.apache.commons.math.stat.descriptive.moment
Returns the arithmetic mean of the available vectors.
VectorialMean(int) - Constructor for class org.apache.commons.math.stat.descriptive.moment.VectorialMean
Constructs a VectorialMean.
VectorialPointValuePair - Class in org.apache.commons.math.optimization
This class holds a point and the vectorial value of an objective function at this point.
VectorialPointValuePair(double[], double[]) - Constructor for class org.apache.commons.math.optimization.VectorialPointValuePair
Build a point/objective function value pair.
VectorialPointValuePair(double[], double[], boolean) - Constructor for class org.apache.commons.math.optimization.VectorialPointValuePair
Build a point/objective function value pair.
verifyDataSet(double[]) - Static method in class org.apache.commons.math.transform.FastFourierTransformer
Verifies that the data set has length of power of 2.
verifyDataSet(Object[]) - Static method in class org.apache.commons.math.transform.FastFourierTransformer
Verifies that the data set has length of power of 2.
verifyInterpolationArray(double[], double[]) - Static method in class org.apache.commons.math.analysis.polynomials.PolynomialFunctionLagrangeForm
Verifies that the interpolation arrays are valid.
verifyInterval(double, double) - Static method in class org.apache.commons.math.transform.FastFourierTransformer
Verifies that the endpoints specify an interval.
VERSION - Static variable in class jhplot.HPlotJa
The current version of japlot.jaxodraw.
Version - Static variable in class jhplot.HZirkel
 
VERSION_NUMBER - Static variable in class jhplot.HPlotJa
The version number of this release of japlot.jaxodraw.
Vertex(int, float, float) - Static method in class jhplot.jadraw.Diagram
Get a vertex object
verticalSum() - Method in class jhplot.bsom.Matrix
Make a vertical-summation vector.
VHolder - Class in jhplot
A class to transform any HPlot container (H1D,H2D,P1D..) to a vector for further manipulations
VHolder(H1D, boolean) - Constructor for class jhplot.VHolder
Create a VHolder object with H1D histogram
VHolder(F1D, boolean) - Constructor for class jhplot.VHolder
Create a VHolder object with F1D function
VHolder(DataHolder, boolean) - Constructor for class jhplot.VHolder
Get Vectors from multidimensional data container
VHolder(P1D, boolean) - Constructor for class jhplot.VHolder
Create a VHolder object from P1D container.
VHolder(P2D, boolean) - Constructor for class jhplot.VHolder
Create a VHolder object from P2D container.
VHolder(P0D, boolean) - Constructor for class jhplot.VHolder
Create a VHolder object from P0D container.
VHolder(P0I, boolean) - Constructor for class jhplot.VHolder
Create a VHolder object from P0D container.
VHolder(P3D, boolean) - Constructor for class jhplot.VHolder
Create a VHolder object from P3D container.
viewHisto(boolean) - Method in class jhplot.HPlot
If true, then this suppresses all negative values in Y, i.e.
visible(boolean) - Method in class jhplot.HBsom
Set frame visible or not
visible() - Method in class jhplot.HBsom
Set visible frame
visible() - Method in class jhplot.HCellular
Set visible frame
visible(boolean) - Method in class jhplot.HChart
Set the canvas frame visible or not
visible() - Method in class jhplot.HChart
Set the canvas frame visible
visible(boolean) - Method in class jhplot.HGraph
Set the canvas frame visible or not
visible() - Method in class jhplot.HGraph
Set the canvas frame visible
visible(boolean) - Method in class jhplot.HPlot
Set the canvas frame visible or not
visible() - Method in class jhplot.HPlot
Set the canvas frame visible
visible(boolean) - Method in class jhplot.HPlot2D
Set the canvas frame visible or not
visible() - Method in class jhplot.HPlot2D
Set the canvas frame visible
visible(boolean) - Method in class jhplot.HPlot3D
Set the canvas frame visible or not
visible() - Method in class jhplot.HPlot3D
Show the canvas
visible(boolean) - Method in class jhplot.HPlot3DP
Set the canvas frame visible or not
visible() - Method in class jhplot.HPlot3DP
Set the canvas frame visible
visible(boolean) - Method in class jhplot.HPlotJa
Set the canvas frame visible or not
visible() - Method in class jhplot.HPlotJa
Set the canvas frame visible
visible(boolean) - Method in class jhplot.HView3D
Set the canvas frame visible or not
visible() - Method in class jhplot.HView3D
Set the canvas frame visible
visible(boolean) - Method in class jhplot.SPlot
Show or not the frame
visible() - Method in class jhplot.SPlot
Show the frame.
visit(int, int, T) - Method in class org.apache.commons.math.linear.DefaultFieldMatrixChangingVisitor
Visit one matrix entry.
visit(int, int, T) - Method in class org.apache.commons.math.linear.DefaultFieldMatrixPreservingVisitor
Visit one matrix entry.
visit(int, int, double) - Method in class org.apache.commons.math.linear.DefaultRealMatrixChangingVisitor
Visit one matrix entry.
visit(int, int, double) - Method in class org.apache.commons.math.linear.DefaultRealMatrixPreservingVisitor
Visit one matrix entry.
visit(int, int, T) - Method in interface org.apache.commons.math.linear.FieldMatrixChangingVisitor
Visit one matrix entry.
visit(int, int, T) - Method in interface org.apache.commons.math.linear.FieldMatrixPreservingVisitor
Visit one matrix entry.
visit(int, int, double) - Method in interface org.apache.commons.math.linear.RealMatrixChangingVisitor
Visit one matrix entry.
visit(int, int, double) - Method in interface org.apache.commons.math.linear.RealMatrixPreservingVisitor
Visit one matrix entry.
volume() - Method in class hep.aida.ref.function.Grid
 

