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(DoubleMatrix1D) - Static method in class cern.colt.matrix.doublealgo.Transform
Deprecated. A[i] = Math.abs(A[i]).
abs(DoubleMatrix2D) - Static method in class cern.colt.matrix.doublealgo.Transform
Deprecated. A[row,col] = Math.abs(A[row,col]).
abs - Static variable in class cern.jet.math.Functions
Function that returns Math.abs(a).
abs - Static variable in class cern.jet.math.IntFunctions
Function that returns Math.abs(a) == (a < 0) ? -a : a.
abs(ErrorProp) - Static method in class flanagan.analysis.ErrorProp
 
abs() - Method in class flanagan.analysis.ErrorProp
 
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.Fraction
Returns the absolute value of this fraction.
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(String, String, int, String) - Constructor for class hep.aida.ref.histogram.AbstractBaseHistogram
 
AbstractBin - Class in cern.hep.aida.bin
Abstract base class for all arbitrary-dimensional bins consumes double elements.
AbstractBin1D - Class in cern.hep.aida.bin
Abstract base class for all 1-dimensional bins consumes double elements.
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
 
AbstractBooleanList - Class in cern.colt.list
Abstract base class for resizable lists holding boolean elements; abstract.
AbstractByteList - Class in cern.colt.list
Abstract base class for resizable lists holding byte elements; abstract.
AbstractCharList - Class in cern.colt.list
Abstract base class for resizable lists holding char elements; abstract.
AbstractCollection - Class in cern.colt.list
Abstract base class for resizable collections holding objects or primitive data types such as int, float, etc.
AbstractContinousDistribution - Class in cern.jet.random
Abstract base class for all continous distributions.
AbstractContinuousDistribution - Class in org.apache.commons.math.distribution
Base class for continuous distributions.
AbstractDevModelFunction - Class in hep.aida.ref.function
 
AbstractDevModelFunction() - Constructor for class hep.aida.ref.function.AbstractDevModelFunction
 
AbstractDiscreteDistribution - Class in cern.jet.random
Abstract base class for all discrete distributions.
AbstractDistribution - Class in cern.jet.random
Abstract base class for all random distributions.
AbstractDistribution - Class in org.apache.commons.math.distribution
Base class for probability distributions.
AbstractDoubleIntMap - Class in cern.colt.map
Abstract base class for hash maps holding (key,value) associations of type (double-->int).
AbstractDoubleList - Class in cern.colt.list
Abstract base class for resizable lists holding double elements; abstract.
AbstractFitMethod - Class in hep.aida.ref.fitter.fitmethod
 
AbstractFitMethod(int, String[]) - Constructor for class hep.aida.ref.fitter.fitmethod.AbstractFitMethod
 
AbstractFloatList - Class in cern.colt.list
Abstract base class for resizable lists holding float elements; abstract.
AbstractFormatter - Class in cern.colt.matrix.impl
Abstract base class for flexible, well human readable matrix print formatting.
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
 
AbstractIntDoubleMap - Class in cern.colt.map
Abstract base class for hash maps holding (key,value) associations of type (int-->double).
AbstractIntegerDistribution - Class in org.apache.commons.math.distribution
Base class for integer-valued discrete distributions.
AbstractIntIntMap - Class in cern.colt.map
Abstract base class for hash maps holding (key,value) associations of type (int-->int).
AbstractIntList - Class in cern.colt.list
Abstract base class for resizable lists holding int elements; abstract.
AbstractIntObjectMap - Class in cern.colt.map
Abstract base class for hash maps holding (key,value) associations of type (int-->Object).
AbstractList - Class in cern.colt.list
Abstract base class for resizable lists holding objects or primitive data types such as int, float, etc.
AbstractLongList - Class in cern.colt.list
Abstract base class for resizable lists holding long elements; abstract.
AbstractLongObjectMap - Class in cern.colt.map
Abstract base class for hash maps holding (key,value) associations of type (long-->Object).
AbstractMap - Class in cern.colt.map
Abstract base class for hash maps holding objects or primitive data types such as int, float, etc.
AbstractMatrix - Class in cern.colt.matrix.impl
Abstract base class for arbitrary-dimensional matrices holding objects or primitive data types such as int, float, etc.
AbstractMatrix1D - Class in cern.colt.matrix.impl
Abstract base class for 1-d matrices (aka vectors) holding objects or primitive data types such as int, double, etc.
AbstractMatrix2D - Class in cern.colt.matrix.impl
Abstract base class for 2-d matrices holding objects or primitive data types such as int, double, etc.
AbstractMatrix3D - Class in cern.colt.matrix.impl
Abstract base class for 3-d matrices holding objects or primitive data types such as int, double, etc.
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.
AbstractShortList - Class in cern.colt.list
Abstract base class for resizable lists holding short elements; abstract.
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
 
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
 
accept() - Method in class hep.aida.ref.fitter.fitdata.RangeSetFilter
 
accept() - Method in class hep.aida.ref.tuple.Filter
 
acos - Static variable in class cern.jet.math.Functions
Function that returns Math.acos(a).
acos(ErrorProp) - Static method in class flanagan.analysis.ErrorProp
 
acos(double) - Static method in class flanagan.math.Fmath
 
acos(Complex) - Static method in class org.apache.commons.math.complex.ComplexUtils
Compute the inverse cosine for the given complex argument.
acosh(ErrorProp) - Static method in class flanagan.analysis.ErrorProp
 
acosh(double) - Static method in class flanagan.math.Fmath
 
acot(double) - Static method in class flanagan.math.Fmath
 
acot2(double, double) - Static method in class flanagan.math.Fmath
 
acoth(double) - Static method in class flanagan.math.Fmath
 
acovers(double) - Static method in class flanagan.math.Fmath
 
acsc(double) - Static method in class flanagan.math.Fmath
 
acsch(double) - Static method in class flanagan.math.Fmath
 
add(double) - Method in class cern.colt.buffer.DoubleBuffer
Adds the specified element to the receiver.
add(double, double) - Method in class cern.colt.buffer.DoubleBuffer2D
Adds the specified point (x,y) to the receiver.
add(double, double, double) - Method in class cern.colt.buffer.DoubleBuffer3D
Adds the specified point (x,y,z) to the receiver.
add(int) - Method in class cern.colt.buffer.IntBuffer
Adds the specified element to the receiver.
add(int, int) - Method in class cern.colt.buffer.IntBuffer2D
Adds the specified point (x,y) to the receiver.
add(int, int, int) - Method in class cern.colt.buffer.IntBuffer3D
Adds the specified point (x,y,z) to the receiver.
add(Object) - Method in class cern.colt.buffer.ObjectBuffer
Adds the specified element to the receiver.
add(boolean) - Method in class cern.colt.list.AbstractBooleanList
Appends the specified element to the end of this list.
add(byte) - Method in class cern.colt.list.AbstractByteList
Appends the specified element to the end of this list.
add(char) - Method in class cern.colt.list.AbstractCharList
Appends the specified element to the end of this list.
add(double) - Method in class cern.colt.list.AbstractDoubleList
Appends the specified element to the end of this list.
add(float) - Method in class cern.colt.list.AbstractFloatList
Appends the specified element to the end of this list.
add(int) - Method in class cern.colt.list.AbstractIntList
Appends the specified element to the end of this list.
add(long) - Method in class cern.colt.list.AbstractLongList
Appends the specified element to the end of this list.
add(short) - Method in class cern.colt.list.AbstractShortList
Appends the specified element to the end of this list.
add(int, Object) - Method in class cern.colt.list.adapter.DoubleListAdapter
Inserts the specified element at the specified position in this list (optional operation).
add(int, Object) - Method in class cern.colt.list.adapter.FloatListAdapter
Inserts the specified element at the specified position in this list (optional operation).
add(int, Object) - Method in class cern.colt.list.adapter.IntListAdapter
Inserts the specified element at the specified position in this list (optional operation).
add(int, Object) - Method in class cern.colt.list.adapter.LongListAdapter
Inserts the specified element at the specified position in this list (optional operation).
add(int, Object) - Method in class cern.colt.list.adapter.ObjectListAdapter
Inserts the specified element at the specified position in this list (optional operation).
add(boolean) - Method in class cern.colt.list.BooleanArrayList
Appends the specified element to the end of this list.
add(byte) - Method in class cern.colt.list.ByteArrayList
Appends the specified element to the end of this list.
add(char) - Method in class cern.colt.list.CharArrayList
Appends the specified element to the end of this list.
add(long) - Method in class cern.colt.list.DistinctNumberList
Appends the specified element to the end of this list.
add(double) - Method in class cern.colt.list.DoubleArrayList
Appends the specified element to the end of this list.
add(float) - Method in class cern.colt.list.FloatArrayList
Appends the specified element to the end of this list.
add(int) - Method in class cern.colt.list.IntArrayList
Appends the specified element to the end of this list.
add(long) - Method in class cern.colt.list.LongArrayList
Appends the specified element to the end of this list.
add(long) - Method in class cern.colt.list.MinMaxNumberList
Appends the specified element to the end of this list.
add(Object) - Method in class cern.colt.list.ObjectArrayList
Appends the specified element to the end of this list.
add(short) - Method in class cern.colt.list.ShortArrayList
Appends the specified element to the end of this list.
add(double) - Method in class cern.hep.aida.bin.AbstractBin1D
Adds the specified element to the receiver.
add(double) - Method in class cern.hep.aida.bin.DynamicBin1D
Adds the specified element to the receiver.
add(double) - Method in class cern.hep.aida.bin.StaticBin1D
Adds the specified element to the receiver.
add(double) - Method in interface cern.jet.stat.quantile.DoubleQuantileFinder
Adds a value to the receiver.
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(HLabel) - Method in class jhplot.HPlot
Add a label to the Canvas.
add(HShape) - Method in class jhplot.HPlot
Add a shape primitive to the Canvas.
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(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(Complex) - Method in class org.apache.commons.math.complex.Complex
Return the sum of this complex number and the given complex number.
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(BigMatrix) - Method in interface org.apache.commons.math.linear.BigMatrix
Compute the sum of this and m.
add(BigMatrix) - Method in class org.apache.commons.math.linear.BigMatrixImpl
Compute the sum of this and m.
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
Compute the sum of this and m.
addAllOf(DoubleArrayList) - Method in class cern.colt.buffer.DoubleBuffer
Adds all elements of the specified list to the receiver.
addAllOf(DoubleArrayList, DoubleArrayList) - Method in class cern.colt.buffer.DoubleBuffer2D
Adds all specified points (x,y) to the receiver.
addAllOf(DoubleArrayList, DoubleArrayList) - Method in interface cern.colt.buffer.DoubleBuffer2DConsumer
Adds all specified (x,y) points to the receiver.
addAllOf(DoubleArrayList, DoubleArrayList, DoubleArrayList) - Method in class cern.colt.buffer.DoubleBuffer3D
Adds all specified (x,y,z) points to the receiver.
addAllOf(DoubleArrayList, DoubleArrayList, DoubleArrayList) - Method in interface cern.colt.buffer.DoubleBuffer3DConsumer
Adds all specified (x,y,z) points to the receiver.
addAllOf(DoubleArrayList) - Method in interface cern.colt.buffer.DoubleBufferConsumer
Adds all elements of the specified list to the receiver.
addAllOf(IntArrayList) - Method in class cern.colt.buffer.IntBuffer
Adds all elements of the specified list to the receiver.
addAllOf(IntArrayList, IntArrayList) - Method in class cern.colt.buffer.IntBuffer2D
Adds all specified points (x,y) to the receiver.
addAllOf(IntArrayList, IntArrayList) - Method in interface cern.colt.buffer.IntBuffer2DConsumer
Adds all specified (x,y) points to the receiver.
addAllOf(IntArrayList, IntArrayList, IntArrayList) - Method in class cern.colt.buffer.IntBuffer3D
Adds all specified (x,y,z) points to the receiver.
addAllOf(IntArrayList, IntArrayList, IntArrayList) - Method in interface cern.colt.buffer.IntBuffer3DConsumer
Adds all specified (x,y,z) points to the receiver.
addAllOf(IntArrayList) - Method in interface cern.colt.buffer.IntBufferConsumer
Adds all elements of the specified list to the receiver.
addAllOf(ObjectArrayList) - Method in class cern.colt.buffer.ObjectBuffer
Adds all elements of the specified list to the receiver.
addAllOf(ObjectArrayList) - Method in interface cern.colt.buffer.ObjectBufferConsumer
Adds all elements of the specified list to the receiver.
addAllOf(DoubleArrayList) - Method in class cern.colt.list.AbstractDoubleList
Appends all elements of the specified list to the receiver.
addAllOf(IntArrayList) - Method in class cern.colt.list.AbstractIntList
Appends all elements of the specified list to the receiver.
addAllOf(Collection) - Method in class cern.colt.list.AbstractList
Appends all of the elements of the specified Collection to the receiver.
addAllOf(DoubleArrayList) - Method in class cern.hep.aida.bin.AbstractBin1D
Adds all values of the specified list to the receiver.
addAllOf(DoubleArrayList) - Method in interface cern.jet.stat.quantile.DoubleQuantileFinder
Adds all values of the specified list to the receiver.
addAllOfFromTo(AbstractBooleanList, int, int) - Method in class cern.colt.list.AbstractBooleanList
Appends the part of the specified list between from (inclusive) and to (inclusive) to the receiver.
addAllOfFromTo(AbstractByteList, int, int) - Method in class cern.colt.list.AbstractByteList
Appends the part of the specified list between from (inclusive) and to (inclusive) to the receiver.
addAllOfFromTo(AbstractCharList, int, int) - Method in class cern.colt.list.AbstractCharList
Appends the part of the specified list between from (inclusive) and to (inclusive) to the receiver.
addAllOfFromTo(AbstractDoubleList, int, int) - Method in class cern.colt.list.AbstractDoubleList
Appends the part of the specified list between from (inclusive) and to (inclusive) to the receiver.
addAllOfFromTo(AbstractFloatList, int, int) - Method in class cern.colt.list.AbstractFloatList
Appends the part of the specified list between from (inclusive) and to (inclusive) to the receiver.
addAllOfFromTo(AbstractIntList, int, int) - Method in class cern.colt.list.AbstractIntList
Appends the part of the specified list between from (inclusive) and to (inclusive) to the receiver.
addAllOfFromTo(AbstractLongList, int, int) - Method in class cern.colt.list.AbstractLongList
Appends the part of the specified list between from (inclusive) and to (inclusive) to the receiver.
addAllOfFromTo(AbstractShortList, int, int) - Method in class cern.colt.list.AbstractShortList
Appends the part of the specified list between from (inclusive) and to (inclusive) to the receiver.
addAllOfFromTo(long[], int, int) - Method in class cern.colt.list.MinMaxNumberList
Appends the elements elements[from] (inclusive), ..., elements[to] (inclusive) to the receiver.
addAllOfFromTo(ObjectArrayList, int, int) - Method in class cern.colt.list.ObjectArrayList
Appends the part of the specified list between from (inclusive) and to (inclusive) to the receiver.
addAllOfFromTo(DoubleArrayList, int, int) - Method in class cern.hep.aida.bin.AbstractBin1D
Adds the part of the specified list between indexes from (inclusive) and to (inclusive) to the receiver.
addAllOfFromTo(DoubleArrayList, int, int) - Method in class cern.hep.aida.bin.DynamicBin1D
Adds the part of the specified list between indexes from (inclusive) and to (inclusive) to the receiver.
addAllOfFromTo(DoubleArrayList, int, int) - Method in class cern.hep.aida.bin.MightyStaticBin1D
Adds the part of the specified list between indexes from (inclusive) and to (inclusive) to the receiver.
addAllOfFromTo(DoubleArrayList, int, int) - Method in class cern.hep.aida.bin.QuantileBin1D
Adds the part of the specified list between indexes from (inclusive) and to (inclusive) to the receiver.
addAllOfFromTo(DoubleArrayList, int, int) - Method in class cern.hep.aida.bin.StaticBin1D
Adds the part of the specified list between indexes from (inclusive) and to (inclusive) to the receiver.
addAllOfFromTo(DoubleArrayList, int, int) - Method in interface cern.jet.stat.quantile.DoubleQuantileFinder
Adds the part of the specified list between indexes from (inclusive) and to (inclusive) to the receiver.
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.
addComp(Component) - Method in class jhplot.GHPanel
Add a component to the main panel
addConstraint(int, int, double) - Method in class flanagan.analysis.Regression
 
addConstraint(int[], int[], int, double) - Method in class flanagan.analysis.Regression
 
addConstraint(int, int, double) - Method in class flanagan.math.Maximisation
 
addConstraint(int[], int[], int, double) - Method in class flanagan.math.Maximisation
 
addConstraint(int, int, double) - Method in class flanagan.math.Minimisation
 
addConstraint(int[], int[], int, double) - Method in class flanagan.math.Minimisation
 
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(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.
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.
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.
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
addLegends() - Method in class flanagan.analysis.Regression
 
addListener(AIDAListener) - Method in class hep.aida.ref.event.AIDAObservable
 
addListener(AIDAListener) - Method in interface hep.aida.ref.event.IsObservable
 
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(double, double) - Method in class jhplot.regression.LRegression
Add a point to the data and redo the regression
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
 
addValue(double) - Method in class org.apache.commons.math.stat.descriptive.DescriptiveStatistics
Adds the value to the set of numbers
addValue(double) - Method in class org.apache.commons.math.stat.descriptive.DescriptiveStatisticsImpl
 
addValue(double) - Method in class org.apache.commons.math.stat.descriptive.SummaryStatistics
Adds the value to the data to be summarized
addValue(double) - Method in class org.apache.commons.math.stat.descriptive.SummaryStatisticsImpl
Add a value to the data
addValue(Object) - 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
Adds 1 to the frequency count for v.
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
aexsec(double) - Static method in class flanagan.math.Fmath
 
aggregate(DoubleMatrix2D, BinFunction1D[], DoubleMatrix2D) - Static method in class cern.colt.matrix.doublealgo.Statistic
Applies the given aggregation functions to each column and stores the results in a the result matrix.
aggregate(DoubleDoubleFunction, DoubleFunction) - Method in class cern.colt.matrix.DoubleMatrix1D
Applies a function to each cell and aggregates the results.
aggregate(DoubleMatrix1D, DoubleDoubleFunction, DoubleDoubleFunction) - Method in class cern.colt.matrix.DoubleMatrix1D
Applies a function to each corresponding cell of two matrices and aggregates the results.
aggregate(DoubleDoubleFunction, DoubleFunction) - Method in class cern.colt.matrix.DoubleMatrix2D
Applies a function to each cell and aggregates the results.
aggregate(DoubleMatrix2D, DoubleDoubleFunction, DoubleDoubleFunction) - Method in class cern.colt.matrix.DoubleMatrix2D
Applies a function to each corresponding cell of two matrices and aggregates the results.
aggregate(DoubleDoubleFunction, DoubleFunction) - Method in class cern.colt.matrix.DoubleMatrix3D
Applies a function to each cell and aggregates the results.
aggregate(DoubleMatrix3D, DoubleDoubleFunction, DoubleDoubleFunction) - Method in class cern.colt.matrix.DoubleMatrix3D
Applies a function to each corresponding cell of two matrices and aggregates the results.
aggregate(ObjectObjectFunction, ObjectFunction) - Method in class cern.colt.matrix.ObjectMatrix1D
Applies a function to each cell and aggregates the results.
aggregate(ObjectMatrix1D, ObjectObjectFunction, ObjectObjectFunction) - Method in class cern.colt.matrix.ObjectMatrix1D
Applies a function to each corresponding cell of two matrices and aggregates the results.
aggregate(ObjectObjectFunction, ObjectFunction) - Method in class cern.colt.matrix.ObjectMatrix2D
Applies a function to each cell and aggregates the results.
aggregate(ObjectMatrix2D, ObjectObjectFunction, ObjectObjectFunction) - Method in class cern.colt.matrix.ObjectMatrix2D
Applies a function to each corresponding cell of two matrices and aggregates the results.
aggregate(ObjectObjectFunction, ObjectFunction) - Method in class cern.colt.matrix.ObjectMatrix3D
Applies a function to each cell and aggregates the results.
aggregate(ObjectMatrix3D, ObjectObjectFunction, ObjectObjectFunction) - Method in class cern.colt.matrix.ObjectMatrix3D
Applies a function to each corresponding cell of two matrices and aggregates the results.
aggregate(DoubleDoubleFunction, DoubleFunction) - Method in class cern.hep.aida.bin.DynamicBin1D
Applies a function to each element and aggregates the results.
ahav(double) - Static method in class flanagan.math.Fmath
 
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
 
Algebra - Class in cern.colt.matrix.linalg
Linear algebraic matrix operations operating on DoubleMatrix2D; concentrates most functionality of this package.
Algebra() - Constructor for class cern.colt.matrix.linalg.Algebra
Constructs a new instance with an equality tolerance given by Property.DEFAULT.tolerance().
Algebra(double) - Constructor for class cern.colt.matrix.linalg.Algebra
Constructs a new instance with the given equality tolerance.
allEntries() - Method in class cern.hep.aida.ref.Histogram1D
 
allEntries() - Method in class cern.hep.aida.ref.Histogram2D
 
allEntries() - Method in class cern.hep.aida.ref.Histogram3D
 
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
allocateBlas(int, Blas) - Static method in class cern.colt.matrix.linalg.SmpBlas
Sets the public global variable SmpBlas.smpBlas to a blas using a maximum of maxThreads threads, each executing the given sequential algorithm; maxThreads is normally the number of CPUs.
alpha_rcl2 - Static variable in class cern.clhep.PhysicalConstants
 
ampere - Static variable in class cern.clhep.Units
 
amu - Static variable in class cern.clhep.PhysicalConstants
 
amu_c2 - Static variable in class cern.clhep.PhysicalConstants
 
analF() - Method in class jhplot.HPlot
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
 
and(BitMatrix) - Method in class cern.colt.bitvector.BitMatrix
Performs a logical AND of the receiver with another bit matrix.
and(BitVector) - Method in class cern.colt.bitvector.BitVector
Performs a logical AND of the receiver with another bit vector (A = A & B).
and - Static variable in class cern.jet.math.IntFunctions
Function that returns a & b.
and(int) - Static method in class cern.jet.math.IntFunctions
Constructs a function that returns a & b.
andNot(BitMatrix) - Method in class cern.colt.bitvector.BitMatrix
Clears all of the bits in receiver whose corresponding bit is set in the other bit matrix.
andNot(BitVector) - Method in class cern.colt.bitvector.BitVector
Clears all of the bits in receiver whose corresponding bit is set in the other bitvector (A = A \ B).
angle(double, double, double, double, double, double) - Static method in class flanagan.math.Fmath
 
angle(double, double, double) - Static method in class flanagan.math.Fmath
 
angstrom - Static variable in class cern.clhep.Units
 
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.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
 
antilog(double) - Static method in class flanagan.math.Fmath
 
antilog(float) - Static method in class flanagan.math.Fmath
 
antilog10(double) - Static method in class flanagan.math.Fmath
 
antilog10(float) - Static method in class flanagan.math.Fmath
 
antilog2(double) - Static method in class flanagan.math.Fmath
 
antilog2(float) - Static method in class flanagan.math.Fmath
 
append(DoubleMatrix1D, DoubleMatrix1D) - Method in class cern.colt.matrix.DoubleFactory1D
C = A||B; Constructs a new matrix which is the concatenation of two other matrices.
append(ObjectMatrix1D, ObjectMatrix1D) - Method in class cern.colt.matrix.ObjectFactory1D
C = A||B; Constructs a new matrix which is the concatenation of two other matrices.
appendColumns(DoubleMatrix2D, DoubleMatrix2D) - Method in class cern.colt.matrix.DoubleFactory2D
C = A||B; Constructs a new matrix which is the column-wise concatenation of two other matrices.
appendColumns(ObjectMatrix2D, ObjectMatrix2D) - Method in class cern.colt.matrix.ObjectFactory2D
C = A||B; Constructs a new matrix which is the column-wise concatenation of two other matrices.
appendRows(DoubleMatrix2D, DoubleMatrix2D) - Method in class cern.colt.matrix.DoubleFactory2D
C = A||B; Constructs a new matrix which is the row-wise concatenation of two other matrices.
appendRows(ObjectMatrix2D, ObjectMatrix2D) - Method in class cern.colt.matrix.ObjectFactory2D
C = A||B; Constructs a new matrix which is the row-wise concatenation of two other matrices.
apply(boolean) - Method in interface cern.colt.function.BooleanProcedure
Applies a procedure to an argument.
apply(byte) - Method in interface cern.colt.function.ByteProcedure
Applies a procedure to an argument.
apply(char) - Method in interface cern.colt.function.CharProcedure
Applies a procedure to an argument.
apply(double, double, double, double, double, double, double, double, double, double, double, double, double, double, double, double, double, double, double, double, double, double, double, double, double, double, double) - Method in interface cern.colt.function.Double27Function
Applies a function to 27 arguments.
apply(double, double, double, double, double) - Method in interface cern.colt.function.Double5Function
Applies a function to two arguments.
apply(double, double, double, double, double, double, double, double, double) - Method in interface cern.colt.function.Double9Function
Applies a function to nine arguments.
apply(double, double) - Method in interface cern.colt.function.DoubleDoubleFunction
Applies a function to two arguments.
apply(double, double) - Method in interface cern.colt.function.DoubleDoubleProcedure
Applies a procedure to two arguments.
apply(double) - Method in interface cern.colt.function.DoubleFunction
Applies a function to an argument.
apply(double, int) - Method in interface cern.colt.function.DoubleIntProcedure
Applies a procedure to two arguments.
apply(double) - Method in interface cern.colt.function.DoubleProcedure
Applies a procedure to an argument.
apply(float) - Method in interface cern.colt.function.FloatProcedure
Applies a procedure to an argument.
apply(int, double) - Method in interface cern.colt.function.IntDoubleFunction
Applies a function to two arguments.
apply(int, double) - Method in interface cern.colt.function.IntDoubleProcedure
Applies a procedure to two arguments.
apply(int) - Method in interface cern.colt.function.IntFunction
Applies a function to an argument.
apply(int, int, double) - Method in interface cern.colt.function.IntIntDoubleFunction
Applies a function to three arguments.
apply(int, int, double) - Method in interface cern.colt.function.IntIntDoubleProcedure
Applies a procedure to two arguments.
apply(int, int) - Method in interface cern.colt.function.IntIntFunction
Applies a function to two arguments.
apply(int, int, int) - Method in interface cern.colt.function.IntIntIntProcedure
Applies a procedure to three arguments.
apply(int, int) - Method in interface cern.colt.function.IntIntProcedure
Applies a procedure to two arguments.
apply(int, Object) - Method in interface cern.colt.function.IntObjectProcedure
Applies a procedure to two arguments.
apply(int) - Method in interface cern.colt.function.IntProcedure
Applies a procedure to an argument.
apply(long, Object) - Method in interface cern.colt.function.LongObjectProcedure
Applies a procedure to two arguments.
apply(long) - Method in interface cern.colt.function.LongProcedure
Applies a procedure to an argument.
apply(Object) - Method in interface cern.colt.function.ObjectFunction
Applies a function to an argument.
apply(Object, Object) - Method in interface cern.colt.function.ObjectObjectFunction
Applies a function to two arguments.
apply(Object) - Method in interface cern.colt.function.ObjectProcedure
Applies a procedure to an argument.
apply(short) - Method in interface cern.colt.function.ShortProcedure
Applies a procedure to an argument.
apply(DoubleMatrix1D, DoubleMatrix1D) - Method in interface cern.colt.matrix.doublealgo.Statistic.VectorVectorFunction
Applies a function to two argument vectors.
apply(DoubleMatrix1D) - Method in interface cern.colt.matrix.DoubleMatrix1DProcedure
Applies a procedure to an argument.
apply(DoubleMatrix2D) - Method in interface cern.colt.matrix.DoubleMatrix2DProcedure
Applies a procedure to an argument.
apply(DoubleMatrix3D) - Method in interface cern.colt.matrix.DoubleMatrix3DProcedure
Applies a procedure to an argument.
apply(DoubleMatrix2D, DoubleMatrix2D) - Method in interface cern.colt.matrix.linalg.Matrix2DMatrix2DFunction
Applies a function to two arguments.
apply(ObjectMatrix1D) - Method in interface cern.colt.matrix.ObjectMatrix1DProcedure
Applies a procedure to an argument.
apply(ObjectMatrix2D) - Method in interface cern.colt.matrix.ObjectMatrix2DProcedure
Applies a procedure to an argument.
apply(DoubleMatrix3D) - Method in interface cern.colt.matrix.ObjectMatrix3DProcedure
Applies a procedure to an argument.
apply(ObjectMatrix3D) - Method in interface cern.colt.matrix.ObjectMatrix3DProcedure
Applies a procedure to an argument.
apply(DynamicBin1D, DynamicBin1D) - Method in interface cern.hep.aida.bin.BinBinFunction1D
Applies a function to two bin arguments.
apply(DynamicBin1D) - Method in interface cern.hep.aida.bin.BinFunction1D
Applies a function to one bin argument.
apply(double) - Method in class cern.jet.math.Mult
Returns the result of the function evaluation.
apply(double, double) - Method in class cern.jet.math.PlusMult
Returns the result of the function evaluation.
apply(double) - Method in class cern.jet.random.AbstractDistribution
Equivalent to nextDouble().
apply(int) - Method in class cern.jet.random.AbstractDistribution
Equivalent to nextInt().
apply(double) - Method in class cern.jet.random.engine.RandomEngine
Equivalent to raw().
apply(int) - Method in class cern.jet.random.engine.RandomEngine
Equivalent to nextInt().
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.DescriptiveStatisticsImpl
Apply the given statistic to this univariate collection.
Arithmetic - Class in cern.jet.math
Arithmetic functions.
arrayAbs(double[]) - Static method in class flanagan.math.Fmath
 
arrayAbs(float[]) - Static method in class flanagan.math.Fmath
 
arrayAbs(long[]) - Static method in class flanagan.math.Fmath
 
arrayAbs(int[]) - Static method in class flanagan.math.Fmath
 
arrayMultByConstant(double[], double) - Static method in class flanagan.math.Fmath
 
arrayMultByConstant(int[], double) - Static method in class flanagan.math.Fmath
 
arrayMultByConstant(double[], int) - Static method in class flanagan.math.Fmath
 
arrayMultByConstant(int[], int) - Static method in class flanagan.math.Fmath
 
arrayProduct(double[]) - Static method in class flanagan.math.Fmath
 
arrayProduct(float[]) - Static method in class flanagan.math.Fmath
 
arrayProduct(int[]) - Static method in class flanagan.math.Fmath
 
arrayProduct(long[]) - Static method in class flanagan.math.Fmath
 
Arrays - Class in cern.colt
Array manipulations; complements java.util.Arrays.
arraySum(double[]) - Static method in class flanagan.math.Fmath
 
arraySum(float[]) - Static method in class flanagan.math.Fmath
 
arraySum(int[]) - Static method in class flanagan.math.Fmath
 
arraySum(long[]) - Static method in class flanagan.math.Fmath
 
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
 
ascending(int) - Method in class cern.colt.matrix.DoubleFactory1D
Constructs a matrix with cells having ascending values.
ascending(int, int) - Method in class cern.colt.matrix.DoubleFactory2D
Constructs a matrix with cells having ascending values.
ascending(int, int, int) - Method in class cern.colt.matrix.DoubleFactory3D
Constructs a matrix with cells having ascending values.
asec(double) - Static method in class flanagan.math.Fmath
 
asech(double) - Static method in class flanagan.math.Fmath
 
asin - Static variable in class cern.jet.math.Functions
Function that returns Math.asin(a).
asin(ErrorProp) - Static method in class flanagan.analysis.ErrorProp
 
asin(double) - Static method in class flanagan.math.Fmath
 
asin(Complex) - Static method in class org.apache.commons.math.complex.ComplexUtils
Compute the inverse sine for the given complex argument.
asinh(ErrorProp) - Static method in class flanagan.analysis.ErrorProp
 
asinh(double) - Static method in class flanagan.math.Fmath
 
assign(DoubleFunction) - Method in class cern.colt.map.AbstractIntDoubleMap
Assigns the result of a function to each value; v[i] = function(v[i]).
assign(AbstractIntDoubleMap) - Method in class cern.colt.map.AbstractIntDoubleMap
Clears the receiver, then adds all (key,value) pairs of othervalues to it.
assign(DoubleFunction) - Method in class cern.colt.map.OpenIntDoubleHashMap
Assigns the result of a function to each value; v[i] = function(v[i]).
assign(AbstractIntDoubleMap) - Method in class cern.colt.map.OpenIntDoubleHashMap
Clears the receiver, then adds all (key,value) pairs of othervalues to it.
assign(double[]) - Method in class cern.colt.matrix.DoubleMatrix1D
Sets all cells to the state specified by values.
assign(double) - Method in class cern.colt.matrix.DoubleMatrix1D
Sets all cells to the state specified by value.
assign(DoubleFunction) - Method in class cern.colt.matrix.DoubleMatrix1D
Assigns the result of a function to each cell; x[i] = function(x[i]).
assign(DoubleMatrix1D) - Method in class cern.colt.matrix.DoubleMatrix1D
Replaces all cell values of the receiver with the values of another matrix.
assign(DoubleMatrix1D, DoubleDoubleFunction) - Method in class cern.colt.matrix.DoubleMatrix1D
Assigns the result of a function to each cell; x[i] = function(x[i],y[i]).
assign(DoubleMatrix1D, DoubleDoubleFunction, IntArrayList) - Method in class cern.colt.matrix.DoubleMatrix1D
Assigns the result of a function to each cell; x[i] = function(x[i],y[i]).
assign(double[][]) - Method in class cern.colt.matrix.DoubleMatrix2D
Sets all cells to the state specified by values.
assign(double) - Method in class cern.colt.matrix.DoubleMatrix2D
Sets all cells to the state specified by value.
assign(DoubleFunction) - Method in class cern.colt.matrix.DoubleMatrix2D
Assigns the result of a function to each cell; x[row,col] = function(x[row,col]).
assign(DoubleMatrix2D) - Method in class cern.colt.matrix.DoubleMatrix2D
Replaces all cell values of the receiver with the values of another matrix.
assign(DoubleMatrix2D, DoubleDoubleFunction) - Method in class cern.colt.matrix.DoubleMatrix2D
Assigns the result of a function to each cell; x[row,col] = function(x[row,col],y[row,col]).
assign(double[][][]) - Method in class cern.colt.matrix.DoubleMatrix3D
Sets all cells to the state specified by values.
assign(double) - Method in class cern.colt.matrix.DoubleMatrix3D
Sets all cells to the state specified by value.
assign(DoubleFunction) - Method in class cern.colt.matrix.DoubleMatrix3D
Assigns the result of a function to each cell; x[slice,row,col] = function(x[slice,row,col]).
assign(DoubleMatrix3D) - Method in class cern.colt.matrix.DoubleMatrix3D
Replaces all cell values of the receiver with the values of another matrix.
assign(DoubleMatrix3D, DoubleDoubleFunction) - Method in class cern.colt.matrix.DoubleMatrix3D
Assigns the result of a function to each cell; x[row,col] = function(x[row,col],y[row,col]).
assign(double[]) - Method in class cern.colt.matrix.impl.DenseDoubleMatrix1D
Sets all cells to the state specified by values.
assign(double) - Method in class cern.colt.matrix.impl.DenseDoubleMatrix1D
Sets all cells to the state specified by value.
assign(DoubleFunction) - Method in class cern.colt.matrix.impl.DenseDoubleMatrix1D
Assigns the result of a function to each cell; x[i] = function(x[i]).
assign(DoubleMatrix1D) - Method in class cern.colt.matrix.impl.DenseDoubleMatrix1D
Replaces all cell values of the receiver with the values of another matrix.
assign(DoubleMatrix1D, DoubleDoubleFunction) - Method in class cern.colt.matrix.impl.DenseDoubleMatrix1D
Assigns the result of a function to each cell; x[i] = function(x[i],y[i]).
assign(double[][]) - Method in class cern.colt.matrix.impl.DenseDoubleMatrix2D
Sets all cells to the state specified by values.
assign(double) - Method in class cern.colt.matrix.impl.DenseDoubleMatrix2D
Sets all cells to the state specified by value.
assign(DoubleFunction) - Method in class cern.colt.matrix.impl.DenseDoubleMatrix2D
Assigns the result of a function to each cell; x[row,col] = function(x[row,col]).
assign(DoubleMatrix2D) - Method in class cern.colt.matrix.impl.DenseDoubleMatrix2D
Replaces all cell values of the receiver with the values of another matrix.
assign(DoubleMatrix2D, DoubleDoubleFunction) - Method in class cern.colt.matrix.impl.DenseDoubleMatrix2D
Assigns the result of a function to each cell; x[row,col] = function(x[row,col],y[row,col]).
assign(double[][][]) - Method in class cern.colt.matrix.impl.DenseDoubleMatrix3D
Sets all cells to the state specified by values.
assign(DoubleMatrix3D) - Method in class cern.colt.matrix.impl.DenseDoubleMatrix3D
Replaces all cell values of the receiver with the values of another matrix.
assign(Object[]) - Method in class cern.colt.matrix.impl.DenseObjectMatrix1D
Sets all cells to the state specified by values.
assign(ObjectFunction) - Method in class cern.colt.matrix.impl.DenseObjectMatrix1D
Assigns the result of a function to each cell; x[i] = function(x[i]).
assign(ObjectMatrix1D) - Method in class cern.colt.matrix.impl.DenseObjectMatrix1D
Replaces all cell values of the receiver with the values of another matrix.
assign(ObjectMatrix1D, ObjectObjectFunction) - Method in class cern.colt.matrix.impl.DenseObjectMatrix1D
Assigns the result of a function to each cell; x[i] = function(x[i],y[i]).
assign(Object[][]) - Method in class cern.colt.matrix.impl.DenseObjectMatrix2D
Sets all cells to the state specified by values.
assign(ObjectFunction) - Method in class cern.colt.matrix.impl.DenseObjectMatrix2D
Assigns the result of a function to each cell; x[row,col] = function(x[row,col]).
assign(ObjectMatrix2D) - Method in class cern.colt.matrix.impl.DenseObjectMatrix2D
Replaces all cell values of the receiver with the values of another matrix.
assign(ObjectMatrix2D, ObjectObjectFunction) - Method in class cern.colt.matrix.impl.DenseObjectMatrix2D
Assigns the result of a function to each cell; x[row,col] = function(x[row,col],y[row,col]).
assign(Object[][][]) - Method in class cern.colt.matrix.impl.DenseObjectMatrix3D
Sets all cells to the state specified by values.
assign(ObjectMatrix3D) - Method in class cern.colt.matrix.impl.DenseObjectMatrix3D
Replaces all cell values of the receiver with the values of another matrix.
assign(double) - Method in class cern.colt.matrix.impl.RCDoubleMatrix2D
Sets all cells to the state specified by value.
assign(DoubleFunction) - Method in class cern.colt.matrix.impl.RCDoubleMatrix2D
 
assign(DoubleMatrix2D) - Method in class cern.colt.matrix.impl.RCDoubleMatrix2D
Replaces all cell values of the receiver with the values of another matrix.
assign(DoubleMatrix2D, DoubleDoubleFunction) - Method in class cern.colt.matrix.impl.RCDoubleMatrix2D
 
assign(double) - Method in class cern.colt.matrix.impl.SparseDoubleMatrix1D
Sets all cells to the state specified by value.
assign(double) - Method in class cern.colt.matrix.impl.SparseDoubleMatrix2D
Sets all cells to the state specified by value.
assign(DoubleFunction) - Method in class cern.colt.matrix.impl.SparseDoubleMatrix2D
Assigns the result of a function to each cell; x[row,col] = function(x[row,col]).
assign(DoubleMatrix2D) - Method in class cern.colt.matrix.impl.SparseDoubleMatrix2D
Replaces all cell values of the receiver with the values of another matrix.
assign(DoubleMatrix2D, DoubleDoubleFunction) - Method in class cern.colt.matrix.impl.SparseDoubleMatrix2D
 
assign(double) - Method in class cern.colt.matrix.impl.SparseDoubleMatrix3D
Sets all cells to the state specified by value.
assign(DoubleMatrix2D, DoubleFunction) - Method in interface cern.colt.matrix.linalg.Blas
Assigns the result of a function to each cell; x[row,col] = function(x[row,col]).
assign(DoubleMatrix2D, DoubleMatrix2D, DoubleDoubleFunction) - Method in interface cern.colt.matrix.linalg.Blas
Assigns the result of a function to each cell; x[row,col] = function(x[row,col],y[row,col]).
assign(DoubleMatrix2D, DoubleFunction) - Method in class cern.colt.matrix.linalg.SeqBlas
 
assign(DoubleMatrix2D, DoubleMatrix2D, DoubleDoubleFunction) - Method in class cern.colt.matrix.linalg.SeqBlas
 
assign(DoubleMatrix2D, DoubleFunction) - Method in class cern.colt.matrix.linalg.SmpBlas
 
assign(DoubleMatrix2D, DoubleMatrix2D, DoubleDoubleFunction) - Method in class cern.colt.matrix.linalg.SmpBlas
 
assign(Object[]) - Method in class cern.colt.matrix.ObjectMatrix1D
Sets all cells to the state specified by values.
assign(ObjectFunction) - Method in class cern.colt.matrix.ObjectMatrix1D
Assigns the result of a function to each cell; x[i] = function(x[i]).
assign(ObjectMatrix1D) - Method in class cern.colt.matrix.ObjectMatrix1D
Replaces all cell values of the receiver with the values of another matrix.
assign(ObjectMatrix1D, ObjectObjectFunction) - Method in class cern.colt.matrix.ObjectMatrix1D
Assigns the result of a function to each cell; x[i] = function(x[i],y[i]).
assign(Object) - Method in class cern.colt.matrix.ObjectMatrix1D
Sets all cells to the state specified by value.
assign(Object[][]) - Method in class cern.colt.matrix.ObjectMatrix2D
Sets all cells to the state specified by values.
assign(ObjectFunction) - Method in class cern.colt.matrix.ObjectMatrix2D
Assigns the result of a function to each cell; x[row,col] = function(x[row,col]).
assign(ObjectMatrix2D) - Method in class cern.colt.matrix.ObjectMatrix2D
Replaces all cell values of the receiver with the values of another matrix.
assign(ObjectMatrix2D, ObjectObjectFunction) - Method in class cern.colt.matrix.ObjectMatrix2D
Assigns the result of a function to each cell; x[row,col] = function(x[row,col],y[row,col]).
assign(Object) - Method in class cern.colt.matrix.ObjectMatrix2D
Sets all cells to the state specified by value.
assign(Object[][][]) - Method in class cern.colt.matrix.ObjectMatrix3D
Sets all cells to the state specified by values.
assign(ObjectFunction) - Method in class cern.colt.matrix.ObjectMatrix3D
Assigns the result of a function to each cell; x[slice,row,col] = function(x[slice,row,col]).
assign(ObjectMatrix3D) - Method in class cern.colt.matrix.ObjectMatrix3D
Replaces all cell values of the receiver with the values of another matrix.
assign(ObjectMatrix3D, ObjectObjectFunction) - Method in class cern.colt.matrix.ObjectMatrix3D
Assigns the result of a function to each cell; x[row,col] = function(x[row,col],y[row,col]).
assign(Object) - Method in class cern.colt.matrix.ObjectMatrix3D
Sets all cells to the state specified by value.
assignToCluster(int) - Method in class jminhep.cluster.DataPoint
Assigns the data point to a cluster
asString() - Static method in class cern.colt.Version
Returns all version information as string.
atan - Static variable in class cern.jet.math.Functions
Function that returns Math.atan(a).
atan(ErrorProp) - Static method in class flanagan.analysis.ErrorProp
 
atan(double) - Static method in class flanagan.math.Fmath
 
atan(Complex) - Static method in class org.apache.commons.math.complex.ComplexUtils
Compute the inverse tangent for the given complex argument.
atan2 - Static variable in class cern.jet.math.Functions
Function that returns Math.atan2(a,b).
atan2(ErrorProp, ErrorProp) - Static method in class flanagan.analysis.ErrorProp
 
atan2(ErrorProp, ErrorProp, double) - Static method in class flanagan.analysis.ErrorProp
 
atan2(double, double) - Static method in class flanagan.math.Fmath
 
atanh(ErrorProp) - Static method in class flanagan.analysis.ErrorProp
 
atanh(double) - Static method in class flanagan.math.Fmath
 
atmosphere - Static variable in class cern.clhep.Units
 
atof(String) - Static method in class corejava.Format
Converts a string of digits to a double
atoi(String) - Static method in class corejava.Format
Converts a string of digits (decimal, octal or hex) to an integer
atol(String) - Static method in class corejava.Format
Converts a string of digits (decimal, octal or hex) to a long integer
autoCorrelation(DoubleArrayList, int, double, double) - Static method in class cern.jet.stat.Descriptive
Returns the auto-correlation of a data sequence.
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.
avers(double) - Static method in class flanagan.math.Fmath
 
Avogadro - Static variable in class cern.clhep.PhysicalConstants
 
axis() - Method in class hep.aida.ref.histogram.Histogram1D
Get the X axis.
axis() - Method in class hep.aida.ref.histogram.Profile1D
 

B

backward() - Method in class flanagan.integration.Integration
 
backward(int) - Method in class flanagan.integration.Integration
 
backward(IntegralFunction, double, double, int) - Static method in class flanagan.integration.Integration
 
bar - Static variable in class cern.clhep.Units
 
barn - Static variable in class cern.clhep.Units
 
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
 
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.
basicFft(double[], int, int) - Method in class flanagan.math.FourierTransform
 