W

walkInColumnOrder(FieldMatrixChangingVisitor<T>) - Method in class org.apache.commons.math.linear.AbstractFieldMatrix
Visit (and possibly change) all matrix entries in column order.
walkInColumnOrder(FieldMatrixPreservingVisitor<T>) - Method in class org.apache.commons.math.linear.AbstractFieldMatrix
Visit (but don't change) all matrix entries in column order.
walkInColumnOrder(FieldMatrixChangingVisitor<T>, int, int, int, int) - Method in class org.apache.commons.math.linear.AbstractFieldMatrix
Visit (and possibly change) some matrix entries in column order.
walkInColumnOrder(FieldMatrixPreservingVisitor<T>, int, int, int, int) - Method in class org.apache.commons.math.linear.AbstractFieldMatrix
Visit (but don't change) some matrix entries in column order.
walkInColumnOrder(RealMatrixChangingVisitor) - Method in class org.apache.commons.math.linear.AbstractRealMatrix
Visit (and possibly change) all matrix entries in column order.
walkInColumnOrder(RealMatrixPreservingVisitor) - Method in class org.apache.commons.math.linear.AbstractRealMatrix
Visit (but don't change) all matrix entries in column order.
walkInColumnOrder(RealMatrixChangingVisitor, int, int, int, int) - Method in class org.apache.commons.math.linear.AbstractRealMatrix
Visit (and possibly change) some matrix entries in column order.
walkInColumnOrder(RealMatrixPreservingVisitor, int, int, int, int) - Method in class org.apache.commons.math.linear.AbstractRealMatrix
Visit (but don't change) some matrix entries in column order.
walkInColumnOrder(FieldMatrixChangingVisitor<T>) - Method in class org.apache.commons.math.linear.Array2DRowFieldMatrix
Visit (and possibly change) all matrix entries in column order.
walkInColumnOrder(FieldMatrixPreservingVisitor<T>) - Method in class org.apache.commons.math.linear.Array2DRowFieldMatrix
Visit (but don't change) all matrix entries in column order.
walkInColumnOrder(FieldMatrixChangingVisitor<T>, int, int, int, int) - Method in class org.apache.commons.math.linear.Array2DRowFieldMatrix
Visit (and possibly change) some matrix entries in column order.
walkInColumnOrder(FieldMatrixPreservingVisitor<T>, int, int, int, int) - Method in class org.apache.commons.math.linear.Array2DRowFieldMatrix
Visit (but don't change) some matrix entries in column order.
walkInColumnOrder(RealMatrixChangingVisitor) - Method in class org.apache.commons.math.linear.Array2DRowRealMatrix
Visit (and possibly change) all matrix entries in column order.
walkInColumnOrder(RealMatrixPreservingVisitor) - Method in class org.apache.commons.math.linear.Array2DRowRealMatrix
Visit (but don't change) all matrix entries in column order.
walkInColumnOrder(RealMatrixChangingVisitor, int, int, int, int) - Method in class org.apache.commons.math.linear.Array2DRowRealMatrix
Visit (and possibly change) some matrix entries in column order.
walkInColumnOrder(RealMatrixPreservingVisitor, int, int, int, int) - Method in class org.apache.commons.math.linear.Array2DRowRealMatrix
Visit (but don't change) some matrix entries in column order.
walkInColumnOrder(FieldMatrixChangingVisitor<T>) - Method in interface org.apache.commons.math.linear.FieldMatrix
Visit (and possibly change) all matrix entries in column order.
walkInColumnOrder(FieldMatrixPreservingVisitor<T>) - Method in interface org.apache.commons.math.linear.FieldMatrix
Visit (but don't change) all matrix entries in column order.
walkInColumnOrder(FieldMatrixChangingVisitor<T>, int, int, int, int) - Method in interface org.apache.commons.math.linear.FieldMatrix
Visit (and possibly change) some matrix entries in column order.
walkInColumnOrder(FieldMatrixPreservingVisitor<T>, int, int, int, int) - Method in interface org.apache.commons.math.linear.FieldMatrix
Visit (but don't change) some matrix entries in column order.
walkInColumnOrder(RealMatrixChangingVisitor) - Method in interface org.apache.commons.math.linear.RealMatrix
Visit (and possibly change) all matrix entries in column order.
walkInColumnOrder(RealMatrixPreservingVisitor) - Method in interface org.apache.commons.math.linear.RealMatrix
Visit (but don't change) all matrix entries in column order.
walkInColumnOrder(RealMatrixChangingVisitor, int, int, int, int) - Method in interface org.apache.commons.math.linear.RealMatrix
Visit (and possibly change) some matrix entries in column order.
walkInColumnOrder(RealMatrixPreservingVisitor, int, int, int, int) - Method in interface org.apache.commons.math.linear.RealMatrix
Visit (but don't change) some matrix entries in column order.
walkInColumnOrder(RealMatrixChangingVisitor) - Method in class org.apache.commons.math.linear.RealMatrixImpl
Deprecated. Visit (and possibly change) all matrix entries in column order.
walkInColumnOrder(RealMatrixPreservingVisitor) - Method in class org.apache.commons.math.linear.RealMatrixImpl
Deprecated. Visit (but don't change) all matrix entries in column order.
walkInColumnOrder(RealMatrixChangingVisitor, int, int, int, int) - Method in class org.apache.commons.math.linear.RealMatrixImpl
Deprecated. Visit (and possibly change) some matrix entries in column order.
walkInColumnOrder(RealMatrixPreservingVisitor, int, int, int, int) - Method in class org.apache.commons.math.linear.RealMatrixImpl
Deprecated. Visit (but don't change) some matrix entries in column order.
walkInOptimizedOrder(FieldMatrixChangingVisitor<T>) - Method in class org.apache.commons.math.linear.AbstractFieldMatrix
Visit (and possibly change) all matrix entries using the fastest possible order.
walkInOptimizedOrder(FieldMatrixPreservingVisitor<T>) - Method in class org.apache.commons.math.linear.AbstractFieldMatrix
Visit (but don't change) all matrix entries using the fastest possible order.
walkInOptimizedOrder(FieldMatrixChangingVisitor<T>, int, int, int, int) - Method in class org.apache.commons.math.linear.AbstractFieldMatrix
Visit (and possibly change) some matrix entries using the fastest possible order.
walkInOptimizedOrder(FieldMatrixPreservingVisitor<T>, int, int, int, int) - Method in class org.apache.commons.math.linear.AbstractFieldMatrix
Visit (but don't change) some matrix entries using the fastest possible order.
walkInOptimizedOrder(RealMatrixChangingVisitor) - Method in class org.apache.commons.math.linear.AbstractRealMatrix
Visit (and possibly change) all matrix entries using the fastest possible order.
walkInOptimizedOrder(RealMatrixPreservingVisitor) - Method in class org.apache.commons.math.linear.AbstractRealMatrix
Visit (but don't change) all matrix entries using the fastest possible order.