BatchAnalysisFactory - Class in hep.aida.ref
 
BatchAnalysisFactory() - Constructor for class hep.aida.ref.BatchAnalysisFactory
 
becquerel - Static variable in class cern.clhep.Units
 
beforeInsert(int, boolean) - Method in class cern.colt.list.AbstractBooleanList
Inserts the specified element before the specified position into the receiver.
beforeInsert(int, byte) - Method in class cern.colt.list.AbstractByteList
Inserts the specified element before the specified position into the receiver.
beforeInsert(int, char) - Method in class cern.colt.list.AbstractCharList
Inserts the specified element before the specified position into the receiver.
beforeInsert(int, double) - Method in class cern.colt.list.AbstractDoubleList
Inserts the specified element before the specified position into the receiver.
beforeInsert(int, float) - Method in class cern.colt.list.AbstractFloatList
Inserts the specified element before the specified position into the receiver.
beforeInsert(int, int) - Method in class cern.colt.list.AbstractIntList
Inserts the specified element before the specified position into the receiver.
beforeInsert(int, long) - Method in class cern.colt.list.AbstractLongList
Inserts the specified element before the specified position into the receiver.
beforeInsert(int, short) - Method in class cern.colt.list.AbstractShortList
Inserts the specified element before the specified position into the receiver.
beforeInsert(int, boolean) - Method in class cern.colt.list.BooleanArrayList
Inserts the specified element before the specified position into the receiver.
beforeInsert(int, byte) - Method in class cern.colt.list.ByteArrayList
Inserts the specified element before the specified position into the receiver.
beforeInsert(int, char) - Method in class cern.colt.list.CharArrayList
Inserts the specified element before the specified position into the receiver.
beforeInsert(int, double) - Method in class cern.colt.list.DoubleArrayList
Inserts the specified element before the specified position into the receiver.
beforeInsert(int, float) - Method in class cern.colt.list.FloatArrayList
Inserts the specified element before the specified position into the receiver.
beforeInsert(int, int) - Method in class cern.colt.list.IntArrayList
Inserts the specified element before the specified position into the receiver.
beforeInsert(int, long) - Method in class cern.colt.list.LongArrayList
Inserts the specified element before the specified position into the receiver.
beforeInsert(int, Object) - Method in class cern.colt.list.ObjectArrayList
Inserts the specified element before the specified position into the receiver.
beforeInsert(int, short) - Method in class cern.colt.list.ShortArrayList
Inserts the specified element before the specified position into the receiver.
beforeInsertAllOf(int, Collection) - Method in class cern.colt.list.AbstractList
Inserts all elements of the specified collection before the specified position into the receiver.
beforeInsertAllOfFromTo(int, AbstractBooleanList, int, int) - Method in class cern.colt.list.AbstractBooleanList
Inserts the part of the specified list between otherFrom (inclusive) and otherTo (inclusive) before the specified position into the receiver.
beforeInsertAllOfFromTo(int, AbstractByteList, int, int) - Method in class cern.colt.list.AbstractByteList
Inserts the part of the specified list between otherFrom (inclusive) and otherTo (inclusive) before the specified position into the receiver.
beforeInsertAllOfFromTo(int, AbstractCharList, int, int) - Method in class cern.colt.list.AbstractCharList
Inserts the part of the specified list between otherFrom (inclusive) and otherTo (inclusive) before the specified position into the receiver.
beforeInsertAllOfFromTo(int, AbstractDoubleList, int, int) - Method in class cern.colt.list.AbstractDoubleList
Inserts the part of the specified list between otherFrom (inclusive) and otherTo (inclusive) before the specified position into the receiver.
beforeInsertAllOfFromTo(int, AbstractFloatList, int, int) - Method in class cern.colt.list.AbstractFloatList
Inserts the part of the specified list between otherFrom (inclusive) and otherTo (inclusive) before the specified position into the receiver.
beforeInsertAllOfFromTo(int, AbstractIntList, int, int) - Method in class cern.colt.list.AbstractIntList
Inserts the part of the specified list between otherFrom (inclusive) and otherTo (inclusive) before the specified position into the receiver.
beforeInsertAllOfFromTo(int, AbstractLongList, int, int) - Method in class cern.colt.list.AbstractLongList
Inserts the part of the specified list between otherFrom (inclusive) and otherTo (inclusive) before the specified position into the receiver.
beforeInsertAllOfFromTo(int, AbstractShortList, int, int) - Method in class cern.colt.list.AbstractShortList
Inserts the part of the specified list between otherFrom (inclusive) and otherTo (inclusive) before the specified position into the receiver.
beforeInsertAllOfFromTo(int, ObjectArrayList, int, int) - Method in class cern.colt.list.ObjectArrayList
Inserts the part of the specified list between otherFrom (inclusive) and otherTo (inclusive) before the specified position into the receiver.
Benchmark - Class in cern.colt.map
Benchmarks the classes of this package.
benchmark(int, int, String) - Static method in class cern.colt.map.Benchmark
 
Benchmark - Class in cern.jet.random
Benchmarks random number generation from various distributions as well as PDF and CDF lookups.
Benchmark - Class in cern.jet.random.engine
Benchmarks the performance of the currently provided uniform pseudo-random number generation engines.
benchmark(int) - Static method in class cern.jet.random.engine.Benchmark
Benchmarks raw() for various uniform generation engines.
BenchmarkMatrix - Class in cern.colt.matrix.bench
Configurable matrix benchmark.
Bessel - Class in cern.jet.math
Bessel and Airy functions.
Beta - Class in cern.jet.random
Beta distribution; math definition and animated definition.
Beta(double, double, RandomEngine) - Constructor for class cern.jet.random.Beta
Constructs a Beta distribution.
beta(double, double) - Static method in class cern.jet.stat.Gamma
Returns the beta function of the arguments.
beta(double, double, double) - Static method in class cern.jet.stat.Probability
Returns the area from zero to x under the beta density function.
beta() - Method in class flanagan.analysis.Regression
 
beta(double, double) - Static method in class flanagan.analysis.Stat
 
Beta - Class in org.apache.commons.math.special
This is a utility class that provides computation methods related to the Beta family of functions.
betaArray(double, double, int) - Method in class flanagan.math.PsRandom
 
betaArray(double, double, double, double, int) - Method in class flanagan.math.PsRandom
 
betaCDF(double, double, double) - Static method in class flanagan.analysis.Stat
 
betaCDF(double, double, double, double, double) - Static method in class flanagan.analysis.Stat
 
betaComplemented(double, double, double) - Static method in class cern.jet.stat.Probability
Returns the area under the right hand tail (from x to infinity) of the beta density function.
betaFunction(double, double) - Static method in class flanagan.analysis.Stat
 
betaMean(double, double) - Static method in class flanagan.analysis.Stat
 
betaMean(double, double, double, double) - Static method in class flanagan.analysis.Stat
 
betaMinMax() - Method in class flanagan.analysis.Regression
 
betaMinMaxPlot() - Method in class flanagan.analysis.Regression
 
betaMode(double, double) - Static method in class flanagan.analysis.Stat
 
betaMode(double, double, double, double) - Static method in class flanagan.analysis.Stat
 
betaPDF(double, double, double) - Static method in class flanagan.analysis.Stat
 
betaPDF(double, double, double, double, double) - Static method in class flanagan.analysis.Stat
 
betaPlot() - Method in class flanagan.analysis.Regression
 
betaRand(double, double, int) - Static method in class flanagan.analysis.Stat
 
betaRand(double, double, double, double, int) - Static method in class flanagan.analysis.Stat
 
betaRand(double, double, int, long) - Static method in class flanagan.analysis.Stat
 
betaRand(double, double, double, double, int, long) - Static method in class flanagan.analysis.Stat
 
betaStandDev(double, double) - Static method in class flanagan.analysis.Stat
 
betaStandDev(double, double, double, double) - Static method in class flanagan.analysis.Stat
 
between(double, double) - Static method in class cern.jet.math.Functions
Constructs a function that returns (from<=a && a<=to) ? 1 : 0.
between(int, int) - Static method in class cern.jet.math.IntFunctions
Constructs a function that returns (from<=a && a<=to) ? 1 : 0.
BiCubicSpline - Class in flanagan.interpolation
 
BiCubicSpline(double[], double[], double[][]) - Constructor for class flanagan.interpolation.BiCubicSpline
 
BiCubicSpline(int, int) - Constructor for class flanagan.interpolation.BiCubicSpline
 
BigMatrix - Interface in org.apache.commons.math.linear
Interface defining a real-valued matrix with basic algebraic operations, using BigDecimal representations for the entries.
BigMatrixImpl - Class in org.apache.commons.math.linear
Implementation of BigMatrix using a BigDecimal[][] array to store entries and LU decompostion to support linear system solution and inverse.
BigMatrixImpl() - Constructor for class org.apache.commons.math.linear.BigMatrixImpl
Creates a matrix with no data
BigMatrixImpl(int, int) - Constructor for class org.apache.commons.math.linear.BigMatrixImpl
Create a new BigMatrix with the supplied row and column dimensions.
BigMatrixImpl(BigDecimal[][]) - Constructor for class org.apache.commons.math.linear.BigMatrixImpl
Create a new BigMatrix using the data as the underlying data array.
BigMatrixImpl(double[][]) - Constructor for class org.apache.commons.math.linear.BigMatrixImpl
Create a new BigMatrix using the data as the underlying data array.
BigMatrixImpl(String[][]) - Constructor for class org.apache.commons.math.linear.BigMatrixImpl
Create a new BigMatrix using the values represented by the strings in data as the underlying data array.
BigMatrixImpl(BigDecimal[]) - Constructor for class org.apache.commons.math.linear.BigMatrixImpl
Create a new (column) BigMatrix using v as the data for the unique column of the v.length x 1 matrix created.
bin(DoubleMatrix1D) - Static method in class cern.colt.matrix.doublealgo.Statistic
Fills all cell values of the given vector into a bin from which statistics measures can be retrieved efficiently.
binarySearch(boolean) - Method in class cern.colt.list.AbstractBooleanList
Searches the receiver for the specified value using the binary search algorithm.
binarySearch(byte) - Method in class cern.colt.list.AbstractByteList
Searches the receiver for the specified value using the binary search algorithm.
binarySearch(char) - Method in class cern.colt.list.AbstractCharList
Searches the receiver for the specified value using the binary search algorithm.
binarySearch(double) - Method in class cern.colt.list.AbstractDoubleList
Searches the receiver for the specified value using the binary search algorithm.
binarySearch(float) - Method in class cern.colt.list.AbstractFloatList
Searches the receiver for the specified value using the binary search algorithm.
binarySearch(int) - Method in class cern.colt.list.AbstractIntList
Searches the receiver for the specified value using the binary search algorithm.
binarySearch(long) - Method in class cern.colt.list.AbstractLongList
Searches the receiver for the specified value using the binary search algorithm.
binarySearch(short) - Method in class cern.colt.list.AbstractShortList
Searches the receiver for the specified value using the binary search algorithm.
binarySearch(Object) - Method in class cern.colt.list.ObjectArrayList
Searches the receiver for the specified value using the binary search algorithm.
binarySearchFromTo(boolean, int, int) - Method in class cern.colt.list.AbstractBooleanList
Searches the receiver for the specified value using the binary search algorithm.
binarySearchFromTo(byte, int, int) - Method in class cern.colt.list.AbstractByteList
Searches the receiver for the specified value using the binary search algorithm.
binarySearchFromTo(char, int, int) - Method in class cern.colt.list.AbstractCharList
Searches the receiver for the specified value using the binary search algorithm.
binarySearchFromTo(double, int, int) - Method in class cern.colt.list.AbstractDoubleList
Searches the receiver for the specified value using the binary search algorithm.
binarySearchFromTo(float, int, int) - Method in class cern.colt.list.AbstractFloatList
Searches the receiver for the specified value using the binary search algorithm.
binarySearchFromTo(int, int, int) - Method in class cern.colt.list.AbstractIntList
Searches the receiver for the specified value using the binary search algorithm.
binarySearchFromTo(long, int, int) - Method in class cern.colt.list.AbstractLongList
Searches the receiver for the specified value using the binary search algorithm.
binarySearchFromTo(short, int, int) - Method in class cern.colt.list.AbstractShortList
Searches the receiver for the specified value using the binary search algorithm.
binarySearchFromTo(byte, int, int) - Method in class cern.colt.list.ByteArrayList
Searches the receiver for the specified value using the binary search algorithm.
binarySearchFromTo(char, int, int) - Method in class cern.colt.list.CharArrayList
Searches the receiver for the specified value using the binary search algorithm.
binarySearchFromTo(double, int, int) - Method in class cern.colt.list.DoubleArrayList
Searches the receiver for the specified value using the binary search algorithm.
binarySearchFromTo(float, int, int) - Method in class cern.colt.list.FloatArrayList
Searches the receiver for the specified value using the binary search algorithm.
binarySearchFromTo(int, int, int) - Method in class cern.colt.list.IntArrayList
Searches the receiver for the specified value using the binary search algorithm.
binarySearchFromTo(long, int, int) - Method in class cern.colt.list.LongArrayList
Searches the receiver for the specified value using the binary search algorithm.
binarySearchFromTo(Object, int, int) - Method in class cern.colt.list.ObjectArrayList
Searches the receiver for the specified value using the binary search algorithm.
binarySearchFromTo(Object, int, int, Comparator) - Method in class cern.colt.list.ObjectArrayList
Searches the receiver for the specified value using the binary search algorithm.
binarySearchFromTo(short, int, int) - Method in class cern.colt.list.ShortArrayList
Searches the receiver for the specified value using the binary search algorithm.
binarySearchFromTo(byte[], byte, int, int) - Static method in class cern.colt.Sorting
Searches the list for the specified value using the binary search algorithm.
binarySearchFromTo(char[], char, int, int) - Static method in class cern.colt.Sorting
Searches the list for the specified value using the binary search algorithm.
binarySearchFromTo(double[], double, int, int) - Static method in class cern.colt.Sorting
Searches the list for the specified value using the binary search algorithm.
binarySearchFromTo(float[], float, int, int) - Static method in class cern.colt.Sorting
Searches the list for the specified value using the binary search algorithm.
binarySearchFromTo(int[], int, int, int) - Static method in class cern.colt.Sorting
Searches the list for the specified value using the binary search algorithm.
binarySearchFromTo(long[], long, int, int) - Static method in class cern.colt.Sorting
Searches the list for the specified value using the binary search algorithm.
binarySearchFromTo(Object[], Object, int, int, Comparator) - Static method in class cern.colt.Sorting
Searches the list for the specified value using the binary search algorithm.
binarySearchFromTo(short[], short, int, int) - Static method in class cern.colt.Sorting
Searches the list for the specified value using the binary search algorithm.
binarySearchFromTo(int, int, IntComparator) - Static method in class cern.colt.Sorting
Generically searches the list for the specified value using the binary search algorithm.
BinBinFunction1D - Interface in cern.hep.aida.bin
Interface that represents a function object: a function that takes two bins as arguments and returns a single value.
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 centers
binCentre(int) - Method in class cern.hep.aida.ref.FixedAxis
 
binCentre(int) - Method in class cern.hep.aida.ref.VariableAxis
 
bindArg1(DoubleDoubleFunction, double) - Static method in class cern.jet.math.Functions
Constructs a unary function from a binary function with the first operand (argument) fixed to the given constant c.
bindArg1(IntIntFunction, int) - Static method in class cern.jet.math.IntFunctions
Constructs a unary function from a binary function with the first operand (argument) fixed to the given constant c.
bindArg2(DoubleDoubleFunction, double) - Static method in class cern.jet.math.Functions
Constructs a unary function from a binary function with the second operand (argument) fixed to the given constant c.
bindArg2(IntIntFunction, int) - Static method in class cern.jet.math.IntFunctions
Constructs a unary function from a binary function with the second operand (argument) fixed to the given constant c.
binEntries(int) - Method in class cern.hep.aida.ref.Histogram1D
 
binEntries(int, int) - Method in class cern.hep.aida.ref.Histogram2D
 
binEntries(int, int, int) - Method in class cern.hep.aida.ref.Histogram3D
 
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
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(int) - Method in class cern.hep.aida.ref.Histogram1D
 
binError(int, int) - Method in class cern.hep.aida.ref.Histogram2D
 
binError(int, int, int) - Method in class cern.hep.aida.ref.Histogram3D
 
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
BinFunction1D - Interface in cern.hep.aida.bin
Interface that represents a function object: a function that takes two bins as arguments and returns a single value.
BinFunctions1D - Class in cern.hep.aida.bin
Function objects computing dynamic bin aggregations; to be passed to generic methods.
binHeight(int) - Method in class cern.hep.aida.ref.Histogram1D
 
binHeight(int, int) - Method in class cern.hep.aida.ref.Histogram2D
 
binHeight(int, int, int) - Method in class cern.hep.aida.ref.Histogram3D
 
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
Hight of the corresponding bin
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 cern.hep.aida.ref.FixedAxis
 
binLowerEdge(int) - Method in class cern.hep.aida.ref.VariableAxis
 
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
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
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
 
binOfElement(float) - Method in class cern.jet.stat.quantile.EquiDepthHistogram
Returns the bin index of the given element.
binomial(double, long) - Static method in class cern.jet.math.Arithmetic
Efficiently returns the binomial coefficient, often also referred to as "n over k" or "n choose k".
binomial(long, long) - Static method in class cern.jet.math.Arithmetic
Efficiently returns the binomial coefficient, often also referred to as "n over k" or "n choose k".
Binomial - Class in cern.jet.random
Binomial distribution; See the math definition and animated definition.
Binomial(int, double, RandomEngine) - Constructor for class cern.jet.random.Binomial
Constructs a binomial distribution.
binomial(int, int, double) - Static method in class cern.jet.stat.Probability
Returns the sum of the terms 0 through k of the Binomial probability density.
binomial(double, int, int) - Static method in class flanagan.analysis.Stat
 
binomialArray(double, int, int) - Method in class flanagan.math.PsRandom
 
binomialCDF(double, int, int) - Static method in class flanagan.analysis.Stat
 
binomialCoeff(int, int) - Static method in class flanagan.analysis.Stat
 
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.
binomialComplemented(int, int, double) - Static method in class cern.jet.stat.Probability
Returns the sum of the terms k+1 through n of the Binomial probability density.
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.
binomialPDF(double, int, int) - Static method in class flanagan.analysis.Stat
 
binomialProb(double, int, int) - Static method in class flanagan.analysis.Stat
 
binomialRand(double, int, int) - Method in class flanagan.analysis.Stat
 
binomialRand(double, int, int, long) - Method in class flanagan.analysis.Stat
 
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
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 cern.hep.aida.ref.FixedAxis
 
bins() - Method in class cern.hep.aida.ref.VariableAxis
 
bins() - Method in class cern.jet.stat.quantile.EquiDepthHistogram
Returns the number of bins.
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 cern.hep.aida.ref.FixedAxis
 
binUpperEdge(int) - Method in class cern.hep.aida.ref.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
binWidth(int) - Method in class cern.hep.aida.ref.FixedAxis
 
binWidth(int) - Method in class cern.hep.aida.ref.VariableAxis
 
binWidth(int) - Method in class hep.aida.ref.histogram.FixedAxis
Get the bin width.
binWidth(int) - Method in class hep.aida.ref.histogram.VariableAxis
 
BisectionSolver - Class in org.apache.commons.math.analysis
Implements the bisection algorithm for finding zeros of univariate real functions.
BisectionSolver(UnivariateRealFunction) - Constructor for class org.apache.commons.math.analysis.BisectionSolver
Construct a solver for the given function.
bitArray(int) - Method in class flanagan.math.PsRandom
 
bitMaskWithBitsSetFromTo(int, int) - Static method in class cern.colt.bitvector.QuickBitVector
Returns a bit mask with bits in the specified range set to 1, all the rest set to 0.
BitMatrix - Class in cern.colt.bitvector
Fixed sized (non resizable) n*m bit matrix.
BitMatrix(int, int) - Constructor for class cern.colt.bitvector.BitMatrix
Constructs a bit matrix with a given number of columns and rows.
bitsPerElement() - Method in class cern.colt.list.MinMaxNumberList
Returns the number of bits necessary to store a single element.
bitsPerElement(long, long) - Static method in class cern.colt.list.MinMaxNumberList
Returns the number of bits necessary to store values in the range [minimum,maximum].
BitVector - Class in cern.colt.bitvector
Fixed sized (non resizable) bitvector.
BitVector(long[], int) - Constructor for class cern.colt.bitvector.BitVector
You normally need not use this method.
BitVector(int) - Constructor for class cern.colt.bitvector.BitVector
Constructs a bit vector that holds size bits.
Blas - Interface in cern.colt.matrix.linalg
Subset of the BLAS (Basic Linear Algebra System); High quality "building block" routines for performing basic vector and matrix operations.
Bohr_radius - Static variable in class cern.clhep.PhysicalConstants
 
BooleanArrayList - Class in cern.colt.list
Resizable list holding boolean elements; implemented with arrays.
BooleanArrayList() - Constructor for class cern.colt.list.BooleanArrayList
Constructs an empty list.
BooleanArrayList(boolean[]) - Constructor for class cern.colt.list.BooleanArrayList
Constructs a list containing the specified elements.
BooleanArrayList(int) - Constructor for class cern.colt.list.BooleanArrayList
Constructs an empty list with the specified initial capacity.
BooleanProcedure - Interface in cern.colt.function
Interface that represents a procedure object: a procedure that takes a single argument and does not return a value.
bracket(UnivariateRealFunction, double, double, double) - Static method in class org.apache.commons.math.analysis.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.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.
BRAY_CURTIS - Static variable in class cern.colt.matrix.doublealgo.Statistic
Bray-Curtis distance function; Sum( abs(x[i]-y[i]) ) / Sum( x[i]+y[i] ).
BreitWigner - Class in cern.jet.random
BreitWigner (aka Lorentz) distribution; See the math definition.
BreitWigner(double, double, double, RandomEngine) - Constructor for class cern.jet.random.BreitWigner
Constructs a BreitWigner distribution.
BreitWignerMeanSquare - Class in cern.jet.random
Mean-square BreitWigner distribution; See the math definition.
BreitWignerMeanSquare(double, double, double, RandomEngine) - Constructor for class cern.jet.random.BreitWignerMeanSquare
Constructs a mean-squared BreitWigner distribution.
BrentSolver - Class in org.apache.commons.math.analysis
Implements the Brent algorithm for finding zeros of real univariate functions.
BrentSolver(UnivariateRealFunction) - Constructor for class org.apache.commons.math.analysis.BrentSolver
Construct a solver for the given function.
BRoot - Class in jhplot
Show 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
buffered(int) - Method in class cern.hep.aida.bin.AbstractBin1D
Constructs and returns a streaming buffer connected to the receiver.
ByteArrayList - Class in cern.colt.list
Resizable list holding byte elements; implemented with arrays.
ByteArrayList() - Constructor for class cern.colt.list.ByteArrayList
Constructs an empty list.
ByteArrayList(byte[]) - Constructor for class cern.colt.list.ByteArrayList
Constructs a list containing the specified elements.
ByteArrayList(int) - Constructor for class cern.colt.list.ByteArrayList
Constructs an empty list with the specified initial capacity.
ByteComparator - Interface in cern.colt.function
A comparison function which imposes a total ordering on some collection of elements.
ByteProcedure - Interface in cern.colt.function
Interface that represents a procedure object: a procedure that takes a single argument and does not return a value.
byteTOdouble(byte[]) - Static method in class flanagan.math.Fmath
 
byteTOfloat(byte[]) - Static method in class flanagan.math.Fmath
 
byteTOint(byte[]) - Static method in class flanagan.math.Fmath
 
byteTOlong(byte[]) - Static method in class flanagan.math.Fmath
 
byteTOshort(byte[]) - Static method in class flanagan.math.Fmath
 

C

c_light - Static variable in class cern.clhep.PhysicalConstants
 
C_LIGHT - Static variable in class flanagan.math.Fmath
 
c_squared - Static variable in class cern.clhep.PhysicalConstants
 
calcBMIimperial(double, double) - Static method in class flanagan.math.Fmath
 
calcBMImetric(double, double) - Static method in class flanagan.math.Fmath
 
calcDataLength(boolean, int, int) - Static method in class flanagan.math.FourierTransform
 
calcDeriv() - Method in class flanagan.interpolation.BiCubicSpline
 
calcDeriv() - Method in class flanagan.interpolation.CubicSpline
 
calcDistance(double[], double[]) - Static method in class jminhep.cluster.Get
This method calculates the Euclidean distance between two N-ncolsional vectors.
calcSquaredDistance(double[], double[]) - Static method in class jminhep.cluster.Get
This method calculates the squared distance between two N-dimesional vectors.
calculateCumulativeValues(double[], double[], double[], ErrorProp[], int, double, double, String) - Method in class flanagan.analysis.Regression
 
calculateNormalizationAmplitude() - Method in class hep.aida.ref.function.BaseModelFunction
 
calcWeightFromBMIimperial(double, double) - Static method in class flanagan.math.Fmath
 
calcWeightFromBMImetric(double, double) - Static method in class flanagan.math.Fmath
 
calorieToJoule(double) - Static method in class flanagan.math.Fmath
 
CANBERRA - Static variable in class cern.colt.matrix.doublealgo.Statistic
Canberra distance function; Sum( abs(x[i]-y[i]) / abs(x[i]+y[i]) ).
candela - Static variable in class cern.clhep.Units
 
cardinality() - Method in class cern.colt.bitvector.BitMatrix
Returns the number of bits currently in the true state.
cardinality() - Method in class cern.colt.bitvector.BitVector
Returns the number of bits currently in the true state.
cardinality() - Method in class cern.colt.matrix.DoubleMatrix1D
Returns the number of cells having non-zero values; ignores tolerance.
cardinality() - Method in class cern.colt.matrix.DoubleMatrix2D
Returns the number of cells having non-zero values; ignores tolerance.
cardinality() - Method in class cern.colt.matrix.DoubleMatrix3D
Returns the number of cells having non-zero values; ignores tolerance.
cardinality() - Method in class cern.colt.matrix.impl.SparseDoubleMatrix1D
Returns the number of cells having non-zero values.
cardinality() - Method in class cern.colt.matrix.impl.SparseDoubleMatrix2D
Returns the number of cells having non-zero values.
cardinality() - Method in class cern.colt.matrix.impl.SparseDoubleMatrix3D
Returns the number of cells having non-zero values.
cardinality() - Method in class cern.colt.matrix.impl.SparseObjectMatrix1D
Returns the number of cells having non-zero values.
cardinality() - Method in class cern.colt.matrix.impl.SparseObjectMatrix2D
Returns the number of cells having non-zero values.
cardinality() - Method in class cern.colt.matrix.impl.SparseObjectMatrix3D
Returns the number of cells having non-zero values.
cardinality() - Method in class cern.colt.matrix.ObjectMatrix1D
Returns the number of cells having non-zero values; ignores tolerance.
cardinality() - Method in class cern.colt.matrix.ObjectMatrix2D
Returns the number of cells having non-zero values; ignores tolerance.
cardinality() - Method in class cern.colt.matrix.ObjectMatrix3D
Returns the number of cells having non-zero values; ignores tolerance.
cashKarp(DerivFunction, double, double, double, double, double, double, int) - Static method in class flanagan.integration.RungeKutta
 
cashKarp(DerivFunction, double, double, double, double, double, double) - Static method in class flanagan.integration.RungeKutta
 
cashKarp(DerivnFunction, double, double[], double, double, double, double, int) - Static method in class flanagan.integration.RungeKutta
 
cashKarp(DerivnFunction, double, double[], double, double, double, double) - Static method in class flanagan.integration.RungeKutta
 
catalog() - Method in class hep.aida.ref.function.FunctionFactory
get access to the function catalog
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.
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.
cdf(double) - Method in class cern.jet.random.Beta
Returns the cumulative distribution function.
cdf(int) - Method in class cern.jet.random.Binomial
Returns the cumulative distribution function.
cdf(double) - Method in class cern.jet.random.ChiSquare
Returns the cumulative distribution function.
cdf(int) - Method in class cern.jet.random.Empirical
Returns the cumulative distribution function.
cdf(int) - Method in class cern.jet.random.EmpiricalWalker
Returns the cumulative distribution function.
cdf(double) - Method in class cern.jet.random.Exponential
Returns the cumulative distribution function.
cdf(double) - Method in class cern.jet.random.Gamma
Returns the cumulative distribution function.
cdf(int) - Method in class cern.jet.random.NegativeBinomial
Returns the cumulative distribution function.
cdf(double) - Method in class cern.jet.random.Normal
Returns the cumulative distribution function.
cdf(int) - Method in class cern.jet.random.Poisson
Returns the cumulative distribution function.
cdf(double) - Method in class cern.jet.random.StudentT
Returns the cumulative distribution function.
cdf(double) - Method in class cern.jet.random.Uniform
Returns the cumulative distribution function (assuming a continous uniform distribution).
ceil(double) - Static method in class cern.jet.math.Arithmetic
Returns the smallest long >= value.
ceil - Static variable in class cern.jet.math.Functions
Function that returns Math.ceil(a).
celsiusToFahren(double) - Static method in class flanagan.math.Fmath
 
celsiusToKelvin(double) - Static method in class flanagan.math.Fmath
 
CENTER - Static variable in class cern.colt.matrix.impl.AbstractFormatter
The alignment string aligning the cells of a column to its center.
center() - Method in class cern.hep.aida.bin.AbstractBin
Returns center(0).
center(int) - Method in class cern.hep.aida.bin.AbstractBin
Returns a custom definable "center" measure; override this method if necessary.
center - Variable in class hep.aida.ref.histogram.Histogram1D
 
centimeter - Static variable in class cern.clhep.Units
 
centimeter2 - Static variable in class cern.clhep.Units
 
centimeter3 - Static variable in class cern.clhep.Units
 
cern.clhep - package cern.clhep
A Java port of CLHEP 1.4.0 (C++) - A Class Library for High Energy Physics; still quite incomplete - should probably find a way to take cern.clhep out of this distribution and merge cern.clhep with hep.lcd (SLAC).
cern.colt - package cern.colt
Core base classes; Operations on primitive arrays such as sorting, partitioning and permuting.
cern.colt.bitvector - package cern.colt.bitvector
Bit vectors and bit matrices.
cern.colt.buffer - package cern.colt.buffer
Fixed sized (non resizable) streaming buffers connected to a target objects to which data is automatically flushed upon buffer overflow.
cern.colt.function - package cern.colt.function
Core interfaces for functions, comparisons and procedures on objects and primitive data types.
cern.colt.list - package cern.colt.list
Resizable lists holding objects or primitive data types such as int, double, etc.
cern.colt.list.adapter - package cern.colt.list.adapter
List adapters that make Colt lists compatible with the JDK 1.2 Collections Framework.
cern.colt.map - package cern.colt.map
Automatically growing and shrinking maps holding objects or primitive data types such as int, double, etc.
cern.colt.matrix - package cern.colt.matrix
 
cern.colt.matrix.bench - package cern.colt.matrix.bench
Matrix benchmarks.
cern.colt.matrix.doublealgo - package cern.colt.matrix.doublealgo
Double matrix algorithms such as print formatting, sorting, partitioning and statistics.
cern.colt.matrix.impl - package cern.colt.matrix.impl
Matrix implementations; You normally need not look at this package, because all concrete classes implement the abstract interfaces of cern.colt.matrix, without subsetting or supersetting.
cern.colt.matrix.linalg - package cern.colt.matrix.linalg
Linear Algebraic matrix computations operating on DoubleMatrix2D and DoubleMatrix1D.
cern.colt.matrix.objectalgo - package cern.colt.matrix.objectalgo
Object matrix algorithms such as print formatting, sorting, partitioning and statistics.
cern.hep.aida.bin - package cern.hep.aida.bin
Multisets (bags) with efficient statistics operations defined upon; This package requires the Colt distribution.
cern.hep.aida.ref - package cern.hep.aida.ref
Reference implementation of the AIDA histogram interfaces.
cern.jet.math - package cern.jet.math
Tools for basic and advanced mathematics: Arithmetics and Algebra, Polynomials and Chebyshev series, Bessel and Airy functions, Function Objects for generic function evaluation, etc.
cern.jet.random - package cern.jet.random
Large variety of probability distributions featuring high performance generation of random numbers, CDF's and PDF's.
cern.jet.random.engine - package cern.jet.random.engine
Engines generating strong uniformly distributed pseudo-random numbers; Needed by all JET probability distributions since they rely on uniform random numbers to generate random numbers from their own distribution.
cern.jet.random.sampling - package cern.jet.random.sampling
Samples (picks) random subsets of data sequences.
cern.jet.stat - package cern.jet.stat
Tools for basic and advanced statistics: Estimators, Gamma functions, Beta functions, Probabilities, Special integrals, etc.
cern.jet.stat.quantile - package cern.jet.stat.quantile
Scalable algorithms and data structures to compute approximate quantiles over very large data sequences.
chain(DoubleDoubleFunction, DoubleFunction, DoubleFunction) - Static method in class cern.jet.math.Functions
Constructs the function f( g(a), h(b) ).
chain(DoubleFunction, DoubleDoubleFunction) - Static method in class cern.jet.math.Functions
Constructs the function g( h(a,b) ).
chain(DoubleFunction, DoubleFunction) - Static method in class cern.jet.math.Functions
Constructs the function g( h(a) ).
chain(IntFunction, IntFunction) - Static method in class cern.jet.math.IntFunctions
Constructs the function g( h(a) ).
chain(IntFunction, IntIntFunction) - Static method in class cern.jet.math.IntFunctions
Constructs the function g( h(a,b) ).
chain(IntIntFunction, IntFunction, IntFunction) - Static method in class cern.jet.math.IntFunctions
Constructs the function f( g(a), h(b) ).
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
 
CharArrayList - Class in cern.colt.list
Resizable list holding char elements; implemented with arrays.
CharArrayList() - Constructor for class cern.colt.list.CharArrayList
Constructs an empty list.
CharArrayList(char[]) - Constructor for class cern.colt.list.CharArrayList
Constructs a list containing the specified elements.
CharArrayList(int) - Constructor for class cern.colt.list.CharArrayList
Constructs an empty list with the specified initial capacity.
CharComparator - Interface in cern.colt.function
A comparison function which imposes a total ordering on some collection of elements.
CharProcedure - Interface in cern.colt.function
Interface that represents a procedure object: a procedure that takes a single argument and does not return a value.
chbevl(double, double[], int) - Static method in class cern.jet.math.Arithmetic
Evaluates the series of Chebyshev polynomials Ti at argument x/2.
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.
checkForIdenticalPoints() - Method in class flanagan.interpolation.CubicSpline
 
checkIntegerTimesPowerOfTwo(int) - Static method in class flanagan.math.FourierTransform
 
checkPowerOfTwo(int) - Static method in class flanagan.math.FourierTransform
 
checkRectangular(DoubleMatrix2D) - Method in class cern.colt.matrix.linalg.Property
Checks whether the given matrix A is rectangular.
checkShape(AbstractMatrix2D) - Method in class cern.colt.matrix.impl.AbstractMatrix2D
Sanity check for operations requiring two matrices with the same number of columns and rows.
checkShape(AbstractMatrix2D, AbstractMatrix2D) - Method in class cern.colt.matrix.impl.AbstractMatrix2D
Sanity check for operations requiring matrices with the same number of columns and rows.
checkShape(AbstractMatrix3D) - Method in class cern.colt.matrix.impl.AbstractMatrix3D
Sanity check for operations requiring two matrices with the same number of slices, rows and columns.
checkShape(AbstractMatrix3D, AbstractMatrix3D) - Method in class cern.colt.matrix.impl.AbstractMatrix3D
Sanity check for operations requiring matrices with the same number of slices, rows and columns.
checkSize(AbstractMatrix1D) - Method in class cern.colt.matrix.impl.AbstractMatrix1D
Sanity check for operations requiring two matrices with the same size.
checkSquare(DoubleMatrix2D) - Method in class cern.colt.matrix.linalg.Property
Checks whether the given matrix A is square.
checkYallSmall(double, String) - Method in class flanagan.analysis.Regression
 
checkZeroNeg(double[], double[], double[]) - Method in class flanagan.analysis.Regression
 
ChiSquare - Class in cern.jet.random
ChiSquare distribution; See the math definition and animated definition.
ChiSquare(double, RandomEngine) - Constructor for class cern.jet.random.ChiSquare
Constructs a ChiSquare distribution.
chiSquare(double, double) - Static method in class cern.jet.stat.Probability
Returns the area under the left hand tail (from 0 to x) of the Chi square probability density function with v degrees of freedom.
chiSquare(double[], double[], double[]) - Static method in class flanagan.analysis.Stat
 
chiSquare(double[], long[]) - Method in interface org.apache.commons.math.stat.inference.ChiSquareTest
Computes the Chi-Square statistic comparing observed and expected freqeuncy 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
 
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
 
chiSquareArray(int, int) - Method in class flanagan.math.PsRandom
 
chiSquareArray(int) - Method in class flanagan.math.PsRandom
 
chiSquareCDF(double, int) - Static method in class flanagan.analysis.Stat
 
chiSquareComplemented(double, double) - Static method in class cern.jet.stat.Probability
Returns the area under the right hand tail (from x to infinity) of the Chi square probability density function with v degrees of freedom.
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.
ChiSquaredFitMethod - Class in hep.aida.ref.fitter.fitmethod
 
ChiSquaredFitMethod() - Constructor for class hep.aida.ref.fitter.fitmethod.ChiSquaredFitMethod
 
chiSquareFreq(double[], double[]) - Static method in class flanagan.analysis.Stat
 
chiSquareFreq(int[], int[]) - Static method in class flanagan.analysis.Stat
 
chiSquareMean(int) - Static method in class flanagan.analysis.Stat
 
chiSquareMode(int) - Static method in class flanagan.analysis.Stat
 
chiSquarePDF(double, int) - Static method in class flanagan.analysis.Stat
 
chiSquareProb(double, int) - Static method in class flanagan.analysis.Stat
 
chiSquareRand(int, int) - Static method in class flanagan.analysis.Stat
 
chiSquareRand(int, int, long) - Static method in class flanagan.analysis.Stat
 
chiSquareStandDev(int) - Static method in class flanagan.analysis.Stat
 
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
 
chiSquareTest(double[], long[], double) - Method in class org.apache.commons.math.stat.inference.ChiSquareTestImpl
 
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
 
ChiSquareTestImpl - Class in org.apache.commons.math.stat.inference
Implements Chi-Square test statistics defined in the ChiSquareTest interface.
ChiSquareTestImpl() - Constructor for class org.apache.commons.math.stat.inference.ChiSquareTestImpl
Construct a ChiSquareTestImpl
CholeskyDecomposition - Class in cern.colt.matrix.linalg
For a symmetric, positive definite matrix A, the Cholesky decomposition is a lower triangular matrix L so that A = L*L'; If the matrix is not symmetric or positive definite, the constructor returns a partial decomposition and sets an internal flag that may be queried by the isSymmetricPositiveDefinite() method.
CholeskyDecomposition(DoubleMatrix2D) - Constructor for class cern.colt.matrix.linalg.CholeskyDecomposition
Constructs and returns a new Cholesky decomposition object for a symmetric and positive definite matrix; The decomposed matrices can be retrieved via instance methods of the returned decomposition object.
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.
classic_electr_radius - Static variable in class cern.clhep.PhysicalConstants
 
clear() - Method in class cern.colt.bitvector.BitMatrix
Clears all bits of the receiver.
clear() - Method in class cern.colt.bitvector.BitVector
Clears all bits of the receiver.
clear(int) - Method in class cern.colt.bitvector.BitVector
Changes the bit with index bitIndex to the "clear" (false) state.
clear(long[], int) - Static method in class cern.colt.bitvector.QuickBitVector
Changes the bit with index bitIndex in the bitvector bits to the "clear" (false) state.
clear() - Method in class cern.colt.buffer.DoubleBuffer
Sets the receiver's size to zero.
clear() - Method in class cern.colt.buffer.DoubleBuffer2D
Sets the receiver's size to zero.
clear() - Method in class cern.colt.buffer.DoubleBuffer3D
Sets the receiver's size to zero.
clear() - Method in class cern.colt.buffer.IntBuffer
Sets the receiver's size to zero.
clear() - Method in class cern.colt.buffer.IntBuffer2D
Sets the receiver's size to zero.
clear() - Method in class cern.colt.buffer.IntBuffer3D
Sets the receiver's size to zero.
clear() - Method in class cern.colt.buffer.ObjectBuffer
Sets the receiver's size to zero.
clear() - Method in class cern.colt.list.AbstractCollection
Removes all elements from the receiver.
clear() - Method in class cern.colt.list.AbstractList
Removes all elements from the receiver.
clear() - Method in class cern.colt.map.AbstractMap
Removes all (key,value) associations from the receiver.
clear() - Method in class cern.colt.map.OpenDoubleIntHashMap
Removes all (key,value) associations from the receiver.
clear() - Method in class cern.colt.map.OpenIntDoubleHashMap
Removes all (key,value) associations from the receiver.
clear() - Method in class cern.colt.map.OpenIntIntHashMap
Removes all (key,value) associations from the receiver.
clear() - Method in class cern.colt.map.OpenIntObjectHashMap
Removes all (key,value) associations from the receiver.
clear() - Method in class cern.colt.map.OpenLongObjectHashMap
Removes all (key,value) associations from the receiver.
clear() - Method in class cern.hep.aida.bin.AbstractBin
Removes all elements from the receiver.
clear() - Method in class cern.hep.aida.bin.DynamicBin1D
Removes all elements from the receiver.
clear() - Method in class cern.hep.aida.bin.QuantileBin1D
Removes all elements from the receiver.
clear() - Method in class cern.hep.aida.bin.StaticBin1D
Removes all elements from the receiver.
clear() - Method in interface cern.jet.stat.quantile.DoubleQuantileFinder
Removes all elements from the receiver.
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.HChart
Clear the current graph including graph settings.
clear(int, int) - Method in class jhplot.HChart
Clear the chart characterised 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 characterised 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.P1D
Clear the container
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
 
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.DescriptiveStatisticsImpl
 
clear() - Method in class org.apache.commons.math.stat.descriptive.moment.FirstMoment
 
clear() - Method in class org.apache.commons.math.stat.descriptive.moment.FourthMoment
 
clear() - Method in class org.apache.commons.math.stat.descriptive.moment.GeometricMean
 
clear() - Method in class org.apache.commons.math.stat.descriptive.moment.Kurtosis
 
clear() - Method in class org.apache.commons.math.stat.descriptive.moment.Mean
 
clear() - Method in class org.apache.commons.math.stat.descriptive.moment.SecondMoment
 
clear() - Method in class org.apache.commons.math.stat.descriptive.moment.Skewness
 
clear() - Method in class org.apache.commons.math.stat.descriptive.moment.StandardDeviation
 
clear() - Method in class org.apache.commons.math.stat.descriptive.moment.ThirdMoment
 
clear() - Method in class org.apache.commons.math.stat.descriptive.moment.Variance
 
clear() - Method in class org.apache.commons.math.stat.descriptive.rank.Max
 
clear() - Method in class org.apache.commons.math.stat.descriptive.rank.Min
 
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
 
clear() - Method in class org.apache.commons.math.stat.descriptive.summary.Sum
 
clear() - Method in class org.apache.commons.math.stat.descriptive.summary.SumOfLogs
 
clear() - Method in class org.apache.commons.math.stat.descriptive.summary.SumOfSquares
 
clear() - Method in class org.apache.commons.math.stat.descriptive.SummaryStatistics
Resets all statistics
clear() - Method in class org.apache.commons.math.stat.descriptive.SummaryStatisticsImpl
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.
clearAllData() - Method in class jhplot.HPlot
Clear all graphs from the input data.
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.
clearObservable() - Method in class hep.aida.ref.event.ObserverAdapter
 
clearPlot() - Method in class jhplot.HChart
Clear plot
CleverChiSquaredFitMethod - Class in hep.aida.ref.fitter.fitmethod
 
CleverChiSquaredFitMethod() - Constructor for class hep.aida.ref.fitter.fitmethod.CleverChiSquaredFitMethod
 
clone() - Method in class cern.colt.bitvector.BitMatrix
Cloning this BitMatrix produces a new BitMatrix that is equal to it.
clone() - Method in class cern.colt.bitvector.BitVector
Cloning this BitVector produces a new BitVector that is equal to it.
clone() - Method in class cern.colt.list.AbstractBooleanList
Returns a deep copy of the receiver.
clone() - Method in class cern.colt.list.AbstractByteList
Returns a deep copy of the receiver.
clone() - Method in class cern.colt.list.AbstractCharList
Returns a deep copy of the receiver.
clone() - Method in class cern.colt.list.AbstractDoubleList
Returns a deep copy of the receiver.
clone() - Method in class cern.colt.list.AbstractFloatList
Returns a deep copy of the receiver.
clone() - Method in class cern.colt.list.AbstractIntList
Returns a deep copy of the receiver.
clone() - Method in class cern.colt.list.AbstractLongList
Returns a deep copy of the receiver.
clone() - Method in class cern.colt.list.AbstractShortList
Returns a deep copy of the receiver.
clone() - Method in class cern.colt.list.BooleanArrayList
Returns a deep copy of the receiver.
clone() - Method in class cern.colt.list.ByteArrayList
Returns a deep copy of the receiver.
clone() - Method in class cern.colt.list.CharArrayList
Returns a deep copy of the receiver.
clone() - Method in class cern.colt.list.DoubleArrayList
Returns a deep copy of the receiver.
clone() - Method in class cern.colt.list.FloatArrayList
Returns a deep copy of the receiver.
clone() - Method in class cern.colt.list.IntArrayList
Returns a deep copy of the receiver.
clone() - Method in class cern.colt.list.LongArrayList
Returns a deep copy of the receiver.
clone() - Method in class cern.colt.list.ObjectArrayList
Returns a copy of the receiver such that the copy and the receiver share the same elements, but do not share the same array to index them; So modifying an object in the copy modifies the object in the receiver and vice versa; However, structurally modifying the copy (for example changing its size, setting other objects at indexes, etc.) does not affect the receiver and vice versa.
clone() - Method in class cern.colt.list.ShortArrayList
Returns a deep copy of the receiver.
clone() - Method in class cern.colt.map.OpenDoubleIntHashMap
Returns a deep copy of the receiver.
clone() - Method in class cern.colt.map.OpenIntDoubleHashMap
Returns a deep copy of the receiver.
clone() - Method in class cern.colt.map.OpenIntIntHashMap
Returns a deep copy of the receiver.
clone() - Method in class cern.colt.map.OpenIntObjectHashMap
Returns a deep copy of the receiver.
clone() - Method in class cern.colt.map.OpenLongObjectHashMap
Returns a deep copy of the receiver.
clone() - Method in class cern.colt.matrix.linalg.Algebra
Returns a copy of the receiver.
clone() - Method in class cern.colt.PersistentObject
Returns a copy of the receiver.
clone() - Method in class cern.hep.aida.bin.DynamicBin1D
Returns a deep copy of the receiver.
clone() - Method in class cern.hep.aida.bin.MightyStaticBin1D
Returns a deep copy of the receiver.
clone() - Method in class cern.hep.aida.bin.QuantileBin1D
Returns a deep copy of the receiver.
clone() - Method in class cern.jet.random.AbstractDistribution
Returns a deep copy of the receiver; the copy will produce identical sequences.
clone() - Method in class cern.jet.random.BreitWignerMeanSquare
Returns a deep copy of the receiver; the copy will produce identical sequences.
clone() - Method in class cern.jet.random.Empirical
Returns a deep copy of the receiver; the copy will produce identical sequences.
clone() - Method in class cern.jet.random.EmpiricalWalker
Returns a deep copy of the receiver; the copy will produce identical sequences.
clone() - Method in class cern.jet.random.engine.MersenneTwister
Returns a copy of the receiver; the copy will produce identical sequences.
clone() - Method in class cern.jet.random.NegativeBinomial
Returns a deep copy of the receiver; the copy will produce identical sequences.
clone() - Method in class cern.jet.random.Poisson
Returns a deep copy of the receiver; the copy will produce identical sequences.
clone() - Method in class cern.jet.random.sampling.RandomSampler
Returns a deep copy of the receiver.
clone() - Method in class cern.jet.random.sampling.RandomSamplingAssistant
Returns a deep copy of the receiver.
clone() - Method in class cern.jet.random.sampling.WeightedRandomSampler
Returns a deep copy of the receiver.
clone() - Method in interface cern.jet.stat.quantile.DoubleQuantileFinder
Returns a deep copy of the receiver.
clone() - Method in class flanagan.analysis.ErrorProp
 
clone() - Method in class flanagan.math.Matrix
 
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
 
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 investgate 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) Note: a memory leak is found - no time to investgate it.
close() - Method in class jhplot.HPlot3D
Same as distroy
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
 
cm - Static variable in class cern.clhep.Units
 
cm2 - Static variable in class cern.clhep.Units
 
cm3 - Static variable in class cern.clhep.Units
 
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
 
coefficientOfVariation(double[]) - Static method in class flanagan.analysis.Stat
 
coefficientOfVariation(float[]) - Static method in class flanagan.analysis.Stat
 
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
 
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 cern.colt.bitvector.BitMatrix
Returns the number of columns of the receiver.
columns() - Method in class cern.colt.matrix.impl.AbstractMatrix2D
Returns the number of columns.
columns() - Method in class cern.colt.matrix.impl.AbstractMatrix3D
Returns the number of columns.
COLUMNS - Static variable in class cern.jet.random.engine.RandomSeedTable
The number of columns of the matrix (currently COLUMNS = 2).
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
 
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
compare(byte, byte) - Method in interface cern.colt.function.ByteComparator
Compares its two arguments for order.
compare(char, char) - Method in interface cern.colt.function.CharComparator
Compares its two arguments for order.
compare(double, double) - Method in interface cern.colt.function.DoubleComparator
Compares its two arguments for order.
compare(float, float) - Method in interface cern.colt.function.FloatComparator
Compares its two arguments for order.
compare(int, int) - Method in interface cern.colt.function.IntComparator
Compares its two arguments for order.
compare(long, long) - Method in interface cern.colt.function.LongComparator
Compares its two arguments for order.
compare(short, short) - Method in interface cern.colt.function.ShortComparator
Compares its two arguments for order.
compare(DoubleMatrix1D, DoubleMatrix1D) - Method in interface cern.colt.matrix.doublealgo.DoubleMatrix1DComparator
Compares its two arguments for order.
compare(DoubleMatrix2D, DoubleMatrix2D) - Method in interface cern.colt.matrix.doublealgo.DoubleMatrix2DComparator
Compares its two arguments for order.
compare(ObjectMatrix1D, ObjectMatrix1D) - Method in interface cern.colt.matrix.objectalgo.ObjectMatrix1DComparator
Compares its two arguments for order.
compare(ObjectMatrix2D, ObjectMatrix2D) - Method in interface cern.colt.matrix.objectalgo.ObjectMatrix2DComparator
Compares its two arguments for order.
compare - Static variable in class cern.jet.math.Functions
Function that returns a < b ? -1 : a > b ? 1 : 0.
compare(double) - Static method in class cern.jet.math.Functions
Constructs a function that returns a < b ? -1 : a > b ? 1 : 0.
compare - Static variable in class cern.jet.math.IntFunctions
Function that returns a < b ? -1 : a > b ? 1 : 0.
compare(int) - Static method in class cern.jet.math.IntFunctions
Constructs a function that returns a < b ? -1 : a > b ? 1 : 0.
compare(double, double) - Static method in class flanagan.math.Fmath
 
compare(int, int) - Static method in class flanagan.math.Fmath
 
compare(long, long) - Static method in class flanagan.math.Fmath
 
compare(float, float) - Static method in class flanagan.math.Fmath
 
compare(byte, byte) - Static method in class flanagan.math.Fmath
 
compare(short, short) - Static method in class flanagan.math.Fmath
 
compareTo(Object) - Method in class org.apache.commons.math.fraction.Fraction
Compares this object to another based on size.
compareWith(AbstractBin1D) - Method in class cern.hep.aida.bin.AbstractBin1D
Computes the deviations from the receiver's measures to another bin's measures.
compareWith(AbstractBin1D) - Method in class cern.hep.aida.bin.MightyStaticBin1D
Computes the deviations from the receiver's measures to another bin's measures.
compareWith(AbstractBin1D) - Method in class cern.hep.aida.bin.QuantileBin1D
Computes the deviations from the receiver's measures to another bin's measures.
complementaryRegularisedGammaFunction(double, double) - Static method in class flanagan.analysis.Stat
 
complementaryRegularizedGammaFunction(double, double) - Static method in class flanagan.analysis.Stat
 
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.
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-valued 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
 
compose(DoubleMatrix2D[][]) - Method in class cern.colt.matrix.DoubleFactory2D
Constructs a block matrix made from the given parts.
compose(ObjectMatrix2D[][]) - Method in class cern.colt.matrix.ObjectFactory2D
Constructs a block matrix made from the given parts.
composeDiagonal(DoubleMatrix2D, DoubleMatrix2D) - Method in class cern.colt.matrix.DoubleFactory2D
Constructs a diagonal block matrix from the given parts (the direct sum of two matrices).
composeDiagonal(DoubleMatrix2D, DoubleMatrix2D, DoubleMatrix2D) - Method in class cern.colt.matrix.DoubleFactory2D
Constructs a diagonal block matrix from the given parts.
composeDiagonal(ObjectMatrix2D, ObjectMatrix2D) - Method in class cern.colt.matrix.ObjectFactory2D
Constructs a diagonal block matrix from the given parts (the direct sum of two matrices).
composeDiagonal(ObjectMatrix2D, ObjectMatrix2D, ObjectMatrix2D) - Method in class cern.colt.matrix.ObjectFactory2D
Constructs a diagonal block matrix from the given parts.
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.
concatenate(double[], double[]) - Static method in class flanagan.math.Fmath
 
concatenate(float[], float[]) - Static method in class flanagan.math.Fmath
 
concatenate(int[], int[]) - Static method in class flanagan.math.Fmath
 
concatenate(long[], long[]) - Static method in class flanagan.math.Fmath
 
cond(DoubleMatrix2D) - Method in class cern.colt.matrix.linalg.Algebra
Returns the condition of matrix A, which is the ratio of largest to smallest singular value.
cond() - Method in class cern.colt.matrix.linalg.SingularValueDecomposition
Returns the two norm condition number, which is max(S) / min(S).
conjugate() - Method in class org.apache.commons.math.complex.Complex
Return the conjugate of this complex number.
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(double) - Static method in class cern.jet.math.Functions
Constructs a function that returns the constant c.
constant(int) - Static method in class cern.jet.math.IntFunctions
Constructs a function that returns the constant c.
CONSTANT_MODE - Static variable in class org.apache.commons.math.random.ValueServer
Always return mu
Constants - Class in cern.jet.math
Defines some useful constants.
constraints() - Method in class hep.aida.ref.fitter.FitResult
 
constraints() - Method in class hep.aida.ref.fitter.Fitter
 
contains(boolean) - Method in class cern.colt.list.AbstractBooleanList
Returns true if the receiver contains the specified element.
contains(byte) - Method in class cern.colt.list.AbstractByteList
Returns true if the receiver contains the specified element.
contains(char) - Method in class cern.colt.list.AbstractCharList
Returns true if the receiver contains the specified element.
contains(double) - Method in class cern.colt.list.AbstractDoubleList
Returns true if the receiver contains the specified element.
contains(float) - Method in class cern.colt.list.AbstractFloatList
Returns true if the receiver contains the specified element.
contains(int) - Method in class cern.colt.list.AbstractIntList
Returns true if the receiver contains the specified element.
contains(long) - Method in class cern.colt.list.AbstractLongList
Returns true if the receiver contains the specified element.
contains(short) - Method in class cern.colt.list.AbstractShortList
Returns true if the receiver contains the specified element.
contains(Object, boolean) - Method in class cern.colt.list.ObjectArrayList
Returns true if the receiver contains the specified element.
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(double) - Method in class cern.colt.map.AbstractDoubleIntMap
Returns true if the receiver contains the specified key.
containsKey(int) - Method in class cern.colt.map.AbstractIntDoubleMap
Returns true if the receiver contains the specified key.
containsKey(int) - Method in class cern.colt.map.AbstractIntIntMap
Returns true if the receiver contains the specified key.
containsKey(int) - Method in class cern.colt.map.AbstractIntObjectMap
Returns true if the receiver contains the specified key.
containsKey(long) - Method in class cern.colt.map.AbstractLongObjectMap
Returns true if the receiver contains the specified key.
containsKey(double) - Method in class cern.colt.map.OpenDoubleIntHashMap
Returns true if the receiver contains the specified key.
containsKey(int) - Method in class cern.colt.map.OpenIntDoubleHashMap
Returns true if the receiver contains the specified key.
containsKey(int) - Method in class cern.colt.map.OpenIntIntHashMap
Returns true if the receiver contains the specified key.
containsKey(int) - Method in class cern.colt.map.OpenIntObjectHashMap
Returns true if the receiver contains the specified key.
containsKey(long) - Method in class cern.colt.map.OpenLongObjectHashMap
Returns true if the receiver contains the specified key.
containsTransformer(NumberTransformer) - Method in class org.apache.commons.math.util.TransformerMap
Tests if a NumberTransformer is present in the TransformerMap.
containsValue(int) - Method in class cern.colt.map.AbstractDoubleIntMap
Returns true if the receiver contains the specified value.
containsValue(double) - Method in class cern.colt.map.AbstractIntDoubleMap
Returns true if the receiver contains the specified value.
containsValue(int) - Method in class cern.colt.map.AbstractIntIntMap
Returns true if the receiver contains the specified value.
containsValue(Object) - Method in class cern.colt.map.AbstractIntObjectMap
Returns true if the receiver contains the specified value.
containsValue(Object) - Method in class cern.colt.map.AbstractLongObjectMap
Returns true if the receiver contains the specified value.
containsValue(int) - Method in class cern.colt.map.OpenDoubleIntHashMap
Returns true if the receiver contains the specified value.
containsValue(double) - Method in class cern.colt.map.OpenIntDoubleHashMap
Returns true if the receiver contains the specified value.
containsValue(int) - Method in class cern.colt.map.OpenIntIntHashMap
Returns true if the receiver contains the specified value.
containsValue(Object) - Method in class cern.colt.map.OpenIntObjectHashMap
Returns true if the receiver contains the specified value.
containsValue(Object) - Method in class cern.colt.map.OpenLongObjectHashMap
Returns true if the receiver contains the specified value.
contFract(double, double, double) - Static method in class flanagan.analysis.Stat
 
ContinuedFraction - Class in org.apache.commons.math.util
Provides a generic means to evaluate continued fractions.
ContinuousDistribution - Interface in org.apache.commons.math.distribution
Base interface for continuous distributions.
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.
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) - Constructor for exception org.apache.commons.math.ConvergenceException
Construct an exception with the given message.
ConvergenceException(String, Throwable) - Constructor for exception org.apache.commons.math.ConvergenceException
Construct an exception with the given message and root cause.
ConvergenceException(Throwable) - Constructor for exception org.apache.commons.math.ConvergenceException
Create an exception with a given root cause.
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
 
Converter - Class in cern.hep.aida.ref
Histogram conversions, for example to String and XML format; This class requires the Colt distribution, whereas the rest of the package is entirelly stand-alone.
Converter() - Constructor for class cern.hep.aida.ref.Converter
Creates a new histogram converter.
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 cern.hep.aida.ref.FixedAxis
 
coordToIndex(double) - Method in class cern.hep.aida.ref.VariableAxis
 
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 cern.colt.bitvector.BitMatrix
Returns a shallow clone of the receiver; calls clone() and casts the result.
copy() - Method in class cern.colt.bitvector.BitVector
Returns a deep copy of the receiver; calls clone() and casts the result.
copy() - Method in class cern.colt.list.BooleanArrayList
Returns a deep copy of the receiver; uses clone() and casts the result.
copy() - Method in class cern.colt.list.ByteArrayList
Returns a deep copy of the receiver; uses clone() and casts the result.
copy() - Method in class cern.colt.list.CharArrayList
Returns a deep copy of the receiver; uses clone() and casts the result.
copy() - Method in class cern.colt.list.DoubleArrayList
Returns a deep copy of the receiver; uses clone() and casts the result.
copy() - Method in class cern.colt.list.FloatArrayList
Returns a deep copy of the receiver; uses clone() and casts the result.
copy() - Method in class cern.colt.list.IntArrayList
Returns a deep copy of the receiver; uses clone() and casts the result.
copy() - Method in class cern.colt.list.LongArrayList
Returns a deep copy of the receiver; uses clone() and casts the result.
copy() - Method in class cern.colt.list.ObjectArrayList
Returns a copy of the receiver; call clone() and casts the result.
copy() - Method in class cern.colt.list.ShortArrayList
Returns a deep copy of the receiver; uses clone() and casts the result.
copy() - Method in class cern.colt.map.AbstractDoubleIntMap
Returns a deep copy of the receiver; uses clone() and casts the result.
copy() - Method in class cern.colt.map.AbstractIntDoubleMap
Returns a deep copy of the receiver; uses clone() and casts the result.
copy() - Method in class cern.colt.map.AbstractIntIntMap
Returns a deep copy of the receiver; uses clone() and casts the result.
copy() - Method in class cern.colt.map.AbstractIntObjectMap
Returns a deep copy of the receiver; uses clone() and casts the result.
copy() - Method in class cern.colt.map.AbstractLongObjectMap
Returns a deep copy of the receiver; uses clone() and casts the result.
copy() - Method in class cern.colt.matrix.DoubleMatrix1D
Constructs and returns a deep copy of the receiver.
copy() - Method in class cern.colt.matrix.DoubleMatrix2D
Constructs and returns a deep copy of the receiver.
copy() - Method in class cern.colt.matrix.DoubleMatrix3D
Constructs and returns a deep copy of the receiver.
copy() - Method in class cern.colt.matrix.ObjectMatrix1D
Constructs and returns a deep copy of the receiver.
copy() - Method in class cern.colt.matrix.ObjectMatrix2D
Constructs and returns a deep copy of the receiver.
copy() - Method in class cern.colt.matrix.ObjectMatrix3D
Constructs and returns a deep copy of the receiver.
copy(ErrorProp) - Static method in class flanagan.analysis.ErrorProp
 
copy() - Method in class flanagan.analysis.ErrorProp
 
copy(ErrorProp[]) - Static method in class flanagan.analysis.ErrorProp
 
copy(ErrorProp[][]) - Static method in class flanagan.analysis.ErrorProp
 
copy(Matrix) - Static method in class flanagan.math.Matrix
 
copy() - Method in class flanagan.math.Matrix
 
copy() - Method in interface org.apache.commons.math.linear.BigMatrix
Returns a (deep) copy of this.
copy() - Method in class org.apache.commons.math.linear.BigMatrixImpl
Create a new BigMatrix which is a copy of this.
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
Create a new RealMatrix which is a copy of this.
core() - Method in class hep.aida.ref.function.BaseModelFunction
 
coreChanged() - Method in interface hep.aida.ref.function.FunctionCoreListener
 
corejava - package corejava
C-like number formatting that follows printf conventions.
corrCoeff(double[], double[]) - Static method in class flanagan.analysis.Stat
 
corrCoeff(float[], float[]) - Static method in class flanagan.analysis.Stat
 
corrCoeff(int[], int[]) - Static method in class flanagan.analysis.Stat
 
corrCoeff(double[], double[], double[]) - Static method in class flanagan.analysis.Stat
 
corrCoeff(int, int, int, int) - Static method in class flanagan.analysis.Stat
 
corrCoeff(int[][]) - Static method in class flanagan.analysis.Stat
 
corrCoeffPDF(double, int) - Static method in class flanagan.analysis.Stat
 
corrCoeffPdf(double, int) - Static method in class flanagan.analysis.Stat
 
corrCoeffProb(double, int) - Static method in class flanagan.analysis.Stat
 
correlate(double[]) - Method in class flanagan.math.FourierTransform
 
correlate(double[], double[]) - Method in class flanagan.math.FourierTransform
 
correlatedGaussianArrays(double, double, double, double, double, int) - Method in class flanagan.math.PsRandom
 
correlation(DoubleMatrix2D) - Static method in class cern.colt.matrix.doublealgo.Statistic
Modifies the given covariance matrix to be a correlation matrix (in-place).
correlation(DynamicBin1D) - Method in class cern.hep.aida.bin.DynamicBin1D
Returns the correlation of two bins, which is corr(x,y) = covariance(x,y) / (stdDev(x)*stdDev(y)) (Pearson's correlation coefficient).
correlation(DoubleArrayList, double, DoubleArrayList, double) - Static method in class cern.jet.stat.Descriptive
Returns the correlation of two data sequences.
correlationObject() - Method in class hep.aida.ref.fitter.fitmethod.AbstractFitMethod
 
cos - Static variable in class cern.jet.math.Functions
Function that returns Math.cos(a).
cos(ErrorProp) - Static method in class flanagan.analysis.ErrorProp
 
cos(double, double, double, double, double, double) - Static method in class flanagan.math.Fmath
 
cos(double, double, double) - Static method in class flanagan.math.Fmath
 
cos(double) - Static method in class flanagan.math.Fmath
 
cos(Complex) - Static method in class org.apache.commons.math.complex.ComplexUtils
Compute the cosine for the given complex argument.
cosh(ErrorProp) - Static method in class flanagan.analysis.ErrorProp
 
cosh(double) - Static method in class flanagan.math.Fmath
 
cosh(Complex) - Static method in class org.apache.commons.math.complex.ComplexUtils
Compute the hyperbolic cosine for the given complex argument.
cosh(double) - Static method in class org.apache.commons.math.util.MathUtils
Returns the hyperbolic cosine of x.
cot(double) - Static method in class flanagan.math.Fmath
 
coth(double) - Static method in class flanagan.math.Fmath
 
coulomb - Static variable in class cern.clhep.Units
 
countSortFromTo(int, int) - Method in class cern.colt.list.BooleanArrayList
Sorts the specified range of the receiver into ascending numerical order (false < true).
countSortFromTo(int, int) - Method in class cern.colt.list.ByteArrayList
Sorts the specified range of the receiver into ascending numerical order.
covariance(DoubleMatrix2D) - Static method in class cern.colt.matrix.doublealgo.Statistic
Constructs and returns the covariance matrix of the given matrix.
covariance(DynamicBin1D) - Method in class cern.hep.aida.bin.DynamicBin1D
Returns the covariance of two bins, which is cov(x,y) = (1/size()) * Sum((x[i]-mean(x)) * (y[i]-mean(y))).
covariance(DoubleArrayList, DoubleArrayList) - Static method in class cern.jet.stat.Descriptive
Returns the covariance of two data sequences, which is cov(x,y) = (1/(size()-1)) * Sum((x[i]-mean(x)) * (y[i]-mean(y))).
covariance(double[], double[]) - Static method in class flanagan.analysis.Stat
 
covariance(float[], float[]) - Static method in class flanagan.analysis.Stat
 
covariance(int[], int[]) - Static method in class flanagan.analysis.Stat
 
covariance(long[], long[]) - Static method in class flanagan.analysis.Stat
 
covariance(double[], double[], double[]) - Static method in class flanagan.analysis.Stat
 
covers(double) - Static method in class flanagan.math.Fmath
 
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(String) - Method in class cern.colt.matrix.impl.FormerFactory
Constructs and returns a new format instance.
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.
createBigIdentityMatrix(int) - Static method in class org.apache.commons.math.linear.MatrixUtils
Returns dimension x dimension identity matrix.
createBigMatrix(double[][]) - Static method in class org.apache.commons.math.linear.MatrixUtils
Returns a BigMatrix whose entries are the the values in the the input array.
createBigMatrix(BigDecimal[][]) - Static method in class org.apache.commons.math.linear.MatrixUtils
Returns a BigMatrix whose entries are the the values in the the input array.
createBigMatrix(String[][]) - Static method in class org.apache.commons.math.linear.MatrixUtils
Returns a BigMatrix whose entries are the the values in the the input array.
createBinomialDistribution(int, double) - Method in class org.apache.commons.math.distribution.DistributionFactory
Create a binomial distribution with the given number of trials and probability of success.
createBinomialDistribution(int, double) - Method in class org.apache.commons.math.distribution.DistributionFactoryImpl
Create a binomial distribution with the given number of trials and probability of success.
createCauchyDistribution(double, double) - Method in class org.apache.commons.math.distribution.DistributionFactory
Create a new cauchy distribution with the given median and scale.
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
 
createChiSquareDistribution(double) - Method in class org.apache.commons.math.distribution.DistributionFactory
Create a new chi-square distribution with the given degrees of freedom.
createChiSquareDistribution(double) - Method in class org.apache.commons.math.distribution.DistributionFactoryImpl
Create a new chi-square distribution with the given degrees of freedom.
createChiSquareTest() - Method in class org.apache.commons.math.stat.inference.TestFactory
Create a ChiSquareTest instance.
createChiSquareTest() - Method in class org.apache.commons.math.stat.inference.TestFactoryImpl
Create a ChiSquareTest instance.
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
Creates a column BigMatrix using the data from the input array.
createColumnBigMatrix(BigDecimal[]) - Static method in class org.apache.commons.math.linear.MatrixUtils
Creates a column BigMatrix using the data from the input array.
createColumnBigMatrix(String[]) - Static method in class org.apache.commons.math.linear.MatrixUtils
Creates a column BigMatrix 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.
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
 
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
 
createEvaluator(String) - Method in class hep.aida.ref.tuple.TupleFactory
Create IEvaluator.
createExponentialDistribution(double) - Method in class org.apache.commons.math.distribution.DistributionFactory
Create a new exponential distribution with the given degrees of freedom.
createExponentialDistribution(double) - Method in class org.apache.commons.math.distribution.DistributionFactoryImpl
Create a new exponential distribution with the given degrees of freedom.
createFDistribution(double, double) - Method in class org.apache.commons.math.distribution.DistributionFactory
Create a new F-distribution with the given degrees of freedom.
createFDistribution(double, double) - Method in class org.apache.commons.math.distribution.DistributionFactoryImpl
Create a new F-distribution with the given degrees of freedom.
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.
createGammaDistribution(double, double) - Method in class org.apache.commons.math.distribution.DistributionFactory
Create a new gamma distribution with the given shape and scale parameters.
createGammaDistribution(double, double) - Method in class org.apache.commons.math.distribution.DistributionFactoryImpl
Create a new gamma distribution the given shape and scale parameters.
createGenericFactory(String, String) - Method in class hep.aida.ref.BatchAnalysisFactory
 
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
 
createHypergeometricDistribution(int, int, int) - Method in class org.apache.commons.math.distribution.DistributionFactory
Create a new hypergeometric distribution with the given the population size, the number of successes in the population, and the sample size.
createHypergeometricDistribution(int, int, int) - Method in class org.apache.commons.math.distribution.DistributionFactoryImpl
Create a new hypergeometric distribution with the given the population size, the number of successes in the population, and the sample size.
createJELFunctionCore(int, String, String, String) - Method in class hep.aida.ref.function.JELBaseModelFunction
 
createManagedObjectGenericFactory(String, ITree, String) - Method in class hep.aida.ref.BatchAnalysisFactory
 
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
 
createNormalDistribution(double, double) - Method in class org.apache.commons.math.distribution.DistributionFactory
Create a new normal distribution with the given mean and standard deviation.
createNormalDistribution() - Method in class org.apache.commons.math.distribution.DistributionFactory
Create a new normal distribution with mean zero and standard deviation one.
createNormalDistribution(double, double) - Method in class org.apache.commons.math.distribution.DistributionFactoryImpl
Create a new normal distribution with the given mean and standard deviation.
createNormalDistribution() - Method in class org.apache.commons.math.distribution.DistributionFactoryImpl
Create a new normal distribution with the mean zero and standard deviation one.
createOptionsString(Map) - Static method in class hep.aida.ref.AidaUtils
 
createPlotterFactory() - Method in class hep.aida.ref.AnalysisFactory
 
createPlotterFactory(String) - Method in class hep.aida.ref.BatchAnalysisFactory
 
createPoissonDistribution(double) - Method in class org.apache.commons.math.distribution.DistributionFactory
Create a new Poisson distribution with poisson parameter lambda.
createPoissonDistribution(double) - Method in class org.apache.commons.math.distribution.DistributionFactoryImpl
Create a new Poisson distribution with poisson parameter lambda.
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
 
createRealIdentityMatrix(int) - Static method in class org.apache.commons.math.linear.MatrixUtils
Returns dimension x dimension identity matrix.
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.
createRowBigMatrix(double[]) - Static method in class org.apache.commons.math.linear.MatrixUtils
Creates a row BigMatrix using the data from the input array.
createRowBigMatrix(BigDecimal[]) - Static method in class org.apache.commons.math.linear.MatrixUtils
Creates a row BigMatrix using the data from the input array.
createRowBigMatrix(String[]) - Static method in class org.apache.commons.math.linear.MatrixUtils
Creates a row BigMatrix 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
 
createTDistribution(double) - Method in class org.apache.commons.math.distribution.DistributionFactory
Create a new t distribution with the given degrees of freedom.
createTDistribution(double) - Method in class org.apache.commons.math.distribution.DistributionFactoryImpl
Create a new t distribution with the given degrees of freedom.
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
 
createTTest() - Method in class org.apache.commons.math.stat.inference.TestFactory
Create a TTest instance.
createTTest() - Method in class org.apache.commons.math.stat.inference.TestFactoryImpl
Create a TTest instance.
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
 
createWeibullDistribution(double, double) - Method in class org.apache.commons.math.distribution.DistributionFactory
Create a new Weibull distribution with the given shape and scale parameters.
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
 
csc(double) - Static method in class flanagan.math.Fmath
 
csch(double) - Static method in class flanagan.math.Fmath
 
cube(DoubleMatrix1D, DoubleMatrix1D, DoubleMatrix1D) - Static method in class cern.colt.matrix.doublealgo.Statistic
2-d OLAP cube operator; Fills all cells of the given vectors into the given histogram.
cube(DoubleMatrix1D, DoubleMatrix1D, DoubleMatrix1D, DoubleMatrix1D) - Static method in class cern.colt.matrix.doublealgo.Statistic
3-d OLAP cube operator; Fills all cells of the given vectors into the given histogram.
CubicSpline - Class in flanagan.interpolation
 
CubicSpline(double[], double[]) - Constructor for class flanagan.interpolation.CubicSpline
 
CubicSpline(int) - Constructor for class flanagan.interpolation.CubicSpline
 
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(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(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 disbution, X, this method returns P(X < x).
cumulativeProbability(double) - Method in class org.apache.commons.math.distribution.ChiSquaredDistributionImpl
For this disbution, 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 disbution, X, this method returns P(X < x).
cumulativeProbability(double) - Method in class org.apache.commons.math.distribution.FDistributionImpl
For this disbution, X, this method returns P(X < x).
cumulativeProbability(double) - Method in class org.apache.commons.math.distribution.GammaDistributionImpl
For this disbution, X, this method returns P(X < x).
cumulativeProbability(int) - Method in class org.apache.commons.math.distribution.HypergeometricDistributionImpl
For this disbution, 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 disbution, 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 disbution, X, this method returns P(X < x).
cumulativeProbability(double) - Method in class org.apache.commons.math.distribution.WeibullDistributionImpl
For this disbution, X, this method returns P(X < x).
cupUStoPintUK(double) - Static method in class flanagan.math.Fmath
 
curie - Static variable in class cern.clhep.Units
 
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
 

D

dasum(DoubleMatrix1D) - Method in interface cern.colt.matrix.linalg.Blas
Returns the sum of absolute values; |x[0]| + |x[1]| + ...
dasum(DoubleMatrix1D) - Method in class cern.colt.matrix.linalg.SeqBlas
 
dasum(DoubleMatrix1D) - Method in class cern.colt.matrix.linalg.SmpBlas
 
dataDescription() - Method in class hep.aida.ref.fitter.fitdata.FitData
 
dataDescription() - Method in class hep.aida.ref.fitter.FitResult
 
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
 
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
 
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.
dateToJavaMilliS(int, int, int, int, int, int) - Static method in class flanagan.math.Fmath
 
daxpy(double, DoubleMatrix1D, DoubleMatrix1D) - Method in interface cern.colt.matrix.linalg.Blas
Combined vector scaling; y = y + alpha*x.
daxpy(double, DoubleMatrix2D, DoubleMatrix2D) - Method in interface cern.colt.matrix.linalg.Blas
Combined matrix scaling; B = B + alpha*A.
daxpy(double, DoubleMatrix1D, DoubleMatrix1D) - Method in class cern.colt.matrix.linalg.SeqBlas
 
daxpy(double, DoubleMatrix2D, DoubleMatrix2D) - Method in class cern.colt.matrix.linalg.SeqBlas
 
daxpy(double, DoubleMatrix1D, DoubleMatrix1D) - Method in class cern.colt.matrix.linalg.SmpBlas
 
daxpy(double, DoubleMatrix2D, DoubleMatrix2D) - Method in class cern.colt.matrix.linalg.SmpBlas
 
dcopy(DoubleMatrix1D, DoubleMatrix1D) - Method in interface cern.colt.matrix.linalg.Blas
Vector assignment (copying); y = x.
dcopy(DoubleMatrix2D, DoubleMatrix2D) - Method in interface cern.colt.matrix.linalg.Blas
Matrix assignment (copying); B = A.
dcopy(DoubleMatrix1D, DoubleMatrix1D) - Method in class cern.colt.matrix.linalg.SeqBlas
 
dcopy(DoubleMatrix2D, DoubleMatrix2D) - Method in class cern.colt.matrix.linalg.SeqBlas
 
dcopy(DoubleMatrix1D, DoubleMatrix1D) - Method in class cern.colt.matrix.linalg.SmpBlas
 
dcopy(DoubleMatrix2D, DoubleMatrix2D) - Method in class cern.colt.matrix.linalg.SmpBlas
 
ddot(DoubleMatrix1D, DoubleMatrix1D) - Method in interface cern.colt.matrix.linalg.Blas
Returns the dot product of two vectors x and y, which is Sum(x[i]*y[i]).
ddot(DoubleMatrix1D, DoubleMatrix1D) - Method in class cern.colt.matrix.linalg.SeqBlas
 
ddot(DoubleMatrix1D, DoubleMatrix1D) - Method in class cern.colt.matrix.linalg.SmpBlas
 
dec - Static variable in class cern.jet.math.IntFunctions
Function that returns a--.
DECIMAL - Static variable in class cern.colt.matrix.impl.AbstractFormatter
The alignment string aligning the cells of a column to the decimal point.
decompose(DoubleMatrix2D[][], DoubleMatrix2D) - Method in class cern.colt.matrix.DoubleFactory2D
Splits a block matrix into its constituent blocks; Copies blocks of a matrix into the given parts.
decompose(DoubleMatrix2D) - Method in class cern.colt.matrix.linalg.LUDecompositionQuick
Decomposes matrix A into L and U (in-place).
decompose(DoubleMatrix2D, int) - Method in class cern.colt.matrix.linalg.LUDecompositionQuick
Decomposes the banded and square matrix A into L and U (in-place).
decompose(ObjectMatrix2D[][], ObjectMatrix2D) - Method in class cern.colt.matrix.ObjectFactory2D
Splits a block matrix into its constituent blocks; Copies blocks of a matrix into the given parts.
DEFAULT - Static variable in class cern.colt.matrix.linalg.Algebra
A default Algebra object; has Property.DEFAULT attached for tolerance.
DEFAULT - Static variable in class cern.colt.matrix.linalg.Property
The default Property object; currently has tolerance()==1.0E-9.
DEFAULT_COLUMN_SEPARATOR - Static variable in class cern.colt.matrix.impl.AbstractFormatter
The default string separating any two columns from another; currently " ".
DEFAULT_MIN_COLUMN_WIDTH - Static variable in class cern.colt.matrix.impl.AbstractFormatter
The default minimum number of characters a column may have; currently 1.
DEFAULT_ROW_SEPARATOR - Static variable in class cern.colt.matrix.impl.AbstractFormatter
The default string separating any two rows from another; currently "\n".
DEFAULT_SEED - Static variable in class cern.jet.random.engine.DRand
 
DEFAULT_SEED - Static variable in class cern.jet.random.engine.MersenneTwister
 
DEFAULT_SLICE_SEPARATOR - Static variable in class cern.colt.matrix.impl.AbstractFormatter
The default string separating any two slices from another; currently "\n\n".
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.
defaultFunctions() - Method in class hep.aida.ref.function.FunctionCatalog
 
defaultNames - Static variable in class hep.aida.ref.function.FunctionCatalog
 
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
deg - Static variable in class cern.clhep.Units
 
degree - Static variable in class cern.clhep.Units
 
degree() - Method in class org.apache.commons.math.analysis.PolynomialFunction
Returns the degree of the polynomial
degToRad(double) - Static method in class flanagan.math.Fmath
 
delete(boolean) - Method in class cern.colt.list.AbstractBooleanList
Deletes the first element from the receiver that is identical to the specified element.
delete(byte) - Method in class cern.colt.list.AbstractByteList
Deletes the first element from the receiver that is identical to the specified element.
delete(char) - Method in class cern.colt.list.AbstractCharList
Deletes the first element from the receiver that is identical to the specified element.
delete(double) - Method in class cern.colt.list.AbstractDoubleList
Deletes the first element from the receiver that is identical to the specified element.
delete(float) - Method in class cern.colt.list.AbstractFloatList
Deletes the first element from the receiver that is identical to the specified element.
delete(int) - Method in class cern.colt.list.AbstractIntList
Deletes the first element from the receiver that is identical to the specified element.
delete(long) - Method in class cern.colt.list.AbstractLongList
Deletes the first element from the receiver that is identical to the specified element.
delete(short) - Method in class cern.colt.list.AbstractShortList
Deletes the first element from the receiver that is identical to the specified element.
delete(Object, boolean) - Method in class cern.colt.list.ObjectArrayList
Deletes the first element from the receiver that matches the specified element.
deleteObserver(Observer) - Method in class hep.aida.ref.event.ObserverAdapter
 
deleteObservers() - Method in class hep.aida.ref.event.ObserverAdapter
 
demo1() - Static method in class cern.colt.matrix.doublealgo.Formatter
Demonstrates how to use this class.
demo1() - Static method in class cern.colt.matrix.doublealgo.Statistic
Demonstrates usage of this class.
demo1() - Method in class cern.colt.matrix.DoubleFactory2D
Demonstrates usage of this class.
demo1() - Static method in class cern.colt.matrix.impl.AbstractFormatter
Demonstrates how to use this class.
demo1() - Static method in class cern.jet.math.Functions
Demonstrates usage of this class.
demo1() - Static method in class cern.jet.random.Benchmark
Prints the first size random numbers generated by the distribution.
demo2() - Static method in class cern.colt.matrix.doublealgo.Formatter
Demonstrates how to use this class.
demo2(int, int, boolean) - Static method in class cern.colt.matrix.doublealgo.Statistic
Demonstrates usage of this class.
demo2() - Method in class cern.colt.matrix.DoubleFactory2D
Demonstrates usage of this class.
demo2() - Static method in class cern.colt.matrix.impl.AbstractFormatter
Demonstrates how to use this class.
demo2(int) - Static method in class cern.jet.math.Functions
Benchmarks and demonstrates usage of trivial and complex functions.
demo3(int, double) - Static method in class cern.colt.matrix.doublealgo.Formatter
Demonstrates how to use this class.
demo3(Statistic.VectorVectorFunction) - Static method in class cern.colt.matrix.doublealgo.Statistic
Demonstrates usage of this class.
demo3(int, Object) - Static method in class cern.colt.matrix.impl.AbstractFormatter
Demonstrates how to use this class.
demo4() - Static method in class cern.colt.matrix.doublealgo.Formatter
Demonstrates how to use this class.
demo5() - Static method in class cern.colt.matrix.doublealgo.Formatter
Demonstrates how to use this class.
demo6() - Static method in class cern.colt.matrix.doublealgo.Formatter
Demonstrates how to use this class.
demo7() - Static method in class cern.colt.matrix.doublealgo.Formatter
Demonstrates how to use this class.
dense - Static variable in class cern.colt.matrix.DoubleFactory1D
A factory producing dense matrices.
dense - Static variable in class cern.colt.matrix.DoubleFactory2D
A factory producing dense matrices.
dense - Static variable in class cern.colt.matrix.DoubleFactory3D
A factory producing dense matrices.
dense - Static variable in class cern.colt.matrix.ObjectFactory1D
A factory producing dense matrices.
dense - Static variable in class cern.colt.matrix.ObjectFactory2D
A factory producing dense matrices.
dense - Static variable in class cern.colt.matrix.ObjectFactory3D
A factory producing dense matrices.
DenseDoubleMatrix1D - Class in cern.colt.matrix.impl
Dense 1-d matrix (aka vector) holding double elements.
DenseDoubleMatrix1D(double[]) - Constructor for class cern.colt.matrix.impl.DenseDoubleMatrix1D
Constructs a matrix with a copy of the given values.
DenseDoubleMatrix1D(int) - Constructor for class cern.colt.matrix.impl.DenseDoubleMatrix1D
Constructs a matrix with a given number of cells.
DenseDoubleMatrix2D - Class in cern.colt.matrix.impl
Dense 2-d matrix holding double elements.
DenseDoubleMatrix2D(double[][]) - Constructor for class cern.colt.matrix.impl.DenseDoubleMatrix2D
Constructs a matrix with a copy of the given values.
DenseDoubleMatrix2D(int, int) - Constructor for class cern.colt.matrix.impl.DenseDoubleMatrix2D
Constructs a matrix with a given number of rows and columns.
DenseDoubleMatrix3D - Class in cern.colt.matrix.impl
Dense 3-d matrix holding double elements.
DenseDoubleMatrix3D(double[][][]) - Constructor for class cern.colt.matrix.impl.DenseDoubleMatrix3D
Constructs a matrix with a copy of the given values.
DenseDoubleMatrix3D(int, int, int) - Constructor for class cern.colt.matrix.impl.DenseDoubleMatrix3D
Constructs a matrix with a given number of slices, rows and columns.
DenseObjectMatrix1D - Class in cern.colt.matrix.impl
Dense 1-d matrix (aka vector) holding Object elements.
DenseObjectMatrix1D(Object[]) - Constructor for class cern.colt.matrix.impl.DenseObjectMatrix1D
Constructs a matrix with a copy of the given values.
DenseObjectMatrix1D(int) - Constructor for class cern.colt.matrix.impl.DenseObjectMatrix1D
Constructs a matrix with a given number of cells.
DenseObjectMatrix2D - Class in cern.colt.matrix.impl
Dense 2-d matrix holding Object elements.
DenseObjectMatrix2D(Object[][]) - Constructor for class cern.colt.matrix.impl.DenseObjectMatrix2D
Constructs a matrix with a copy of the given values.
DenseObjectMatrix2D(int, int) - Constructor for class cern.colt.matrix.impl.DenseObjectMatrix2D
Constructs a matrix with a given number of rows and columns.
DenseObjectMatrix3D - Class in cern.colt.matrix.impl
Dense 3-d matrix holding Object elements.
DenseObjectMatrix3D(Object[][][]) - Constructor for class cern.colt.matrix.impl.DenseObjectMatrix3D
Constructs a matrix with a copy of the given values.
DenseObjectMatrix3D(int, int, int) - Constructor for class cern.colt.matrix.impl.DenseObjectMatrix3D
Constructs a matrix with a given number of slices, rows and columns.
density(DoubleMatrix2D) - Method in class cern.colt.matrix.linalg.Property
Returns the matrix's fraction of non-zero cells; A.cardinality() / A.size().
derivative() - Method in interface org.apache.commons.math.analysis.DifferentiableUnivariateRealFunction
Returns the derivative of the function
derivative() - Method in class org.apache.commons.math.analysis.PolynomialFunction
Returns the derivative as a UnivariateRealFunction
derivative() - Method in class org.apache.commons.math.analysis.PolynomialSplineFunction
Returns the derivative of the polynomial spline function as a UnivariateRealFunction
descending(int) - Method in class cern.colt.matrix.DoubleFactory1D
Constructs a matrix with cells having descending values.
descending(int, int) - Method in class cern.colt.matrix.DoubleFactory2D
Constructs a matrix with cells having descending values.
descending(int, int, int) - Method in class cern.colt.matrix.DoubleFactory3D
Constructs a matrix with cells having descending values.
description(int) - Method in class hep.aida.ref.dataset.DataStatistics
Get the description corresponding to a coordinate.
Descriptive - Class in cern.jet.stat
Basic descriptive statistics.
DescriptiveStatistics - Class in org.apache.commons.math.stat.descriptive
Abstract factory class for univariate statistical summaries.
DescriptiveStatistics() - Constructor for class org.apache.commons.math.stat.descriptive.DescriptiveStatistics
 
DescriptiveStatisticsImpl - Class in org.apache.commons.math.stat.descriptive
Default implementation of DescriptiveStatistics.
DescriptiveStatisticsImpl() - Constructor for class org.apache.commons.math.stat.descriptive.DescriptiveStatisticsImpl
Construct a DescriptiveStatisticsImpl with infinite window
DescriptiveStatisticsImpl(int) - Constructor for class org.apache.commons.math.stat.descriptive.DescriptiveStatisticsImpl
Construct a DescriptiveStatisticsImpl with finite window
destroy(IDataPointSet) - Method in class hep.aida.ref.histogram.DataPointSetFactory
 
destroy(IBaseHistogram) - Method in class hep.aida.ref.histogram.HistogramFactory
Destroy an IBaseHistogram ogject.
det(DoubleMatrix2D) - Method in class cern.colt.matrix.linalg.Algebra
Returns the determinant of matrix A.
det() - Method in class cern.colt.matrix.linalg.LUDecomposition
Returns the determinant, det(A).
det() - Method in class cern.colt.matrix.linalg.LUDecompositionQuick
Returns the determinant, det(A).
determinant() - Method in class flanagan.math.Matrix
 
determinant(Matrix) - Static method in class flanagan.math.Matrix
 
dgemm(boolean, boolean, double, DoubleMatrix2D, DoubleMatrix2D, double, DoubleMatrix2D) - Method in interface cern.colt.matrix.linalg.Blas
Generalized linear algebraic matrix-matrix multiply; C = alpha*A*B + beta*C.
dgemm(boolean, boolean, double, DoubleMatrix2D, DoubleMatrix2D, double, DoubleMatrix2D) - Method in class cern.colt.matrix.linalg.SeqBlas
 
dgemm(boolean, boolean, double, DoubleMatrix2D, DoubleMatrix2D, double, DoubleMatrix2D) - Method in class cern.colt.matrix.linalg.SmpBlas
 
dgemv(boolean, double, DoubleMatrix2D, DoubleMatrix1D, double, DoubleMatrix1D) - Method in interface cern.colt.matrix.linalg.Blas
Generalized linear algebraic matrix-vector multiply; y = alpha*A*x + beta*y.
dgemv(boolean, double, DoubleMatrix2D, DoubleMatrix1D, double, DoubleMatrix1D) - Method in class cern.colt.matrix.linalg.SeqBlas
 
dgemv(boolean, double, DoubleMatrix2D, DoubleMatrix1D, double, DoubleMatrix1D) - Method in class cern.colt.matrix.linalg.SmpBlas
 
dger(double, DoubleMatrix1D, DoubleMatrix1D, DoubleMatrix2D) - Method in interface cern.colt.matrix.linalg.Blas
Performs a rank 1 update; A = A + alpha*x*y'.
dger(double, DoubleMatrix1D, DoubleMatrix1D, DoubleMatrix2D) - Method in class cern.colt.matrix.linalg.SeqBlas
 
dger(double, DoubleMatrix1D, DoubleMatrix1D, DoubleMatrix2D) - Method in class cern.colt.matrix.linalg.SmpBlas
 
diagonal(DoubleMatrix1D) - Method in class cern.colt.matrix.DoubleFactory2D
Constructs a new diagonal matrix whose diagonal elements are the elements of vector.
diagonal(DoubleMatrix2D) - Method in class cern.colt.matrix.DoubleFactory2D
Constructs a new vector consisting of the diagonal elements of A.
diagonal(ObjectMatrix1D) - Method in class cern.colt.matrix.ObjectFactory2D
Constructs a new diagonal matrix whose diagonal elements are the elements of vector.
diagonal(ObjectMatrix2D) - Method in class cern.colt.matrix.ObjectFactory2D
Constructs a new vector consisting of the diagonal elements of A.
diagonalMatrix(int, double[]) - Static method in class flanagan.math.Matrix
 