walkInOptimizedOrder(RealMatrixChangingVisitor, int, int, int, int) - Method in class org.apache.commons.math.linear.AbstractRealMatrix
Visit (and possibly change) some matrix entries using the fastest possible order.
walkInOptimizedOrder(RealMatrixPreservingVisitor, int, int, int, int) - Method in class org.apache.commons.math.linear.AbstractRealMatrix
Visit (but don't change) some matrix entries using the fastest possible order.
walkInOptimizedOrder(FieldMatrixChangingVisitor<T>) - Method in class org.apache.commons.math.linear.BlockFieldMatrix
Visit (and possibly change) all matrix entries using the fastest possible order.
walkInOptimizedOrder(FieldMatrixPreservingVisitor<T>) - Method in class org.apache.commons.math.linear.BlockFieldMatrix
Visit (but don't change) all matrix entries using the fastest possible order.
walkInOptimizedOrder(FieldMatrixChangingVisitor<T>, int, int, int, int) - Method in class org.apache.commons.math.linear.BlockFieldMatrix
Visit (and possibly change) some matrix entries using the fastest possible order.
walkInOptimizedOrder(FieldMatrixPreservingVisitor<T>, int, int, int, int) - Method in class org.apache.commons.math.linear.BlockFieldMatrix
Visit (but don't change) some matrix entries using the fastest possible order.
walkInOptimizedOrder(RealMatrixChangingVisitor) - Method in class org.apache.commons.math.linear.BlockRealMatrix
Visit (and possibly change) all matrix entries using the fastest possible order.
walkInOptimizedOrder(RealMatrixPreservingVisitor) - Method in class org.apache.commons.math.linear.BlockRealMatrix
Visit (but don't change) all matrix entries using the fastest possible order.
walkInOptimizedOrder(RealMatrixChangingVisitor, int, int, int, int) - Method in class org.apache.commons.math.linear.BlockRealMatrix
Visit (and possibly change) some matrix entries using the fastest possible order.
walkInOptimizedOrder(RealMatrixPreservingVisitor, int, int, int, int) - Method in class org.apache.commons.math.linear.BlockRealMatrix
Visit (but don't change) some matrix entries using the fastest possible order.
walkInOptimizedOrder(FieldMatrixChangingVisitor<T>) - Method in interface org.apache.commons.math.linear.FieldMatrix
Visit (and possibly change) all matrix entries using the fastest possible order.
walkInOptimizedOrder(FieldMatrixPreservingVisitor<T>) - Method in interface org.apache.commons.math.linear.FieldMatrix
Visit (but don't change) all matrix entries using the fastest possible order.
walkInOptimizedOrder(FieldMatrixChangingVisitor<T>, int, int, int, int) - Method in interface org.apache.commons.math.linear.FieldMatrix
Visit (and possibly change) some matrix entries using the fastest possible order.
walkInOptimizedOrder(FieldMatrixPreservingVisitor<T>, int, int, int, int) - Method in interface org.apache.commons.math.linear.FieldMatrix
Visit (but don't change) some matrix entries using the fastest possible order.
walkInOptimizedOrder(RealMatrixChangingVisitor) - Method in interface org.apache.commons.math.linear.RealMatrix
Visit (and possibly change) all matrix entries using the fastest possible order.
walkInOptimizedOrder(RealMatrixPreservingVisitor) - Method in interface org.apache.commons.math.linear.RealMatrix
Visit (but don't change) all matrix entries using the fastest possible order.
walkInOptimizedOrder(RealMatrixChangingVisitor, int, int, int, int) - Method in interface org.apache.commons.math.linear.RealMatrix
Visit (and possibly change) some matrix entries using the fastest possible order.
walkInOptimizedOrder(RealMatrixPreservingVisitor, int, int, int, int) - Method in interface org.apache.commons.math.linear.RealMatrix
Visit (but don't change) some matrix entries using the fastest possible order.
walkInRowOrder(FieldMatrixChangingVisitor<T>) - Method in class org.apache.commons.math.linear.AbstractFieldMatrix
Visit (and possibly change) all matrix entries in row order.
walkInRowOrder(FieldMatrixPreservingVisitor<T>) - Method in class org.apache.commons.math.linear.AbstractFieldMatrix
Visit (but don't change) all matrix entries in row order.
walkInRowOrder(FieldMatrixChangingVisitor<T>, int, int, int, int) - Method in class org.apache.commons.math.linear.AbstractFieldMatrix
Visit (and possibly change) some matrix entries in row order.
walkInRowOrder(FieldMatrixPreservingVisitor<T>, int, int, int, int) - Method in class org.apache.commons.math.linear.AbstractFieldMatrix
Visit (but don't change) some matrix entries in row order.
walkInRowOrder(RealMatrixChangingVisitor) - Method in class org.apache.commons.math.linear.AbstractRealMatrix
Visit (and possibly change) all matrix entries in row order.
walkInRowOrder(RealMatrixPreservingVisitor) - Method in class org.apache.commons.math.linear.AbstractRealMatrix
Visit (but don't change) all matrix entries in row order.
walkInRowOrder(RealMatrixChangingVisitor, int, int, int, int) - Method in class org.apache.commons.math.linear.AbstractRealMatrix
Visit (and possibly change) some matrix entries in row order.
walkInRowOrder(RealMatrixPreservingVisitor, int, int, int, int) - Method in class org.apache.commons.math.linear.AbstractRealMatrix
Visit (but don't change) some matrix entries in row order.
walkInRowOrder(FieldMatrixChangingVisitor<T>) - Method in class org.apache.commons.math.linear.Array2DRowFieldMatrix
Visit (and possibly change) all matrix entries in row order.
walkInRowOrder(FieldMatrixPreservingVisitor<T>) - Method in class org.apache.commons.math.linear.Array2DRowFieldMatrix
Visit (but don't change) all matrix entries in row order.
walkInRowOrder(FieldMatrixChangingVisitor<T>, int, int, int, int) - Method in class org.apache.commons.math.linear.Array2DRowFieldMatrix
Visit (and possibly change) some matrix entries in row order.
walkInRowOrder(FieldMatrixPreservingVisitor<T>, int, int, int, int) - Method in class org.apache.commons.math.linear.Array2DRowFieldMatrix
Visit (but don't change) some matrix entries in row order.
walkInRowOrder(RealMatrixChangingVisitor) - Method in class org.apache.commons.math.linear.Array2DRowRealMatrix
Visit (and possibly change) all matrix entries in row order.
walkInRowOrder(RealMatrixPreservingVisitor) - Method in class org.apache.commons.math.linear.Array2DRowRealMatrix
Visit (but don't change) all matrix entries in row order.
walkInRowOrder(RealMatrixChangingVisitor, int, int, int, int) - Method in class org.apache.commons.math.linear.Array2DRowRealMatrix
Visit (and possibly change) some matrix entries in row order.
walkInRowOrder(RealMatrixPreservingVisitor, int, int, int, int) - Method in class org.apache.commons.math.linear.Array2DRowRealMatrix
Visit (but don't change) some matrix entries in row order.
walkInRowOrder(FieldMatrixChangingVisitor<T>) - Method in class org.apache.commons.math.linear.BlockFieldMatrix
Visit (and possibly change) all matrix entries in row order.
walkInRowOrder(FieldMatrixPreservingVisitor<T>) - Method in class org.apache.commons.math.linear.BlockFieldMatrix
Visit (but don't change) all matrix entries in row order.
walkInRowOrder(FieldMatrixChangingVisitor<T>, int, int, int, int) - Method in class org.apache.commons.math.linear.BlockFieldMatrix
Visit (and possibly change) some matrix entries in row order.
walkInRowOrder(FieldMatrixPreservingVisitor<T>, int, int, int, int) - Method in class org.apache.commons.math.linear.BlockFieldMatrix
Visit (but don't change) some matrix entries in row order.
walkInRowOrder(RealMatrixChangingVisitor) - Method in class org.apache.commons.math.linear.BlockRealMatrix
Visit (and possibly change) all matrix entries in row order.
walkInRowOrder(RealMatrixPreservingVisitor) - Method in class org.apache.commons.math.linear.BlockRealMatrix
Visit (but don't change) all matrix entries in row order.
walkInRowOrder(RealMatrixChangingVisitor, int, int, int, int) - Method in class org.apache.commons.math.linear.BlockRealMatrix
Visit (and possibly change) some matrix entries in row order.
walkInRowOrder(RealMatrixPreservingVisitor, int, int, int, int) - Method in class org.apache.commons.math.linear.BlockRealMatrix
Visit (but don't change) some matrix entries in row order.
walkInRowOrder(FieldMatrixChangingVisitor<T>) - Method in interface org.apache.commons.math.linear.FieldMatrix
Visit (and possibly change) all matrix entries in row order.
walkInRowOrder(FieldMatrixPreservingVisitor<T>) - Method in interface org.apache.commons.math.linear.FieldMatrix
Visit (but don't change) all matrix entries in row order.
walkInRowOrder(FieldMatrixChangingVisitor<T>, int, int, int, int) - Method in interface org.apache.commons.math.linear.FieldMatrix
Visit (and possibly change) some matrix entries in row order.
walkInRowOrder(FieldMatrixPreservingVisitor<T>, int, int, int, int) - Method in interface org.apache.commons.math.linear.FieldMatrix
Visit (but don't change) some matrix entries in row order.
walkInRowOrder(RealMatrixChangingVisitor) - Method in interface org.apache.commons.math.linear.RealMatrix
Visit (and possibly change) all matrix entries in row order.
walkInRowOrder(RealMatrixPreservingVisitor) - Method in interface org.apache.commons.math.linear.RealMatrix
Visit (but don't change) all matrix entries in row order.
walkInRowOrder(RealMatrixChangingVisitor, int, int, int, int) - Method in interface org.apache.commons.math.linear.RealMatrix
Visit (and possibly change) some matrix entries in row order.
walkInRowOrder(RealMatrixPreservingVisitor, int, int, int, int) - Method in interface org.apache.commons.math.linear.RealMatrix
Visit (but don't change) some matrix entries in row order.
walkInRowOrder(RealMatrixChangingVisitor) - Method in class org.apache.commons.math.linear.RealMatrixImpl
Deprecated. Visit (and possibly change) all matrix entries in row order.
walkInRowOrder(RealMatrixPreservingVisitor) - Method in class org.apache.commons.math.linear.RealMatrixImpl
Deprecated. Visit (but don't change) all matrix entries in row order.
walkInRowOrder(RealMatrixChangingVisitor, int, int, int, int) - Method in class org.apache.commons.math.linear.RealMatrixImpl
Deprecated. Visit (and possibly change) some matrix entries in row order.
walkInRowOrder(RealMatrixPreservingVisitor, int, int, int, int) - Method in class org.apache.commons.math.linear.RealMatrixImpl
Deprecated. Visit (but don't change) some matrix entries in row order.
WEB_SITE - Static variable in class jhplot.HPlotJa
The japlot.jaxodraw web site.
Weibull - Class in jhplot.math.num.pdf
The Weibull distribution.
Weibull() - Constructor for class jhplot.math.num.pdf.Weibull
Default constructor.
Weibull(double, double) - Constructor for class jhplot.math.num.pdf.Weibull
Create a distribution with the given parameters.
Weibull(double, double, double) - Constructor for class jhplot.math.num.pdf.Weibull
Create a distribution with the given parameters.
weibull(double, double) - Static method in class jhplot.math.Random
Generate a random number from a Weibull random variable.
WeibullDistribution - Interface in org.apache.commons.math.distribution
Weibull Distribution.
WeibullDistributionImpl - Class in org.apache.commons.math.distribution
Default implementation of WeibullDistribution.
WeibullDistributionImpl(double, double) - Constructor for class org.apache.commons.math.distribution.WeibullDistributionImpl
Creates weibull distribution with the given shape and scale and a location equal to zero.
WeibullDistributionImpl(double, double, double) - Constructor for class org.apache.commons.math.distribution.WeibullDistributionImpl
Creates weibull distribution with the given shape, scale and inverse cumulative probability accuracy and a location equal to zero.
WeibullRandomVariable - Class in jhplot.math.num.random
A random variable generator for the Weibull distribution.
WeibullRandomVariable() - Constructor for class jhplot.math.num.random.WeibullRandomVariable
Default constructor.
WeibullRandomVariable(double, double) - Constructor for class jhplot.math.num.random.WeibullRandomVariable
Create a rnadom variable with the given shape and scale values.
WeibullRandomVariable(double, double, double) - Constructor for class jhplot.math.num.random.WeibullRandomVariable
Create a random variable with the given parameters.
WeibullRandomVariable(double, double, double, RNG) - Constructor for class jhplot.math.num.random.WeibullRandomVariable
Create a random variable with the given parameters.
WeibullRandomVariable(double, double, RNG) - Constructor for class jhplot.math.num.random.WeibullRandomVariable
Create a random variable with the given shape and scale values.
weight(int) - Method in class hep.aida.ref.histogram.Cloud1D
Get a given weight from the Cloud.
weight(int) - Method in class hep.aida.ref.histogram.Cloud2D
Get a given weight from the Cloud.
weight(int) - Method in class hep.aida.ref.histogram.Cloud3D
Get a given weight from the Cloud.
WeightedEvaluation - Interface in org.apache.commons.math.stat.descriptive
Weighted evaluation for statistics.
weightedMean(String, IDataPointSet, IDataPointSet) - Method in class hep.aida.ref.histogram.DataPointSetFactory
 