DifferentiableUnivariateRealFunction - Interface in org.apache.commons.math.analysis
Extension of UnivariateRealFunction representing a differentiable univariate real function.
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.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
 
dimention() - Method in class jhplot.P1D
Returns the dimention of this P1D holder.
discardFrontElements(int) - Method in class org.apache.commons.math.util.ResizableDoubleArray
Discards the i initial elements of the array.
DiscreteDistribution - Interface in org.apache.commons.math.distribution
Base interface for discrete distributions.
display() - Method in class cern.colt.Timer
Prints the elapsed time on System.out
disposeMe() - Method in class jhplot.GHMargin
Dippose this canvas
distance(DoubleMatrix2D, Statistic.VectorVectorFunction) - Static method in class cern.colt.matrix.doublealgo.Statistic
Constructs and returns the distance matrix of the given matrix.
distance(DataPoint, DataPoint) - Static method in class jminhep.cluster.DataPoint
Returns the distance between two data points
distanceSqrt(DataPoint, DataPoint) - Static method in class jminhep.cluster.DataPoint
Returns the squared distance between two data points
DistinctNumberList - Class in cern.colt.list
Resizable compressed list holding numbers; based on the fact that a number from a large list with few distinct values need not take more than log(distinctValues) bits; implemented with a MinMaxNumberList.
DistinctNumberList(long[], int) - Constructor for class cern.colt.list.DistinctNumberList
Constructs an empty list with the specified initial capacity and the specified distinct values allowed to be hold in this list.
Distribution - Interface in org.apache.commons.math.distribution
Base interface for probability distributions.
DistributionFactory - Class in org.apache.commons.math.distribution
This factory provids the means to create common statistical distributions.
DistributionFactoryImpl - Class in org.apache.commons.math.distribution
A concrete distribution factory.
DistributionFactoryImpl() - Constructor for class org.apache.commons.math.distribution.DistributionFactoryImpl
Default constructor.
Distributions - Class in cern.jet.random
Contains methods for conveniently generating pseudo-random numbers from special distributions such as the Burr, Cauchy, Erlang, Geometric, Lambda, Laplace, Logistic, Weibull, etc.
distroy() - Method in class jhplot.HChart
Distroy the canvas frame
distroy() - Method in class jhplot.HGraph
Distroy the canvas frame
distroy() - Method in class jhplot.HPlot
Distroy the canvas frame
distroy() - Method in class jhplot.HPlot3D
Distroy the canvas
div(DoubleMatrix1D, double) - Static method in class cern.colt.matrix.doublealgo.Transform
Deprecated. A = A / s <=> A[i] = A[i] / s.
div(DoubleMatrix1D, DoubleMatrix1D) - Static method in class cern.colt.matrix.doublealgo.Transform
Deprecated. A = A / B <=> A[i] = A[i] / B[i].
div(DoubleMatrix2D, double) - Static method in class cern.colt.matrix.doublealgo.Transform
Deprecated. A = A / s <=> A[row,col] = A[row,col] / s.
div(DoubleMatrix2D, DoubleMatrix2D) - Static method in class cern.colt.matrix.doublealgo.Transform
Deprecated. A = A / B <=> A[row,col] = A[row,col] / B[row,col].
div - Static variable in class cern.jet.math.Functions
Function that returns a / b.
div(double) - Static method in class cern.jet.math.Functions
Constructs a function that returns a / b.
div - Static variable in class cern.jet.math.IntFunctions
Function that returns a / b.
div(int) - Static method in class cern.jet.math.IntFunctions
Constructs a function that returns a / b.
div(double) - Static method in class cern.jet.math.Mult
a / constant.
div(Binner1D, Binner1D, Binner1D) - Static method in class hep.aida.ref.histogram.binner.BinnerMath
 
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(Complex) - Method in class org.apache.commons.math.complex.Complex
Return the quotient of this complex number and the given complex number.
divide(Fraction) - Method in class org.apache.commons.math.fraction.Fraction
Divide the value of this fraction by another.
dnrm2(DoubleMatrix1D) - Method in interface cern.colt.matrix.linalg.Blas
Return the 2-norm; sqrt(x[0]^2 + x[1]^2 + ...).
dnrm2(DoubleMatrix1D) - Method in class cern.colt.matrix.linalg.SeqBlas
 
dnrm2(DoubleMatrix1D) - Method in class cern.colt.matrix.linalg.SmpBlas
 
Double27Function - Interface in cern.colt.function
Interface that represents a function object: a function that takes 27 arguments and returns a single value.
Double5Function - Interface in cern.colt.function
Interface that represents a function object: a function that takes 5 arguments and returns a single value.
Double9Function - Interface in cern.colt.function
Interface that represents a function object: a function that takes 9 arguments and returns a single value.
doubleArray(int) - Method in class flanagan.math.PsRandom
 
DoubleArray - Interface in org.apache.commons.math.util
Provides a standard interface for double arrays.
DoubleArrayList - Class in cern.colt.list
Resizable list holding double elements; implemented with arrays.
DoubleArrayList() - Constructor for class cern.colt.list.DoubleArrayList
Constructs an empty list.
DoubleArrayList(double[]) - Constructor for class cern.colt.list.DoubleArrayList
Constructs a list containing the specified elements.
DoubleArrayList(int) - Constructor for class cern.colt.list.DoubleArrayList
Constructs an empty list with the specified initial capacity.
DoubleBuffer - Class in cern.colt.buffer
Fixed sized (non resizable) streaming buffer connected to a target DoubleBufferConsumer to which data is automatically flushed upon buffer overflow.
DoubleBuffer(DoubleBufferConsumer, int) - Constructor for class cern.colt.buffer.DoubleBuffer
Constructs and returns a new buffer with the given target.
DoubleBuffer2D - Class in cern.colt.buffer
Fixed sized (non resizable) streaming buffer connected to a target DoubleBuffer2DConsumer to which data is automatically flushed upon buffer overflow.
DoubleBuffer2D(DoubleBuffer2DConsumer, int) - Constructor for class cern.colt.buffer.DoubleBuffer2D
Constructs and returns a new buffer with the given target.
DoubleBuffer2DConsumer - Interface in cern.colt.buffer
Target of a streaming DoubleBuffer2D into which data is flushed upon buffer overflow.
DoubleBuffer3D - Class in cern.colt.buffer
Fixed sized (non resizable) streaming buffer connected to a target DoubleBuffer3DConsumer to which data is automatically flushed upon buffer overflow.
DoubleBuffer3D(DoubleBuffer3DConsumer, int) - Constructor for class cern.colt.buffer.DoubleBuffer3D
Constructs and returns a new buffer with the given target.
DoubleBuffer3DConsumer - Interface in cern.colt.buffer
Target of a streaming DoubleBuffer3D into which data is flushed upon buffer overflow.
DoubleBufferConsumer - Interface in cern.colt.buffer
Target of a streaming DoubleBuffer into which data is flushed upon buffer overflow.
DoubleComparator - Interface in cern.colt.function
A comparison function which imposes a total ordering on some collection of elements.
DoubleDoubleFunction - Interface in cern.colt.function
Interface that represents a function object: a function that takes two arguments and returns a single value.
DoubleDoubleProcedure - Interface in cern.colt.function
Interface that represents a procedure object: a procedure that takes two arguments and does not return a value.
DoubleFactory1D - Class in cern.colt.matrix
Factory for convenient construction of 1-d matrices holding double cells.
DoubleFactory2D - Class in cern.colt.matrix
Factory for convenient construction of 2-d matrices holding double cells.
DoubleFactory3D - Class in cern.colt.matrix
Factory for convenient construction of 3-d matrices holding double cells.
DoubleFunction - Interface in cern.colt.function
Interface that represents a function object: a function that takes a single argument and returns a single value.
DoubleIntProcedure - Interface in cern.colt.function
Interface that represents a procedure object: a procedure that takes two arguments and does not return a value.
DoubleListAdapter - Class in cern.colt.list.adapter
Adapter that permits an AbstractDoubleList to be viewed and treated as a JDK 1.2 AbstractList.
DoubleListAdapter(AbstractDoubleList) - Constructor for class cern.colt.list.adapter.DoubleListAdapter
Constructs a list backed by the specified content list.
DoubleMatrix1D - Class in cern.colt.matrix
Abstract base class for 1-d matrices (aka vectors) holding double elements.
DoubleMatrix1DComparator - Interface in cern.colt.matrix.doublealgo
A comparison function which imposes a total ordering on some collection of elements.
DoubleMatrix1DProcedure - Interface in cern.colt.matrix
Interface that represents a condition or procedure object: takes a single argument and returns a boolean value.
DoubleMatrix2D - Class in cern.colt.matrix
Abstract base class for 2-d matrices holding double elements.
DoubleMatrix2DComparator - Interface in cern.colt.matrix.doublealgo
A comparison function which imposes a total ordering on some collection of elements.
DoubleMatrix2DProcedure - Interface in cern.colt.matrix
Interface that represents a condition or procedure object: takes a single argument and returns a boolean value.
DoubleMatrix3D - Class in cern.colt.matrix
Abstract base class for 3-d matrices holding double elements.
DoubleMatrix3DProcedure - Interface in cern.colt.matrix
Interface that represents a condition or procedure object: takes a single argument and returns a boolean value.
DoubleProcedure - Interface in cern.colt.function
Interface that represents a procedure object: a procedure that takes a single argument and does not return a value.
DoubleQuantileFinder - Interface in cern.jet.stat.quantile
The interface shared by all quantile finders, no matter if they are exact or approximate.
doubleTOint(double[]) - Static method in class flanagan.math.Fmath
 
doubleValue() - Method in class org.apache.commons.math.fraction.Fraction
Gets the fraction as a double.
DRand - Class in cern.jet.random.engine
Quick medium quality uniform pseudo-random number generator.
DRand() - Constructor for class cern.jet.random.engine.DRand
Constructs and returns a random number generator with a default seed, which is a constant.
DRand(int) - Constructor for class cern.jet.random.engine.DRand
Constructs and returns a random number generator with the given seed.
DRand(Date) - Constructor for class cern.jet.random.engine.DRand
Constructs and returns a random number generator seeded with the given date.
draw(P1D) - Method in class jhplot.HChart
Draw data in form of P1D.
draw(HLabel) - Method in class jhplot.HPlot
Draw a label.
draw(HShape) - Method in class jhplot.HPlot
Draw a shape primitive to the Canvas.
draw(H1D[]) - Method in class jhplot.HPlot
Draw array of histograms
draw(H1D) - Method in class jhplot.HPlot
Plot 1D histogram.
draw(F1D[]) - Method in class jhplot.HPlot
Draw array of P1D 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(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(H2D) - Method in class jhplot.HPlot3D
Draw H2D histogram
draw(H2D, H2D) - Method in class jhplot.HPlot3D
Plot 2 H2D histograms on the same plot
draw(F2D) - Method in class jhplot.HPlot3D
Draw F2D function
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
drawAxis(int) - Method in class jhplot.HPlot
Returns whether an axis will be drawn or not.
drawMirrorAxis(int) - Method in class jhplot.HPlot
Returns whether the mirror of an axis will be drawn or not.
DrawOptions - Class in jhplot
Main class which sets graphics attributes for H1D, F1D, P1D classes.
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)
drawTicLabels(int) - Method in class jhplot.HPlot
Returns whether or not to draw tic labels
drawTics(int) - Method in class jhplot.HPlot
Returns whether or not to draw tics (little lines on the axes).
drot(DoubleMatrix1D, DoubleMatrix1D, double, double) - Method in interface cern.colt.matrix.linalg.Blas
Applies a givens plane rotation to (x,y); x = c*x + s*y; y = c*y - s*x.
drot(DoubleMatrix1D, DoubleMatrix1D, double, double) - Method in class cern.colt.matrix.linalg.SeqBlas
 
drot(DoubleMatrix1D, DoubleMatrix1D, double, double) - Method in class cern.colt.matrix.linalg.SmpBlas
 
drotg(double, double, double[]) - Method in interface cern.colt.matrix.linalg.Blas
Constructs a Givens plane rotation for (a,b).
drotg(double, double, double[]) - Method in class cern.colt.matrix.linalg.SeqBlas
 
drotg(double, double, double[]) - Method in class cern.colt.matrix.linalg.SmpBlas
 
dscal(double, DoubleMatrix1D) - Method in interface cern.colt.matrix.linalg.Blas
Vector scaling; x = alpha*x.
dscal(double, DoubleMatrix2D) - Method in interface cern.colt.matrix.linalg.Blas
Matrix scaling; A = alpha*A.
dscal(double, DoubleMatrix1D) - Method in class cern.colt.matrix.linalg.SeqBlas
 
dscal(double, DoubleMatrix2D) - Method in class cern.colt.matrix.linalg.SeqBlas
 
dscal(double, DoubleMatrix1D) - Method in class cern.colt.matrix.linalg.SmpBlas
 
dscal(double, DoubleMatrix2D) - Method in class cern.colt.matrix.linalg.SmpBlas
 
dswap(DoubleMatrix1D, DoubleMatrix1D) - Method in interface cern.colt.matrix.linalg.Blas
Swaps the elements of two vectors; y <==> x.
dswap(DoubleMatrix2D, DoubleMatrix2D) - Method in interface cern.colt.matrix.linalg.Blas
Swaps the elements of two matrices; B <==> A.
dswap(DoubleMatrix1D, DoubleMatrix1D) - Method in class cern.colt.matrix.linalg.SeqBlas
 
dswap(DoubleMatrix2D, DoubleMatrix2D) - Method in class cern.colt.matrix.linalg.SeqBlas
 
dswap(DoubleMatrix1D, DoubleMatrix1D) - Method in class cern.colt.matrix.linalg.SmpBlas
 
dswap(DoubleMatrix2D, DoubleMatrix2D) - Method in class cern.colt.matrix.linalg.SmpBlas
 
dsymv(boolean, double, DoubleMatrix2D, DoubleMatrix1D, double, DoubleMatrix1D) - Method in interface cern.colt.matrix.linalg.Blas
Symmetric matrix-vector multiplication; y = alpha*A*x + beta*y.
dsymv(boolean, double, DoubleMatrix2D, DoubleMatrix1D, double, DoubleMatrix1D) - Method in class cern.colt.matrix.linalg.SeqBlas
 
dsymv(boolean, double, DoubleMatrix2D, DoubleMatrix1D, double, DoubleMatrix1D) - Method in class cern.colt.matrix.linalg.SmpBlas
 
dtrmv(boolean, boolean, boolean, DoubleMatrix2D, DoubleMatrix1D) - Method in interface cern.colt.matrix.linalg.Blas
Triangular matrix-vector multiplication; x = A*x or x = A'*x.
dtrmv(boolean, boolean, boolean, DoubleMatrix2D, DoubleMatrix1D) - Method in class cern.colt.matrix.linalg.SeqBlas
 
dtrmv(boolean, boolean, boolean, DoubleMatrix2D, DoubleMatrix1D) - Method in class cern.colt.matrix.linalg.SmpBlas
 
dualPartition(double[], double[], int, int, double[], int, int, int[]) - Static method in class cern.colt.Partitioning
Same as Partitioning.dualPartition(int[],int[],int,int,int[],int,int,int[]) except that it synchronously partitions double[] rather than int[] arrays.
dualPartition(double[], double[], int, int, double) - Static method in class cern.colt.Partitioning
Same as Partitioning.dualPartition(int[],int[],int,int,int) except that it synchronously partitions double[] rather than int[] arrays.
dualPartition(int[], int[], int, int, int[], int, int, int[]) - Static method in class cern.colt.Partitioning
Same as Partitioning.partition(int[],int,int,int[],int,int,int[]) except that this method synchronously partitions two arrays at the same time; both arrays are partially sorted according to the elements of the primary array.
dualPartition(int[], int[], int, int, int) - Static method in class cern.colt.Partitioning
Same as Partitioning.partition(int[],int,int,int) except that this method synchronously partitions two arrays at the same time; both arrays are partially sorted according to the elements of the primary array.
durbinWatson(DoubleArrayList) - Static method in class cern.jet.stat.Descriptive
Durbin-Watson computation.
DynamicBin1D - Class in cern.hep.aida.bin
1-dimensional rebinnable bin holding double elements; Efficiently computes advanced statistics of data sequences.
DynamicBin1D() - Constructor for class cern.hep.aida.bin.DynamicBin1D
Constructs and returns an empty bin; implicitly calls setFixedOrder(false).

E

E - Static variable in class flanagan.math.Fmath
 
e_SI - Static variable in class cern.clhep.Units
 
e_squared - Static variable in class cern.clhep.PhysicalConstants
 
edges(IAxis) - Method in class cern.hep.aida.ref.Converter
Returns all edges of the given axis.
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
 
EigenvalueDecomposition - Class in cern.colt.matrix.linalg
Eigenvalues and eigenvectors of a real matrix A.
EigenvalueDecomposition(DoubleMatrix2D) - Constructor for class cern.colt.matrix.linalg.EigenvalueDecomposition
Constructs and returns a new eigenvalue decomposition object; The decomposed matrices can be retrieved via instance methods of the returned decomposition object.
elapsedTime() - Method in class cern.colt.Timer
Same as seconds().
electron_charge - Static variable in class cern.clhep.PhysicalConstants
 
electron_Compton_length - Static variable in class cern.clhep.PhysicalConstants
 
electron_mass_c2 - Static variable in class cern.clhep.PhysicalConstants
 
electronvolt - Static variable in class cern.clhep.Units
 
elements() - Method in class cern.colt.bitvector.BitVector
You normally need not use this method.
elements(long[], int) - Method in class cern.colt.bitvector.BitVector
You normally need not use this method.
elements() - Method in class cern.colt.list.AbstractBooleanList
Returns the elements currently stored, possibly including invalid elements between size and capacity.
elements(boolean[]) - Method in class cern.colt.list.AbstractBooleanList
Sets the receiver's elements to be the specified array.
elements() - Method in class cern.colt.list.AbstractByteList
Returns the elements currently stored, possibly including invalid elements between size and capacity.
elements(byte[]) - Method in class cern.colt.list.AbstractByteList
Sets the receiver's elements to be the specified array.
elements() - Method in class cern.colt.list.AbstractCharList
Returns the elements currently stored, possibly including invalid elements between size and capacity.
elements(char[]) - Method in class cern.colt.list.AbstractCharList
Sets the receiver's elements to be the specified array.
elements() - Method in class cern.colt.list.AbstractDoubleList
Returns the elements currently stored, possibly including invalid elements between size and capacity.
elements(double[]) - Method in class cern.colt.list.AbstractDoubleList
Sets the receiver's elements to be the specified array.
elements() - Method in class cern.colt.list.AbstractFloatList
Returns the elements currently stored, possibly including invalid elements between size and capacity.
elements(float[]) - Method in class cern.colt.list.AbstractFloatList
Sets the receiver's elements to be the specified array.
elements() - Method in class cern.colt.list.AbstractIntList
Returns the elements currently stored, possibly including invalid elements between size and capacity.
elements(int[]) - Method in class cern.colt.list.AbstractIntList
Sets the receiver's elements to be the specified array.
elements() - Method in class cern.colt.list.AbstractLongList
Returns the elements currently stored, possibly including invalid elements between size and capacity.
elements(long[]) - Method in class cern.colt.list.AbstractLongList
Sets the receiver's elements to be the specified array.
elements() - Method in class cern.colt.list.AbstractShortList
Returns the elements currently stored, possibly including invalid elements between size and capacity.
elements(short[]) - Method in class cern.colt.list.AbstractShortList
Sets the receiver's elements to be the specified array.
elements() - Method in class cern.colt.list.BooleanArrayList
Returns the elements currently stored, including invalid elements between size and capacity, if any.
elements(boolean[]) - Method in class cern.colt.list.BooleanArrayList
Sets the receiver's elements to be the specified array (not a copy of it).
elements() - Method in class cern.colt.list.ByteArrayList
Returns the elements currently stored, including invalid elements between size and capacity, if any.
elements(byte[]) - Method in class cern.colt.list.ByteArrayList
Sets the receiver's elements to be the specified array (not a copy of it).
elements() - Method in class cern.colt.list.CharArrayList
Returns the elements currently stored, including invalid elements between size and capacity, if any.
elements(char[]) - Method in class cern.colt.list.CharArrayList
Sets the receiver's elements to be the specified array (not a copy of it).
elements() - Method in class cern.colt.list.DoubleArrayList
Returns the elements currently stored, including invalid elements between size and capacity, if any.
elements(double[]) - Method in class cern.colt.list.DoubleArrayList
Sets the receiver's elements to be the specified array (not a copy of it).
elements() - Method in class cern.colt.list.FloatArrayList
Returns the elements currently stored, including invalid elements between size and capacity, if any.
elements(float[]) - Method in class cern.colt.list.FloatArrayList
Sets the receiver's elements to be the specified array (not a copy of it).
elements() - Method in class cern.colt.list.IntArrayList
Returns the elements currently stored, including invalid elements between size and capacity, if any.
elements(int[]) - Method in class cern.colt.list.IntArrayList
Sets the receiver's elements to be the specified array (not a copy of it).
elements() - Method in class cern.colt.list.LongArrayList
Returns the elements currently stored, including invalid elements between size and capacity, if any.
elements(long[]) - Method in class cern.colt.list.LongArrayList
Sets the receiver's elements to be the specified array (not a copy of it).
elements() - Method in class cern.colt.list.ObjectArrayList
Returns the elements currently stored, including invalid elements between size and capacity, if any.
elements(Object[]) - Method in class cern.colt.list.ObjectArrayList
Sets the receiver's elements to be the specified array (not a copy of it).
elements() - Method in class cern.colt.list.ShortArrayList
Returns the elements currently stored, including invalid elements between size and capacity, if any.
elements(short[]) - Method in class cern.colt.list.ShortArrayList
Sets the receiver's elements to be the specified array (not a copy of it).
elements() - Method in class cern.hep.aida.bin.DynamicBin1D
Returns a copy of the currently stored elements.
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
 
elm_coupling - Static variable in class cern.clhep.PhysicalConstants
 
Empirical - Class in cern.jet.random
Empirical distribution.
Empirical(double[], int, RandomEngine) - Constructor for class cern.jet.random.Empirical
Constructs an Empirical distribution.
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.
EmpiricalWalker - Class in cern.jet.random
Discrete Empirical distribution (pdf's can be specified).
EmpiricalWalker(double[], int, RandomEngine) - Constructor for class cern.jet.random.EmpiricalWalker
Constructs an Empirical distribution.
endOfBin(int) - Method in class cern.jet.stat.quantile.EquiDepthHistogram
Returns the end of the range associated with the given bin.
engineName() - Method in class hep.aida.ref.fitter.FitResult
 
engineName() - Method in class hep.aida.ref.fitter.Fitter
 
engsetLoad(double, double, double) - Static method in class flanagan.analysis.Stat
 
engsetProbability(double, double, double) - Static method in class flanagan.analysis.Stat
 
engsetProbability(double, long, long) - Static method in class flanagan.analysis.Stat
 
engsetProbability(double, int, int) - Static method in class flanagan.analysis.Stat
 
ensetLoad(double, long, long) - Static method in class flanagan.analysis.Stat
 
ensetLoad(double, int, int) - Static method in class flanagan.analysis.Stat
 
ensureCapacity(byte[], int) - Static method in class cern.colt.Arrays
Ensures that a given array can hold up to minCapacity elements.
ensureCapacity(char[], int) - Static method in class cern.colt.Arrays
Ensures that a given array can hold up to minCapacity elements.
ensureCapacity(double[], int) - Static method in class cern.colt.Arrays
Ensures that a given array can hold up to minCapacity elements.
ensureCapacity(float[], int) - Static method in class cern.colt.Arrays
Ensures that a given array can hold up to minCapacity elements.
ensureCapacity(int[], int) - Static method in class cern.colt.Arrays
Ensures that a given array can hold up to minCapacity elements.
ensureCapacity(long[], int) - Static method in class cern.colt.Arrays
Ensures that a given array can hold up to minCapacity elements.
ensureCapacity(Object[], int) - Static method in class cern.colt.Arrays
Ensures that a given array can hold up to minCapacity elements.
ensureCapacity(short[], int) - Static method in class cern.colt.Arrays
Ensures that a given array can hold up to minCapacity elements.
ensureCapacity(boolean[], int) - Static method in class cern.colt.Arrays
Ensures that a given array can hold up to minCapacity elements.
ensureCapacity(int) - Method in class cern.colt.list.AbstractBooleanList
Ensures that the receiver can hold at least the specified number of elements without needing to allocate new internal memory.
ensureCapacity(int) - Method in class cern.colt.list.AbstractByteList
Ensures that the receiver can hold at least the specified number of elements without needing to allocate new internal memory.
ensureCapacity(int) - Method in class cern.colt.list.AbstractCharList
Ensures that the receiver can hold at least the specified number of elements without needing to allocate new internal memory.
ensureCapacity(int) - Method in class cern.colt.list.AbstractDoubleList
Ensures that the receiver can hold at least the specified number of elements without needing to allocate new internal memory.
ensureCapacity(int) - Method in class cern.colt.list.AbstractFloatList
Ensures that the receiver can hold at least the specified number of elements without needing to allocate new internal memory.
ensureCapacity(int) - Method in class cern.colt.list.AbstractIntList
Ensures that the receiver can hold at least the specified number of elements without needing to allocate new internal memory.
ensureCapacity(int) - Method in class cern.colt.list.AbstractLongList
Ensures that the receiver can hold at least the specified number of elements without needing to allocate new internal memory.
ensureCapacity(int) - Method in class cern.colt.list.AbstractShortList
Ensures that the receiver can hold at least the specified number of elements without needing to allocate new internal memory.
ensureCapacity(int) - Method in class cern.colt.list.BooleanArrayList
Ensures that the receiver can hold at least the specified number of elements without needing to allocate new internal memory.
ensureCapacity(int) - Method in class cern.colt.list.ByteArrayList
Ensures that the receiver can hold at least the specified number of elements without needing to allocate new internal memory.
ensureCapacity(int) - Method in class cern.colt.list.CharArrayList
Ensures that the receiver can hold at least the specified number of elements without needing to allocate new internal memory.
ensureCapacity(int) - Method in class cern.colt.list.DistinctNumberList
Ensures that the receiver can hold at least the specified number of elements without needing to allocate new internal memory.
ensureCapacity(int) - Method in class cern.colt.list.DoubleArrayList
Ensures that the receiver can hold at least the specified number of elements without needing to allocate new internal memory.
ensureCapacity(int) - Method in class cern.colt.list.FloatArrayList
Ensures that the receiver can hold at least the specified number of elements without needing to allocate new internal memory.
ensureCapacity(int) - Method in class cern.colt.list.IntArrayList
Ensures that the receiver can hold at least the specified number of elements without needing to allocate new internal memory.
ensureCapacity(int) - Method in class cern.colt.list.LongArrayList
Ensures that the receiver can hold at least the specified number of elements without needing to allocate new internal memory.
ensureCapacity(int) - Method in class cern.colt.list.MinMaxNumberList
Ensures that the receiver can hold at least the specified number of elements without needing to allocate new internal memory.
ensureCapacity(int) - Method in class cern.colt.list.ObjectArrayList
Ensures that the receiver can hold at least the specified number of elements without needing to allocate new internal memory.
ensureCapacity(int) - Method in class cern.colt.list.ShortArrayList
Ensures that the receiver can hold at least the specified number of elements without needing to allocate new internal memory.
ensureCapacity(int) - Method in class cern.colt.list.SimpleLongArrayList
Ensures that the receiver can hold at least the specified number of elements without needing to allocate new internal memory.
ensureCapacity(int) - Method in class cern.colt.map.AbstractMap
Ensures that the receiver can hold at least the specified number of elements without needing to allocate new internal memory.
ensureCapacity(int) - Method in class cern.colt.map.OpenDoubleIntHashMap
Ensures that the receiver can hold at least the specified number of associations without needing to allocate new internal memory.
ensureCapacity(int) - Method in class cern.colt.map.OpenIntDoubleHashMap
Ensures that the receiver can hold at least the specified number of associations without needing to allocate new internal memory.
ensureCapacity(int) - Method in class cern.colt.map.OpenIntIntHashMap
Ensures that the receiver can hold at least the specified number of associations without needing to allocate new internal memory.
ensureCapacity(int) - Method in class cern.colt.map.OpenIntObjectHashMap
Ensures that the receiver can hold at least the specified number of associations without needing to allocate new internal memory.
ensureCapacity(int) - Method in class cern.colt.map.OpenLongObjectHashMap
Ensures that the receiver can hold at least the specified number of associations without needing to allocate new internal memory.
ensureCapacity(int) - Method in class cern.colt.matrix.impl.AbstractMatrix
Ensures that the receiver can hold at least the specified number of non-zero (non-null) cells without needing to allocate new internal memory.
ensureCapacity(int) - Method in class cern.colt.matrix.impl.SparseDoubleMatrix1D
Ensures that the receiver can hold at least the specified number of non-zero cells without needing to allocate new internal memory.
ensureCapacity(int) - Method in class cern.colt.matrix.impl.SparseDoubleMatrix2D
Ensures that the receiver can hold at least the specified number of non-zero cells without needing to allocate new internal memory.
ensureCapacity(int) - Method in class cern.colt.matrix.impl.SparseDoubleMatrix3D
Ensures that the receiver can hold at least the specified number of non-zero cells without needing to allocate new internal memory.
ensureCapacity(int) - Method in class cern.colt.matrix.impl.SparseObjectMatrix1D
Ensures that the receiver can hold at least the specified number of non-zero cells without needing to allocate new internal memory.
ensureCapacity(int) - Method in class cern.colt.matrix.impl.SparseObjectMatrix2D
Ensures that the receiver can hold at least the specified number of non-zero cells without needing to allocate new internal memory.
ensureCapacity(int) - Method in class cern.colt.matrix.impl.SparseObjectMatrix3D
Ensures that the receiver can hold at least the specified number of non-zero cells without needing to allocate new internal memory.
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
eplus - Static variable in class cern.clhep.Units
 
epsilon0 - Static variable in class cern.clhep.PhysicalConstants
 
EPSILON_0 - Static variable in class flanagan.math.Fmath
 
equals(Object) - Method in class cern.colt.bitvector.BitMatrix
Compares this object against the specified object.
equals(Object) - Method in class cern.colt.bitvector.BitVector
Compares this object against the specified object.
equals(Object) - Method in interface cern.colt.function.ByteComparator
Indicates whether some other object is "equal to" this Comparator.
equals(Object) - Method in interface cern.colt.function.CharComparator
Indicates whether some other object is "equal to" this Comparator.
equals(Object) - Method in interface cern.colt.function.DoubleComparator
Indicates whether some other object is "equal to" this Comparator.
equals(Object) - Method in interface cern.colt.function.FloatComparator
Indicates whether some other object is "equal to" this Comparator.
equals(Object) - Method in interface cern.colt.function.IntComparator
Indicates whether some other object is "equal to" this Comparator.
equals(Object) - Method in interface cern.colt.function.LongComparator
Indicates whether some other object is "equal to" this Comparator.
equals(Object) - Method in interface cern.colt.function.ShortComparator
Indicates whether some other object is "equal to" this Comparator.
equals(Object) - Method in class cern.colt.list.AbstractBooleanList
Compares the specified Object with the receiver.
equals(Object) - Method in class cern.colt.list.AbstractByteList
Compares the specified Object with the receiver.
equals(Object) - Method in class cern.colt.list.AbstractCharList
Compares the specified Object with the receiver.
equals(Object) - Method in class cern.colt.list.AbstractDoubleList
Compares the specified Object with the receiver.
equals(Object) - Method in class cern.colt.list.AbstractFloatList
Compares the specified Object with the receiver.
equals(Object) - Method in class cern.colt.list.AbstractIntList
Compares the specified Object with the receiver.
equals(Object) - Method in class cern.colt.list.AbstractLongList
Compares the specified Object with the receiver.
equals(Object) - Method in class cern.colt.list.AbstractShortList
Compares the specified Object with the receiver.
equals(Object) - Method in class cern.colt.list.BooleanArrayList
Compares the specified Object with the receiver.
equals(Object) - Method in class cern.colt.list.ByteArrayList
Compares the specified Object with the receiver.
equals(Object) - Method in class cern.colt.list.CharArrayList
Compares the specified Object with the receiver.
equals(Object) - Method in class cern.colt.list.DoubleArrayList
Compares the specified Object with the receiver.
equals(Object) - Method in class cern.colt.list.FloatArrayList
Compares the specified Object with the receiver.
equals(Object) - Method in class cern.colt.list.IntArrayList
Compares the specified Object with the receiver.
equals(Object) - Method in class cern.colt.list.LongArrayList
Compares the specified Object with the receiver.
equals(Object) - Method in class cern.colt.list.ObjectArrayList
Compares the specified Object with the receiver for equality.
equals(Object, boolean) - Method in class cern.colt.list.ObjectArrayList
Compares the specified Object with the receiver for equality.
equals(Object) - Method in class cern.colt.list.ShortArrayList
Compares the specified Object with the receiver.
equals(Object) - Method in class cern.colt.map.AbstractDoubleIntMap
Compares the specified object with this map for equality.
equals(Object) - Method in class cern.colt.map.AbstractIntDoubleMap
Compares the specified object with this map for equality.
equals(Object) - Method in class cern.colt.map.AbstractIntIntMap
Compares the specified object with this map for equality.
equals(Object) - Method in class cern.colt.map.AbstractIntObjectMap
Compares the specified object with this map for equality.
equals(Object) - Method in class cern.colt.map.AbstractLongObjectMap
Compares the specified object with this map for equality.
equals(Object) - Method in interface cern.colt.matrix.doublealgo.DoubleMatrix1DComparator
Indicates whether some other object is "equal to" this Comparator.
equals(Object) - Method in interface cern.colt.matrix.doublealgo.DoubleMatrix2DComparator
Indicates whether some other object is "equal to" this Comparator.
equals(DoubleMatrix2D, double) - Static method in class cern.colt.matrix.doublealgo.Transform
Deprecated. A[row,col] = A[row,col] == s ? 1 : 0; ignores tolerance.
equals(DoubleMatrix2D, DoubleMatrix2D) - Static method in class cern.colt.matrix.doublealgo.Transform
Deprecated. A[row,col] = A[row,col] == B[row,col] ? 1 : 0; ignores tolerance.
equals(double) - Method in class cern.colt.matrix.DoubleMatrix1D
Returns whether all cells are equal to the given value.
equals(Object) - Method in class cern.colt.matrix.DoubleMatrix1D
Compares this object against the specified object.
equals(double) - Method in class cern.colt.matrix.DoubleMatrix2D
Returns whether all cells are equal to the given value.
equals(Object) - Method in class cern.colt.matrix.DoubleMatrix2D
Compares this object against the specified object.
equals(double) - Method in class cern.colt.matrix.DoubleMatrix3D
Returns whether all cells are equal to the given value.
equals(Object) - Method in class cern.colt.matrix.DoubleMatrix3D
Compares this object against the specified object.
equals(DoubleMatrix1D, double) - Method in class cern.colt.matrix.linalg.Property
Returns whether all cells of the given matrix A are equal to the given value.
equals(DoubleMatrix1D, DoubleMatrix1D) - Method in class cern.colt.matrix.linalg.Property
Returns whether both given matrices A and B are equal.
equals(DoubleMatrix2D, double) - Method in class cern.colt.matrix.linalg.Property
Returns whether all cells of the given matrix A are equal to the given value.
equals(DoubleMatrix2D, DoubleMatrix2D) - Method in class cern.colt.matrix.linalg.Property
Returns whether both given matrices A and B are equal.
equals(DoubleMatrix3D, double) - Method in class cern.colt.matrix.linalg.Property
Returns whether all cells of the given matrix A are equal to the given value.
equals(DoubleMatrix3D, DoubleMatrix3D) - Method in class cern.colt.matrix.linalg.Property
Returns whether both given matrices A and B are equal.
equals(Object) - Method in interface cern.colt.matrix.objectalgo.ObjectMatrix1DComparator
Indicates whether some other object is "equal to" this Comparator.
equals(Object) - Method in interface cern.colt.matrix.objectalgo.ObjectMatrix2DComparator
Indicates whether some other object is "equal to" this Comparator.
equals(Object) - Method in class cern.colt.matrix.ObjectMatrix1D
Compares the specified Object with the receiver for equality.
equals(Object, boolean) - Method in class cern.colt.matrix.ObjectMatrix1D
Compares the specified Object with the receiver for equality.
equals(Object) - Method in class cern.colt.matrix.ObjectMatrix2D
Compares the specified Object with the receiver for equality.
equals(Object, boolean) - Method in class cern.colt.matrix.ObjectMatrix2D
Compares the specified Object with the receiver for equality.
equals(Object) - Method in class cern.colt.matrix.ObjectMatrix3D
Compares the specified Object with the receiver for equality.
equals(Object, boolean) - Method in class cern.colt.matrix.ObjectMatrix3D
Compares the specified Object with the receiver for equality.
equals(Object) - Method in class cern.hep.aida.bin.AbstractBin
Returns whether two objects are equal; This default implementation returns true if the other object is a bin and has the same size, value, error and center.
equals(Object) - Method in class cern.hep.aida.bin.AbstractBin1D
Returns whether two bins are equal; They are equal if the other object is of the same class or a subclass of this class and both have the same size, minimum, maximum, sum and sumOfSquares.
equals(Object) - Method in class cern.hep.aida.bin.DynamicBin1D
Returns whether two bins are equal.
equals - Static variable in class cern.jet.math.Functions
Function that returns a == b ? 1 : 0.
equals(double) - Static method in class cern.jet.math.Functions
Constructs a function that returns a == b ? 1 : 0.
equals - Static variable in class cern.jet.math.IntFunctions
Function that returns a == b ? 1 : 0.
equals(int) - Static method in class cern.jet.math.IntFunctions
Constructs a function that returns a == b ? 1 : 0.
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 org.apache.commons.math.complex.Complex
Test for the equality of two Complex objects.
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.linear.BigMatrixImpl
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.RealMatrixImpl
Returns true iff object is a RealMatrixImpl instance with the same dimensions as this and all corresponding matrix entries are equal.
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.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(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
EquiDepthHistogram - Class in cern.jet.stat.quantile
Read-only equi-depth histogram for selectivity estimation.
EquiDepthHistogram(float[]) - Constructor for class cern.jet.stat.quantile.EquiDepthHistogram
Constructs an equi-depth histogram with the given quantile elements.
equivalentBinEntries() - Method in class cern.hep.aida.ref.Histogram1D
 
equivalentBinEntries() - Method in class cern.hep.aida.ref.Histogram2D
 
equivalentBinEntries() - Method in class cern.hep.aida.ref.Histogram3D
 
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.
erf(double) - Static method in class flanagan.analysis.Stat
 
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 erf(x).
erfc(double) - Static method in class flanagan.analysis.Stat
 
erlang() - Method in class flanagan.analysis.Regression
 
erlangArray(double, int, int) - Method in class flanagan.math.PsRandom
 
erlangBload(double, double) - Static method in class flanagan.analysis.Stat
 
erlangBload(double, long) - Static method in class flanagan.analysis.Stat
 
erlangBload(double, int) - Static method in class flanagan.analysis.Stat
 
erlangBprobability(double, double) - Static method in class flanagan.analysis.Stat
 
erlangBprobability(double, long) - Static method in class flanagan.analysis.Stat
 
erlangBprobability(double, int) - Static method in class flanagan.analysis.Stat
 
erlangCDF(double, int, double) - Static method in class flanagan.analysis.Stat
 
erlangCDF(double, long, double) - Static method in class flanagan.analysis.Stat
 
erlangCDF(double, double, double) - Static method in class flanagan.analysis.Stat
 
erlangCload(double, double) - Static method in class flanagan.analysis.Stat
 
erlangCload(double, long) - Static method in class flanagan.analysis.Stat
 
erlangCload(double, int) - Static method in class flanagan.analysis.Stat
 
erlangCprobability(double, double) - Static method in class flanagan.analysis.Stat
 
erlangCprobability(double, long) - Static method in class flanagan.analysis.Stat
 
erlangCprobability(double, int) - Static method in class flanagan.analysis.Stat
 
erlangMean(double, int) - Static method in class flanagan.analysis.Stat
 
erlangMean(double, long) - Static method in class flanagan.analysis.Stat
 
erlangMean(double, double) - Static method in class flanagan.analysis.Stat
 
erlangMode(double, int) - Static method in class flanagan.analysis.Stat
 
erlangMode(double, long) - Static method in class flanagan.analysis.Stat
 
erlangMode(double, double) - Static method in class flanagan.analysis.Stat
 
erlangMprobability(double, double, double) - Static method in class flanagan.analysis.Stat
 
erlangMprobability(double, long, long) - Static method in class flanagan.analysis.Stat
 
erlangMprobability(double, int, int) - Static method in class flanagan.analysis.Stat
 
erlangPDF(double, int, double) - Static method in class flanagan.analysis.Stat
 
erlangPDF(double, long, double) - Static method in class flanagan.analysis.Stat
 
erlangPDF(double, double, double) - Static method in class flanagan.analysis.Stat
 
erlangPlot() - Method in class flanagan.analysis.Regression
 
erlangRand(double, int, int) - Static method in class flanagan.analysis.Stat
 
erlangRand(double, long, int) - Static method in class flanagan.analysis.Stat
 
erlangRand(double, double, int) - Static method in class flanagan.analysis.Stat
 
erlangRand(double, int, int, long) - Static method in class flanagan.analysis.Stat
 
erlangRand(double, long, int, long) - Static method in class flanagan.analysis.Stat
 
erlangRand(double, double, int, long) - Static method in class flanagan.analysis.Stat
 
erlangStandDev(double, int) - Static method in class flanagan.analysis.Stat
 
erlangStandDev(double, long) - Static method in class flanagan.analysis.Stat
 
erlangStandDev(double, double) - Static method in class flanagan.analysis.Stat
 
error() - Method in class cern.hep.aida.bin.AbstractBin
Returns error(0).
error(int) - Method in class cern.hep.aida.bin.AbstractBin
Returns a custom definable error measure; override this method if necessary.
error() - Method in class hep.aida.ref.fitter.fitdata.FitDataIterator
 
errorFunction(double) - Static method in class cern.jet.stat.Probability
Returns the error function of the normal distribution; formerly named erf.
errorFunctionComplemented(double) - Static method in class cern.jet.stat.Probability
Returns the complementary Error function of the normal distribution; formerly named erfc.
errorMinus() - Method in class hep.aida.ref.histogram.Measurement
 
errorPlus() - Method in class hep.aida.ref.histogram.Measurement
 
ErrorProp - Class in flanagan.analysis
 
ErrorProp() - Constructor for class flanagan.analysis.ErrorProp
 
ErrorProp(double, double) - Constructor for class flanagan.analysis.ErrorProp
 
ErrorProp(double) - Constructor for class flanagan.analysis.ErrorProp
 
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
 
EUCLID - Static variable in class cern.colt.matrix.doublealgo.Statistic
Euclidean distance function; Sqrt(Sum( (x[i]-y[i])^2 )).
EULER_CONSTANT_GAMMA - Static variable in class flanagan.math.Fmath
 
eV - Static variable in class cern.clhep.Units
 
eval() - Method in class jhplot.F1D
Evaluate a function
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 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(double[]) - Method in class org.apache.commons.math.stat.descriptive.AbstractUnivariateStatistic
 
evaluate(double[], int, int) - Method in class org.apache.commons.math.stat.descriptive.AbstractUnivariateStatistic
 
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[], 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 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[], 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[], 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[], 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[], 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) - 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
 
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.
eventId() - Method in class hep.aida.ref.function.FunctionChangedEvent
 
evToNm(double) - Static method in class flanagan.math.Fmath
 
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
 
exp - Static variable in class cern.jet.math.Functions
Function that returns Math.exp(a).
exp(ErrorProp) - Static method in class flanagan.analysis.ErrorProp
 
exp(Complex) - Static method in class org.apache.commons.math.complex.ComplexUtils
Compute the exponential function for the given complex argument.
Exponential - Class in cern.jet.random
Exponential Distribution (aka Negative Exponential Distribution); See the math definition animated definition.
Exponential(double, RandomEngine) - Constructor for class cern.jet.random.Exponential
Constructs a Negative Exponential distribution.
exponential() - Method in class flanagan.analysis.Regression
 
exponential(double, double, double) - Static method in class flanagan.analysis.Stat
 
EXPONENTIAL_MODE - Static variable in class org.apache.commons.math.random.ValueServer
Exponential random deviates with mean = mu
exponentialArray(double, double, int) - Method in class flanagan.math.PsRandom
 
exponentialCDF(double, double, double) - Static method in class flanagan.analysis.Stat
 
exponentialCDF(double, double, double, double) - Static method in class flanagan.analysis.Stat
 
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.
exponentialMean(double, double) - Static method in class flanagan.analysis.Stat
 
exponentialMedian(double, double) - Static method in class flanagan.analysis.Stat
 
exponentialMode(double) - Static method in class flanagan.analysis.Stat
 
exponentialOnePar() - Method in class flanagan.analysis.Regression
 
exponentialOneParPlot() - Method in class flanagan.analysis.Regression
 
exponentialPDF(double, double, double) - Static method in class flanagan.analysis.Stat
 
exponentialPlot() - Method in class flanagan.analysis.Regression
 
ExponentialPower - Class in cern.jet.random
Exponential Power distribution.
ExponentialPower(double, RandomEngine) - Constructor for class cern.jet.random.ExponentialPower
Constructs an Exponential Power distribution.
exponentialProb(double, double, double) - Static method in class flanagan.analysis.Stat
 
exponentialProb(double, double, double, double) - Static method in class flanagan.analysis.Stat
 
exponentialRand(double, double, int) - Static method in class flanagan.analysis.Stat
 
exponentialRand(double, double, int, long) - Static method in class flanagan.analysis.Stat
 
exponentialStandard() - Method in class flanagan.analysis.Regression
 
exponentialStandardPlot() - Method in class flanagan.analysis.Regression
 
exponentialStandDev(double) - Static method in class flanagan.analysis.Stat
 
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.
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
 
exsec(double) - Static method in class flanagan.math.Fmath
 
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.

F

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, String, double, double) - Constructor for class jhplot.F1D
Create a function in 1D.
F1D(IFunction, double, double) - Constructor for class jhplot.F1D
Create 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, double, double, double, double) - Constructor for class jhplot.F2D
Create a function in 2D.
F_FARADAY - Static variable in class flanagan.math.Fmath
 
factorial(int) - Static method in class cern.jet.math.Arithmetic
Instantly returns the factorial k!.
factorial - Static variable in class cern.jet.math.IntFunctions
Function that returns (int) Arithmetic.factorial(a).
factorial(int) - Static method in class flanagan.analysis.Stat
 
factorial(long) - Static method in class flanagan.analysis.Stat
 
factorial(double) - Static method in class flanagan.analysis.Stat
 
factorial(int) - Static method in class flanagan.math.Fmath
 
factorial(long) - Static method in class flanagan.math.Fmath
 
factorial(double) - Static method in class flanagan.math.Fmath
 
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!.
factories() - Method in class jhplot.HPlot
Create various JAIDA factories: IAnalysisFactory, ITree, IFitFactory, IFunctionFactory
fahrenToCelsius(double) - Static method in class flanagan.math.Fmath
 
farad - Static variable in class cern.clhep.Units
 
fArray(int, int, int) - Method in class flanagan.math.PsRandom
 
fCompCDF(double, int, int) - Static method in class flanagan.analysis.Stat
 
fCompCDF(double, int, double, int) - Static method in class flanagan.analysis.Stat
 
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.
fehlberg(DerivFunction, double, double, double, double, double, double, int) - Static method in class flanagan.integration.RungeKutta
 
fehlberg(DerivFunction, double, double, double, double, double, double) - Static method in class flanagan.integration.RungeKutta
 
fehlberg(DerivnFunction, double, double[], double, double, double, double, int) - Static method in class flanagan.integration.RungeKutta
 
fehlberg(DerivnFunction, double, double[], double, double, double, double) - Static method in class flanagan.integration.RungeKutta
 
fermi - Static variable in class cern.clhep.Units
 
fill(double) - Method in class cern.hep.aida.ref.Histogram1D
 
fill(double, double) - Method in class cern.hep.aida.ref.Histogram1D
 
fill(double, double) - Method in class cern.hep.aida.ref.Histogram2D
 
fill(double, double, double) - Method in class cern.hep.aida.ref.Histogram2D
 
fill(double, double, double) - Method in class cern.hep.aida.ref.Histogram3D
 
fill(double, double, double, double) - Method in class cern.hep.aida.ref.Histogram3D
 
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(double) - Method in class jhplot.H1D
Fill histogram with a value
fill(double, double) - Method in class jhplot.H1D
Fill histogram a with weight
fill(double, double) - Method in class jhplot.H2D
Fill H1D histogram
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
 
fillFromToWith(int, int, boolean) - Method in class cern.colt.list.AbstractBooleanList
Sets the specified range of elements in the specified array to the specified value.
fillFromToWith(int, int, byte) - Method in class cern.colt.list.AbstractByteList
Sets the specified range of elements in the specified array to the specified value.
fillFromToWith(int, int, char) - Method in class cern.colt.list.AbstractCharList
Sets the specified range of elements in the specified array to the specified value.
fillFromToWith(int, int, double) - Method in class cern.colt.list.AbstractDoubleList
Sets the specified range of elements in the specified array to the specified value.
fillFromToWith(int, int, float) - Method in class cern.colt.list.AbstractFloatList
Sets the specified range of elements in the specified array to the specified value.
fillFromToWith(int, int, int) - Method in class cern.colt.list.AbstractIntList
Sets the specified range of elements in the specified array to the specified value.
fillFromToWith(int, int, long) - Method in class cern.colt.list.AbstractLongList
Sets the specified range of elements in the specified array to the specified value.
fillFromToWith(int, int, short) - Method in class cern.colt.list.AbstractShortList
Sets the specified range of elements in the specified array to the specified value.
fillFromToWith(int, int, Object) - Method in class cern.colt.list.ObjectArrayList
Sets the specified range of elements in the specified array to the specified value.
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
 
fillPath(ITree, IManagedObject) - Static method in class hep.aida.ref.AidaUtils
 
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
 
find(String) - Method in class hep.aida.ref.tree.Tree
Get the IManagedObject at a given path in the ITree.
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
 
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.
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.
fine_structure_const - Static variable in class cern.clhep.PhysicalConstants
 
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
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, String, String) - Method in class jhplot.HPlot
Fit 1D histogram with the function F1D
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
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
 
fitOneOrSeveralDistributions(double[]) - Static method in class flanagan.analysis.Regression
 
fitOneOrSeveralDistributions(double[]) - Static method in class flanagan.analysis.Stat
 
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
 
FixedAxis - Class in cern.hep.aida.ref
Fixed-width axis; A reference implementation of hep.aida.IAxis.
FixedAxis(int, double, double) - Constructor for class cern.hep.aida.ref.FixedAxis
Create an Axis
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
flanagan.analysis - package flanagan.analysis
 
flanagan.integration - package flanagan.integration
 
flanagan.interpolation - package flanagan.interpolation
 
flanagan.math - package flanagan.math
 
FloatArrayList - Class in cern.colt.list
Resizable list holding float elements; implemented with arrays.
FloatArrayList() - Constructor for class cern.colt.list.FloatArrayList
Constructs an empty list.
FloatArrayList(float[]) - Constructor for class cern.colt.list.FloatArrayList
Constructs a list containing the specified elements.
FloatArrayList(int) - Constructor for class cern.colt.list.FloatArrayList
Constructs an empty list with the specified initial capacity.
FloatComparator - Interface in cern.colt.function
A comparison function which imposes a total ordering on some collection of elements.
FloatListAdapter - Class in cern.colt.list.adapter
Adapter that permits an AbstractFloatList to be viewed and treated as a JDK 1.2 AbstractList.
FloatListAdapter(AbstractFloatList) - Constructor for class cern.colt.list.adapter.FloatListAdapter
Constructs a list backed by the specified content list.
FloatProcedure - Interface in cern.colt.function
Interface that represents a procedure object: a procedure that takes a single argument and does not return a value.
floatTOdouble(float[]) - Static method in class flanagan.math.Fmath
 
floatValue() - Method in class org.apache.commons.math.fraction.Fraction
Gets the fraction as a float.
floor(double) - Static method in class cern.jet.math.Arithmetic
Returns the largest long <= value.
floor - Static variable in class cern.jet.math.Functions
Function that returns Math.floor(a).
fluidOunceUKtoUS(double) - Static method in class flanagan.math.Fmath
 
fluidOunceUStoUK(double) - Static method in class flanagan.math.Fmath
 
flush() - Method in class cern.colt.buffer.DoubleBuffer
Adds all internally buffered elements to the receiver's target, then resets the current buffer size to zero.
flush() - Method in class cern.colt.buffer.DoubleBuffer2D
Adds all internally buffered points to the receiver's target, then resets the current buffer size to zero.
flush() - Method in class cern.colt.buffer.DoubleBuffer3D
Adds all internally buffered points to the receiver's target, then resets the current buffer size to zero.
flush() - Method in class cern.colt.buffer.IntBuffer
Adds all internally buffered elements to the receiver's target, then resets the current buffer size to zero.
flush() - Method in class cern.colt.buffer.IntBuffer2D
Adds all internally buffered points to the receiver's target, then resets the current buffer size to zero.
flush() - Method in class cern.colt.buffer.IntBuffer3D
Adds all internally buffered points to the receiver's target, then resets the current buffer size to zero.
flush() - Method in class cern.colt.buffer.ObjectBuffer
Adds all internally buffered elements to the receiver's target, then resets the current buffer size to zero.
Fmath - Class in flanagan.math
 
Fmath() - Constructor for class flanagan.math.Fmath
 
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
 
footToMetre(double) - Static method in class flanagan.math.Fmath
 
forEach(BooleanProcedure) - Method in class cern.colt.list.AbstractBooleanList
Applies a procedure to each element of the receiver, if any.
forEach(ByteProcedure) - Method in class cern.colt.list.AbstractByteList
Applies a procedure to each element of the receiver, if any.
forEach(CharProcedure) - Method in class cern.colt.list.AbstractCharList
Applies a procedure to each element of the receiver, if any.
forEach(DoubleProcedure) - Method in class cern.colt.list.AbstractDoubleList
Applies a procedure to each element of the receiver, if any.
forEach(FloatProcedure) - Method in class cern.colt.list.AbstractFloatList
Applies a procedure to each element of the receiver, if any.
forEach(IntProcedure) - Method in class cern.colt.list.AbstractIntList
Applies a procedure to each element of the receiver, if any.
forEach(LongProcedure) - Method in class cern.colt.list.AbstractLongList
Applies a procedure to each element of the receiver, if any.
forEach(ShortProcedure) - Method in class cern.colt.list.AbstractShortList
Applies a procedure to each element of the receiver, if any.
forEach(BooleanProcedure) - Method in class cern.colt.list.BooleanArrayList
Applies a procedure to each element of the receiver, if any.
forEach(ByteProcedure) - Method in class cern.colt.list.ByteArrayList
Applies a procedure to each element of the receiver, if any.
forEach(CharProcedure) - Method in class cern.colt.list.CharArrayList
Applies a procedure to each element of the receiver, if any.
forEach(DoubleProcedure) - Method in class cern.colt.list.DoubleArrayList
Applies a procedure to each element of the receiver, if any.
forEach(FloatProcedure) - Method in class cern.colt.list.FloatArrayList
Applies a procedure to each element of the receiver, if any.
forEach(IntProcedure) - Method in class cern.colt.list.IntArrayList
Applies a procedure to each element of the receiver, if any.
forEach(LongProcedure) - Method in class cern.colt.list.LongArrayList
Applies a procedure to each element of the receiver, if any.
forEach(ObjectProcedure) - Method in class cern.colt.list.ObjectArrayList
Applies a procedure to each element of the receiver, if any.
forEach(ShortProcedure) - Method in class cern.colt.list.ShortArrayList
Applies a procedure to each element of the receiver, if any.
forEach(DoubleProcedure) - Method in interface cern.jet.stat.quantile.DoubleQuantileFinder
Applies a procedure to each element of the receiver, if any.
forEachCoordinateInState(boolean, IntIntProcedure) - Method in class cern.colt.bitvector.BitMatrix
Applies a procedure to each coordinate that holds a bit in the given state.
forEachIndexFromToInState(int, int, boolean, IntProcedure) - Method in class cern.colt.bitvector.BitVector
Applies a procedure to each bit index within the specified range that holds a bit in the given state.
forEachKey(DoubleProcedure) - Method in class cern.colt.map.AbstractDoubleIntMap
Applies a procedure to each key of the receiver, if any.
forEachKey(IntProcedure) - Method in class cern.colt.map.AbstractIntDoubleMap
Applies a procedure to each key of the receiver, if any.
forEachKey(IntProcedure) - Method in class cern.colt.map.AbstractIntIntMap
Applies a procedure to each key of the receiver, if any.
forEachKey(IntProcedure) - Method in class cern.colt.map.AbstractIntObjectMap
Applies a procedure to each key of the receiver, if any.
forEachKey(LongProcedure) - Method in class cern.colt.map.AbstractLongObjectMap
Applies a procedure to each key of the receiver, if any.
forEachKey(DoubleProcedure) - Method in class cern.colt.map.OpenDoubleIntHashMap
Applies a procedure to each key of the receiver, if any.
forEachKey(IntProcedure) - Method in class cern.colt.map.OpenIntDoubleHashMap
Applies a procedure to each key of the receiver, if any.
forEachKey(IntProcedure) - Method in class cern.colt.map.OpenIntIntHashMap
Applies a procedure to each key of the receiver, if any.
forEachKey(IntProcedure) - Method in class cern.colt.map.OpenIntObjectHashMap
Applies a procedure to each key of the receiver, if any.
forEachKey(LongProcedure) - Method in class cern.colt.map.OpenLongObjectHashMap
Applies a procedure to each key of the receiver, if any.
forEachNonZero(IntIntDoubleFunction) - Method in class cern.colt.matrix.DoubleMatrix2D
Assigns the result of a function to each non-zero cell; x[row,col] = function(x[row,col]).
forEachNonZero(IntIntDoubleFunction) - Method in class cern.colt.matrix.impl.RCDoubleMatrix2D
 
forEachNonZero(IntIntDoubleFunction) - Method in class cern.colt.matrix.impl.SparseDoubleMatrix2D
 
forEachPair(DoubleIntProcedure) - Method in class cern.colt.map.AbstractDoubleIntMap
Applies a procedure to each (key,value) pair of the receiver, if any.
forEachPair(IntDoubleProcedure) - Method in class cern.colt.map.AbstractIntDoubleMap
Applies a procedure to each (key,value) pair of the receiver, if any.
forEachPair(IntIntProcedure) - Method in class cern.colt.map.AbstractIntIntMap
Applies a procedure to each (key,value) pair of the receiver, if any.
forEachPair(IntObjectProcedure) - Method in class cern.colt.map.AbstractIntObjectMap
Applies a procedure to each (key,value) pair of the receiver, if any.
forEachPair(LongObjectProcedure) - Method in class cern.colt.map.AbstractLongObjectMap
Applies a procedure to each (key,value) pair of the receiver, if any.
forEachPair(DoubleIntProcedure) - Method in class cern.colt.map.OpenDoubleIntHashMap
Applies a procedure to each (key,value) pair of the receiver, if any.
forEachPair(IntDoubleProcedure) - Method in class cern.colt.map.OpenIntDoubleHashMap
Applies a procedure to each (key,value) pair of the receiver, if any.
forEachPair(IntIntProcedure) - Method in class cern.colt.map.OpenIntIntHashMap
Applies a procedure to each (key,value) pair of the receiver, if any.
forEachPair(IntObjectProcedure) - Method in class cern.colt.map.OpenIntObjectHashMap
Applies a procedure to each (key,value) pair of the receiver, if any.
forEachPair(LongObjectProcedure) - Method in class cern.colt.map.OpenLongObjectHashMap
Applies a procedure to each (key,value) pair of the receiver, if any.
foreward(IntegralFunction, double, double, int) - Method in class flanagan.integration.Integration
 
form(double) - Method in interface cern.colt.matrix.impl.Former
Formats a double into a string (like sprintf in C).
format(DoubleMatrix2D) - Method in class cern.colt.matrix.doublealgo.Formatter
Returns a string representations of all cells; no alignment considered.
Format - Class in corejava
A class for formatting numbers that follows printf conventions.
Format(String) - Constructor for class corejava.Format
Formats the number following printf conventions.
format(double) - Method in class corejava.Format
Formats a double into a string (like sprintf in C)
format(int) - Method in class corejava.Format
Formats an integer into a string (like sprintf in C)
format(long) - Method in class corejava.Format
Formats a long integer into a string (like sprintf in C)
format(char) - Method in class corejava.Format
Formats a character into a string (like sprintf in C)
format(String) - Method in class corejava.Format
Formats a string into a larger string (like sprintf in C)
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(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 a 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.
formatComplex(Complex) - Static method in class org.apache.commons.math.complex.ComplexFormat
This static method calls formatComplex() 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.
Formatter - Class in cern.colt.matrix.doublealgo
Flexible, well human readable matrix print formatting; By default decimal point aligned.
Formatter() - Constructor for class cern.colt.matrix.doublealgo.Formatter
Constructs and returns a matrix formatter with format "%G".
Formatter(String) - Constructor for class cern.colt.matrix.doublealgo.Formatter
Constructs and returns a matrix formatter.
Formatter - Class in cern.colt.matrix.objectalgo
Flexible, well human readable matrix print formatting.
Formatter() - Constructor for class cern.colt.matrix.objectalgo.Formatter
Constructs and returns a matrix formatter with alignment LEFT.
Formatter(String) - Constructor for class cern.colt.matrix.objectalgo.Formatter
Constructs and returns a matrix formatter.
Former - Interface in cern.colt.matrix.impl
Formats a double into a string (like sprintf in C).
FormerFactory - Class in cern.colt.matrix.impl
Factory producing implementations of Former via method create(); Implementations of can use existing libraries such as corejava.PrintfFormat or corejava.Format or other.
FormerFactory() - Constructor for class cern.colt.matrix.impl.FormerFactory
 
forward() - Method in class flanagan.integration.Integration
 
forward(int) - Method in class flanagan.integration.Integration
 
forward(IntegralFunction, double, double, int) - Method in class flanagan.integration.Integration
 
FourierTransform - Class in flanagan.math
 
FourierTransform() - Constructor for class flanagan.math.FourierTransform
 
FourierTransform(double[]) - Constructor for class flanagan.math.FourierTransform
 
FourierTransform(Complex[]) - Constructor for class flanagan.math.FourierTransform
 
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
fourthOrder(DerivFunction, double, double, double, double) - Static method in class flanagan.integration.RungeKutta
 
fourthOrder(DerivnFunction, double, double[], double, double) - Static method in class flanagan.integration.RungeKutta
 
fPDF(double, int, int) - Method in class flanagan.analysis.Stat
 
fPDF(double, int, double, int) - Method in class flanagan.analysis.Stat
 
FPMIN - Static variable in class flanagan.analysis.Stat
 
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.
Fraction(int, int) - Constructor for class org.apache.commons.math.fraction.Fraction
Create a fraction given the numerator and denominator.
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.
fRand(int, int, int) - Static method in class flanagan.analysis.Stat
 
fRand(int, int, int, long) - Static method in class flanagan.analysis.Stat
 
frechet() - Method in class flanagan.analysis.Regression
 
frechet(double, double, double, double) - Static method in class flanagan.analysis.Stat
 
frechetArray(double, double, double, int) - Method in class flanagan.math.PsRandom
 
frechetCDF(double, double, double, double, double) - Static method in class flanagan.analysis.Stat
 
frechetMean(double, double, double) - Static method in class flanagan.analysis.Stat
 
frechetMode(double, double, double) - Static method in class flanagan.analysis.Stat
 
frechetPDF(double, double, double, double) - Static method in class flanagan.analysis.Stat
 
frechetPlot() - Method in class flanagan.analysis.Regression
 
frechetProb(double, double, double, double) - Static method in class flanagan.analysis.Stat
 
frechetProb(double, double, double, double, double) - Static method in class flanagan.analysis.Stat
 
frechetRand(double, double, double, int) - Static method in class flanagan.analysis.Stat
 
frechetRand(double, double, double, int, long) - Static method in class flanagan.analysis.Stat
 
frechetStandard() - Method in class flanagan.analysis.Regression
 
frechetStandardPlot() - Method in class flanagan.analysis.Regression
 
frechetStandDev(double, double) - Static method in class flanagan.analysis.Stat
 
frechetTwoPar() - Method in class flanagan.analysis.Regression
 
frechetTwoParPlot() - Method in class flanagan.analysis.Regression
 
frequencies(DoubleArrayList, IntArrayList) - Method in class cern.hep.aida.bin.DynamicBin1D
Computes the frequency (number of occurances, count) of each distinct element.
frequencies(DoubleArrayList, DoubleArrayList, IntArrayList) - Static method in class cern.jet.stat.Descriptive
Computes the frequency (number of occurances, count) of each distinct value in the given sorted data.
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.
frobeniusNorm() - Method in class flanagan.math.Matrix
 
fTestProb(double, int, int) - Static method in class flanagan.analysis.Stat
 
fTestProb(double, int, double, int) - Static method in class flanagan.analysis.Stat
 
fTestValueGivenFprob(double, int, int) - Static method in class flanagan.analysis.Stat
 
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
 
funcF() - Method in class jhplot.HPlot
Return FunctionFactory associated with the plot
function(double[], double[]) - Method in interface flanagan.analysis.RegressionFunction
 
function(double[], double[], int) - Method in interface flanagan.analysis.RegressionFunction2
 
function(double) - Method in interface flanagan.integration.IntegralFunction
 
function(double[]) - Method in interface flanagan.math.MaximisationFunction
 
function(double[]) - Method in interface flanagan.math.MinimisationFunction
 
function(int) - Method in class hep.aida.ref.function.SumOfFunctions
 
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
Exeption 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, String) - Constructor for exception org.apache.commons.math.FunctionEvaluationException
Construct an exception using the given argument and message text.
FunctionEvaluationException(double, String, Throwable) - Constructor for exception org.apache.commons.math.FunctionEvaluationException
Construct an exception with the given argument, 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
 
functions - Static variable in class cern.hep.aida.bin.BinFunctions1D
Little trick to allow for "aliasing", that is, renaming this class.
Functions - Class in cern.jet.math
Function objects to be passed to generic methods.
functions - Static variable in class cern.jet.math.Functions
Little trick to allow for "aliasing", that is, renaming this class.
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 - Static variable in class cern.clhep.Units
 
gallonPerMileToLitrePerKm(double) - Static method in class flanagan.math.Fmath
 
gallonToLitre(double) - Static method in class flanagan.math.Fmath
 
gallonUKtoUS(double) - Static method in class flanagan.math.Fmath
 
gallonUStoUK(double) - Static method in class flanagan.math.Fmath
 
Gamma - Class in cern.jet.random
Gamma distribution; math definition, definition of gamma function and animated definition.
Gamma(double, double, RandomEngine) - Constructor for class cern.jet.random.Gamma
Constructs a Gamma distribution.
Gamma - Class in cern.jet.stat
Gamma and Beta functions.
gamma(double) - Static method in class cern.jet.stat.Gamma
Returns the Gamma function of the argument.
gamma(double, double, double) - Static method in class cern.jet.stat.Probability
Returns the integral from zero to x of the gamma probability density function.
gamma() - Method in class flanagan.analysis.Regression
 
gamma(double) - Static method in class flanagan.analysis.Stat
 
Gamma - Class in org.apache.commons.math.special
This is a utility class that provides computation methods related to the Gamma family of functions.
gammaArray(double, double, double, int) - Method in class flanagan.math.PsRandom
 
gammaCDF(double, double, double, double) - Static method in class flanagan.analysis.Stat
 
gammaCDF(double, double) - Static method in class flanagan.analysis.Stat
 
gammaComplemented(double, double, double) - Static method in class cern.jet.stat.Probability
Returns the integral from x to infinity of the gamma probability density function:
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.
gammaFunction(double) - Static method in class flanagan.analysis.Stat
 
gammaMean(double, double, double) - Static method in class flanagan.analysis.Stat
 
gammaMode(double, double, double) - Static method in class flanagan.analysis.Stat
 
gammaPDF(double, double, double, double) - Static method in class flanagan.analysis.Stat
 
gammaPDF(double, double) - Static method in class flanagan.analysis.Stat
 
gammaPlot() - Method in class flanagan.analysis.Regression
 
gammaRand(double, double, double, int) - Static method in class flanagan.analysis.Stat
 
gammaRand(double, double, double, int, long) - Static method in class flanagan.analysis.Stat
 
gammaStandard() - Method in class flanagan.analysis.Regression
 
gammaStandardPlot() - Method in class flanagan.analysis.Regression
 
gammaStandDev(double, double, double) - Static method in class flanagan.analysis.Stat
 
gauss - Static variable in class cern.clhep.Units
 
gaussian() - Method in class flanagan.analysis.Regression
 
gaussian(double, double, double) - Static method in class flanagan.analysis.Stat
 
GAUSSIAN_MODE - Static variable in class org.apache.commons.math.random.ValueServer
Gaussian random deviates with mean = mu, std dev = sigma
gaussianArray(double, double, int) - Method in class flanagan.math.PsRandom
 
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
 
gaussianCDF(double, double, double) - Static method in class flanagan.analysis.Stat
 
gaussianCDF(double, double, double, double) - Static method in class flanagan.analysis.Stat
 
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
 
gaussianPDF(double, double, double) - Static method in class flanagan.analysis.Stat
 
gaussianPlot() - Method in class flanagan.analysis.Regression
 
gaussianProb(double, double, double) - Static method in class flanagan.analysis.Stat
 
gaussianProb(double, double, double, double) - Static method in class flanagan.analysis.Stat
 
gaussianRand(double, double, int) - Static method in class flanagan.analysis.Stat
 
gaussianRand(double, double, int, long) - Static method in class flanagan.analysis.Stat
 
gaussQuad() - Method in class flanagan.integration.Integration
 
gaussQuad(int) - Method in class flanagan.integration.Integration
 
gaussQuad(IntegralFunction, double, double, int) - Static method in class flanagan.integration.Integration
 
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.
geData() - Method in class jhplot.HChart
Returns the current data object
generalisedMean(double[], double) - Static method in class flanagan.analysis.Stat
 
generalisedMean(float[], float) - Static method in class flanagan.analysis.Stat
 
generateNonSingular(DoubleMatrix2D) - Method in class cern.colt.matrix.linalg.Property
Modifies the given matrix square matrix A such that it is diagonally dominant by row and column, hence non-singular, hence invertible.
generatePoint() - Method in class hep.aida.ref.function.RangeSet
 
GenericFactory - Class in hep.aida.ref
 
GenericFactory(String) - Constructor for class hep.aida.ref.GenericFactory
 
genericPartition(int, int, int, int, int[], IntComparator, IntComparator, IntComparator, Swapper) - Static method in class cern.colt.Partitioning
Same as Partitioning.partition(int[],int,int,int[],int,int,int[]) except that it generically partitions arbitrary shaped data (for example matrices or multiple arrays) rather than int[] arrays.
GenericPermuting - Class in cern.colt
Generically reorders (permutes) arbitrary shaped data (for example, an array, three arrays, a 2-d matrix, two linked lists) using an in-place swapping algorithm.
GenericSorting - Class in cern.colt
Generically sorts arbitrary shaped data (for example multiple arrays, 1,2 or 3-d matrices, and so on) using a quicksort or mergesort.
geometricMean - Static variable in class cern.hep.aida.bin.BinFunctions1D
Function that returns bin.geometricMean().
geometricMean() - Method in class cern.hep.aida.bin.MightyStaticBin1D
Returns the geometric mean, which is Product( x[i] )1.0/size().
geometricMean(int, double) - Static method in class cern.jet.stat.Descriptive
Returns the geometric mean of a data sequence.
geometricMean(DoubleArrayList) - Static method in class cern.jet.stat.Descriptive
Returns the geometric mean of a data sequence.
geometricMean(double[]) - Static method in class flanagan.analysis.Stat
 
geometricMean(float[]) - Static method in class flanagan.analysis.Stat
 
geometricMean(double[], double[]) - Static method in class flanagan.analysis.Stat
 
geometricMean(float[], float[]) - Static method in class flanagan.analysis.Stat
 
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(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.
geometricPdf(int, double) - Static method in class cern.jet.random.Distributions
Returns the probability distribution function of the discrete geometric distribution.
get(int, int) - Method in class cern.colt.bitvector.BitMatrix
Returns from the receiver the value of the bit at the specified coordinate.
get(int) - Method in class cern.colt.bitvector.BitVector
Returns from the bitvector the value of the bit with the specified index.
get(long[], int) - Static method in class cern.colt.bitvector.QuickBitVector
Returns from the bitvector the value of the bit with the specified index.
get(int) - Method in class cern.colt.list.AbstractBooleanList
Returns the element at the specified position in the receiver.
get(int) - Method in class cern.colt.list.AbstractByteList
Returns the element at the specified position in the receiver.
get(int) - Method in class cern.colt.list.AbstractCharList
Returns the element at the specified position in the receiver.
get(int) - Method in class cern.colt.list.AbstractDoubleList
Returns the element at the specified position in the receiver.
get(int) - Method in class cern.colt.list.AbstractFloatList
Returns the element at the specified position in the receiver.
get(int) - Method in class cern.colt.list.AbstractIntList
Returns the element at the specified position in the receiver.
get(int) - Method in class cern.colt.list.AbstractLongList
Returns the element at the specified position in the receiver.
get(int) - Method in class cern.colt.list.AbstractShortList
Returns the element at the specified position in the receiver.
get(int) - Method in class cern.colt.list.adapter.DoubleListAdapter
Returns the element at the specified position in this list.
get(int) - Method in class cern.colt.list.adapter.FloatListAdapter
Returns the element at the specified position in this list.
get(int) - Method in class cern.colt.list.adapter.IntListAdapter
Returns the element at the specified position in this list.
get(int) - Method in class cern.colt.list.adapter.LongListAdapter
Returns the element at the specified position in this list.
get(int) - Method in class cern.colt.list.adapter.ObjectListAdapter
Returns the element at the specified position in this list.
get(int) - Method in class cern.colt.list.BooleanArrayList
Returns the element at the specified position in the receiver.
get(int) - Method in class cern.colt.list.ByteArrayList
Returns the element at the specified position in the receiver.
get(int) - Method in class cern.colt.list.CharArrayList
Returns the element at the specified position in the receiver.
get(int) - Method in class cern.colt.list.DoubleArrayList
Returns the element at the specified position in the receiver.
get(int) - Method in class cern.colt.list.FloatArrayList
Returns the element at the specified position in the receiver.
get(int) - Method in class cern.colt.list.IntArrayList
Returns the element at the specified position in the receiver.
get(int) - Method in class cern.colt.list.LongArrayList
Returns the element at the specified position in the receiver.
get(int) - Method in class cern.colt.list.ObjectArrayList
Returns the element at the specified position in the receiver.
get(int) - Method in class cern.colt.list.ShortArrayList
Returns the element at the specified position in the receiver.
get(double) - Method in class cern.colt.map.AbstractDoubleIntMap
Returns the value associated with the specified key.
get(int) - Method in class cern.colt.map.AbstractIntDoubleMap
Returns the value associated with the specified key.
get(int) - Method in class cern.colt.map.AbstractIntIntMap
Returns the value associated with the specified key.
get(int) - Method in class cern.colt.map.AbstractIntObjectMap
Returns the value associated with the specified key.
get(long) - Method in class cern.colt.map.AbstractLongObjectMap
Returns the value associated with the specified key.
get(double) - Method in class cern.colt.map.OpenDoubleIntHashMap
Returns the value associated with the specified key.
get(int) - Method in class cern.colt.map.OpenIntDoubleHashMap
Returns the value associated with the specified key.
get(int) - Method in class cern.colt.map.OpenIntIntHashMap
Returns the value associated with the specified key.
get(int) - Method in class cern.colt.map.OpenIntObjectHashMap
Returns the value associated with the specified key.
get(long) - Method in class cern.colt.map.OpenLongObjectHashMap
Returns the value associated with the specified key.
get(int) - Method in class cern.colt.matrix.DoubleMatrix1D
Returns the matrix cell value at coordinate index.
get(int, int) - Method in class cern.colt.matrix.DoubleMatrix2D
Returns the matrix cell value at coordinate [row,column].
get(int, int, int) - Method in class cern.colt.matrix.DoubleMatrix3D
Returns the matrix cell value at coordinate [slice,row,column].
get(int) - Method in class cern.colt.matrix.ObjectMatrix1D
Returns the matrix cell value at coordinate index.
get(int, int) - Method in class cern.colt.matrix.ObjectMatrix2D
Returns the matrix cell value at coordinate [row,column].
get(int, int, int) - Method in class cern.colt.matrix.ObjectMatrix3D
Returns the matrix cell value at coordinate [slice,row,column].
get() - Method in class jhplot.H1D
Get JAIDA histogram
get() - Method in class jhplot.H2D
Get the JAIDA Histogram2D
Get - Class in jminhep.cluster
Some useful methods related to the clustering procedure
Get() - Constructor for class jminhep.cluster.Get
 
getAbsoluteAccuracy() - Method in interface org.apache.commons.math.analysis.UnivariateRealSolver
Get the actual absolute accuracy.
getAbsoluteAccuracy() - Method in class org.apache.commons.math.analysis.UnivariateRealSolverImpl
Get the actual absolute accuracy.
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
getAlternateInputData() - Method in class flanagan.math.FourierTransform
 
getAlternateWindowedInputData() - Method in class flanagan.math.FourierTransform
 
getAntiAlias() - Method in class jhplot.HPlot
Get antialiasing for the graphics of the current plot
getArgument() - Method in exception org.apache.commons.math.FunctionEvaluationException
Returns the function argument that caused this exception.
getArray() - Method in class jminhep.cluster.DataHolder
Get the data in form of Array
getArrayCopy() - Method in class flanagan.math.Matrix
 
getArrayList() - Method in class jminhep.cluster.DataHolder
Get all elements of the data holder in form of an ArrayList
getArrayPointer() - Method in class flanagan.math.Matrix
 
getArrayReference() - Method in class flanagan.math.Matrix
 
getArrayX() - Method in class jhplot.P1D
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.P1D
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
getAttribute(int) - Method in class jminhep.cluster.DataPoint
Returns the attribute of data point
getAuthor() - Static method in class jhplot.JHPlot
Get the author
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.FractionFormat
Get the set of locales for which complex formats are available.
getAxesColor() - Method in class jhplot.HPlot
Returns the actual color of the axes of the graph.
getAxesRatio() - Method in class jhplot.HPlot
Returns the current ratio between X- and Y-axes lengths.
getAxis() - Method in class jhplot.H1D
Get histogram axis
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.
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
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 an ArrayList of SummaryStatistics instances containing statistics describing the values in each of the bins.
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
 
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.
getBuildTime() - Static method in class cern.colt.Version
Returns the time this release was build; for example "Tue Apr 11 11:50:39 CEST 2000".
getBuildTime() - Static method in class jhplot.JHPlot
Get build date
getBuildVersion() - Static method in class cern.colt.Version
Returns the build version of this release.
getByte(int) - Method in class hep.aida.ref.tuple.AbstractTuple
 
getByteProperty(int) - Method in class hep.aida.ref.tuple.JELTupleProvider
 
getCanvasPanel() - Method in class jhplot.GHPanel
get JPanel for the main panel which keeps the central panel and all 4 margins
getCause() - Method in exception org.apache.commons.math.MathException
Gets the cause of this throwable.
getCdX() - Method in class jhplot.GHFrame
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
getCenters() - Method in class jminhep.cluster.Partition
Get cluster centers
getChar(int) - Method in class hep.aida.ref.tuple.AbstractTuple
 
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
getChiSquare() - Method in class flanagan.analysis.Regression
 
getchiSquareProb() - Method in class flanagan.analysis.Regression
 
getChiSquareTest() - Static method in class org.apache.commons.math.stat.inference.TestUtils
Return a (singleton) ChiSquareTest instance.
getClusterNumber() - Method in class jminhep.cluster.DataPoint
Returns the cluster to which the data point belongs
getCoeff() - Method in class flanagan.analysis.Regression
 
getCoefficients() - Method in class org.apache.commons.math.analysis.PolynomialFunction
Returns a copy of the coefficients array.
getCoeffSd() - Method in class flanagan.analysis.Regression
 
getCoeffVar() - Method in class flanagan.analysis.Regression
 
getColor() - Method in class jhplot.HLabel
 
getColor() - Method in class jhplot.shapes.HShape
Get a color of the primitive
getColumn(int) - Method in interface org.apache.commons.math.linear.BigMatrix
Returns the entries in column number col as an array.
getColumn(int) - Method in class org.apache.commons.math.linear.BigMatrixImpl
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.
getColumn(int) - Method in class org.apache.commons.math.linear.RealMatrixImpl
Returns the entries in column number col as an array.
getColumnAsDoubleArray(int) - Method in interface org.apache.commons.math.linear.BigMatrix
Returns the entries in column number col as an array of double values.
getColumnAsDoubleArray(int) - Method in class org.apache.commons.math.linear.BigMatrixImpl
Returns the entries in column number col as an array of double values.
getColumnDimension() - Method in interface org.apache.commons.math.linear.BigMatrix
Returns the number of columns in the matrix.
getColumnDimension() - Method in class org.apache.commons.math.linear.BigMatrixImpl
Returns the number of columns in the matrix.
getColumnDimension() - Method in interface org.apache.commons.math.linear.RealMatrix
Returns the number of columns in the matrix.
getColumnDimension() - Method in class org.apache.commons.math.linear.RealMatrixImpl
 
getColumnMatrix(int) - Method in interface org.apache.commons.math.linear.BigMatrix
Returns the entries in column number column as a column matrix.
getColumnMatrix(int) - Method in class org.apache.commons.math.linear.BigMatrixImpl
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.
getColumnMatrix(int) - Method in class org.apache.commons.math.linear.RealMatrixImpl
Returns the entries in column number column as a column matrix.
getCompactness() - Method in class jminhep.cluster.Partition
Get compactness of the cluster configurations
getComplexInputData() - Method in class flanagan.math.FourierTransform
 
getConfidence() - Method in class jhplot.regression.LRegression
Get confidence intervals for means
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.
getConvStatus() - Method in class flanagan.math.Maximisation
 
getConvStatus() - Method in class flanagan.math.Minimisation
 
getCopy() - Method in class jhplot.P1D
get a copy of the current holder
getCorrCoeffMatrix() - Method in class flanagan.analysis.Regression
 
getCorrelation() - Method in class flanagan.math.FourierTransform
 
getCorrelation() - Method in class jhplot.regression.LRegression
Get correlation coefficient
getCount(Object) - 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.
getCovMatrix() - Method in class flanagan.analysis.Regression
 
getCreatedBy() - Static method in class jhplot.JHPlot
Get JAVA version used to create
getCumFreq(Object) - 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
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).
getD() - Method in class cern.colt.matrix.linalg.EigenvalueDecomposition
Returns the block diagonal eigenvalue matrix, D.
getData() - Method in class jhplot.HPlot
Get the vector which keeps all the data
getData() - Method in class jhplot.VHolder
Return a Vector with the data (rows of the dimension obtained by calling dimen()).
getData() - Method in interface org.apache.commons.math.linear.BigMatrix
Returns matrix entries as a two-dimensional array.
getData() - Method in class org.apache.commons.math.linear.BigMatrixImpl
Returns matrix entries as a two-dimensional 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
Returns matrix entries as a two-dimensional array.
getDataArray() - Method in class jhplot.P1D
Return a DataArray container from JPlot
getDataAsDoubleArray() - Method in interface org.apache.commons.math.linear.BigMatrix
Returns matrix entries as a two-dimensional array.
getDataAsDoubleArray() - Method in class org.apache.commons.math.linear.BigMatrixImpl
Returns matrix entries as a two-dimensional array.
getDataLength() - Method in class jhplot.regression.LRegression
Get the size of the input data
getDataRef() - Method in class org.apache.commons.math.linear.BigMatrixImpl
Returns a reference to the underlying data array.
getDataRef() - Method in class org.apache.commons.math.linear.RealMatrixImpl
Returns a reference to the underlying data array.
getDataX() - Method in class jhplot.regression.LRegression
Get an array with X data
getDataY() - Method in class jhplot.regression.LRegression
Get an array with Y data
getDegFree() - Method in class flanagan.analysis.Regression
 
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 flanagan.analysis.Regression
 
getDeltaT() - Method in class flanagan.math.FourierTransform
 
getDenominator() - Method in class org.apache.commons.math.fraction.Fraction
Access the denominator.
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.FractionFormat
Access the denominator format.
getDeriv() - Method in class flanagan.interpolation.BiCubicSpline
 
getDeriv() - Method in class flanagan.interpolation.CubicSpline
 
getDeterminant() - Method in interface org.apache.commons.math.linear.BigMatrix
Returns the determinant of this matrix.
getDeterminant() - Method in class org.apache.commons.math.linear.BigMatrixImpl
Returns the determinant of this matrix.
getDeterminant() - Method in interface org.apache.commons.math.linear.RealMatrix
Returns the determinant of this matrix.
getDeterminant() - Method in class org.apache.commons.math.linear.RealMatrixImpl
 
getDimension(String) - Static method in class hep.aida.ref.function.PolynomialCoreNotNorm
 
getDimension() - Method in class jminhep.cluster.DataPoint
Get dimension of the point
getDimention() - Method in class jminhep.cluster.DataHolder
Get the dimension of the data
getDouble(int) - Method in class hep.aida.ref.tuple.AbstractTuple
 
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
getElement(int, int) - Method in class flanagan.math.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.DescriptiveStatisticsImpl
 
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
getElementCopy(int, int) - Method in class flanagan.math.Matrix
 
getElementPointer(int, int) - Method in class flanagan.math.Matrix
 
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.
getEmpiricalDistribution() - Method in class org.apache.commons.math.random.ValueServer
Getter for property empiricalDistribution.
getEndLength() - Method in class jhplot.shapes.Arrow
Get length of the ends
getEndWidth() - Method in class jhplot.shapes.Arrow
Get widths of the ends
getEntry(int, int) - Method in interface org.apache.commons.math.linear.BigMatrix
Returns the entry in the specified row and column.
getEntry(int, int) - Method in class org.apache.commons.math.linear.BigMatrixImpl
Returns the entry in the specified row and column.
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
Returns the entry in the specified row and column.
getEntryAsDouble(int, int) - Method in interface org.apache.commons.math.linear.BigMatrix
Returns the entry in the specified row and column as a double.
getEntryAsDouble(int, int) - Method in class org.apache.commons.math.linear.BigMatrixImpl
Returns the entry in the specified row and column as a double.
getError() - Method in class flanagan.analysis.ErrorProp
 
getExpansionFactor() - Method in class org.apache.commons.math.util.ResizableDoubleArray
The expansion factor controls the size of a new aray 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.
getFill() - Method in class jhplot.shapes.HShape
Is this primitive filled?
getFirstIndex() - Method in interface hep.aida.ref.tuple.FTupleEvent
 
getFirstIndex() - Method in class hep.aida.ref.tuple.TupleEvent
 
getFlags() - Method in class hep.aida.ref.event.TreeEvent
 
getFloat(int) - Method in class hep.aida.ref.tuple.AbstractTuple
 
getFloatProperty(int) - Method in class hep.aida.ref.tuple.JELTupleProvider
 
getFont() - Method in class jhplot.HLabel
Get the font
getFont() - Method in class jhplot.shapes.Text
Get the font
getFpmin() - Static method in class flanagan.analysis.Stat
 
getFrame() - Method in class jhplot.GHFrame
Get the main frame which keeps the components
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
 
getFunctionValueAccuracy() - Method in interface org.apache.commons.math.analysis.UnivariateRealSolver
Get the actual function value accuracy.
getFunctionValueAccuracy() - Method in class org.apache.commons.math.analysis.UnivariateRealSolverImpl
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
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.SummaryStatistics
Returns the geometric mean of the available values
getGeometricMean() - Method in class org.apache.commons.math.stat.descriptive.SummaryStatisticsImpl
Returns the geometric mean of the values that have been added.
getGFont() - Method in class jhplot.GHMargin
Get the font of the text
getGrad() - Method in class flanagan.analysis.Regression
 
getGraph() - Method in class jhplot.HGraph
Returns the current graph
getGraphLabel() - Method in class jhplot.HLabel
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
getGridColor() - Method in class jhplot.HPlot
Sets the color of the overall grid.
getH() - Method in class cern.colt.matrix.linalg.QRDecomposition
Returns the Householder vectors H.
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
 