WeightedMeasurement - Class in org.apache.commons.math.estimation
Deprecated. as of 2.0, everything in package org.apache.commons.math.estimation has been deprecated and replaced by package org.apache.commons.math.optimization.general
WeightedMeasurement(double, double) - Constructor for class org.apache.commons.math.estimation.WeightedMeasurement
Deprecated. Simple constructor.
WeightedMeasurement(double, double, boolean) - Constructor for class org.apache.commons.math.estimation.WeightedMeasurement
Deprecated. Simple constructor.
WeightedObservedPoint - Class in org.apache.commons.math.optimization.fitting
This class is a simple container for weighted observed point in curve fitting.
WeightedObservedPoint(double, double, double) - Constructor for class org.apache.commons.math.optimization.fitting.WeightedObservedPoint
Simple constructor.
Well1024a - Class in org.apache.commons.math.random
This class implements the WELL1024a pseudo-random number generator from François Panneton, Pierre L'Ecuyer and Makoto Matsumoto.
Well1024a() - Constructor for class org.apache.commons.math.random.Well1024a
Creates a new random number generator.
Well1024a(int) - Constructor for class org.apache.commons.math.random.Well1024a
Creates a new random number generator using a single int seed.
Well1024a(int[]) - Constructor for class org.apache.commons.math.random.Well1024a
Creates a new random number generator using an int array seed.
Well1024a(long) - Constructor for class org.apache.commons.math.random.Well1024a
Creates a new random number generator using a single long seed.
Well19937a - Class in org.apache.commons.math.random
This class implements the WELL19937a pseudo-random number generator from François Panneton, Pierre L'Ecuyer and Makoto Matsumoto.
Well19937a() - Constructor for class org.apache.commons.math.random.Well19937a
Creates a new random number generator.
Well19937a(int) - Constructor for class org.apache.commons.math.random.Well19937a
Creates a new random number generator using a single int seed.
Well19937a(int[]) - Constructor for class org.apache.commons.math.random.Well19937a
Creates a new random number generator using an int array seed.
Well19937a(long) - Constructor for class org.apache.commons.math.random.Well19937a
Creates a new random number generator using a single long seed.
Well19937c - Class in org.apache.commons.math.random
This class implements the WELL19937c pseudo-random number generator from François Panneton, Pierre L'Ecuyer and Makoto Matsumoto.
Well19937c() - Constructor for class org.apache.commons.math.random.Well19937c
Creates a new random number generator.
Well19937c(int) - Constructor for class org.apache.commons.math.random.Well19937c
Creates a new random number generator using a single int seed.
Well19937c(int[]) - Constructor for class org.apache.commons.math.random.Well19937c
Creates a new random number generator using an int array seed.
Well19937c(long) - Constructor for class org.apache.commons.math.random.Well19937c
Creates a new random number generator using a single long seed.
Well44497a - Class in org.apache.commons.math.random
This class implements the WELL44497a pseudo-random number generator from François Panneton, Pierre L'Ecuyer and Makoto Matsumoto.
Well44497a() - Constructor for class org.apache.commons.math.random.Well44497a
Creates a new random number generator.
Well44497a(int) - Constructor for class org.apache.commons.math.random.Well44497a
Creates a new random number generator using a single int seed.
Well44497a(int[]) - Constructor for class org.apache.commons.math.random.Well44497a
Creates a new random number generator using an int array seed.
Well44497a(long) - Constructor for class org.apache.commons.math.random.Well44497a
Creates a new random number generator using a single long seed.
Well44497b - Class in org.apache.commons.math.random
This class implements the WELL44497b pseudo-random number generator from François Panneton, Pierre L'Ecuyer and Makoto Matsumoto.
Well44497b() - Constructor for class org.apache.commons.math.random.Well44497b
Creates a new random number generator.
Well44497b(int) - Constructor for class org.apache.commons.math.random.Well44497b
Creates a new random number generator using a single int seed.
Well44497b(int[]) - Constructor for class org.apache.commons.math.random.Well44497b
Creates a new random number generator using an int array seed.
Well44497b(long) - Constructor for class org.apache.commons.math.random.Well44497b
Creates a new random number generator using a single long seed.
Well512a - Class in org.apache.commons.math.random
This class implements the WELL512a pseudo-random number generator from François Panneton, Pierre L'Ecuyer and Makoto Matsumoto.
Well512a() - Constructor for class org.apache.commons.math.random.Well512a
Creates a new random number generator.
Well512a(int) - Constructor for class org.apache.commons.math.random.Well512a
Creates a new random number generator using a single int seed.
Well512a(int[]) - Constructor for class org.apache.commons.math.random.Well512a
Creates a new random number generator using an int array seed.
Well512a(long) - Constructor for class org.apache.commons.math.random.Well512a
Creates a new random number generator using a single long seed.
write(String) - Method in class jhplot.HBook
write an external XML file with all HBook objects (H1D, H2D, P1D)
write(String) - Method in class jhplot.HPlot
Write HPlot file and inserts graphs to the main frame.
write(ArrayList<String>) - Method in class jhplot.io.csv.CSVWriter
Writes the next line to the file.
write(PEventFile.HEvent.Builder) - Method in class jhplot.io.EFile
Add a data structure to a file
write(Object) - Method in class jhplot.io.HFile
Add an object to a file
write(Object) - Method in class jhplot.io.HFileXML
Add an object to a XML file
write(Object) - Method in class jhplot.io.PFile
Add an object to a file.
write(Object, String, boolean) - Static method in class jhplot.io.Serialized
Write an object to a serialized file.
write(Object, String) - Static method in class jhplot.io.Serialized
Write an object to a serialized file.
write(File, String) - Static method in class jhplot.math.io.ASCIIFile
 