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
 
getImagEigenvalues() - Method in class cern.colt.matrix.linalg.EigenvalueDecomposition
Returns the imaginary parts of the eigenvalues.
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.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.
getIncGammaMaxIter() - Static method in class flanagan.analysis.Stat
 
getIncGammaTol() - Static method in class flanagan.analysis.Stat
 
getIndexCopy() - Method in class flanagan.math.Matrix
 
getIndexPointer() - Method in class flanagan.math.Matrix
 
getIndexReference() - Method in class flanagan.math.Matrix
 
getInfo() - Static method in class jhplot.JHPlot
 
getInitialSeed() - Method in class flanagan.math.PsRandom
 
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.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.
getInt(int) - Method in class hep.aida.ref.tuple.AbstractTuple
 
getIntegralSum() - Method in class flanagan.integration.Integration
 
getIntercept() - Method in class jhplot.regression.LRegression
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.regression.LRegression
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).
getIntProperty(int) - Method in class hep.aida.ref.tuple.JELTupleProvider
 
getInversionCheck() - Method in class flanagan.analysis.Regression
 
getIterationCount() - Method in interface org.apache.commons.math.analysis.UnivariateRealSolver
Get the number of iterations in the last run of the solver.
getIterationCount() - Method in class org.apache.commons.math.analysis.UnivariateRealSolverImpl
Access the last iteration count.
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
getKayValue() - Method in class flanagan.analysis.Regression
 
getKnots() - Method in class org.apache.commons.math.analysis.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.
getL() - Method in class cern.colt.matrix.linalg.CholeskyDecomposition
Returns the triangular factor, L.
getL() - Method in class cern.colt.matrix.linalg.LUDecomposition
Returns the lower triangular factor, L.
getL() - Method in class cern.colt.matrix.linalg.LUDecompositionQuick
Returns the lower triangular factor, L.
getLanczosCoeff() - Static method in class flanagan.analysis.Stat
 
getLanczosGamma() - Static method in class flanagan.analysis.Stat
 
getLanczosN() - Static method in class flanagan.analysis.Stat
 
getLastIndex() - Method in interface hep.aida.ref.tuple.FTupleEvent
 
getLastIndex() - Method in class hep.aida.ref.tuple.TupleEvent
 
getLegend() - Method in class jhplot.DrawOptions
Returns true if this linestyle should draw the name in the legend of the graph, false otherwise
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.
getLegendSpacing() - Method in class jhplot.HPlot
Returns the vertical spacing, between each line of the legend.
getLinePars() - Method in class jhplot.P1D
get LinePars class which holds graphical attributes
getLinkPath() - Method in class hep.aida.ref.event.TreeEvent
 
getListenableGraph() - Method in class jhplot.HGraph
Returns the current Listenable Graph
getLock() - Method in class hep.aida.ref.tree.Tree
 
getLong(int) - Method in class hep.aida.ref.tuple.AbstractTuple
 
getLongFromTo(int, int) - Method in class cern.colt.bitvector.BitVector
Returns a long value representing bits of the receiver from index from to index to.
getLongFromTo(long[], int, int) - Static method in class cern.colt.bitvector.QuickBitVector
Returns a long value representing bits of a bitvector from index from to index to.
getLongProperty(int) - Method in class hep.aida.ref.tuple.JELTupleProvider
 
getLU() - Method in class cern.colt.matrix.linalg.LUDecompositionQuick
Returns a copy of the combined lower and upper triangular factor, LU.
getMajorVersion() - Static method in class cern.colt.Version
Returns the major version of this release.
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.
getMarginLeft() - Method in class jhplot.HPlot
Returns the distance between the left-border of the panel and the left Y-axis.
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.
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.
getMatrixCheck() - Method in class flanagan.math.Matrix
 
getMax() - Method in class jhplot.F1D
Get the maximum value in X
getMax() - Method in class jhplot.H1D
Get Maximum value of axis
getMax(int) - Method in class jhplot.P1D
Returns the maximum value in the range.
getMax() - Method in class jminhep.cluster.DataHolder
Get Max values of the data
getMax() - Method in class org.apache.commons.math.stat.descriptive.DescriptiveStatistics
Returns the maximum of the available values
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 available values
getMax() - Method in class org.apache.commons.math.stat.descriptive.SummaryStatisticsImpl
Returns the maximum of the values that have been added.
getMaxAbsoluteResidual() - Method in class jhplot.regression.LRegression
Get max absolute residual
getMaximalIterationCount() - Method in interface org.apache.commons.math.analysis.UnivariateRealSolver
Get the upper limit for the number of iterations.
getMaximalIterationCount() - Method in class org.apache.commons.math.analysis.UnivariateRealSolverImpl
Get the upper limit for the number of iterations.
getMaximum() - Method in class flanagan.math.Maximisation
 
getMaxNumberOfSubticsLog() - Method in class jhplot.HPlot
Returns the maximum number of subtics for log scale (default is 10).
getMaxOrderForSumOfPowers() - Method in class cern.hep.aida.bin.DynamicBin1D
Returns Integer.MAX_VALUE, the maximum order k for which sums of powers are retrievable.
getMaxOrderForSumOfPowers() - Method in class cern.hep.aida.bin.MightyStaticBin1D
Returns the maximum order k for which sums of powers are retrievable, as specified upon instance construction.
getMaxTest() - Method in class flanagan.math.Maximisation
 
getMaxValue(int) - Method in class jhplot.HPlot
Returns the maximum data value for the specified axis.
getMaxX() - Method in class jhplot.F2D
Get Max value in X
getMaxX() - Method in class jhplot.regression.LRegression
Get a maximum value for X
getMaxY() - Method in class jhplot.F2D
Get Max value in Y
getMaxY() - Method in class jhplot.regression.LRegression
Get maximum value in Y
getMColor() - Method in class jhplot.GHMargin
Get the text color
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.DescriptiveStatistics
Returns the arithmetic mean of the available values
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 arithmetic mean of the available values
getMean() - Method in class org.apache.commons.math.stat.descriptive.SummaryStatisticsImpl
Returns the mean of the values that have been added.
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.
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.
getMethodBinary() - Method in class flanagan.math.PsRandom
 
getMethodDecimal() - Method in class flanagan.math.PsRandom
 
getMFont() - Method in class jhplot.GHMargin
Get the font on this panel
getMicroVersion() - Static method in class cern.colt.Version
Returns the micro version of this release.
getMin() - Method in class jhplot.F1D
Get the minumum value in X
getMin() - Method in class jhplot.H1D
Get Minimum value of the axis
getMin(int) - Method in class jhplot.P1D
Returns the minimum value in the range.
getMin() - Method in class jminhep.cluster.DataHolder
Get Min values of the data holder
getMin() - Method in class org.apache.commons.math.stat.descriptive.DescriptiveStatistics
Returns the minimum of the available values
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 available values
getMin() - Method in class org.apache.commons.math.stat.descriptive.SummaryStatisticsImpl
Returns the minimum of the values that have been added.
getMinimum() - Method in class flanagan.math.Minimisation
 
getMinOrderForSumOfPowers() - Method in class cern.hep.aida.bin.DynamicBin1D
Returns Integer.MIN_VALUE, the minimum order k for which sums of powers are retrievable.
getMinOrderForSumOfPowers() - Method in class cern.hep.aida.bin.MightyStaticBin1D
Returns the minimum order k for which sums of powers are retrievable, as specified upon instance construction.
getMinorVersion() - Static method in class cern.colt.Version
Returns the minor version of this release.
getMinTest() - Method in class flanagan.analysis.Regression
 
getMinTest() - Method in class flanagan.math.Minimisation
 
getMinValue(int) - Method in class jhplot.HPlot
Returns the minimum data value for the specified axis.
getMinX() - Method in class jhplot.F2D
Get Min value in X
getMinX() - Method in class jhplot.regression.LRegression
Get a minimum value for X
getMinY() - Method in class jhplot.F2D
Get Min value in Y
getMinY() - Method in class jhplot.regression.LRegression
Get minimum value for Y
getMode() - Method in class org.apache.commons.math.random.ValueServer
Getter for property mode.
getMSE() - Method in class jhplot.regression.LRegression
Get MSE value
getMu() - Method in class org.apache.commons.math.random.ValueServer
Getter for property mu.
getMultipleF() - Method in class flanagan.analysis.Regression
 
getN() - Method in class org.apache.commons.math.analysis.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.descriptive.DescriptiveStatistics
Returns the number of available values
getN() - Method in class org.apache.commons.math.stat.descriptive.DescriptiveStatisticsImpl
 
getN() - Method in class org.apache.commons.math.stat.descriptive.moment.FirstMoment
 
getN() - Method in class org.apache.commons.math.stat.descriptive.moment.GeometricMean
 
getN() - Method in class org.apache.commons.math.stat.descriptive.moment.Kurtosis
 
getN() - Method in class org.apache.commons.math.stat.descriptive.moment.Mean
 
getN() - Method in class org.apache.commons.math.stat.descriptive.moment.Skewness
 
getN() - Method in class org.apache.commons.math.stat.descriptive.moment.StandardDeviation
 
getN() - Method in class org.apache.commons.math.stat.descriptive.moment.Variance
 
getN() - Method in class org.apache.commons.math.stat.descriptive.rank.Max
 
getN() - Method in class org.apache.commons.math.stat.descriptive.rank.Min
 
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
 
getN() - Method in class org.apache.commons.math.stat.descriptive.summary.Sum
 
getN() - Method in class org.apache.commons.math.stat.descriptive.summary.SumOfLogs
 
getN() - Method in class org.apache.commons.math.stat.descriptive.summary.SumOfSquares
 
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.SummaryStatisticsImpl
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 jhplot.F1D
Get the name of the function used for evaluation
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
getNames() - Method in class jhplot.VHolder
Return Vector with the names
getNameX() - Method in class jhplot.DrawOptions
Get the name in X
getNameY() - Method in class jhplot.DrawOptions
Get the title in Y
getNameZ() - Method in class jhplot.DrawOptions
Get the title for Z axis
getNclusters() - Method in class jminhep.cluster.Partition
get number of reconstructed clusters
getNcol() - Method in class flanagan.math.Matrix
 
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.
getNiter() - Method in class flanagan.analysis.Regression
 
getNiter() - Method in class flanagan.math.Maximisation
 
getNiter() - Method in class flanagan.math.Minimisation
 
getNlrStatus() - Method in class flanagan.analysis.Regression
 
getNmax() - Method in class flanagan.analysis.Regression
 
getNmax() - Method in class flanagan.math.Maximisation
 
getNmax() - Method in class flanagan.math.Minimisation
 
getNMcontract() - Method in class flanagan.analysis.Regression
 
getNMcontract() - Method in class flanagan.math.Maximisation
 
getNMcontract() - Method in class flanagan.math.Minimisation
 
getNMextend() - Method in class flanagan.analysis.Regression
 
getNMextend() - Method in class flanagan.math.Maximisation
 
getNMextend() - Method in class flanagan.math.Minimisation
 
getNMreflect() - Method in class flanagan.analysis.Regression
 
getNMreflect() - Method in class flanagan.math.Maximisation
 
getNMreflect() - Method in class flanagan.math.Minimisation
 
getNonZeros(IntArrayList, DoubleArrayList) - Method in class cern.colt.matrix.DoubleMatrix1D
Fills the coordinates and values of cells having non-zero values into the specified lists.
getNonZeros(IntArrayList, DoubleArrayList, int) - Method in class cern.colt.matrix.DoubleMatrix1D
Fills the coordinates and values of cells having non-zero values into the specified lists.
getNonZeros(IntArrayList, IntArrayList, DoubleArrayList) - Method in class cern.colt.matrix.DoubleMatrix2D
Fills the coordinates and values of cells having non-zero values into the specified lists.
getNonZeros(IntArrayList, IntArrayList, IntArrayList, DoubleArrayList) - Method in class cern.colt.matrix.DoubleMatrix3D
Fills the coordinates and values of cells having non-zero values into the specified lists.
getNonZeros(IntArrayList, ObjectArrayList) - Method in class cern.colt.matrix.ObjectMatrix1D
Fills the coordinates and values of cells having non-zero values into the specified lists.
getNonZeros(IntArrayList, IntArrayList, ObjectArrayList) - Method in class cern.colt.matrix.ObjectMatrix2D
Fills the coordinates and values of cells having non-zero values into the specified lists.
getNonZeros(IntArrayList, IntArrayList, IntArrayList, ObjectArrayList) - Method in class cern.colt.matrix.ObjectMatrix3D
Fills the coordinates and values of cells having non-zero values into the specified lists.
getNorm() - Method in interface org.apache.commons.math.linear.BigMatrix
Returns the maximum absolute row sum norm of the matrix.
getNorm() - Method in class org.apache.commons.math.linear.BigMatrixImpl
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 class org.apache.commons.math.linear.RealMatrixImpl
 
getNrestarts() - Method in class flanagan.analysis.Regression
 
getNrestarts() - Method in class flanagan.math.Maximisation
 
getNrestarts() - Method in class flanagan.math.Minimisation
 
getNrestartsMax() - Method in class flanagan.analysis.Regression
 
getNrestartsMax() - Method in class flanagan.math.Maximisation
 
getNrestartsMax() - Method in class flanagan.math.Minimisation
 
getNrow() - Method in class flanagan.math.Matrix
 
getNtotX() - Method in class jhplot.GHFrame
Get the total number of the graphs in X
getNtotY() - Method in class jhplot.GHFrame
Get the total number of the graphs in Y
getNumberOfPsdPoints() - Method in class flanagan.math.FourierTransform
 
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.
getNumberOfTics(int) - Method in class jhplot.HPlot
Returns the number of tics for the specfied axis.
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.
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.Fraction
Access the numerator.
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.FractionFormat
Access the numerator format.
getObject(int) - Method in class hep.aida.ref.tuple.AbstractTuple
 
getObservable() - Method in class hep.aida.ref.event.ObserverAdapter
 
getOldPath() - Method in class hep.aida.ref.event.TreeEvent
 
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
 
getOriginalDataLength() - Method in class flanagan.math.FourierTransform
 
getOverlapOption() - Method in class flanagan.math.FourierTransform
 
getPanelSize() - Method in class jhplot.HPlot
Returns the dimensions of the panel used to display the graph.
getParamValues() - Method in class flanagan.math.Maximisation
 
getParamValues() - Method in class flanagan.math.Minimisation
 
getPath() - Method in class hep.aida.ref.event.TreeEvent
 
getPct(Object) - 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).
getPearsonR() - Method in class jhplot.regression.LRegression
Get pearson R
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.
getPicture() - Method in class jhplot.shapes.Picture
Get the image
getPivot() - Method in class cern.colt.matrix.linalg.LUDecomposition
Returns a copy of the pivot permutation vector.
getPivot() - Method in class cern.colt.matrix.linalg.LUDecompositionQuick
Returns the pivot permutation vector (not a copy of it).
getPlotLineOption() - Method in class flanagan.math.FourierTransform
 
getPlotPointOption() - Method in class flanagan.math.FourierTransform
 
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 jminhep.cluster.Partition
Get number of points accosiated with clusters
getPolynomials() - Method in class org.apache.commons.math.analysis.PolynomialSplineFunction
Returns a copy of the interpolating polynomials array.
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.
getPosition() - Method in class jhplot.shapes.HShape
Get position of a primitive
getPositionCoordinate() - Method in class jhplot.HLabel
Is the position set?
getPositionCoordinate() - Method in class jhplot.shapes.HShape
Is the position set?
getPosVarCheck() - Method in class flanagan.analysis.Regression
 
getpowerSpectrumEstimate() - Method in class flanagan.math.FourierTransform
 
getPrediction() - Method in class jhplot.regression.LRegression
Get prediction lines
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.
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.
getPseudoSd() - Method in class flanagan.analysis.Regression
 
getQ() - Method in class cern.colt.matrix.linalg.QRDecomposition
Generates and returns the (economy-sized) orthogonal factor Q.
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).
getQuick(int, int) - Method in class cern.colt.bitvector.BitMatrix
Returns from the receiver the value of the bit at the specified coordinate; WARNING: Does not check preconditions.
getQuick(int) - Method in class cern.colt.bitvector.BitVector
Returns from the bitvector the value of the bit with the specified index; WARNING: Does not check preconditions.
getQuick(int) - Method in class cern.colt.list.BooleanArrayList
Returns the element at the specified position in the receiver; WARNING: Does not check preconditions.
getQuick(int) - Method in class cern.colt.list.ByteArrayList
Returns the element at the specified position in the receiver; WARNING: Does not check preconditions.
getQuick(int) - Method in class cern.colt.list.CharArrayList
Returns the element at the specified position in the receiver; WARNING: Does not check preconditions.
getQuick(int) - Method in class cern.colt.list.DistinctNumberList
Returns the element at the specified position in the receiver; WARNING: Does not check preconditions.
getQuick(int) - Method in class cern.colt.list.DoubleArrayList
Returns the element at the specified position in the receiver; WARNING: Does not check preconditions.
getQuick(int) - Method in class cern.colt.list.FloatArrayList
Returns the element at the specified position in the receiver; WARNING: Does not check preconditions.
getQuick(int) - Method in class cern.colt.list.IntArrayList
Returns the element at the specified position in the receiver; WARNING: Does not check preconditions.
getQuick(int) - Method in class cern.colt.list.LongArrayList
Returns the element at the specified position in the receiver; WARNING: Does not check preconditions.
getQuick(int) - Method in class cern.colt.list.MinMaxNumberList
Returns the element at the specified position in the receiver; WARNING: Does not check preconditions.
getQuick(int) - Method in class cern.colt.list.ObjectArrayList
Returns the element at the specified position in the receiver; WARNING: Does not check preconditions.
getQuick(int) - Method in class cern.colt.list.ShortArrayList
Returns the element at the specified position in the receiver; WARNING: Does not check preconditions.
getQuick(int) - Method in class cern.colt.matrix.DoubleMatrix1D
Returns the matrix cell value at coordinate index.
getQuick(int, int) - Method in class cern.colt.matrix.DoubleMatrix2D
Returns the matrix cell value at coordinate [row,column].
getQuick(int, int, int) - Method in class cern.colt.matrix.DoubleMatrix3D
Returns the matrix cell value at coordinate [slice,row,column].
getQuick(int) - Method in class cern.colt.matrix.impl.DenseDoubleMatrix1D
Returns the matrix cell value at coordinate index.
getQuick(int, int) - Method in class cern.colt.matrix.impl.DenseDoubleMatrix2D
Returns the matrix cell value at coordinate [row,column].
getQuick(int, int, int) - Method in class cern.colt.matrix.impl.DenseDoubleMatrix3D
Returns the matrix cell value at coordinate [slice,row,column].
getQuick(int) - Method in class cern.colt.matrix.impl.DenseObjectMatrix1D
Returns the matrix cell value at coordinate index.
getQuick(int, int) - Method in class cern.colt.matrix.impl.DenseObjectMatrix2D
Returns the matrix cell value at coordinate [row,column].
getQuick(int, int, int) - Method in class cern.colt.matrix.impl.DenseObjectMatrix3D
Returns the matrix cell value at coordinate [slice,row,column].
getQuick(int, int) - Method in class cern.colt.matrix.impl.RCDoubleMatrix2D
Returns the matrix cell value at coordinate [row,column].
getQuick(int) - Method in class cern.colt.matrix.impl.SparseDoubleMatrix1D
Returns the matrix cell value at coordinate index.
getQuick(int, int) - Method in class cern.colt.matrix.impl.SparseDoubleMatrix2D
Returns the matrix cell value at coordinate [row,column].
getQuick(int, int, int) - Method in class cern.colt.matrix.impl.SparseDoubleMatrix3D
Returns the matrix cell value at coordinate [slice,row,column].
getQuick(int) - Method in class cern.colt.matrix.impl.SparseObjectMatrix1D
Returns the matrix cell value at coordinate index.
getQuick(int, int) - Method in class cern.colt.matrix.impl.SparseObjectMatrix2D
Returns the matrix cell value at coordinate [row,column].
getQuick(int, int, int) - Method in class cern.colt.matrix.impl.SparseObjectMatrix3D
Returns the matrix cell value at coordinate [slice,row,column].
getQuick(int) - Method in class cern.colt.matrix.ObjectMatrix1D
Returns the matrix cell value at coordinate index.
getQuick(int, int) - Method in class cern.colt.matrix.ObjectMatrix2D
Returns the matrix cell value at coordinate [row,column].
getQuick(int, int, int) - Method in class cern.colt.matrix.ObjectMatrix3D
Returns the matrix cell value at coordinate [slice,row,column].
getR() - Method in class cern.colt.matrix.linalg.QRDecomposition
Returns the upper triangular factor, R.
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
getRandomGenerator() - Method in class cern.jet.random.sampling.RandomSamplingAssistant
Returns the used random generator.
getRangeSet() - Method in class hep.aida.ref.function.BaseModelFunction
 
getRaw(int) - Method in class jminhep.cluster.DataHolder
Get DataPoint at the position n
getReal() - Method in class org.apache.commons.math.complex.Complex
Access the real part.
getRealEigenvalues() - Method in class cern.colt.matrix.linalg.EigenvalueDecomposition
Returns the real parts of the eigenvalues.
getRealFormat() - Method in class org.apache.commons.math.complex.ComplexFormat
Access the realFormat.
getReducedChiSquare() - Method in class flanagan.analysis.Regression
 
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.
getRelativeAccuracy() - Method in interface org.apache.commons.math.analysis.UnivariateRealSolver
Get the actual relative accuracy.
getRelativeAccuracy() - Method in class org.apache.commons.math.analysis.UnivariateRealSolverImpl
Get the actual relative accuracy.
getResiduals() - Method in class flanagan.analysis.Regression
 
getResiduals() - Method in class jhplot.regression.LRegression
Get residuals
getResult() - Method in class jhplot.regression.LRegression
Get the linear regression result
getResult() - Method in interface org.apache.commons.math.analysis.UnivariateRealSolver
Get the result of the last run of the solver.
getResult() - Method in class org.apache.commons.math.analysis.UnivariateRealSolverImpl
Access the last computed root.
getResult() - Method in class org.apache.commons.math.stat.descriptive.AbstractStorelessUnivariateStatistic
 
getResult() - Method in class org.apache.commons.math.stat.descriptive.moment.FirstMoment
 
getResult() - Method in class org.apache.commons.math.stat.descriptive.moment.FourthMoment
 
getResult() - Method in class org.apache.commons.math.stat.descriptive.moment.GeometricMean
 
getResult() - Method in class org.apache.commons.math.stat.descriptive.moment.Kurtosis
 
getResult() - Method in class org.apache.commons.math.stat.descriptive.moment.Mean
 
getResult() - Method in class org.apache.commons.math.stat.descriptive.moment.SecondMoment
 
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
 
getResult() - Method in class org.apache.commons.math.stat.descriptive.moment.ThirdMoment
 
getResult() - Method in class org.apache.commons.math.stat.descriptive.moment.Variance
 
getResult() - Method in class org.apache.commons.math.stat.descriptive.rank.Max
 
getResult() - Method in class org.apache.commons.math.stat.descriptive.rank.Min
 
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
 
getResult() - Method in class org.apache.commons.math.stat.descriptive.summary.Sum
 
getResult() - Method in class org.apache.commons.math.stat.descriptive.summary.SumOfLogs
 
getResult() - Method in class org.apache.commons.math.stat.descriptive.summary.SumOfSquares
 
getRotation() - Method in class jhplot.GHMargin
Get the rotation angle of the text in degrees.
getRotation() - Method in class jhplot.HLabel
Returns the rotation angle.
getRotation() - Method in class jhplot.shapes.Text
Get the rotation angle
getRoundingMode() - Method in interface org.apache.commons.math.linear.BigMatrix
Gets the rounding mode
getRoundingMode() - Method in class org.apache.commons.math.linear.BigMatrixImpl
Gets the rounding mode for division operations The default is BigDecimal.ROUND_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 interface org.apache.commons.math.linear.BigMatrix
Returns the entries in row number row as an array.
getRow(int) - Method in class org.apache.commons.math.linear.BigMatrixImpl
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.
getRow(int) - Method in class org.apache.commons.math.linear.RealMatrixImpl
Returns the entries in row number row as an array.
getRowAsDoubleArray(int) - Method in interface org.apache.commons.math.linear.BigMatrix
Returns the entries in row number row as an array of double values.
getRowAsDoubleArray(int) - Method in class org.apache.commons.math.linear.BigMatrixImpl
Returns the entries in row number row as an array of double values.
getRowDimension() - Method in interface org.apache.commons.math.linear.BigMatrix
Returns the number of rows in the matrix.
getRowDimension() - Method in class org.apache.commons.math.linear.BigMatrixImpl
Returns the number of rows in the matrix.
getRowDimension() - Method in interface org.apache.commons.math.linear.RealMatrix
Returns the number of rows in the matrix.
getRowDimension() - Method in class org.apache.commons.math.linear.RealMatrixImpl
 
getRowMatrix(int) - Method in interface org.apache.commons.math.linear.BigMatrix
Returns the entries in row number row as a row matrix.
getRowMatrix(int) - Method in class org.apache.commons.math.linear.BigMatrixImpl
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.
getRowMatrix(int) - Method in class org.apache.commons.math.linear.RealMatrixImpl
Returns the entries in row number row as a row matrix.
getRSquare() - Method in class org.apache.commons.math.stat.regression.SimpleRegression
Returns the coefficient of determination, usually denoted r-square.
getS() - Method in class cern.colt.matrix.linalg.SingularValueDecomposition
Returns the diagonal matrix of singular values.
getSampleR() - Method in class flanagan.analysis.Regression
 
getSampleR2() - Method in class flanagan.analysis.Regression
 
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 flanagan.analysis.Regression
 
getScale() - Method in class flanagan.math.Maximisation
 
getScale() - Method in class flanagan.math.Minimisation
 
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
Sets the scale for division operations.
getScaledPosition(double, double) - Method in class jhplot.shapes.HShape
Scale the positions
getSeed() - Method in class flanagan.math.PsRandom
 
getSeedAtRowColumn(int, int) - Static method in class cern.jet.random.engine.RandomSeedTable
Returns a deterministic seed from a (seemingly gigantic) matrix of predefined seeds.
getSeeds() - Method in class jminhep.cluster.Partition
Get seeds
getSegmentLength() - Method in class flanagan.math.FourierTransform
 
getSegmentNumber() - Method in class flanagan.math.FourierTransform
 
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.
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
 
getShortTimeNumberOfFrequencies() - Method in class flanagan.math.FourierTransform
 
getShortTimeNumberOfTimes() - Method in class flanagan.math.FourierTransform
 
getShortTimeWindowLength() - Method in class flanagan.math.FourierTransform
 
getSigma() - Method in class org.apache.commons.math.random.ValueServer
Getter for property sigma.
getSignificance() - Method in class org.apache.commons.math.stat.regression.SimpleRegression
Returns the significance level of the slope (equiv) correlation.
getSimplexSd() - Method in class flanagan.analysis.Regression
 
getSimplexSd() - Method in class flanagan.math.Maximisation
 
getSimplexSd() - Method in class flanagan.math.Minimisation
 
getSingularValues() - Method in class cern.colt.matrix.linalg.SingularValueDecomposition
Returns the diagonal of S, which is a one-dimensional array of singular values
getSize() - Method in class jminhep.cluster.DataHolder
Get size of the data holder
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)
getSizeY() - Method in class jhplot.GHMargin
Get the size of this margin in Y
getSizeY() - Method in class jhplot.GHPanel
Get the hight of the main panel which keeps all margins and the central panel (in pixels)
getSkewness() - Method in class org.apache.commons.math.stat.descriptive.DescriptiveStatistics
Returns the skewness of the available values.
getSlope() - Method in class jhplot.regression.LRegression
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.regression.LRegression
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).
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
 
getSSE() - Method in class jhplot.regression.LRegression
Get SSE value
getSSR() - Method in class jhplot.regression.LRegression
Ger SSR value
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.DescriptiveStatistics
Returns the standard deviation of the available values.
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 available values.
getStandardDeviation() - Method in class org.apache.commons.math.stat.descriptive.SummaryStatisticsImpl
Returns the standard deviation of the values that have been added.
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 hight
getStringProperty(int) - Method in class hep.aida.ref.tuple.JELTupleProvider
 
getStroke() - Method in class jhplot.shapes.HShape
Get the Stroke to a specific value
getSubMatrix(int, int, int, int) - Method in class flanagan.math.Matrix
 
getSubMatrix(int[], int[]) - Method in class flanagan.math.Matrix
 
getSubMatrix(int, int, int, int) - Method in interface org.apache.commons.math.linear.BigMatrix
Gets a submatrix.
getSubMatrix(int[], int[]) - Method in interface org.apache.commons.math.linear.BigMatrix
Gets a submatrix.
getSubMatrix(int, int, int, int) - Method in class org.apache.commons.math.linear.BigMatrixImpl
Gets a submatrix.
getSubMatrix(int[], int[]) - Method in class org.apache.commons.math.linear.BigMatrixImpl
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.
getSubMatrix(int, int, int, int) - Method in class org.apache.commons.math.linear.RealMatrixImpl
Gets a submatrix.
getSubMatrix(int[], int[]) - Method in class org.apache.commons.math.linear.RealMatrixImpl
Gets a submatrix.
getSubTicLength(int) - Method in class jhplot.HPlot
Returns the length of the subtics.
getSubTicNumber(int) - Method in class jhplot.HPlot
Get the number of subtics for a given axis
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 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 to Univariate.
getSum() - Method in class org.apache.commons.math.stat.descriptive.SummaryStatisticsImpl
Returns the sum of the values that have been added to Univariate.
getSumFreq() - Method in class org.apache.commons.math.stat.Frequency
Returns the sum of all frequencies.
getSummary() - Method in class org.apache.commons.math.stat.descriptive.SummaryStatistics
Return a StatisticalSummaryValues instance reporting current statistics.
getSumOfSquares() - Method in class flanagan.analysis.Regression
 
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.SummaryStatistics
Returns the sum of the squares of the available values.
getSumsq() - Method in class org.apache.commons.math.stat.descriptive.SummaryStatisticsImpl
Returns the sum of the squares of the values that have been added.
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.regression.LRegression
Get sun of the square
getSwap() - Method in class flanagan.math.Matrix
 
getSxx() - Method in class jhplot.regression.LRegression
Get Sxx value: sumXsquared - sumX * sumX / n
getSys(P1D[]) - Method in class jhplot.P1D
Return P1D array which contains 2nd level errors (or systematical errors) evaluated from an array of P1D data holders.
getSyy() - Method in class jhplot.regression.LRegression
Get SYY value: sumYsquared - sumY * sumY / n
getText() - Method in class jhplot.HLabel
 
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
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
getTicColor(int) - Method in class jhplot.HPlot
Returns the color used by the labels drawn at each tic.
getTicFont(int) - Method in class jhplot.HPlot
Returns the font used by the labels drawn at each tic.
getTicLength(int) - Method in class jhplot.HPlot
Returns the length of the tics.
getTicsMirror(int) - Method in class jhplot.HPlot
Returns whether or not we should draw tics on the mirror axis.
getTicsRotate(int) - Method in class jhplot.HPlot
Returns whether or not we should rotate the tics.
getTimeFrequencyMatrix() - Method in class flanagan.math.FourierTransform
 
getTitle() - Method in class jhplot.DrawOptions
Get the title
getTitle() - Method in class jhplot.F1D
Get the title
getTitle() - Method in class jhplot.F2D
Get the title
getTitle() - Method in class jhplot.H1D
get Title of the histogram
getTitle() - Method in class jhplot.P1D
Get a new title
getTitle() - Method in class jhplot.VHolder
Get title of the container
getTolerance() - Method in class flanagan.analysis.Regression
 
getTolerance() - Method in class flanagan.math.Maximisation
 
getTolerance() - Method in class flanagan.math.Minimisation
 
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 interface org.apache.commons.math.linear.BigMatrix
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
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).
getTrace() - Method in class org.apache.commons.math.linear.RealMatrixImpl
 
getTransformedDataAsAlternate() - Method in class flanagan.math.FourierTransform
 
getTransformedDataAsComplex() - Method in class flanagan.math.FourierTransform
 
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.shapes.HShape
Get the transperancy level
getTrapAccuracy() - Static method in class flanagan.integration.Integration
 
getTrapeziumAccuracy() - Method in class flanagan.integration.Integration
 
getTrapeziumIntervals() - Method in class flanagan.integration.Integration
 
getTrapIntervals() - Static method in class flanagan.integration.Integration
 
getTree() - Method in class hep.aida.ref.tree.MountPoint
 
getTrueFreq() - Method in class flanagan.analysis.Regression
 
getTTest() - Static method in class org.apache.commons.math.stat.inference.TestUtils
Return a (singleton) TTest instance.
getTuple(int) - Method in class hep.aida.ref.tuple.AbstractTuple
 
getTuple() - Method in class hep.aida.ref.tuple.JELTupleProvider
 
getType() - Method in class hep.aida.ref.event.TreeEvent
 
getType() - Method in class jhplot.DrawOptions
Get the type of the 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 cern.colt.matrix.linalg.LUDecomposition
Returns the upper triangular factor, U.
getU() - Method in class cern.colt.matrix.linalg.LUDecompositionQuick
Returns the upper triangular factor, U.
getU() - Method in class cern.colt.matrix.linalg.SingularValueDecomposition
Returns the left singular vectors U.
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.
getUsedDataLength() - Method in class flanagan.math.FourierTransform
 
getV() - Method in class cern.colt.matrix.linalg.EigenvalueDecomposition
Returns the eigenvector matrix, V
getV() - Method in class cern.colt.matrix.linalg.SingularValueDecomposition
Returns the right singular vectors V.
getValue() - Method in class flanagan.analysis.ErrorProp
 
getValueAt(int, int) - Method in class jhplot.SPsheet
This method returns the cell object at those coordinates.
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.DescriptiveStatisticsImpl
 
getValues() - Method in class org.apache.commons.math.util.ResizableDoubleArray
Returns the internal storage array.
getValuesFileURL() - Method in class org.apache.commons.math.random.ValueServer
Getter for valuesFileURL
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 available values.
getVariance() - Method in class org.apache.commons.math.stat.descriptive.SummaryStatisticsImpl
Returns the variance of the values that have been added.
getVersion() - Static method in class jhplot.JHPlot
Get version information
getWeight() - Method in class cern.jet.random.sampling.WeightedRandomSampler
Not yet commented.
getWeightedResiduals() - Method in class flanagan.analysis.Regression
 
getWeights() - Method in class flanagan.math.FourierTransform
 
getWhoAm() - Method in class jhplot.shapes.HShape
Primitive type
getWholeFormat() - Method in class org.apache.commons.math.fraction.ProperFractionFormat
Access the whole format.
getWindowOption() - Method in class flanagan.math.FourierTransform
 
getWindowSize() - Method in class org.apache.commons.math.stat.descriptive.DescriptiveStatistics
Univariate has the ability to return only measures for the last N elements added to the set of values.
getWindowSize() - Method in class org.apache.commons.math.stat.descriptive.DescriptiveStatisticsImpl
Access the window size.
getX(int) - Method in class jhplot.F1D
get value in X
getX() - Method in class jhplot.HLabel
Returns the X position of the text.
getX(int) - Method in class jhplot.P1D
Return a specific X-value.
getXBar() - Method in class jhplot.regression.LRegression
Get average x
getXdata() - Method in class flanagan.analysis.Regression
 
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 (systematical error).
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 (systematical error).
getY(int) - Method in class jhplot.F1D
get value in Y
getY() - Method in class jhplot.HLabel
Returns the Y position of the text.
getY(int) - Method in class jhplot.P1D
Return a specific Y-value.
getYBar() - Method in class jhplot.regression.LRegression
Get average Y
getYcalc() - Method in class flanagan.analysis.Regression
 
getYdata() - Method in class flanagan.analysis.Regression
 
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.
getYscale() - Method in class flanagan.analysis.Regression
 
getYscaleOption() - Method in class flanagan.analysis.Regression
 
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.
GeV - Static variable in class cern.clhep.Units
 
GHFrame - Class in jhplot
class to create main Farme with a 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 It uses 10% of the space from the top for the global title
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 which keeps the global panel with graphics.
GHPanel(int, int) - Constructor for class jhplot.GHPanel
Create a panel with graphics.
gigaelectronvolt - Static variable in class cern.clhep.Units
 
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
 
gram - Static variable in class cern.clhep.Units
 
gramToOunce(double) - Static method in class flanagan.math.Fmath
 
graph(Graphics) - Method in class flanagan.math.FourierTransform
 
gray - Static variable in class cern.clhep.Units
 
greater(DoubleMatrix2D, double) - Static method in class cern.colt.matrix.doublealgo.Transform
Deprecated. A[row,col] = A[row,col] > s ? 1 : 0.
greater(DoubleMatrix2D, DoubleMatrix2D) - Static method in class cern.colt.matrix.doublealgo.Transform
Deprecated. A[row,col] = A[row,col] > B[row,col] ? 1 : 0.
greater - Static variable in class cern.jet.math.Functions
Function that returns a > b ? 1 : 0.
greater(double) - Static method in class cern.jet.math.Functions
Constructs a function that returns a > b ? 1 : 0.
Grid - Class in hep.aida.ref.function
 
Grid(IModelFunction) - Constructor for class hep.aida.ref.function.Grid
 
gumbelMax() - Method in class flanagan.analysis.Regression
 
gumbelMax(double, double, double) - Static method in class flanagan.analysis.Stat
 
gumbelMaxCDF(double, double, double) - Static method in class flanagan.analysis.Stat
 
gumbelMaxCDF(double, double, double, double) - Static method in class flanagan.analysis.Stat
 
gumbelMaxMean(double, double) - Static method in class flanagan.analysis.Stat
 
gumbelMaxMedian(double, double) - Static method in class flanagan.analysis.Stat
 
gumbelMaxMode(double, double) - Static method in class flanagan.analysis.Stat
 
gumbelMaxOnePar() - Method in class flanagan.analysis.Regression
 
gumbelMaxOneParPlot() - Method in class flanagan.analysis.Regression
 
gumbelMaxPDF(double, double, double) - Static method in class flanagan.analysis.Stat
 
gumbelMaxPlot() - Method in class flanagan.analysis.Regression
 
gumbelMaxProb(double, double, double) - Static method in class flanagan.analysis.Stat
 
gumbelMaxProb(double, double, double, double) - Static method in class flanagan.analysis.Stat
 
gumbelMaxRand(double, double, int) - Static method in class flanagan.analysis.Stat
 
gumbelMaxRand(double, double, int, long) - Static method in class flanagan.analysis.Stat
 
gumbelMaxStandard() - Method in class flanagan.analysis.Regression
 
gumbelMaxStandardPlot() - Method in class flanagan.analysis.Regression
 
gumbelMaxStandDev(double) - Static method in class flanagan.analysis.Stat
 
gumbelMin() - Method in class flanagan.analysis.Regression
 
gumbelMin(double, double, double) - Static method in class flanagan.analysis.Stat
 
gumbelMinCDF(double, double, double, double) - Static method in class flanagan.analysis.Stat
 
gumbelMinMean(double, double) - Static method in class flanagan.analysis.Stat
 
gumbelMinMedian(double, double) - Static method in class flanagan.analysis.Stat
 
gumbelMinMode(double, double) - Static method in class flanagan.analysis.Stat
 
gumbelMinOnePar() - Method in class flanagan.analysis.Regression
 
gumbelMinOneParPlot() - Method in class flanagan.analysis.Regression
 
gumbelMinPDF(double, double, double) - Static method in class flanagan.analysis.Stat
 
gumbelMinPlot() - Method in class flanagan.analysis.Regression
 
gumbelMinProb(double, double, double) - Static method in class flanagan.analysis.Stat
 
gumbelMinProb(double, double, double, double) - Static method in class flanagan.analysis.Stat
 
gumbelMinProbCDF(double, double, double) - Static method in class flanagan.analysis.Stat
 
gumbelMinRand(double, double, int) - Static method in class flanagan.analysis.Stat
 
gumbelMinRand(double, double, int, long) - Static method in class flanagan.analysis.Stat
 
gumbelMinStandard() - Method in class flanagan.analysis.Regression
 
gumbelMinStandardPlot() - Method in class flanagan.analysis.Regression
 
gumbelMinStandDev(double) - Static method in class flanagan.analysis.Stat
 

H

H1D - Class in jhplot
Class to create a histogram in one dimension.
H1D(String, int, double, double) - Constructor for class jhplot.H1D
Creat 1D histogram
H1D(String, double[]) - Constructor for class jhplot.H1D
Creat 1D histogram with variable bin size
H1D(Histogram1D) - Constructor for class jhplot.H1D
Create H1D histogram from JAIDA Histogram1D class
H1D(IHistogram1D) - Constructor for class jhplot.H1D
Create H1D histogram from JAIDA IHistogram1D class
H1D(TH1) - Constructor for class jhplot.H1D
Create H1D histogram from JAIDA TH1 histogram class
H2D - Class in jhplot
Main class to creat 2D histogram.
H2D(String, int, double, double, int, double, double) - Constructor for class jhplot.H2D
Create 2D histogram
H2D(Histogram2D) - Constructor for class jhplot.H2D
Create a H2D histogram from JAIDA histogram
h_Planck - Static variable in class cern.clhep.PhysicalConstants
 
H_PLANCK - Static variable in class flanagan.math.Fmath
 
H_PLANCK_RED - Static variable in class flanagan.math.Fmath
 
halfpi - Static variable in class cern.clhep.PhysicalConstants
 
harmonicMean() - Method in class cern.hep.aida.bin.MightyStaticBin1D
Returns the harmonic mean, which is size() / Sum( 1/x[i] ).
harmonicMean(int, double) - Static method in class cern.jet.stat.Descriptive
Returns the harmonic mean of a data sequence.
harmonicMean(double[]) - Static method in class flanagan.analysis.Stat
 
harmonicMean(float[]) - Static method in class flanagan.analysis.Stat
 
harmonicMean(double[], double[]) - Static method in class flanagan.analysis.Stat
 
harmonicMean(float[], float[]) - Static method in class flanagan.analysis.Stat
 
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
 
HasFTuple - Interface in hep.aida.ref.tuple
 
hasFullRank() - Method in class cern.colt.matrix.linalg.QRDecomposition
Returns whether the matrix A has full rank.
hash(char) - Static method in class cern.colt.map.HashFunctions
Returns a hashcode for the specified value.
hash(double) - Static method in class cern.colt.map.HashFunctions
Returns a hashcode for the specified value.
hash(float) - Static method in class cern.colt.map.HashFunctions
Returns a hashcode for the specified value.
hash(int) - Static method in class cern.colt.map.HashFunctions
Returns a hashcode for the specified value.
hash(long) - Static method in class cern.colt.map.HashFunctions
Returns a hashcode for the specified value.
hash(Object) - Static method in class cern.colt.map.HashFunctions
Returns a hashcode for the specified object.
hash(short) - Static method in class cern.colt.map.HashFunctions
Returns a hashcode for the specified value.
hash(boolean) - Static method in class cern.colt.map.HashFunctions
Returns a hashcode for the specified value.
hash(double) - Static method in class org.apache.commons.math.util.MathUtils
Returns an integer hash code representing the given double value.
hashCode() - Method in class cern.colt.bitvector.BitMatrix
Returns a hash code value for the receiver.
hashCode() - Method in class cern.colt.bitvector.BitVector
Returns a hash code value for the receiver.
hashCode() - Method in class flanagan.analysis.ErrorProp
 
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.fraction.Fraction
Gets a hashCode for the fraction.
hashCode() - Method in class org.apache.commons.math.linear.BigMatrixImpl
Computes a hashcode for the matrix.
hashCode() - Method in class org.apache.commons.math.linear.RealMatrixImpl
Computes a hashcode for the matrix.
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.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
HashFunctions - Class in cern.colt.map
Provides various hash functions.
hasKey(String) - Method in class hep.aida.ref.Annotation
 
hasStore() - Method in class hep.aida.ref.tree.Tree
 
hasSumOfInversions() - Method in class cern.hep.aida.bin.MightyStaticBin1D
Returns whether sumOfInversions() can return meaningful results.
hasSumOfLogarithms() - Method in class cern.hep.aida.bin.MightyStaticBin1D
Tells whether sumOfLogarithms() can return meaningful results.
hasSumOfPowers(int) - Method in class cern.hep.aida.bin.MightyStaticBin1D
Tells whether sumOfPowers(k) can return meaningful results.
hav(double) - Static method in class flanagan.math.Fmath
 
hbar_Planck - Static variable in class cern.clhep.PhysicalConstants
 
hbarc - Static variable in class cern.clhep.PhysicalConstants
 
hbarc_squared - Static variable in class cern.clhep.PhysicalConstants
 
HChart - Class in jhplot
Create various charts based on jFreeChart package
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"
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
 
henry - Static variable in class cern.clhep.Units
 
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.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
 
hep_pascal - Static variable in class cern.clhep.Units
 
hertz - Static variable in class cern.clhep.Units
 
HGraph - Class in jhplot
Create a frame with interactive graphs
HGraph(String, int, int, int, int, boolean) - Constructor for class jhplot.HGraph
Create HPlot canvas with a sevela 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"
histF() - Method in class jhplot.HPlot
Return IHistogramFactory associated with the plot
histogram(IHistogram1D, DoubleMatrix1D) - Static method in class cern.colt.matrix.doublealgo.Statistic
Fills all cells of the given vector into the given histogram.
histogram(IHistogram2D, DoubleMatrix1D, DoubleMatrix1D) - Static method in class cern.colt.matrix.doublealgo.Statistic
Fills all cells of the given vectors into the given histogram.
histogram(IHistogram2D, DoubleMatrix1D, DoubleMatrix1D, DoubleMatrix1D) - Static method in class cern.colt.matrix.doublealgo.Statistic
Fills all cells of the given vectors into the given histogram.
histogram(IHistogram3D, DoubleMatrix1D, DoubleMatrix1D, DoubleMatrix1D, DoubleMatrix1D) - Static method in class cern.colt.matrix.doublealgo.Statistic
Fills all cells of the given vectors into the given histogram.
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
 
Histogram1D - Class in cern.hep.aida.ref
A reference implementation of hep.aida.IHistogram1D.
Histogram1D(String, double[]) - Constructor for class cern.hep.aida.ref.Histogram1D
Creates a variable-width histogram.
Histogram1D(String, int, double, double) - Constructor for class cern.hep.aida.ref.Histogram1D
Creates a fixed-width histogram.
Histogram1D(String, IAxis) - Constructor for class cern.hep.aida.ref.Histogram1D
Creates a histogram with the given axis binning.
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 cern.hep.aida.ref
A reference implementation of hep.aida.IHistogram2D.
Histogram2D(String, double[], double[]) - Constructor for class cern.hep.aida.ref.Histogram2D
Creates a variable-width histogram.
Histogram2D(String, int, double, double, int, double, double) - Constructor for class cern.hep.aida.ref.Histogram2D
Creates a fixed-width histogram.
Histogram2D(String, IAxis, IAxis) - Constructor for class cern.hep.aida.ref.Histogram2D
Creates a histogram with the given axis binning.
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 cern.hep.aida.ref
A reference implementation of hep.aida.IHistogram3D.
Histogram3D(String, double[], double[], double[]) - Constructor for class cern.hep.aida.ref.Histogram3D
Creates a variable-width histogram.
Histogram3D(String, int, double, double, int, double, double, int, double, double) - Constructor for class cern.hep.aida.ref.Histogram3D
Creates a fixed-width histogram.
Histogram3D(String, IAxis, IAxis, IAxis) - Constructor for class cern.hep.aida.ref.Histogram3D
Creates a histogram with the given axis binning.
Histogram3D - Class in hep.aida.ref.histogram
 
Histogram3D() - Constructor for class hep.aida.ref.histogram.Histogram3D
Create a 3-dimensional Histogram.
histogramBins(double[], double, double, double) - Static method in class flanagan.analysis.Regression
 
histogramBins(double[], double, double) - Static method in class flanagan.analysis.Regression
 
histogramBins(double[], double) - Static method in class flanagan.analysis.Regression
 
histogramBins(double[], double, double, double) - Static method in class flanagan.analysis.Stat
 
histogramBins(double[], double, double) - Static method in class flanagan.analysis.Stat
 
histogramBins(double[], double) - Static method in class flanagan.analysis.Stat
 
histogramBinsPlot(double[], double, double, double) - Static method in class flanagan.analysis.Stat
 
histogramBinsPlot(double[], double, double, double, String) - Static method in class flanagan.analysis.Stat
 
histogramBinsPlot(double[], double, double) - Static method in class flanagan.analysis.Stat
 
histogramBinsPlot(double[], double, double, String) - Static method in class flanagan.analysis.Stat
 
histogramBinsPlot(double[], double) - Static method in class flanagan.analysis.Stat
 
histogramBinsPlot(double[], double, String) - Static method in class flanagan.analysis.Stat
 
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
 
HLabel - Class in jhplot
Create an interactive Label in the USER or NDC coordinates.
HLabel(String, Font, Color) - Constructor for class jhplot.HLabel
Make label
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.
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.
HPlot - Class in jhplot
HPlot class to create a 2D canvas with a several plots.
HPlot(String, int, int, int, int, boolean) - Constructor for class jhplot.HPlot
Create HPlot canvas with a sevela graphs
HPlot(String, int, int, int, int) - Constructor for class jhplot.HPlot
Create HPlot canvas with a sevela graphs
HPlot(String, int, int) - Constructor for class jhplot.HPlot
Construct a HPlot canvas with a single plot/graph
HPlot(String, int, int, boolean) - Constructor for class jhplot.HPlot
Construct a HPlot canvas with a single plot/graph
HPlot(String) - Constructor for class jhplot.HPlot
Construct a HPlot canvas with a plot with the default parameters 600 by 400, and 10% space for the global title
HPlot() - Constructor for class jhplot.HPlot
Construct a HPlot canvas with a plot with the default parameters 600 by 400, and 10% space for the global title "Default"
HPlot3D - Class in jhplot
This is a main canvas class to display histograms and functions in 3D.
HPlot3D(String, int, int) - Constructor for class jhplot.HPlot3D
Create a HPlot3D canvas
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(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(P1D) - Constructor for class jhplot.HTable
Build a table frame to display P1D 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
Hyperbolic - Class in cern.jet.random
Hyperbolic distribution.
Hyperbolic(double, double, RandomEngine) - Constructor for class cern.jet.random.Hyperbolic
Constructs a Beta distribution.
HyperGeometric - Class in cern.jet.random
HyperGeometric distribution; See the math definition The hypergeometric distribution with parameters N, n and s is the probability distribution of the random variable X, whose value is the number of successes in a sample of n items from a population of size N that has s 'success' items and N - s 'failure' items.
HyperGeometric(int, int, int, RandomEngine) - Constructor for class cern.jet.random.HyperGeometric
Constructs a HyperGeometric distribution.
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(ErrorProp, ErrorProp, double) - Static method in class flanagan.analysis.ErrorProp
 
hypot(ErrorProp, ErrorProp) - Static method in class flanagan.analysis.ErrorProp
 
hypot(double, double) - Static method in class flanagan.math.Fmath
 
hypot(float, float) - Static method in class flanagan.math.Fmath
 

I

I - Static variable in class org.apache.commons.math.complex.Complex
The square root of -1.
i0(double) - Static method in class cern.jet.math.Bessel
Returns the modified Bessel function of order 0 of the argument.
i0e(double) - Static method in class cern.jet.math.Bessel
Returns the exponentially scaled modified Bessel function of order 0 of the argument.
i1(double) - Static method in class cern.jet.math.Bessel
Returns the modified Bessel function of order 1 of the argument.
i1e(double) - Static method in class cern.jet.math.Bessel
Returns the exponentially scaled modified Bessel function of order 1 of the argument.
idamax(DoubleMatrix1D) - Method in interface cern.colt.matrix.linalg.Blas
Returns the index of largest absolute value; i such that |x[i]| == max(|x[0]|,|x[1]|,...)..
idamax(DoubleMatrix1D) - Method in class cern.colt.matrix.linalg.SeqBlas
 
idamax(DoubleMatrix1D) - Method in class cern.colt.matrix.linalg.SmpBlas
 
identity(int) - Method in class cern.colt.matrix.DoubleFactory2D
Constructs an identity matrix (having ones on the diagonal and zeros elsewhere).
identity - Static variable in class cern.jet.math.Functions
Function that returns its argument.
identity - Static variable in class cern.jet.math.IntFunctions
Function that returns its argument.
identityMatrix(int) - Static method in class flanagan.math.Matrix
 
IEEEremainder - Static variable in class cern.jet.math.Functions
Function that returns Math.IEEEremainder(a,b).
IEEEremainder(double) - Static method in class cern.jet.math.Functions
Constructs a function that returns Math.IEEEremainder(a,b).
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
 
IMAGE - Static variable in class jhplot.shapes.HShape
 
inc - Static variable in class cern.jet.math.IntFunctions
Function that returns a++.
inchToMillimetre(double) - Static method in class flanagan.math.Fmath
 
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
 
incompleteBeta(double, double, double) - Static method in class cern.jet.stat.Gamma
Returns the Incomplete Beta Function evaluated from zero to xx; formerly named ibeta.
incompleteBeta(double, double, double) - Static method in class flanagan.analysis.Stat
 
incompleteGamma(double, double) - Static method in class cern.jet.stat.Gamma
Returns the Incomplete Gamma function; formerly named igamma.
incompleteGamma(double, double) - Static method in class flanagan.analysis.Stat
 
incompleteGammaComplement(double, double) - Static method in class cern.jet.stat.Gamma
Returns the Complemented Incomplete Gamma function; formerly named igamc.
incompleteGammaComplementary(double, double) - Static method in class flanagan.analysis.Stat
 
incompleteGammaFract(double, double) - Static method in class flanagan.analysis.Stat
 
incompleteGammaSer(double, double) - Static method in class flanagan.analysis.Stat
 
increment(double) - Method in class org.apache.commons.math.stat.descriptive.AbstractStorelessUnivariateStatistic
 
increment(double) - Method in class org.apache.commons.math.stat.descriptive.moment.FirstMoment
 
increment(double) - Method in class org.apache.commons.math.stat.descriptive.moment.FourthMoment
 
increment(double) - Method in class org.apache.commons.math.stat.descriptive.moment.GeometricMean
 
increment(double) - Method in class org.apache.commons.math.stat.descriptive.moment.Kurtosis
 
increment(double) - Method in class org.apache.commons.math.stat.descriptive.moment.Mean
 
increment(double) - Method in class org.apache.commons.math.stat.descriptive.moment.SecondMoment
 
increment(double) - Method in class org.apache.commons.math.stat.descriptive.moment.Skewness
 
increment(double) - Method in class org.apache.commons.math.stat.descriptive.moment.StandardDeviation
 
increment(double) - Method in class org.apache.commons.math.stat.descriptive.moment.ThirdMoment
 
increment(double) - Method in class org.apache.commons.math.stat.descriptive.moment.Variance
 
increment(double) - Method in class org.apache.commons.math.stat.descriptive.rank.Max
 
increment(double) - Method in class org.apache.commons.math.stat.descriptive.rank.Min
 
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
 
increment(double) - Method in class org.apache.commons.math.stat.descriptive.summary.Sum
 
increment(double) - Method in class org.apache.commons.math.stat.descriptive.summary.SumOfLogs
 
increment(double) - Method in class org.apache.commons.math.stat.descriptive.summary.SumOfSquares
 
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.
incrementalUpdate(DoubleArrayList, int, int, double[]) - Static method in class cern.jet.stat.Descriptive
Incrementally maintains and updates minimum, maximum, sum and sum of squares of a data sequence.
incrementalUpdateSumsOfPowers(DoubleArrayList, int, int, int, int, double[]) - Static method in class cern.jet.stat.Descriptive
Incrementally maintains and updates various sums of powers of the form Sum(data[i]k).
incrementalWeightedUpdate(DoubleArrayList, DoubleArrayList, int, int, double[]) - Static method in class cern.jet.stat.Descriptive
Incrementally maintains and updates sum and sum of squares of a weighted data sequence.
indexOf(boolean) - Method in class cern.colt.list.AbstractBooleanList
Returns the index of the first occurrence of the specified element.
indexOf(byte) - Method in class cern.colt.list.AbstractByteList
Returns the index of the first occurrence of the specified element.
indexOf(char) - Method in class cern.colt.list.AbstractCharList
Returns the index of the first occurrence of the specified element.
indexOf(double) - Method in class cern.colt.list.AbstractDoubleList
Returns the index of the first occurrence of the specified element.
indexOf(float) - Method in class cern.colt.list.AbstractFloatList
Returns the index of the first occurrence of the specified element.
indexOf(int) - Method in class cern.colt.list.AbstractIntList
Returns the index of the first occurrence of the specified element.
indexOf(long) - Method in class cern.colt.list.AbstractLongList
Returns the index of the first occurrence of the specified element.
indexOf(short) - Method in class cern.colt.list.AbstractShortList
Returns the index of the first occurrence of the specified element.
indexOf(Object, boolean) - Method in class cern.colt.list.ObjectArrayList
Returns the index of the first occurrence of the specified element.
indexOfFromTo(int, int, boolean) - Method in class cern.colt.bitvector.BitVector
Returns the index of the first occurrence of the specified state.
indexOfFromTo(boolean, int, int) - Method in class cern.colt.list.AbstractBooleanList
Returns the index of the first occurrence of the specified element.
indexOfFromTo(byte, int, int) - Method in class cern.colt.list.AbstractByteList
Returns the index of the first occurrence of the specified element.
indexOfFromTo(char, int, int) - Method in class cern.colt.list.AbstractCharList
Returns the index of the first occurrence of the specified element.
indexOfFromTo(double, int, int) - Method in class cern.colt.list.AbstractDoubleList
Returns the index of the first occurrence of the specified element.
indexOfFromTo(float, int, int) - Method in class cern.colt.list.AbstractFloatList
Returns the index of the first occurrence of the specified element.
indexOfFromTo(int, int, int) - Method in class cern.colt.list.AbstractIntList
Returns the index of the first occurrence of the specified element.
indexOfFromTo(long, int, int) - Method in class cern.colt.list.AbstractLongList
Returns the index of the first occurrence of the specified element.
indexOfFromTo(short, int, int) - Method in class cern.colt.list.AbstractShortList
Returns the index of the first occurrence of the specified element.
indexOfFromTo(boolean, int, int) - Method in class cern.colt.list.BooleanArrayList
Returns the index of the first occurrence of the specified element.
indexOfFromTo(byte, int, int) - Method in class cern.colt.list.ByteArrayList
Returns the index of the first occurrence of the specified element.
indexOfFromTo(char, int, int) - Method in class cern.colt.list.CharArrayList
Returns the index of the first occurrence of the specified element.
indexOfFromTo(double, int, int) - Method in class cern.colt.list.DoubleArrayList
Returns the index of the first occurrence of the specified element.
indexOfFromTo(float, int, int) - Method in class cern.colt.list.FloatArrayList
Returns the index of the first occurrence of the specified element.
indexOfFromTo(int, int, int) - Method in class cern.colt.list.IntArrayList
Returns the index of the first occurrence of the specified element.
indexOfFromTo(long, int, int) - Method in class cern.colt.list.LongArrayList
Returns the index of the first occurrence of the specified element.
indexOfFromTo(Object, int, int, boolean) - Method in class cern.colt.list.ObjectArrayList
Returns the index of the first occurrence of the specified element.
indexOfFromTo(short, int, int) - Method in class cern.colt.list.ShortArrayList
Returns the index of the first occurrence of the specified element.
indexOfFunction(IFunction) - Method in class hep.aida.ref.function.SumOfFunctions
 
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.
INFINITE_WINDOW - Static variable in class org.apache.commons.math.stat.descriptive.DescriptiveStatistics
This constant signals that a Univariate implementation takes into account the contributions of an infinite number of elements.
infinityCheck(double, int) - Method in class flanagan.analysis.Regression
 
infinityNorm() - Method in class flanagan.math.Matrix
 
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() - Static method in class jhplot.JHPlot
Initialisation.
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
 
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
 
IntArrayList - Class in cern.colt.list
Resizable list holding int elements; implemented with arrays.
IntArrayList() - Constructor for class cern.colt.list.IntArrayList
Constructs an empty list.
IntArrayList(int[]) - Constructor for class cern.colt.list.IntArrayList
Constructs a list containing the specified elements.
IntArrayList(int) - Constructor for class cern.colt.list.IntArrayList
Constructs an empty list with the specified initial capacity.
IntBuffer - Class in cern.colt.buffer
Fixed sized (non resizable) streaming buffer connected to a target IntBufferConsumer to which data is automatically flushed upon buffer overflow.
IntBuffer(IntBufferConsumer, int) - Constructor for class cern.colt.buffer.IntBuffer
Constructs and returns a new buffer with the given target.
IntBuffer2D - Class in cern.colt.buffer
Fixed sized (non resizable) streaming buffer connected to a target IntBuffer2DConsumer to which data is automatically flushed upon buffer overflow.
IntBuffer2D(IntBuffer2DConsumer, int) - Constructor for class cern.colt.buffer.IntBuffer2D
Constructs and returns a new buffer with the given target.
IntBuffer2DConsumer - Interface in cern.colt.buffer
Target of a streaming IntBuffer2D into which data is flushed upon buffer overflow.
IntBuffer3D - Class in cern.colt.buffer
Fixed sized (non resizable) streaming buffer connected to a target IntBuffer3DConsumer to which data is automatically flushed upon buffer overflow.
IntBuffer3D(IntBuffer3DConsumer, int) - Constructor for class cern.colt.buffer.IntBuffer3D
Constructs and returns a new buffer with the given target.
IntBuffer3DConsumer - Interface in cern.colt.buffer
Target of a streaming IntBuffer3D into which data is flushed upon buffer overflow.
IntBufferConsumer - Interface in cern.colt.buffer
Target of a streaming IntBuffer into which data is flushed upon buffer overflow.
IntComparator - Interface in cern.colt.function
A comparison function which imposes a total ordering on some collection of elements.
IntDoubleFunction - Interface in cern.colt.function
Interface that represents a function object: a function that takes two arguments.
IntDoubleProcedure - Interface in cern.colt.function
Interface that represents a procedure object: a procedure that takes two arguments and does not return a value.
IntegerDistribution - Interface in org.apache.commons.math.distribution
Interface for discrete distributions of integer-valued random variables.
IntegralFunction - Interface in flanagan.integration
 
integralMC(IModelFunction) - Static method in class hep.aida.ref.function.FunctionIntegrator
 
integralSimpson(IModelFunction) - Static method in class hep.aida.ref.function.FunctionIntegrator
 
integralSum - Variable in class flanagan.integration.Integration
 
integralTrapezoid(IModelFunction) - Static method in class hep.aida.ref.function.FunctionIntegrator
 
integralVegasMC(IModelFunction) - Static method in class hep.aida.ref.function.FunctionIntegrator
 
Integration - Class in flanagan.integration
 
Integration() - Constructor for class flanagan.integration.Integration
 
Integration(IntegralFunction) - Constructor for class flanagan.integration.Integration
 
Integration(IntegralFunction, double, double) - Constructor for class flanagan.integration.Integration
 
interpolate(double, double) - Method in class flanagan.interpolation.BiCubicSpline
 
interpolate(double) - Method in class flanagan.interpolation.CubicSpline
 
interpolate(double, double[], double[], double[]) - Static method in class flanagan.interpolation.CubicSpline
 
interpolate(double[]) - Method in class flanagan.interpolation.PolyCubicSpline
 
interpolate(double, double, double) - Method in class flanagan.interpolation.TriCubicSpline
 
interpolate(double[], double[]) - Method in class org.apache.commons.math.analysis.SplineInterpolator
Computes an interpolating function for the data set.
interpolate(double[], double[]) - Method in interface org.apache.commons.math.analysis.UnivariateRealInterpolator
Computes an interpolating function for the data set.
interQuartileMean(double[]) - Static method in class flanagan.analysis.Stat
 
interQuartileMean(float[]) - Static method in class flanagan.analysis.Stat
 
IntFunction - Interface in cern.colt.function
Interface that represents a function object: a function that takes a single argument and returns a single value.
IntFunctions - Class in cern.jet.math
Integer Function objects to be passed to generic methods.
intFunctions - Static variable in class cern.jet.math.IntFunctions
Little trick to allow for "aliasing", that is, renaming this class.
IntIntDoubleFunction - Interface in cern.colt.function
Interface that represents a function object: a function that takes three arguments.
IntIntDoubleProcedure - Interface in cern.colt.function
Interface that represents a procedure object: a procedure that takes three arguments and does not return a value.
IntIntFunction - Interface in cern.colt.function
Interface that represents a function object: a function that takes two arguments and returns a single value.
IntIntIntProcedure - Interface in cern.colt.function
Interface that represents a procedure object: a procedure that takes three arguments and does not return a value.
IntIntProcedure - Interface in cern.colt.function
Interface that represents a procedure object: a procedure that takes two arguments and does not return a value.
IntListAdapter - Class in cern.colt.list.adapter
Adapter that permits an AbstractIntList to be viewed and treated as a JDK 1.2 AbstractList.
IntListAdapter(AbstractIntList) - Constructor for class cern.colt.list.adapter.IntListAdapter
Constructs a list backed by the specified content list.
IntObjectProcedure - Interface in cern.colt.function
Interface that represents a procedure object: a procedure that takes two arguments and does not return a value.
IntProcedure - Interface in cern.colt.function
Interface that represents a procedure object: a procedure that takes a single argument and does not return a value.
intTOdouble(int[]) - Static method in class flanagan.math.Fmath
 
intTOfloat(int[]) - Static method in class flanagan.math.Fmath
 
intTOlong(int[]) - Static method in class flanagan.math.Fmath
 
intValue() - Method in class org.apache.commons.math.fraction.Fraction
Gets the fraction as an int.
inv - Static variable in class cern.jet.math.Functions
Function that returns 1.0 / a.
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() - Constructor for exception org.apache.commons.math.linear.InvalidMatrixException
Default constructor.
InvalidMatrixException(String) - Constructor for exception org.apache.commons.math.linear.InvalidMatrixException
Construct an exception with the given message.
inverse(DoubleMatrix2D) - Method in class cern.colt.matrix.linalg.Algebra
Returns the inverse or pseudo-inverse of matrix A.
inverse() - Method in class flanagan.analysis.ErrorProp
 
inverse(ErrorProp) - Static method in class flanagan.analysis.ErrorProp
 
inverse() - Method in class flanagan.math.FourierTransform
 
inverse() - Method in class flanagan.math.Matrix
 
inverse(Matrix) - Static method in class flanagan.math.Matrix
 
inverse() - Method in interface org.apache.commons.math.linear.BigMatrix
Returns the inverse of this matrix.
inverse() - Method in class org.apache.commons.math.linear.BigMatrixImpl
Returns the inverse matrix if this matrix is invertible.
inverse() - Method in interface org.apache.commons.math.linear.RealMatrix
Returns the inverse of this matrix.
inverse() - Method in class org.apache.commons.math.linear.RealMatrixImpl
Returns the inverse matrix if this matrix is invertible.
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.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 disbution, 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.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.
isBetween(double, double) - Static method in class cern.jet.math.Functions
Constructs a function that returns from<=a && a<=to.
isBetween(int, int) - Static method in class cern.jet.math.IntFunctions
Constructs a function that returns from<=a && a<=to.
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
 
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
 
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?
isDiagonal(DoubleMatrix2D) - Method in class cern.colt.matrix.linalg.Property
A matrix A is diagonal if A[i,j] == 0 whenever i != j.
isDiagonallyDominantByColumn(DoubleMatrix2D) - Method in class cern.colt.matrix.linalg.Property
A matrix A is diagonally dominant by column if the absolute value of each diagonal element is larger than the sum of the absolute values of the off-diagonal elements in the corresponding column.
isDiagonallyDominantByRow(DoubleMatrix2D) - Method in class cern.colt.matrix.linalg.Property
A matrix A is diagonally dominant by row if the absolute value of each diagonal element is larger than the sum of the absolute values of the off-diagonal elements in the corresponding row.
isEmpty() - Method in class cern.colt.list.AbstractCollection
Tests if the receiver has no elements.
isEmpty() - Method in class cern.colt.map.AbstractMap
Returns true if the receiver contains no (key,value) associations.
isEqual - Static variable in class cern.jet.math.Functions
Function that returns a == b.
isEqual(double) - Static method in class cern.jet.math.Functions
Constructs a function that returns a == b.
isEqual - Static variable in class cern.jet.math.IntFunctions
Function that returns a == b.
isEqual(int) - Static method in class cern.jet.math.IntFunctions
Constructs a function that returns a == b.
isEqual(double, double) - Static method in class flanagan.math.Fmath
 
isEqual(float, float) - Static method in class flanagan.math.Fmath
 
isEqual(int, int) - Static method in class flanagan.math.Fmath
 
isEqual(char, char) - Static method in class flanagan.math.Fmath
 
isEqual(String, String) - Static method in class flanagan.math.Fmath
 
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
 
isEven(int) - Static method in class flanagan.math.Fmath
 
isEven(float) - Static method in class flanagan.math.Fmath
 
isEven(double) - Static method in class flanagan.math.Fmath
 
isFillable() - Method in class hep.aida.ref.Annotation
 
isFillable() - Method in class hep.aida.ref.ManagedObject
 
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
 
isGreater - Static variable in class cern.jet.math.Functions
Function that returns a > b.
isGreater(double) - Static method in class cern.jet.math.Functions
Constructs a function that returns a > b.
isGreater - Static variable in class cern.jet.math.IntFunctions
Function that returns a > b.
isGreater(int) - Static method in class cern.jet.math.IntFunctions
Constructs a function that returns a > b.
isIdentity(DoubleMatrix2D) - Method in class cern.colt.matrix.linalg.Property
A matrix A is an identity matrix if A[i,i] == 1 and all other cells are zero.
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.
isInfinity(double) - Static method in class flanagan.math.Fmath
 
isInfinity(float) - Static method in class flanagan.math.Fmath
 
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
 
isLess - Static variable in class cern.jet.math.Functions
Function that returns a < b.
isLess(double) - Static method in class cern.jet.math.Functions
Constructs a function that returns a < b.
isLess - Static variable in class cern.jet.math.IntFunctions
Function that returns a < b.
isLess(int) - Static method in class cern.jet.math.IntFunctions
Constructs a function that returns a < b.
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.
isLowerBidiagonal(DoubleMatrix2D) - Method in class cern.colt.matrix.linalg.Property
A matrix A is lower bidiagonal if A[i,j]==0 unless i==j || i==j+1.
isLowerTriangular(DoubleMatrix2D) - Method in class cern.colt.matrix.linalg.Property
A matrix A is lower triangular if A[i,j]==0 whenever i < j.
isMinusInfinity(double) - Static method in class flanagan.math.Fmath
 
isMinusInfinity(float) - Static method in class flanagan.math.Fmath
 
isNaN(double) - Static method in class flanagan.math.Fmath
 
isNaN(float) - Static method in class flanagan.math.Fmath
 
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
isNonNegative(DoubleMatrix2D) - Method in class cern.colt.matrix.linalg.Property
A matrix A is non-negative if A[i,j] >= 0 holds for all cells.
isNonsingular() - Method in class cern.colt.matrix.linalg.LUDecomposition
Returns whether the matrix is nonsingular (has an inverse).
isNonsingular() - Method in class cern.colt.matrix.linalg.LUDecompositionQuick
Returns whether the matrix is nonsingular (has an inverse).
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.
isOdd(int) - Static method in class flanagan.math.Fmath
 
isOdd(float) - Static method in class flanagan.math.Fmath
 
isOdd(double) - Static method in class flanagan.math.Fmath
 
isOrthogonal(DoubleMatrix2D) - Method in class cern.colt.matrix.linalg.Property
A square matrix A is orthogonal if A*transpose(A) = I.
isPathInDir(String, String) - Static method in class hep.aida.ref.AidaUtils
 
isPlusInfinity(double) - Static method in class flanagan.math.Fmath
 
isPlusInfinity(float) - Static method in class flanagan.math.Fmath
 
isPositive(DoubleMatrix2D) - Method in class cern.colt.matrix.linalg.Property
A matrix A is positive if A[i,j] > 0 holds for all cells.
isReadOnly() - Method in class hep.aida.ref.tree.Tree
 
isRebinnable() - Method in class cern.hep.aida.bin.AbstractBin
Returns whether a client can obtain all elements added to the receiver.
isRebinnable() - Method in class cern.hep.aida.bin.DynamicBin1D
Returns true.
isRebinnable() - Method in class cern.hep.aida.bin.StaticBin1D
Returns false.
isSingular(DoubleMatrix2D) - Method in class cern.colt.matrix.linalg.Property
A matrix A is singular if it has no inverse, that is, iff det(A)==0.
isSingular() - Method in interface org.apache.commons.math.linear.BigMatrix
Is this a singular matrix?
isSingular() - Method in class org.apache.commons.math.linear.BigMatrixImpl
Is this a singular matrix?
isSingular() - Method in interface org.apache.commons.math.linear.RealMatrix
Is this a singular matrix?
isSingular() - Method in class org.apache.commons.math.linear.RealMatrixImpl
 
isSkewSymmetric(DoubleMatrix2D) - Method in class cern.colt.matrix.linalg.Property
A square matrix A is skew-symmetric if A = -transpose(A), that is A[i,j] == -A[j,i].
isSortedFromTo(int, int) - Method in class cern.colt.list.ObjectArrayList
Determines whether the receiver is sorted ascending, according to the natural ordering of its elements.
isSquare(DoubleMatrix2D) - Method in class cern.colt.matrix.linalg.Property
A matrix A is square if it has the same number of rows and columns.
isSquare() - Method in interface org.apache.commons.math.linear.BigMatrix
Is this a square matrix?
isSquare() - Method in class org.apache.commons.math.linear.BigMatrixImpl
Is this a square matrix?
isSquare() - Method in interface org.apache.commons.math.linear.RealMatrix
Is this a square matrix?
isSquare() - Method in class org.apache.commons.math.linear.RealMatrixImpl
 
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.
isStrictlyLowerTriangular(DoubleMatrix2D) - Method in class cern.colt.matrix.linalg.Property
A matrix A is strictly lower triangular if A[i,j]==0 whenever i <= j.
isStrictlyTriangular(DoubleMatrix2D) - Method in class cern.colt.matrix.linalg.Property
A matrix A is strictly triangular if it is triangular and its diagonal elements all equal 0.
isStrictlyUpperTriangular(DoubleMatrix2D) - Method in class cern.colt.matrix.linalg.Property
A matrix A is strictly upper triangular if A[i,j]==0 whenever i >= j.
isSymmetric(DoubleMatrix2D) - Method in class cern.colt.matrix.linalg.Property
A matrix A is symmetric if A = tranpose(A), that is A[i,j] == A[j,i].
isSymmetricPositiveDefinite() - Method in class cern.colt.matrix.linalg.CholeskyDecomposition
Returns whether the matrix A is symmetric and positive definite.
isTriangular(DoubleMatrix2D) - Method in class cern.colt.matrix.linalg.Property
A matrix A is triangular iff it is either upper or lower triangular.
isTridiagonal(DoubleMatrix2D) - Method in class cern.colt.matrix.linalg.Property
A matrix A is tridiagonal if A[i,j]==0 whenever Math.abs(i-j) > 1.
isUnitTriangular(DoubleMatrix2D) - Method in class cern.colt.matrix.linalg.Property
A matrix A is unit triangular if it is triangular and its diagonal elements all equal 1.
isUpperBidiagonal(DoubleMatrix2D) - Method in class cern.colt.matrix.linalg.Property
A matrix A is upper bidiagonal if A[i,j]==0 unless i==j || i==j-1.
isUpperTriangular(DoubleMatrix2D) - Method in class cern.colt.matrix.linalg.Property
A matrix A is upper triangular if A[i,j]==0 whenever i > j.
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
 
isZero(DoubleMatrix2D) - Method in class cern.colt.matrix.linalg.Property
A matrix A is zero if all its cells are zero.

J

j0(double) - Static method in class cern.jet.math.Bessel
Returns the Bessel function of the first kind of order 0 of the argument.
j1(double) - Static method in class cern.jet.math.Bessel
Returns the Bessel function of the first kind of order 1 of the argument.
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 graphical package.
JHPlot - Class in jhplot
Show information about jHplot.
JHPlot() - Constructor for class jhplot.JHPlot
 
jhplot.regression - package jhplot.regression
jHepWork package for linear regression.
jhplot.root - package jhplot.root
Access to ROOT files (based on Tony Johnson's RootHistogramBrowser).
jhplot.shapes - package jhplot.shapes
jHepWork package to draw java 2D primitives
jminhep.cluster - package jminhep.cluster
jHepWork package for a cluster analysis.
jn(int, double) - Static method in class cern.jet.math.Bessel
Returns the Bessel function of the first kind of order n of the argument.
joule - Static variable in class cern.clhep.Units
 
jouleToCalorie(double) - Static method in class flanagan.math.Fmath
 

K

k0(double) - Static method in class cern.jet.math.Bessel
Returns the modified Bessel function of the third kind of order 0 of the argument.
k0e(double) - Static method in class cern.jet.math.Bessel
Returns the exponentially scaled modified Bessel function of the third kind of order 0 of the argument.
k1(double) - Static method in class cern.jet.math.Bessel
Returns the modified Bessel function of the third kind of order 1 of the argument.
k1e(double) - Static method in class cern.jet.math.Bessel
Returns the exponentially scaled modified Bessel function of the third kind of order 1 of the argument.
k_Boltzmann - Static variable in class cern.clhep.PhysicalConstants
 
K_BOLTZMANN - Static variable in class flanagan.math.Fmath
 
kelvin - Static variable in class cern.clhep.Units
 
kelvinToCelsius(double) - Static method in class flanagan.math.Fmath
 
keV - Static variable in class cern.clhep.Units
 
key(int) - Method in class hep.aida.ref.Annotation
Get the key corresponding to the item in a given position in the Annotation.
keyOf(int) - Method in class cern.colt.map.AbstractDoubleIntMap
Returns the first key the given value is associated with.
keyOf(double) - Method in class cern.colt.map.AbstractIntDoubleMap
Returns the first key the given value is associated with.
keyOf(int) - Method in class cern.colt.map.AbstractIntIntMap
Returns the first key the given value is associated with.
keyOf(Object) - Method in class cern.colt.map.AbstractIntObjectMap
Returns the first key the given value is associated with.
keyOf(Object) - Method in class cern.colt.map.AbstractLongObjectMap
Returns the first key the given value is associated with.
keyOf(int) - Method in class cern.colt.map.OpenDoubleIntHashMap
Returns the first key the given value is associated with.
keyOf(double) - Method in class cern.colt.map.OpenIntDoubleHashMap
Returns the first key the given value is associated with.
keyOf(int) - Method in class cern.colt.map.OpenIntIntHashMap
Returns the first key the given value is associated with.
keyOf(Object) - Method in class cern.colt.map.OpenIntObjectHashMap
Returns the first key the given value is associated with.
keyOf(Object) - Method in class cern.colt.map.OpenLongObjectHashMap
Returns the first key the given value is associated with.
keys() - Method in class cern.colt.map.AbstractDoubleIntMap
Returns a list filled with all keys contained in the receiver.
keys(DoubleArrayList) - Method in class cern.colt.map.AbstractDoubleIntMap
Fills all keys contained in the receiver into the specified list.
keys() - Method in class cern.colt.map.AbstractIntDoubleMap
Returns a list filled with all keys contained in the receiver.
keys(IntArrayList) - Method in class cern.colt.map.AbstractIntDoubleMap
Fills all keys contained in the receiver into the specified list.
keys() - Method in class cern.colt.map.AbstractIntIntMap
Returns a list filled with all keys contained in the receiver.
keys(IntArrayList) - Method in class cern.colt.map.AbstractIntIntMap
Fills all keys contained in the receiver into the specified list.
keys() - Method in class cern.colt.map.AbstractIntObjectMap
Returns a list filled with all keys contained in the receiver.
keys(IntArrayList) - Method in class cern.colt.map.AbstractIntObjectMap
Fills all keys contained in the receiver into the specified list.
keys() - Method in class cern.colt.map.AbstractLongObjectMap
Returns a list filled with all keys contained in the receiver.
keys(LongArrayList) - Method in class cern.colt.map.AbstractLongObjectMap
Fills all keys contained in the receiver into the specified list.
keys(DoubleArrayList) - Method in class cern.colt.map.OpenDoubleIntHashMap
Fills all keys contained in the receiver into the specified list.
keys(IntArrayList) - Method in class cern.colt.map.OpenIntDoubleHashMap
Fills all keys contained in the receiver into the specified list.
keys(IntArrayList) - Method in class cern.colt.map.OpenIntIntHashMap
Fills all keys contained in the receiver into the specified list.
keys(IntArrayList) - Method in class cern.colt.map.OpenIntObjectHashMap
Fills all keys contained in the receiver into the specified list.
keys(LongArrayList) - Method in class cern.colt.map.OpenLongObjectHashMap
Fills all keys contained in the receiver into the specified list.
keysSortedByValue(DoubleArrayList) - Method in class cern.colt.map.AbstractDoubleIntMap
Fills all keys sorted ascending by their associated value into the specified list.
keysSortedByValue(IntArrayList) - Method in class cern.colt.map.AbstractIntDoubleMap
Fills all keys sorted ascending by their associated value into the specified list.
keysSortedByValue(IntArrayList) - Method in class cern.colt.map.AbstractIntIntMap
Fills all keys sorted ascending by their associated value into the specified list.
keysSortedByValue(IntArrayList) - Method in class cern.colt.map.AbstractIntObjectMap
Fills all keys sorted ascending by their associated value into the specified list.
keysSortedByValue(LongArrayList) - Method in class cern.colt.map.AbstractLongObjectMap
Fills all keys sorted ascending by their associated value into the specified list.
kg - Static variable in class cern.clhep.Units
 
kGasThreshold - Static variable in class cern.clhep.PhysicalConstants
 
kgToPound(double) - Static method in class flanagan.math.Fmath
 
kgToTon(double) - Static method in class flanagan.math.Fmath
 
kiloelectronvolt - Static variable in class cern.clhep.Units
 
kilogauss - Static variable in class cern.clhep.Units
 
kilogram - Static variable in class cern.clhep.Units
 
kilohertz - Static variable in class cern.clhep.Units
 
kilometer - Static variable in class cern.clhep.Units
 
kilometer2 - Static variable in class cern.clhep.Units
 
kilometer3 - Static variable in class cern.clhep.Units
 
kilovolt - Static variable in class cern.clhep.Units
 
km - Static variable in class cern.clhep.Units
 
km2 - Static variable in class cern.clhep.Units
 
km3 - Static variable in class cern.clhep.Units
 
kmPerLitreToMilePerGallon(double) - Static method in class flanagan.math.Fmath
 
kmToMile(double) - Static method in class flanagan.math.Fmath
 
kn(int, double) - Static method in class cern.jet.math.Bessel
Returns the modified Bessel function of the third kind of order nn of the argument.
known_N_compute_B_and_K(long, double, double, int, double[]) - Static method in class cern.jet.stat.quantile.QuantileFinderFactory
Computes the number of buffers and number of values per buffer such that quantiles can be determined with an approximation error no more than epsilon with a certain probability.
kurtosis() - Method in class cern.hep.aida.bin.MightyStaticBin1D
Returns the kurtosis (aka excess), which is -3 + moment(4,mean()) / standardDeviation()4.
kurtosis(double, double) - Static method in class cern.jet.stat.Descriptive
Returns the kurtosis (aka excess) of a data sequence.
kurtosis(DoubleArrayList, double, double) - Static method in class cern.jet.stat.Descriptive
Returns the kurtosis (aka excess) of a data sequence, which is -3 + moment(data,4,mean) / standardDeviation4.
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

L

lag1(DoubleArrayList, double) - Static method in class cern.jet.stat.Descriptive
Returns the lag-1 autocorrelation of a dataset; Note that this method has semantics different from autoCorrelation(..., 1);
largestPrime - Static variable in class cern.colt.map.PrimeFinder
The largest prime this class can generate; currently equal to Integer.MAX_VALUE.
lastIndexOf(boolean) - Method in class cern.colt.list.AbstractBooleanList
Returns the index of the last occurrence of the specified element.
lastIndexOf(byte) - Method in class cern.colt.list.AbstractByteList
Returns the index of the last occurrence of the specified element.
lastIndexOf(char) - Method in class cern.colt.list.AbstractCharList
Returns the index of the last occurrence of the specified element.
lastIndexOf(double) - Method in class cern.colt.list.AbstractDoubleList
Returns the index of the last occurrence of the specified element.
lastIndexOf(float) - Method in class cern.colt.list.AbstractFloatList
Returns the index of the last occurrence of the specified element.
lastIndexOf(int) - Method in class cern.colt.list.AbstractIntList
Returns the index of the last occurrence of the specified element.
lastIndexOf(long) - Method in class cern.colt.list.AbstractLongList
Returns the index of the last occurrence of the specified element.
lastIndexOf(short) - Method in class cern.colt.list.AbstractShortList
Returns the index of the last occurrence of the specified element.
lastIndexOf(Object, boolean) - Method in class cern.colt.list.ObjectArrayList
Returns the index of the last occurrence of the specified element.
lastIndexOfFromTo(boolean, int, int) - Method in class cern.colt.list.AbstractBooleanList
Returns the index of the last occurrence of the specified element.
lastIndexOfFromTo(byte, int, int) - Method in class cern.colt.list.AbstractByteList
Returns the index of the last occurrence of the specified element.
lastIndexOfFromTo(char, int, int) - Method in class cern.colt.list.AbstractCharList
Returns the index of the last occurrence of the specified element.
lastIndexOfFromTo(double, int, int) - Method in class cern.colt.list.AbstractDoubleList
Returns the index of the last occurrence of the specified element.
lastIndexOfFromTo(float, int, int) - Method in class cern.colt.list.AbstractFloatList
Returns the index of the last occurrence of the specified element.
lastIndexOfFromTo(int, int, int) - Method in class cern.colt.list.AbstractIntList
Returns the index of the last occurrence of the specified element.
lastIndexOfFromTo(long, int, int) - Method in class cern.colt.list.AbstractLongList
Returns the index of the last occurrence of the specified element.
lastIndexOfFromTo(short, int, int) - Method in class cern.colt.list.AbstractShortList
Returns the index of the last occurrence of the specified element.
lastIndexOfFromTo(boolean, int, int) - Method in class cern.colt.list.BooleanArrayList
Returns the index of the last occurrence of the specified element.
lastIndexOfFromTo(byte, int, int) - Method in class cern.colt.list.ByteArrayList
Returns the index of the last occurrence of the specified element.
lastIndexOfFromTo(char, int, int) - Method in class cern.colt.list.CharArrayList
Returns the index of the last occurrence of the specified element.
lastIndexOfFromTo(double, int, int) - Method in class cern.colt.list.DoubleArrayList
Returns the index of the last occurrence of the specified element.
lastIndexOfFromTo(float, int, int) - Method in class cern.colt.list.FloatArrayList
Returns the index of the last occurrence of the specified element.
lastIndexOfFromTo(int, int, int) - Method in class cern.colt.list.IntArrayList
Returns the index of the last occurrence of the specified element.
lastIndexOfFromTo(long, int, int) - Method in class cern.colt.list.LongArrayList
Returns the index of the last occurrence of the specified element.
lastIndexOfFromTo(Object, int, int, boolean) - Method in class cern.colt.list.ObjectArrayList
Returns the index of the last occurrence of the specified element.
lastIndexOfFromTo(short, int, int) - Method in class cern.colt.list.ShortArrayList
Returns the index of the last occurrence of the specified element.
lastPowerOfTwo(int) - Static method in class flanagan.math.FourierTransform
 
lcm(int, int) - Static method in class org.apache.commons.math.util.MathUtils
Returns the least common multiple between two integer values.
leapYear(int) - Static method in class flanagan.math.Fmath
 
leastSignificantBit(int) - Static method in class cern.colt.bitvector.QuickBitVector
Returns the index of the least significant bit in state "true".
LeastSquaresFitMethod - Class in hep.aida.ref.fitter.fitmethod
 
LeastSquaresFitMethod() - Constructor for class hep.aida.ref.fitter.fitmethod.LeastSquaresFitMethod
 
LEFT - Static variable in class cern.colt.matrix.impl.AbstractFormatter
The alignment string aligning the cells of a column to the left.
length() - Method in class hep.aida.ref.function.RangeSet
 
less(DoubleMatrix2D, double) - Static method in class cern.colt.matrix.doublealgo.Transform
Deprecated. A[row,col] = A[row,col] < s ? 1 : 0.
less(DoubleMatrix2D, DoubleMatrix2D) - Static method in class cern.colt.matrix.doublealgo.Transform
Deprecated. A[row,col] = A[row,col] < B[row,col] ? 1 : 0.
less - Static variable in class cern.jet.math.Functions
Function that returns a < b ? 1 : 0.
less(double) - Static method in class cern.jet.math.Functions
Constructs a function that returns a < b ? 1 : 0.
lg - Static variable in class cern.jet.math.Functions
Function that returns Math.log(a) / Math.log(b).
lg(double) - Static method in class cern.jet.math.Functions
Constructs a function that returns Math.log(a) / Math.log(b).
like() - Method in class cern.colt.matrix.DoubleMatrix1D
Construct and returns a new empty matrix of the same dynamic type as the receiver, having the same size.
like(int) - Method in class cern.colt.matrix.DoubleMatrix1D
Construct and returns a new empty matrix of the same dynamic type as the receiver, having the specified size.
like() - Method in class cern.colt.matrix.DoubleMatrix2D
Construct and returns a new empty matrix of the same dynamic type as the receiver, having the same number of rows and columns.
like(int, int) - Method in class cern.colt.matrix.DoubleMatrix2D
Construct and returns a new empty matrix of the same dynamic type as the receiver, having the specified number of rows and columns.
like() - Method in class cern.colt.matrix.DoubleMatrix3D
Construct and returns a new empty matrix of the same dynamic type as the receiver, having the same number of slices, rows and columns.
like(int, int, int) - Method in class cern.colt.matrix.DoubleMatrix3D
Construct and returns a new empty matrix of the same dynamic type as the receiver, having the specified number of slices, rows and columns.
like(int) - Method in class cern.colt.matrix.impl.DenseDoubleMatrix1D
Construct and returns a new empty matrix of the same dynamic type as the receiver, having the specified size.
like(int, int) - Method in class cern.colt.matrix.impl.DenseDoubleMatrix2D
Construct and returns a new empty matrix of the same dynamic type as the receiver, having the specified number of rows and columns.
like(int, int, int) - Method in class cern.colt.matrix.impl.DenseDoubleMatrix3D
Construct and returns a new empty matrix of the same dynamic type as the receiver, having the specified number of slices, rows and columns.
like(int) - Method in class cern.colt.matrix.impl.DenseObjectMatrix1D
Construct and returns a new empty matrix of the same dynamic type as the receiver, having the specified size.
like(int, int) - Method in class cern.colt.matrix.impl.DenseObjectMatrix2D
Construct and returns a new empty matrix of the same dynamic type as the receiver, having the specified number of rows and columns.
like(int, int, int) - Method in class cern.colt.matrix.impl.DenseObjectMatrix3D
Construct and returns a new empty matrix of the same dynamic type as the receiver, having the specified number of slices, rows and columns.
like(int, int) - Method in class cern.colt.matrix.impl.RCDoubleMatrix2D
Construct and returns a new empty matrix of the same dynamic type as the receiver, having the specified number of rows and columns.
like(int) - Method in class cern.colt.matrix.impl.SparseDoubleMatrix1D
Construct and returns a new empty matrix of the same dynamic type as the receiver, having the specified size.
like(int, int) - Method in class cern.colt.matrix.impl.SparseDoubleMatrix2D
Construct and returns a new empty matrix of the same dynamic type as the receiver, having the specified number of rows and columns.
like(int, int, int) - Method in class cern.colt.matrix.impl.SparseDoubleMatrix3D
Construct and returns a new empty matrix of the same dynamic type as the receiver, having the specified number of slices, rows and columns.
like(int) - Method in class cern.colt.matrix.impl.SparseObjectMatrix1D
Construct and returns a new empty matrix of the same dynamic type as the receiver, having the specified size.
like(int, int) - Method in class cern.colt.matrix.impl.SparseObjectMatrix2D
Construct and returns a new empty matrix of the same dynamic type as the receiver, having the specified number of rows and columns.
like(int, int, int) - Method in class cern.colt.matrix.impl.SparseObjectMatrix3D
Construct and returns a new empty matrix of the same dynamic type as the receiver, having the specified number of slices, rows and columns.
like() - Method in class cern.colt.matrix.ObjectMatrix1D
Construct and returns a new empty matrix of the same dynamic type as the receiver, having the same size.
like(int) - Method in class cern.colt.matrix.ObjectMatrix1D
Construct and returns a new empty matrix of the same dynamic type as the receiver, having the specified size.
like() - Method in class cern.colt.matrix.ObjectMatrix2D
Construct and returns a new empty matrix of the same dynamic type as the receiver, having the same number of rows and columns.
like(int, int) - Method in class cern.colt.matrix.ObjectMatrix2D
Construct and returns a new empty matrix of the same dynamic type as the receiver, having the specified number of rows and columns.
like() - Method in class cern.colt.matrix.ObjectMatrix3D
Construct and returns a new empty matrix of the same dynamic type as the receiver, having the same number of slices, rows and columns.
like(int, int, int) - Method in class cern.colt.matrix.ObjectMatrix3D
Construct and returns a new empty matrix of the same dynamic type as the receiver, having the specified number of slices, rows and columns.
like1D(int) - Method in class cern.colt.matrix.DoubleMatrix2D
Construct and returns a new 1-d matrix of the corresponding dynamic type, entirelly independent of the receiver.
like1D(int) - Method in class cern.colt.matrix.impl.DenseDoubleMatrix2D
Construct and returns a new 1-d matrix of the corresponding dynamic type, entirelly independent of the receiver.
like1D(int) - Method in class cern.colt.matrix.impl.DenseObjectMatrix2D
Construct and returns a new 1-d matrix of the corresponding dynamic type, entirelly independent of the receiver.
like1D(int) - Method in class cern.colt.matrix.impl.RCDoubleMatrix2D
Construct and returns a new 1-d matrix of the corresponding dynamic type, entirelly independent of the receiver.
like1D(int) - Method in class cern.colt.matrix.impl.SparseDoubleMatrix2D
Construct and returns a new 1-d matrix of the corresponding dynamic type, entirelly independent of the receiver.
like1D(int) - Method in class cern.colt.matrix.impl.SparseObjectMatrix2D
Construct and returns a new 1-d matrix of the corresponding dynamic type, entirelly independent of the receiver.
like1D(int) - Method in class cern.colt.matrix.ObjectMatrix2D
Construct and returns a new 1-d matrix of the corresponding dynamic type, entirelly independent of the receiver.
like2D(int, int) - Method in class cern.colt.matrix.DoubleMatrix1D
Construct and returns a new 2-d matrix of the corresponding dynamic type, entirelly independent of the receiver.
like2D(int, int) - Method in class cern.colt.matrix.impl.DenseDoubleMatrix1D
Construct and returns a new 2-d matrix of the corresponding dynamic type, entirelly independent of the receiver.
like2D(int, int) - Method in class cern.colt.matrix.impl.DenseObjectMatrix1D
Construct and returns a new 2-d matrix of the corresponding dynamic type, entirelly independent of the receiver.
like2D(int, int) - Method in class cern.colt.matrix.impl.SparseDoubleMatrix1D
Construct and returns a new 2-d matrix of the corresponding dynamic type, entirelly independent of the receiver.
like2D(int, int) - Method in class cern.colt.matrix.impl.SparseObjectMatrix1D
Construct and returns a new 2-d matrix of the corresponding dynamic type, entirelly independent of the receiver.
like2D(int, int) - Method in class cern.colt.matrix.ObjectMatrix1D
Construct and returns a new 2-d matrix of the corresponding dynamic type, entirelly independent of the receiver.
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
linear() - Method in class flanagan.analysis.Regression
 