write(String, boolean) - Method in class jhplot.math.io.ASCIIFile
Write a text in an ASCII File
write(int) - Method in class jhplot.math.io.BinaryOutputStream
Write a text in a binary File
write(int) - Method in class jhplot.math.io.LEDataOutputStream
 
write(byte[], int, int) - Method in class jhplot.math.io.LEDataOutputStream
 
write(byte[]) - Method in class jhplot.math.io.LEDataOutputStream
 
write(int) - Method in class jhplot.math.io.LERandomAccessFile
 
write(byte[], int, int) - Method in class jhplot.math.io.LERandomAccessFile
 
write(byte[]) - Method in class jhplot.math.io.LERandomAccessFile
 
write(String) - Method in class jhplot.PND
Write a PND to an external file.
write(String) - Method in class jhplot.PNI
Write a PNI to an external file.
write(String) - Method in class jhplot.SPlot
Write the current plot to a XML file
writeAll(List<String[]>) - Method in class jhplot.io.csv.CSVWriter
Writes the entire list to a CSV file.
writeAll(ResultSet, boolean) - Method in class jhplot.io.csv.CSVWriter
Writes the entire ResultSet to a CSV file.
writeAllLists(ArrayList<ArrayList<String>>) - Method in class jhplot.io.csv.CSVWriter
Writes the entire list to a CSV file.
writeBinary(String) - Method in class jhplot.P0D
Write a P0D to a binary file (big endian by default).
writeBinary(String) - Method in class jhplot.P0I
Write a P0I to a binary file (big endian by default).
writeBoolean(boolean) - Method in class jhplot.math.io.LEDataOutputStream
 
writeBoolean(boolean) - Method in class jhplot.math.io.LERandomAccessFile
 
writeByte(byte, boolean) - Method in class jhplot.math.io.BinaryFile
Write a text in a binary File
writeByte(byte, boolean) - Method in class jhplot.math.io.BinaryOutputStream
Write a text in a binary File
writeByte(int) - Method in class jhplot.math.io.LEDataOutputStream
 
writeByte(int) - Method in class jhplot.math.io.LERandomAccessFile
 
writeByteArray(byte[], boolean) - Method in class jhplot.math.io.BinaryFile
Write a text in a binary File
writeByteArray(byte[], boolean) - Method in class jhplot.math.io.BinaryOutputStream
Write a text in a binary File
writeBytes(String) - Method in class jhplot.math.io.LEDataOutputStream
 
writeBytes(String) - Method in class jhplot.math.io.LERandomAccessFile
 
writeChar(int) - Method in class jhplot.math.io.LEDataOutputStream
 
writeChar(int) - Method in class jhplot.math.io.LERandomAccessFile
like RandomAcessFile.writeChar.
writeChars(String) - Method in class jhplot.math.io.LEDataOutputStream
 
writeChars(String) - Method in class jhplot.math.io.LERandomAccessFile
like RandomAcessFile.writeChars, has to flip each char.
writeDouble(double, boolean) - Method in class jhplot.math.io.BinaryFile
Write a double in a binary File
writeDouble(double, boolean) - Method in class jhplot.math.io.BinaryOutputStream
Write a double in a binary File
writeDouble(double) - Method in class jhplot.math.io.LEDataOutputStream
 
writeDouble(double) - Method in class jhplot.math.io.LERandomAccessFile
like RandomAcessFile.writeDouble.
writeDoubleArray(File, double[]) - Static method in class jhplot.math.io.ASCIIFile
 
writeDoubleArray(File, double[][]) - Static method in class jhplot.math.io.ASCIIFile
 
writeDoubleArray(File, double[], String) - Static method in class jhplot.math.io.BinaryFile
 
writeDoubleArray(double[], boolean) - Method in class jhplot.math.io.BinaryFile
Write a double array in a binary File
writeDoubleArray(OutputStream, double[], String) - Static method in class jhplot.math.io.BinaryOutputStream
 
writeDoubleArray(double[], boolean) - Method in class jhplot.math.io.BinaryOutputStream
Write a double array in a binary File
writeExternal(ObjectOutput) - Method in class org.apache.commons.math.ode.sampling.AbstractStepInterpolator
writeExternal(ObjectOutput) - Method in class org.apache.commons.math.ode.sampling.DummyStepInterpolator
Write the instance to an output channel.
writeExternal(ObjectOutput) - Method in class org.apache.commons.math.ode.sampling.NordsieckStepInterpolator
writeFloat(float, boolean) - Method in class jhplot.math.io.BinaryFile
Write a float in a binary File
writeFloat(float, boolean) - Method in class jhplot.math.io.BinaryOutputStream
Write a float in a binary File
writeFloat(float) - Method in class jhplot.math.io.LEDataOutputStream
 
writeFloat(float) - Method in class jhplot.math.io.LERandomAccessFile
like RandomAcessFile.writeFloat.
writeFloatArray(File, float[], String) - Static method in class jhplot.math.io.BinaryFile
 
writeFloatArray(float[], boolean) - Method in class jhplot.math.io.BinaryFile
Write a float array in a binary File
writeFloatArray(OutputStream, float[], String) - Static method in class jhplot.math.io.BinaryOutputStream
 
writeFloatArray(float[], boolean) - Method in class jhplot.math.io.BinaryOutputStream
Write a float array in a binary File
writeInt(int, boolean) - Method in class jhplot.math.io.BinaryFile
Write an int in a binary File
writeInt(int, boolean) - Method in class jhplot.math.io.BinaryOutputStream
Write an int in a binary File
writeInt(int) - Method in class jhplot.math.io.LEDataOutputStream
 
writeInt(int) - Method in class jhplot.math.io.LERandomAccessFile
like RandomAcessFile.writeInt.
writeIntArray(File, int[]) - Static method in class jhplot.math.io.ASCIIFile
 
writeIntArray(File, int[][]) - Static method in class jhplot.math.io.ASCIIFile
 
writeIntArray(File, int[], String) - Static method in class jhplot.math.io.BinaryFile
 
writeIntArray(int[], boolean) - Method in class jhplot.math.io.BinaryFile
Write an int array in a binary File
writeIntArray(OutputStream, int[], String) - Static method in class jhplot.math.io.BinaryOutputStream
 
writeIntArray(int[], boolean) - Method in class jhplot.math.io.BinaryOutputStream
Write an int array in a binary File
writeLong(long) - Method in class jhplot.math.io.LEDataOutputStream
 
writeLong(long) - Method in class jhplot.math.io.LERandomAccessFile
like RandomAcessFile.writeLong.
writeNext(String[]) - Method in class jhplot.io.csv.CSVWriter
Writes the next line to the file.
writeObject(Object) - Method in class jhplot.io.RecordWriter
 
writeScript(File, HPlot) - Static method in class jhplot.io.JHwriter
Write the file
writeSerialized(String) - Method in class jhplot.P0D
Write a P0D object to a serialized file
writeSerialized(String) - Method in class jhplot.P0I
Write a P0I object to a serialized file
writeSerialized(String) - Method in class jhplot.P1D
Write a P0D object to a serialized file
writeSerialized(String) - Method in class jhplot.P2D
Write a P0D object to a serialized file
writeSerialized(String) - Method in class jhplot.P3D
Write a P0D object to a serialized file
writeSerialized(String) - Method in class jhplot.PND
Write a P0D object to a serialized file
writeSerialized(String) - Method in class jhplot.PNI
Write a P0D object to a serialized file
writeShort(int) - Method in class jhplot.math.io.LEDataOutputStream
 
writeShort(int) - Method in class jhplot.math.io.LERandomAccessFile
like RandomAcessFile.writeShort.
writeTo(DataOutput) - Method in class jhplot.io.DbByteArrayOutputStream
Writes the full contents of the buffer a DataOutput stream.
writeTo(DataOutput) - Method in class jhplot.io.RecordWriter
Writes the data out to the stream without re-allocating the buffer.
writeUTF(String) - Method in class jhplot.math.io.LEDataOutputStream
 
writeUTF(String) - Method in class jhplot.math.io.LERandomAccessFile
 
writeXML(Object, String) - Static method in class jhplot.io.Serialized
Write an object to a serialized XML file.

X

x() - Method in class hephysics.vec.Hep3Vector
 
x() - Method in class hephysics.vec.HepLorentzVector
Get X position or Px
x() - Method in class hephysics.vec.SpacePoint
Cartesian x
xAxis() - Method in class hep.aida.ref.histogram.Histogram2D
Get the X axis.
xAxis() - Method in class hep.aida.ref.histogram.Histogram3D
Get the X axis.
xAxis() - Method in class hep.aida.ref.histogram.Profile2D
 
Xpos - Static variable in class jhplot.JHPlot
 
XYX - Static variable in class org.apache.commons.math.geometry.RotationOrder
Set of Euler angles.
XYZ - Static variable in class org.apache.commons.math.geometry.RotationOrder
Set of Cardan angles.
XZX - Static variable in class org.apache.commons.math.geometry.RotationOrder
Set of Euler angles.
XZY - Static variable in class org.apache.commons.math.geometry.RotationOrder
Set of Cardan angles.

Y

y() - Method in class hephysics.vec.Hep3Vector
 
y() - Method in class hephysics.vec.HepLorentzVector
Get Y
y() - Method in class hephysics.vec.SpacePoint
Cartesian y
yAxis() - Method in class hep.aida.ref.histogram.Histogram2D
Get the Y axis.
yAxis() - Method in class hep.aida.ref.histogram.Histogram3D
Get the Y axis.
yAxis() - Method in class hep.aida.ref.histogram.Profile2D
 
Ypos - Static variable in class jhplot.JHPlot
 
YXY - Static variable in class org.apache.commons.math.geometry.RotationOrder
Set of Euler angles.
YXZ - Static variable in class org.apache.commons.math.geometry.RotationOrder
Set of Cardan angles.
YZX - Static variable in class org.apache.commons.math.geometry.RotationOrder
Set of Cardan angles.
YZY - Static variable in class org.apache.commons.math.geometry.RotationOrder
Set of Euler angles.

Z

z() - Method in class hephysics.vec.Hep3Vector
 
z() - Method in class hephysics.vec.HepLorentzVector
Get Z position or Pz
z() - Method in class hephysics.vec.SpacePoint
Cartesian z
zAxis() - Method in class hep.aida.ref.histogram.Histogram3D
Get the Z axis.
ZERO - Static variable in class org.apache.commons.math.analysis.ComposableFunction
The constant function always returning 0.
ZERO - Static variable in class org.apache.commons.math.complex.Complex
A complex number representing "0.0 + 0.0i"
ZERO - Static variable in class org.apache.commons.math.fraction.BigFraction
A fraction representing "0".
ZERO - Static variable in class org.apache.commons.math.fraction.Fraction
A fraction representing "0".
ZERO - Static variable in class org.apache.commons.math.geometry.Vector3D
Null vector (coordinates: 0, 0, 0).
ZERO - Static variable in class org.apache.commons.math.util.BigReal
A big real representing 0.
ZeroException - Exception in org.apache.commons.math.exception
Exception to be thrown when zero is provided where it is not allowed.
ZeroException() - Constructor for exception org.apache.commons.math.exception.ZeroException
Construct the exception.
ZeroException(Localizable) - Constructor for exception org.apache.commons.math.exception.ZeroException
Construct the exception with a specific context.
ZigZagLine(float, float) - Static method in class jhplot.jadraw.Diagram
Get a zig zag object
ZipfDistribution - Interface in org.apache.commons.math.distribution
The Zipf (or zeta) Distribution.
ZipfDistributionImpl - Class in org.apache.commons.math.distribution
Implementation for the ZipfDistribution.
ZipfDistributionImpl(int, double) - Constructor for class org.apache.commons.math.distribution.ZipfDistributionImpl
Create a new Zipf distribution with the given number of elements and exponent.
zoom(double, double, double, double) - Method in class jhplot.SPlot
Zoom in or out to the specified rectangle.
ZXY - Static variable in class org.apache.commons.math.geometry.RotationOrder
Set of Cardan angles.
ZXZ - Static variable in class org.apache.commons.math.geometry.RotationOrder
Set of Euler angles.
ZYX - Static variable in class org.apache.commons.math.geometry.RotationOrder
Set of Cardan angles.
ZYZ - Static variable in class org.apache.commons.math.geometry.RotationOrder
Set of Euler angles.

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