LINEAR_INTERPOLATION - Static variable in class cern.jet.random.Empirical
 
linearCorrCoeff(double, int) - Static method in class flanagan.analysis.Stat
 
linearCorrCoeffProb(double, int) - Static method in class flanagan.analysis.Stat
 
linearGeneral() - Method in class flanagan.analysis.Regression
 
linearGeneralPlot(String, String) - Method in class flanagan.analysis.Regression
 
linearGeneralPlot() - Method in class flanagan.analysis.Regression
 
linearPlot(String, String) - Method in class flanagan.analysis.Regression
 
linearPlot() - Method in class flanagan.analysis.Regression
 
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
 
list() - Method in class hep.aida.ref.function.FunctionCatalog
 
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 "..").
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.
listParameterSettings() - Method in class hep.aida.ref.fitter.Fitter
 
litrePerKmToGallonPerMile(double) - Static method in class flanagan.math.Fmath
 
litreToGallon(double) - Static method in class flanagan.math.Fmath
 
litreToPint(double) - Static method in class flanagan.math.Fmath
 
litreToQuart(double) - Static method in class flanagan.math.Fmath
 
load(String) - Method in class jhplot.BRoot
Load a ROOT 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
 
log(double, double) - Static method in class cern.jet.math.Arithmetic
Returns logbasevalue.
log - Static variable in class cern.jet.math.Functions
Function that returns Math.log(a).
log(ErrorProp) - Static method in class flanagan.analysis.ErrorProp
 
log(double) - Static method in class flanagan.math.Fmath
 
log(float) - Static method in class flanagan.math.Fmath
 
log(Complex) - Static method in class org.apache.commons.math.complex.ComplexUtils
Compute the natural logarithm for the given complex argument.
log10(double) - Static method in class cern.jet.math.Arithmetic
Returns log10value.
log10(ErrorProp) - Static method in class flanagan.analysis.ErrorProp
 
log10(double) - Static method in class flanagan.math.Fmath
 
log10(float) - Static method in class flanagan.math.Fmath
 
log10(double, double) - Static method in class flanagan.math.Fmath
 
log10(double, int) - Static method in class flanagan.math.Fmath
 
log10(float, float) - Static method in class flanagan.math.Fmath
 
log10(float, int) - Static method in class flanagan.math.Fmath
 
log2(double) - Static method in class cern.jet.math.Arithmetic
Returns log2value.
log2 - Static variable in class cern.jet.math.Functions
Function that returns Math.log(a) / Math.log(2).
log2(double) - Static method in class flanagan.math.Fmath
 
log2(float) - Static method in class flanagan.math.Fmath
 
Logarithmic - Class in cern.jet.random
Logarithmic distribution.
Logarithmic(double, RandomEngine) - Constructor for class cern.jet.random.Logarithmic
Constructs a Logarithmic distribution.
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).
logDeterminant() - Method in class flanagan.math.Matrix
 
logDeterminant(Matrix) - Static method in class flanagan.math.Matrix
 
logFactorial(int) - Static method in class cern.jet.math.Arithmetic
Returns log(k!).
logFactorial(int) - Static method in class flanagan.analysis.Stat
 
logFactorial(long) - Static method in class flanagan.analysis.Stat
 
logFactorial(double) - Static method in class flanagan.analysis.Stat
 
logFactorial(int) - Static method in class flanagan.math.Fmath
 
logFactorial(long) - Static method in class flanagan.math.Fmath
 
logFactorial(double) - Static method in class flanagan.math.Fmath
 
logGamma(double) - Static method in class cern.jet.random.PoissonSlow
Returns the value ln(Gamma(xx) for xx > 0.
logGamma(double) - Static method in class cern.jet.stat.Gamma
Returns the natural logarithm of the gamma function; formerly named lgamma.
logGamma(double) - Static method in class flanagan.analysis.Stat
 
logGamma(double) - Static method in class org.apache.commons.math.special.Gamma
Returns the natural logarithm of the gamma function Γ(x).
logGammaFunction(double) - Static method in class flanagan.analysis.Stat
 
logistic() - Method in class flanagan.analysis.Regression
 
logistic(double, double, double) - Static method in class flanagan.analysis.Stat
 
logisticCDF(double, double, double) - Static method in class flanagan.analysis.Stat
 
logisticCDF(double, double, double, double) - Static method in class flanagan.analysis.Stat
 
logisticMean(double) - Static method in class flanagan.analysis.Stat
 
logisticMedian(double) - Static method in class flanagan.analysis.Stat
 
logisticMode(double) - Static method in class flanagan.analysis.Stat
 
logisticPDF(double, double, double) - Static method in class flanagan.analysis.Stat
 
logisticPlot() - Method in class flanagan.analysis.Regression
 
logisticProb(double, double, double) - Static method in class flanagan.analysis.Stat
 
logisticProb(double, double, double, double) - Static method in class flanagan.analysis.Stat
 
logisticRand(double, double, int) - Static method in class flanagan.analysis.Stat
 
logisticRand(double, double, int, long) - Static method in class flanagan.analysis.Stat
 
logisticStandDev(double) - Static method in class flanagan.analysis.Stat
 
LongArrayList - Class in cern.colt.list
Resizable list holding long elements; implemented with arrays.
LongArrayList() - Constructor for class cern.colt.list.LongArrayList
Constructs an empty list.
LongArrayList(long[]) - Constructor for class cern.colt.list.LongArrayList
Constructs a list containing the specified elements.
LongArrayList(int) - Constructor for class cern.colt.list.LongArrayList
Constructs an empty list with the specified initial capacity.
LongComparator - Interface in cern.colt.function
A comparison function which imposes a total ordering on some collection of elements.
longFactorial(int) - Static method in class cern.jet.math.Arithmetic
Instantly returns the factorial k!.
LongListAdapter - Class in cern.colt.list.adapter
Adapter that permits an AbstractLongList to be viewed and treated as a JDK 1.2 AbstractList.
LongListAdapter(AbstractLongList) - Constructor for class cern.colt.list.adapter.LongListAdapter
Constructs a list backed by the specified content list.
LongObjectProcedure - Interface in cern.colt.function
Interface that represents a procedure object: a procedure that takes two arguments and does not return a value.
LongProcedure - Interface in cern.colt.function
Interface that represents a procedure object: a procedure that takes a single argument and does not return a value.
longTOdouble(long[]) - Static method in class flanagan.math.Fmath
 
longTOfloat(long[]) - Static method in class flanagan.math.Fmath
 
longValue() - Method in class org.apache.commons.math.fraction.Fraction
Gets the fraction as a long.
lorentzian() - Method in class flanagan.analysis.Regression
 
lorentzian(double, double, double) - Static method in class flanagan.analysis.Stat
 
lorentzianArray(double, double, int) - Method in class flanagan.math.PsRandom
 
lorentzianCDF(double, double, double, double) - Static method in class flanagan.analysis.Stat
 
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
 
lorentzianPDF(double, double, double) - Static method in class flanagan.analysis.Stat
 
lorentzianPlot() - Method in class flanagan.analysis.Regression
 
lorentzianProb(double, double, double) - Static method in class flanagan.analysis.Stat
 
lorentzianProb(double, double, double, double) - Static method in class flanagan.analysis.Stat
 
lorentzianRand(double, double, int) - Static method in class flanagan.analysis.Stat
 
lorentzianRand(double, double, int, long) - Static method in class flanagan.analysis.Stat
 
lowerBandwidth(DoubleMatrix2D) - Method in class cern.colt.matrix.linalg.Property
The lower bandwidth of a square matrix A is the maximum i-j for which A[i,j] is nonzero and i > j.
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 cern.hep.aida.ref.FixedAxis
 
lowerEdge() - Method in class cern.hep.aida.ref.VariableAxis
 
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
 
lowerOutliersAnscombe(double[], double) - Static method in class flanagan.analysis.Stat
 
LRegression - Class in jhplot.regression
Performe a linear regression analysis
LRegression(double[], double[]) - Constructor for class jhplot.regression.LRegression
constructor for regression calculations
LRegression(P1D) - Constructor for class jhplot.regression.LRegression
constructor for regression calculations.
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.
luBackSub(double[]) - Method in class flanagan.math.Matrix
 
luDecomp() - Method in class flanagan.math.Matrix
 
luDecompose() - Method in class org.apache.commons.math.linear.BigMatrixImpl
Computes a new LU decompostion for this matrix, storing the result for use by other methods.
luDecompose() - Method in class org.apache.commons.math.linear.RealMatrixImpl
Computes a new LU decompostion for this matrix, storing the result for use by other methods.
LUDecomposition - Class in cern.colt.matrix.linalg
For an m x n matrix A with m >= n, the LU decomposition is an m x n unit lower triangular matrix L, an n x n upper triangular matrix U, and a permutation vector piv of length m so that A(piv,:) = L*U; If m < n, then L is m x m and U is m x n.
LUDecomposition(DoubleMatrix2D) - Constructor for class cern.colt.matrix.linalg.LUDecomposition
Constructs and returns a new LU Decomposition object; The decomposed matrices can be retrieved via instance methods of the returned decomposition object.
LUDecompositionQuick - Class in cern.colt.matrix.linalg
A low level version of LUDecomposition, avoiding unnecessary memory allocation and copying.
LUDecompositionQuick() - Constructor for class cern.colt.matrix.linalg.LUDecompositionQuick
Constructs and returns a new LU Decomposition object with default tolerance 1.0E-9 for singularity detection.
LUDecompositionQuick(double) - Constructor for class cern.colt.matrix.linalg.LUDecompositionQuick
Constructs and returns a new LU Decomposition object which uses the given tolerance for singularity detection;
lumen - Static variable in class cern.clhep.Units
 
lux - Static variable in class cern.clhep.Units
 

M

m - Static variable in class cern.clhep.Units
 
m2 - Static variable in class cern.clhep.Units
 
m3 - Static variable in class cern.clhep.Units
 
M_ELECTRON - Static variable in class flanagan.math.Fmath
 
M_NEUTRON - Static variable in class flanagan.math.Fmath
 
M_PROTON - Static variable in class flanagan.math.Fmath
 
main(String[]) - Static method in class cern.colt.map.Benchmark
Tests various methods of this class.
main(String[]) - Static method in class cern.colt.matrix.bench.BenchmarkMatrix
Runs the matrix benchmark operations defined in args or in the file specified by args0.
main(String[]) - Static method in class cern.colt.matrix.doublealgo.Statistic
Benchmarks covariance computation.
main(String[]) - Static method in class cern.colt.Version
Prints asString on System.out.
main(String[]) - Static method in class cern.hep.aida.ref.Test
 
main(String[]) - Static method in class cern.hep.aida.ref.Test2
 
main(String[]) - Static method in class cern.jet.random.Benchmark
Benchmarks all subclasses
main(String[]) - Static method in class cern.jet.random.engine.Benchmark
Tests various methods of this class.
main(String[]) - Static method in class cern.jet.random.engine.RandomSeedGenerator
Prints the generated seeds for the given input parameters.
main(String[]) - Static method in class cern.jet.random.sampling.RandomSampler
Tests this class.
main(String[]) - Static method in class cern.jet.random.sampling.RandomSamplingAssistant
Tests random sampling.
main(String[]) - Static method in class cern.jet.stat.quantile.Quantile1Test
 
main(String[]) - Static method in class corejava.Format
a test stub for the format class
main(String[]) - Static method in class hep.aida.ref.fitter.Fitter
 
main(String[]) - Static method in class hep.aida.ref.function.FunctionCatalog
 
main(String[]) - Static method in class jhplot.root.RootHistogramBrowser
 
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
main2(String[]) - Static method in class cern.hep.aida.ref.Test2
 
make(double[]) - Method in class cern.colt.matrix.DoubleFactory1D
Constructs a matrix with the given cell values.
make(DoubleMatrix1D[]) - Method in class cern.colt.matrix.DoubleFactory1D
Constructs a matrix which is the concatenation of all given parts.
make(int) - Method in class cern.colt.matrix.DoubleFactory1D
Constructs a matrix with the given shape, each cell initialized with zero.
make(int, double) - Method in class cern.colt.matrix.DoubleFactory1D
Constructs a matrix with the given shape, each cell initialized with the given value.
make(AbstractDoubleList) - Method in class cern.colt.matrix.DoubleFactory1D
Constructs a matrix from the values of the given list.
make(double[][]) - Method in class cern.colt.matrix.DoubleFactory2D
Constructs a matrix with the given cell values.
make(double[], int) - Method in class cern.colt.matrix.DoubleFactory2D
Construct a matrix from a one-dimensional column-major packed array, ala Fortran.
make(int, int) - Method in class cern.colt.matrix.DoubleFactory2D
Constructs a matrix with the given shape, each cell initialized with zero.
make(int, int, double) - Method in class cern.colt.matrix.DoubleFactory2D
Constructs a matrix with the given shape, each cell initialized with the given value.
make(double[][][]) - Method in class cern.colt.matrix.DoubleFactory3D
Constructs a matrix with the given cell values.
make(int, int, int) - Method in class cern.colt.matrix.DoubleFactory3D
Constructs a matrix with the given shape, each cell initialized with zero.
make(int, int, int, double) - Method in class cern.colt.matrix.DoubleFactory3D
Constructs a matrix with the given shape, each cell initialized with the given value.
make(ObjectMatrix1D[]) - Method in class cern.colt.matrix.ObjectFactory1D
Constructs a matrix which is the concatenation of all given parts.
make(Object[]) - Method in class cern.colt.matrix.ObjectFactory1D
Constructs a matrix with the given cell values.
make(int) - Method in class cern.colt.matrix.ObjectFactory1D
Constructs a matrix with the given shape, each cell initialized with zero.
make(int, Object) - Method in class cern.colt.matrix.ObjectFactory1D
Constructs a matrix with the given shape, each cell initialized with the given value.
make(ObjectArrayList) - Method in class cern.colt.matrix.ObjectFactory1D
Constructs a matrix from the values of the given list.
make(Object[][]) - Method in class cern.colt.matrix.ObjectFactory2D
Constructs a matrix with the given cell values.
make(Object[], int) - Method in class cern.colt.matrix.ObjectFactory2D
Construct a matrix from a one-dimensional column-major packed array, ala Fortran.
make(int, int) - Method in class cern.colt.matrix.ObjectFactory2D
Constructs a matrix with the given shape, each cell initialized with zero.
make(int, int, Object) - Method in class cern.colt.matrix.ObjectFactory2D
Constructs a matrix with the given shape, each cell initialized with the given value.
make(Object[][][]) - Method in class cern.colt.matrix.ObjectFactory3D
Constructs a matrix with the given cell values.
make(int, int, int) - Method in class cern.colt.matrix.ObjectFactory3D
Constructs a matrix with the given shape, each cell initialized with zero.
make(int, int, int, Object) - Method in class cern.colt.matrix.ObjectFactory3D
Constructs a matrix with the given shape, each cell initialized with the given value.
makeBitVector(int, int) - Static method in class cern.colt.bitvector.QuickBitVector
Constructs a low level bitvector that holds size elements, with each element taking bitsPerElement bits.
makeDefault() - Static method in class cern.jet.random.engine.RandomEngine
Constructs and returns a new uniform random number engine seeded with the current time.
makeDefaultGenerator() - Static method in class cern.jet.random.AbstractDistribution
Constructs and returns a new uniform random number generation engine seeded with the current time.
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.
MANHATTAN - Static variable in class cern.colt.matrix.doublealgo.Statistic
Manhattan distance function; Sum( abs(x[i]-y[i]) ).
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) - Constructor for exception org.apache.commons.math.MathConfigurationException
Construct an exception with the given message.
MathConfigurationException(String, Throwable) - Constructor for exception org.apache.commons.math.MathConfigurationException
Construct an exception with the given message and root cause.
MathConfigurationException(Throwable) - Constructor for exception org.apache.commons.math.MathConfigurationException
Construct an exception with the given 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) - Constructor for exception org.apache.commons.math.MathException
Constructs a new MathException with specified detail message.
MathException(Throwable) - Constructor for exception org.apache.commons.math.MathException
Constructs a new MathException with specified nested Throwable root cause.
MathException(String, Throwable) - Constructor for exception org.apache.commons.math.MathException
Constructs a new MathException with specified detail message and nested Throwable root cause.
MathUtils - Class in org.apache.commons.math.util
Some useful additions to the built-in functions in Math.
Matrix - Class in flanagan.math
 
Matrix(int, int) - Constructor for class flanagan.math.Matrix
 
Matrix(int, int, double) - Constructor for class flanagan.math.Matrix
 
Matrix(double[][]) - Constructor for class flanagan.math.Matrix
 
Matrix(Matrix) - Constructor for class flanagan.math.Matrix
 
Matrix2DMatrix2DFunction - Interface in cern.colt.matrix.linalg
Interface that represents a function object: a function that takes two arguments and returns a single value.
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() - Constructor for exception org.apache.commons.math.linear.MatrixIndexException
Default constructor.
MatrixIndexException(String) - Constructor for exception org.apache.commons.math.linear.MatrixIndexException
Construct an exception with the given message and root cause.
MatrixUtils - Class in org.apache.commons.math.linear
A collection of static methods that operate on or return matrices.
MatrixUtils() - Constructor for class org.apache.commons.math.linear.MatrixUtils
Default constructor.
max() - Method in class cern.hep.aida.bin.AbstractBin1D
Returns the maximum.
max - Static variable in class cern.hep.aida.bin.BinFunctions1D
Function that returns bin.max().
max() - Method in class cern.hep.aida.bin.DynamicBin1D
Returns the maximum.
max() - Method in class cern.hep.aida.bin.StaticBin1D
Returns the maximum.
max - Static variable in class cern.jet.math.Functions
Function that returns Math.max(a,b).
max(double) - Static method in class cern.jet.math.Functions
Constructs a function that returns Math.max(a,b).
max - Static variable in class cern.jet.math.IntFunctions
Function that returns Math.max(a,b).
max(int) - Static method in class cern.jet.math.IntFunctions
Constructs a function that returns Math.max(a,b).
max(DoubleArrayList) - Static method in class cern.jet.stat.Descriptive
Returns the largest member of a data sequence.
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(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.
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
maxEntries() - Method in class hep.aida.ref.histogram.Cloud
Get the maximum number of entries after which the Cloud will convert to an Histogram.
maximalGumbelArray(double, double, int) - Method in class flanagan.math.PsRandom
 
Maximisation - Class in flanagan.math
 
Maximisation() - Constructor for class flanagan.math.Maximisation
 
MaximisationFunction - Interface in flanagan.math
 
MAXIMUM - Static variable in class cern.colt.matrix.doublealgo.Statistic
Maximum distance function; Max( abs(x[i]-y[i]) ).
maximum(double[]) - Static method in class flanagan.math.Fmath
 
maximum(float[]) - Static method in class flanagan.math.Fmath
 
maximum(int[]) - Static method in class flanagan.math.Fmath
 
maximum(long[]) - Static method in class flanagan.math.Fmath
 
maximum() - Method in class hep.aida.ref.tuple.AbstractTuple.AbstractTupleColumnFactory.BaseTupleColumn
 
maximum() - Method in class hep.aida.ref.tuple.TupleColumn
 
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
 
mean() - Method in class cern.hep.aida.bin.AbstractBin1D
Returns the arithmetic mean, which is Sum( x[i] ) / size().
mean - Static variable in class cern.hep.aida.bin.BinFunctions1D
Function that returns bin.mean().
mean() - Method in class cern.hep.aida.ref.Histogram1D
 
mean(DoubleArrayList) - Static method in class cern.jet.stat.Descriptive
Returns the arithmetic mean of a data sequence; That is Sum( data[i] ) / data.size().
mean(double[]) - Static method in class flanagan.analysis.Stat
 
mean(double[], double[]) - Static method in class flanagan.analysis.Stat
 
mean(float[], float[]) - Static method in class flanagan.analysis.Stat
 
mean(float[]) - Static method in class flanagan.analysis.Stat
 
mean(int[]) - Static method in class flanagan.analysis.Stat
 
mean(long[]) - Static method in class flanagan.analysis.Stat
 
mean(Complex[]) - Static method in class flanagan.analysis.Stat
 
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.P1D
Returm the mean value
Mean - Class in org.apache.commons.math.stat.descriptive.moment
Returns the arithmetic mean of the available 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(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.
meanDeviation(DoubleArrayList, double) - Static method in class cern.jet.stat.Descriptive
Returns the mean deviation of a dataset.
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() - Method in class cern.hep.aida.ref.Histogram2D
 
meanX() - Method in class cern.hep.aida.ref.Histogram3D
 
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
 
meanY() - Method in class cern.hep.aida.ref.Histogram2D
 
meanY() - Method in class cern.hep.aida.ref.Histogram3D
 
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
 
meanZ() - Method in class cern.hep.aida.ref.Histogram3D
 
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.
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 - Static variable in class cern.hep.aida.bin.BinFunctions1D
Function that returns bin.median().
median() - Method in class cern.hep.aida.bin.QuantileBin1D
Returns the median.
median(DoubleArrayList) - Static method in class cern.jet.stat.Descriptive
Returns the median of a sorted data sequence.
median(double[]) - Static method in class flanagan.analysis.Stat
 
median(float[]) - Static method in class flanagan.analysis.Stat
 
median(int[]) - Static method in class flanagan.analysis.Stat
 
median(long[]) - Static method in class flanagan.analysis.Stat
 
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.
megaelectronvolt - Static variable in class cern.clhep.Units
 
megahertz - Static variable in class cern.clhep.Units
 
megavolt - Static variable in class cern.clhep.Units
 
memory() - Method in interface cern.jet.stat.quantile.DoubleQuantileFinder
Returns the number of elements currently needed to store all contained elements.
merge(P1D) - Method in class jhplot.P1D
Merge two P1D containers
mergeSort(int, int, IntComparator, Swapper) - Static method in class cern.colt.GenericSorting
Sorts the specified range of elements according to the order induced by the specified comparator.
mergeSort() - Method in class cern.colt.list.AbstractList
Sorts the receiver into ascending order.
mergeSort - Static variable in class cern.colt.matrix.doublealgo.Sorting
A prefabricated mergesort.
mergeSort - Static variable in class cern.colt.matrix.objectalgo.Sorting
A prefabricated mergesort.
mergeSort(byte[], int, int) - Static method in class cern.colt.Sorting
Sorts the specified range of the specified array of elements.
mergeSort(byte[], int, int, ByteComparator) - Static method in class cern.colt.Sorting
Sorts the specified range of the specified array of elements according to the order induced by the specified comparator.
mergeSort(char[], int, int) - Static method in class cern.colt.Sorting
Sorts the specified range of the specified array of elements.
mergeSort(char[], int, int, CharComparator) - Static method in class cern.colt.Sorting
Sorts the specified range of the specified array of elements according to the order induced by the specified comparator.
mergeSort(double[], int, int) - Static method in class cern.colt.Sorting
Sorts the specified range of the specified array of elements.
mergeSort(double[], int, int, DoubleComparator) - Static method in class cern.colt.Sorting
Sorts the specified range of the specified array of elements according to the order induced by the specified comparator.
mergeSort(float[], int, int) - Static method in class cern.colt.Sorting
Sorts the specified range of the specified array of elements.
mergeSort(float[], int, int, FloatComparator) - Static method in class cern.colt.Sorting
Sorts the specified range of the specified array of elements according to the order induced by the specified comparator.
mergeSort(int[], int, int) - Static method in class cern.colt.Sorting
Sorts the specified range of the specified array of elements.
mergeSort(int[], int, int, IntComparator) - Static method in class cern.colt.Sorting
Sorts the specified range of the specified array of elements according to the order induced by the specified comparator.
mergeSort(long[], int, int) - Static method in class cern.colt.Sorting
Sorts the specified range of the specified array of elements.
mergeSort(long[], int, int, LongComparator) - Static method in class cern.colt.Sorting
Sorts the specified range of the specified array of elements according to the order induced by the specified comparator.
mergeSort(short[], int, int) - Static method in class cern.colt.Sorting
Sorts the specified range of the specified array of elements.
mergeSort(short[], int, int, ShortComparator) - Static method in class cern.colt.Sorting
Sorts the specified range of the specified array of elements according to the order induced by the specified comparator.
mergeSortFromTo(int, int) - Method in class cern.colt.list.AbstractByteList
Sorts the specified range of the receiver into ascending order.
mergeSortFromTo(int, int, ByteComparator) - Method in class cern.colt.list.AbstractByteList
Sorts the receiver according to the order induced by the specified comparator.
mergeSortFromTo(int, int) - Method in class cern.colt.list.AbstractCharList
Sorts the specified range of the receiver into ascending order.
mergeSortFromTo(int, int, CharComparator) - Method in class cern.colt.list.AbstractCharList
Sorts the receiver according to the order induced by the specified comparator.
mergeSortFromTo(int, int) - Method in class cern.colt.list.AbstractDoubleList
Sorts the specified range of the receiver into ascending order.
mergeSortFromTo(int, int, DoubleComparator) - Method in class cern.colt.list.AbstractDoubleList
Sorts the receiver according to the order induced by the specified comparator.
mergeSortFromTo(int, int) - Method in class cern.colt.list.AbstractFloatList
Sorts the specified range of the receiver into ascending order.
mergeSortFromTo(int, int, FloatComparator) - Method in class cern.colt.list.AbstractFloatList
Sorts the receiver according to the order induced by the specified comparator.
mergeSortFromTo(int, int) - Method in class cern.colt.list.AbstractIntList
Sorts the specified range of the receiver into ascending order.
mergeSortFromTo(int, int, IntComparator) - Method in class cern.colt.list.AbstractIntList
Sorts the receiver according to the order induced by the specified comparator.
mergeSortFromTo(int, int) - Method in class cern.colt.list.AbstractList
Sorts the receiver into ascending order.
mergeSortFromTo(int, int) - Method in class cern.colt.list.AbstractLongList
Sorts the specified range of the receiver into ascending order.
mergeSortFromTo(int, int, LongComparator) - Method in class cern.colt.list.AbstractLongList
Sorts the receiver according to the order induced by the specified comparator.
mergeSortFromTo(int, int) - Method in class cern.colt.list.AbstractShortList
Sorts the specified range of the receiver into ascending order.
mergeSortFromTo(int, int, ShortComparator) - Method in class cern.colt.list.AbstractShortList
Sorts the receiver according to the order induced by the specified comparator.
mergeSortFromTo(int, int) - Method in class cern.colt.list.BooleanArrayList
Sorts the specified range of the receiver into ascending order (false < true).
mergeSortFromTo(int, int) - Method in class cern.colt.list.ObjectArrayList
Sorts the specified range of the receiver into ascending order, according to the natural ordering of its elements.
mergeSortFromTo(int, int, Comparator) - Method in class cern.colt.list.ObjectArrayList
Sorts the receiver according to the order induced by the specified comparator.
mergeSortInPlace(int[], int, int) - Static method in class cern.colt.Sorting
Sorts the specified range of the specified array of elements.
MersenneTwister - Class in cern.jet.random.engine
MersenneTwister (MT19937) is one of the strongest uniform pseudo-random number generators known so far; at the same time it is quick.
MersenneTwister() - Constructor for class cern.jet.random.engine.MersenneTwister
Constructs and returns a random number generator with a default seed, which is a constant.
MersenneTwister(int) - Constructor for class cern.jet.random.engine.MersenneTwister
Constructs and returns a random number generator with the given seed.
MersenneTwister(Date) - Constructor for class cern.jet.random.engine.MersenneTwister
Constructs and returns a random number generator seeded with the given date.
MersenneTwister64 - Class in cern.jet.random.engine
Same as MersenneTwister except that method raw() returns 64 bit random numbers instead of 32 bit random numbers.
MersenneTwister64() - Constructor for class cern.jet.random.engine.MersenneTwister64
Constructs and returns a random number generator with a default seed, which is a constant.
MersenneTwister64(int) - Constructor for class cern.jet.random.engine.MersenneTwister64
Constructs and returns a random number generator with the given seed.
MersenneTwister64(Date) - Constructor for class cern.jet.random.engine.MersenneTwister64
Constructs and returns a random number generator seeded with the given date.
meter - Static variable in class cern.clhep.Units
 
meter2 - Static variable in class cern.clhep.Units
 
meter3 - Static variable in class cern.clhep.Units
 
metreToFoot(double) - Static method in class flanagan.math.Fmath
 
metreToYard(double) - Static method in class flanagan.math.Fmath
 
MeV - Static variable in class cern.clhep.Units
 
mg - Static variable in class cern.clhep.Units
 
microampere - Static variable in class cern.clhep.Units
 
microbarn - Static variable in class cern.clhep.Units
 
microfarad - Static variable in class cern.clhep.Units
 
micrometer - Static variable in class cern.clhep.Units
 
microsecond - Static variable in class cern.clhep.Units
 
midpoint(double, double) - Static method in class org.apache.commons.math.analysis.UnivariateRealSolverUtils
Compute the midpoint of two values.
MightyStaticBin1D - Class in cern.hep.aida.bin
Static and the same as its superclass, except that it can do more: Additionally computes moments of arbitrary integer order, harmonic mean, geometric mean, etc.
MightyStaticBin1D() - Constructor for class cern.hep.aida.bin.MightyStaticBin1D
Constructs and returns an empty bin with limited functionality but good performance; equivalent to MightyStaticBin1D(false,false,4).
MightyStaticBin1D(boolean, boolean, int) - Constructor for class cern.hep.aida.bin.MightyStaticBin1D
Constructs and returns an empty bin with the given capabilities.
milePerGallonToKmPerLitre(double) - Static method in class flanagan.math.Fmath
 
mileToKm(double) - Static method in class flanagan.math.Fmath
 
milliampere - Static variable in class cern.clhep.Units
 
millibarn - Static variable in class cern.clhep.Units
 
millifarad - Static variable in class cern.clhep.Units
 
milligram - Static variable in class cern.clhep.Units
 
millimeter - Static variable in class cern.clhep.Units
 
millimeter2 - Static variable in class cern.clhep.Units
 
millimeter3 - Static variable in class cern.clhep.Units
 
millimetreToInch(double) - Static method in class flanagan.math.Fmath
 
milliradian - Static variable in class cern.clhep.Units
 
millis() - Method in class cern.colt.Timer
Returns the elapsed time in milli seconds; does not stop the timer, if started.
millisecond - Static variable in class cern.clhep.Units
 
min() - Method in class cern.hep.aida.bin.AbstractBin1D
Returns the minimum.
min - Static variable in class cern.hep.aida.bin.BinFunctions1D
Function that returns bin.min().
min() - Method in class cern.hep.aida.bin.DynamicBin1D
Returns the minimum.
min() - Method in class cern.hep.aida.bin.StaticBin1D
Returns the minimum.
min - Static variable in class cern.jet.math.Functions
Function that returns Math.min(a,b).
min(double) - Static method in class cern.jet.math.Functions
Constructs a function that returns Math.min(a,b).
min - Static variable in class cern.jet.math.IntFunctions
Function that returns Math.min(a,b).
min(int) - Static method in class cern.jet.math.IntFunctions
Constructs a function that returns Math.min(a,b).
min(DoubleArrayList) - Static method in class cern.jet.stat.Descriptive
Returns the smallest member of a data sequence.
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(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.
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
minimalGumbelArray(double, double, int) - Method in class flanagan.math.PsRandom
 
Minimisation - Class in flanagan.math
 
Minimisation() - Constructor for class flanagan.math.Minimisation
 
MinimisationFunction - Interface in flanagan.math
 
minimum(double[]) - Static method in class flanagan.math.Fmath
 
minimum(float[]) - Static method in class flanagan.math.Fmath
 
minimum(int[]) - Static method in class flanagan.math.Fmath
 
minimum(long[]) - Static method in class flanagan.math.Fmath
 
minimum() - Method in class hep.aida.ref.tuple.AbstractTuple.AbstractTupleColumnFactory.BaseTupleColumn
 
minimum() - Method in class hep.aida.ref.tuple.TupleColumn
 
MinMaxNumberList - Class in cern.colt.list
Resizable compressed list holding numbers; based on the fact that a value in a given interval need not take more than log(max-min+1) bits; implemented with a cern.colt.bitvector.BitVector.
MinMaxNumberList(long, long, int) - Constructor for class cern.colt.list.MinMaxNumberList
Constructs an empty list with the specified initial capacity and the specified range of values allowed to be hold in this list.
minus(DoubleMatrix1D, double) - Static method in class cern.colt.matrix.doublealgo.Transform
Deprecated. A = A - s <=> A[i] = A[i] - s.
minus(DoubleMatrix1D, DoubleMatrix1D) - Static method in class cern.colt.matrix.doublealgo.Transform
Deprecated. A = A - B <=> A[i] = A[i] - B[i].
minus(DoubleMatrix2D, double) - Static method in class cern.colt.matrix.doublealgo.Transform
Deprecated. A = A - s <=> A[row,col] = A[row,col] - s.
minus(DoubleMatrix2D, DoubleMatrix2D) - Static method in class cern.colt.matrix.doublealgo.Transform
Deprecated. A = A - B <=> A[row,col] = A[row,col] - B[row,col].
minus(Timer) - Method in class cern.colt.Timer
T = this - other; Constructs and returns a new timer which is the difference of the receiver and the other timer.
minus - Static variable in class cern.jet.math.Functions
Function that returns a - b.
minus(double) - Static method in class cern.jet.math.Functions
Constructs a function that returns a - b.
minus - Static variable in class cern.jet.math.IntFunctions
Function that returns a - b.
minus(int) - Static method in class cern.jet.math.IntFunctions
Constructs a function that returns a - b.
minus(ErrorProp, double) - Method in class flanagan.analysis.ErrorProp
 
minus(ErrorProp, ErrorProp, double) - Static method in class flanagan.analysis.ErrorProp
 
minus(ErrorProp) - Method in class flanagan.analysis.ErrorProp
 
minus(ErrorProp, ErrorProp) - Static method in class flanagan.analysis.ErrorProp
 
minus(double) - Method in class flanagan.analysis.ErrorProp
 
minus(double, ErrorProp) - Static method in class flanagan.analysis.ErrorProp
 
minus(double, double) - Static method in class flanagan.analysis.ErrorProp
 
minus(Matrix) - Method in class flanagan.math.Matrix
 
minus(double[][]) - Method in class flanagan.math.Matrix
 
minus(Matrix, Matrix) - Static method in class flanagan.math.Matrix
 
MINUS_INF() - Method in class hep.aida.ref.function.RangeSet
 
minusDiv(double) - Static method in class cern.jet.math.PlusMult
a - b/constant.
minusEquals(ErrorProp, double) - Method in class flanagan.analysis.ErrorProp
 
minusEquals(ErrorProp) - Method in class flanagan.analysis.ErrorProp
 
minusEquals(double) - Method in class flanagan.analysis.ErrorProp
 
minusEquals(Matrix) - Method in class flanagan.math.Matrix
 
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
 
minusMult(DoubleMatrix1D, DoubleMatrix1D, double) - Static method in class cern.colt.matrix.doublealgo.Transform
Deprecated. A = A - B*s <=> A[i] = A[i] - B[i]*s.
minusMult(DoubleMatrix2D, DoubleMatrix2D, double) - Static method in class cern.colt.matrix.doublealgo.Transform
Deprecated. A = A - B*s <=> A[row,col] = A[row,col] - B[row,col]*s.
minusMult(double) - Static method in class cern.jet.math.Functions
Constructs a function that returns a - b*constant.
minusMult(double) - Static method in class cern.jet.math.PlusMult
a - b*constant.
minusOne() - Static method in class flanagan.analysis.ErrorProp
 
minutes() - Method in class cern.colt.Timer
Returns the elapsed time in minutes; does not stop the timer, if started.
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.
mm - Static variable in class cern.clhep.Units
 
mm2 - Static variable in class cern.clhep.Units
 
mm3 - Static variable in class cern.clhep.Units
 
mod - Static variable in class cern.jet.math.Functions
Function that returns a % b.
mod(double) - Static method in class cern.jet.math.Functions
Constructs a function that returns a % b.
mod - Static variable in class cern.jet.math.IntFunctions
Function that returns a % b.
mod(int) - Static method in class cern.jet.math.IntFunctions
Constructs a function that returns a % b.
modBesselIo(double) - Static method in class flanagan.math.FourierTransform
 
modifyName(String) - Static method in class hep.aida.ref.AidaUtils
 
molarToPercentWeightByVol(double, double) - Static method in class flanagan.math.Fmath
 
mole - Static variable in class cern.clhep.Units
 
moment(int, double) - Method in class cern.hep.aida.bin.DynamicBin1D
Returns the moment of k-th order with value c, which is Sum( (x[i]-c)k ) / size().
moment(int, double) - Method in class cern.hep.aida.bin.MightyStaticBin1D
Returns the moment of k-th order with value c, which is Sum( (x[i]-c)k ) / size().
moment(int, double, int, double[]) - Static method in class cern.jet.stat.Descriptive
Returns the moment of k-th order with constant c of a data sequence, which is Sum( (data[i]-c)k ) / data.size().
moment(DoubleArrayList, int, double) - Static method in class cern.jet.stat.Descriptive
Returns the moment of k-th order with constant c of a data sequence, which is Sum( (data[i]-c)k ) / data.size().
mostSignificantBit(int) - Static method in class cern.colt.bitvector.QuickBitVector
Returns the index of the most significant bit in state "true".
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.
move(String, String) - Method in class jhplot.P1D
Transform a P1D data holder to some function with error propagation (for both levels)
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
 
mrad - Static variable in class cern.clhep.Units
 
ms - Static variable in class cern.clhep.Units
 
mu0 - Static variable in class cern.clhep.PhysicalConstants
 
MU_0 - Static variable in class flanagan.math.Fmath
 
mul(Binner1D, Binner1D, Binner1D) - Static method in class hep.aida.ref.histogram.binner.BinnerMath
 
mulAndCheck(int, int) - Static method in class org.apache.commons.math.util.MathUtils
Multiply two integers, checking for overflow.
mult(DoubleMatrix1D, double) - Static method in class cern.colt.matrix.doublealgo.Transform
Deprecated. A = A * s <=> A[i] = A[i] * s.
mult(DoubleMatrix1D, DoubleMatrix1D) - Static method in class cern.colt.matrix.doublealgo.Transform
Deprecated. A = A * B <=> A[i] = A[i] * B[i].
mult(DoubleMatrix2D, double) - Static method in class cern.colt.matrix.doublealgo.Transform
Deprecated. A = A * s <=> A[row,col] = A[row,col] * s.
mult(DoubleMatrix2D, DoubleMatrix2D) - Static method in class cern.colt.matrix.doublealgo.Transform
Deprecated. A = A * B <=> A[row,col] = A[row,col] * B[row,col].
mult(DoubleMatrix1D, DoubleMatrix1D) - Method in class cern.colt.matrix.linalg.Algebra
Inner product of two vectors; Sum(x[i] * y[i]).
mult(DoubleMatrix2D, DoubleMatrix1D) - Method in class cern.colt.matrix.linalg.Algebra
Linear algebraic matrix-vector multiplication; z = A * y.
mult(DoubleMatrix2D, DoubleMatrix2D) - Method in class cern.colt.matrix.linalg.Algebra
Linear algebraic matrix-matrix multiplication; C = A x B.
mult - Static variable in class cern.jet.math.Functions
Function that returns a * b.
mult(double) - Static method in class cern.jet.math.Functions
Constructs a function that returns a * b.
mult - Static variable in class cern.jet.math.IntFunctions
Function that returns a * b.
mult(int) - Static method in class cern.jet.math.IntFunctions
Constructs a function that returns a * b.
Mult - Class in cern.jet.math
Only for performance tuning of compute intensive linear algebraic computations.
mult(double) - Static method in class cern.jet.math.Mult
a * constant.
MULTIPLICATIVE_MODE - Static variable in class org.apache.commons.math.util.ResizableDoubleArray
multiplicative expansion mode
multiplicator - Variable in class cern.jet.math.Mult
Public read/write access to avoid frequent object construction.
multiplicator - Variable in class cern.jet.math.PlusMult
Public read/write access to avoid frequent object construction.
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(Complex) - Method in class org.apache.commons.math.complex.Complex
Return the product of this complex number and the given complex number.
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(BigMatrix) - Method in interface org.apache.commons.math.linear.BigMatrix
Returns the result of postmultiplying this by m.
multiply(BigMatrix) - Method in class org.apache.commons.math.linear.BigMatrixImpl
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
Returns the result of postmultiplying this by m.
multOuter(DoubleMatrix1D, DoubleMatrix1D, DoubleMatrix2D) - Method in class cern.colt.matrix.linalg.Algebra
Outer product of two vectors; Sets A[i,j] = x[i] * y[j].
mv(String, String) - Method in class hep.aida.ref.tree.Tree
Move an IManagedObject or a directory from one directory to another.

N

N_AVAGADRO - Static variable in class flanagan.math.Fmath
 
name() - Method in interface cern.hep.aida.bin.BinFunction1D
Returns the name of this function.
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"
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
 
nanoampere - Static variable in class cern.clhep.Units
 
nanobarn - Static variable in class cern.clhep.Units
 
nanofarad - Static variable in class cern.clhep.Units
 
nanometer - Static variable in class cern.clhep.Units
 
nanosecond - Static variable in class cern.clhep.Units
 
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
 
nearestElementIndex(double[], double) - Static method in class flanagan.math.Fmath
 
nearestElementIndex(int[], int) - Static method in class flanagan.math.Fmath
 
nearestElementValue(double[], double) - Static method in class flanagan.math.Fmath
 
nearestElementValue(int[], int) - Static method in class flanagan.math.Fmath
 
nearestHigherElementIndex(double[], double) - Static method in class flanagan.math.Fmath
 
nearestHigherElementIndex(int[], int) - Static method in class flanagan.math.Fmath
 
nearestHigherElementValue(double[], double) - Static method in class flanagan.math.Fmath
 
nearestHigherElementValue(int[], int) - Static method in class flanagan.math.Fmath
 
nearestLowerElementIndex(double[], double) - Static method in class flanagan.math.Fmath
 
nearestLowerElementIndex(int[], int) - Static method in class flanagan.math.Fmath
 
nearestLowerElementValue(double[], double) - Static method in class flanagan.math.Fmath
 
nearestLowerElementValue(int[], int) - Static method in class flanagan.math.Fmath
 
neg - Static variable in class cern.jet.math.Functions
Function that returns -a.
neg - Static variable in class cern.jet.math.IntFunctions
Function that returns -a.
negate(DoubleMatrix1D) - Static method in class cern.colt.matrix.doublealgo.Transform
Deprecated. A = -A <=> A[i] = -A[i] for all cells.
negate(DoubleMatrix2D) - Static method in class cern.colt.matrix.doublealgo.Transform
Deprecated. A = -A <=> A[row,col] = -A[row,col].
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.fraction.Fraction
Return the additive inverse of this fraction.
NegativeBinomial - Class in cern.jet.random
Negative Binomial distribution; See the math definition.
NegativeBinomial(int, double, RandomEngine) - Constructor for class cern.jet.random.NegativeBinomial
Constructs a Negative Binomial distribution.
negativeBinomial(int, int, double) - Static method in class cern.jet.stat.Probability
Returns the sum of the terms 0 through k of the Negative Binomial Distribution.
negativeBinomialComplemented(int, int, double) - Static method in class cern.jet.stat.Probability
Returns the sum of the terms k+1 to infinity of the Negative Binomial distribution.
nelderMead(MaximisationFunction, double[], double[], double, int) - Method in class flanagan.math.Maximisation
 
nelderMead(MaximisationFunction, double[], double[], double) - Method in class flanagan.math.Maximisation
 
nelderMead(MaximisationFunction, double[], double[], int) - Method in class flanagan.math.Maximisation
 
nelderMead(MaximisationFunction, double[], double[]) - Method in class flanagan.math.Maximisation
 
nelderMead(MaximisationFunction, double[], double, int) - Method in class flanagan.math.Maximisation
 
nelderMead(MaximisationFunction, double[], double) - Method in class flanagan.math.Maximisation
 
nelderMead(MaximisationFunction, double[], int) - Method in class flanagan.math.Maximisation
 
nelderMead(MaximisationFunction, double[]) - Method in class flanagan.math.Maximisation
 
nelderMead(MinimisationFunction, double[], double[], double, int) - Method in class flanagan.math.Minimisation
 
nelderMead(MinimisationFunction, double[], double[], double) - Method in class flanagan.math.Minimisation
 
nelderMead(MinimisationFunction, double[], double[], int) - Method in class flanagan.math.Minimisation
 
nelderMead(MinimisationFunction, double[], double[]) - Method in class flanagan.math.Minimisation
 
nelderMead(MinimisationFunction, double[], double, int) - Method in class flanagan.math.Minimisation
 
nelderMead(MinimisationFunction, double[], double) - Method in class flanagan.math.Minimisation
 
nelderMead(MinimisationFunction, double[], int) - Method in class flanagan.math.Minimisation
 
nelderMead(MinimisationFunction, double[]) - Method in class flanagan.math.Minimisation
 
neutron_mass_c2 - Static variable in class cern.clhep.PhysicalConstants
 
newBisectionSolver(UnivariateRealFunction) - Method in class org.apache.commons.math.analysis.UnivariateRealSolverFactory
Create a new UnivariateRealSolver for the given function.
newBisectionSolver(UnivariateRealFunction) - Method in class org.apache.commons.math.analysis.UnivariateRealSolverFactoryImpl
Create a new UnivariateRealSolver for the given function.
newBrentSolver(UnivariateRealFunction) - Method in class org.apache.commons.math.analysis.UnivariateRealSolverFactory
Create a new UnivariateRealSolver for the given function.
newBrentSolver(UnivariateRealFunction) - Method in class org.apache.commons.math.analysis.UnivariateRealSolverFactoryImpl
Create a new UnivariateRealSolver for the given function.
newDefaultSolver(UnivariateRealFunction) - Method in class org.apache.commons.math.analysis.UnivariateRealSolverFactory
Create a new UnivariateRealSolver for the given function.
newDefaultSolver(UnivariateRealFunction) - Method in class org.apache.commons.math.analysis.UnivariateRealSolverFactoryImpl
Create a new UnivariateRealSolver for the given function.
newDoubleQuantileFinder(boolean, long, double, double, int, RandomEngine) - Static method in class cern.jet.stat.quantile.QuantileFinderFactory
Returns a quantile finder that minimizes the amount of memory needed under the user provided constraints.
newEquiDepthPhis(int) - Static method in class cern.jet.stat.quantile.QuantileFinderFactory
Convenience method that computes phi's for equi-depth histograms.
newInstance() - Static method in class org.apache.commons.math.analysis.UnivariateRealSolverFactory
Create a new factory.
newInstance() - Static method in class org.apache.commons.math.distribution.DistributionFactory
Create an instance of a DistributionFactory
newInstance(Class) - Static method in class org.apache.commons.math.stat.descriptive.DescriptiveStatistics
Create an instance of a DescriptiveStatistics
newInstance() - Static method in class org.apache.commons.math.stat.descriptive.DescriptiveStatistics
Create an instance of a DescriptiveStatistics
newInstance(Class) - Static method in class org.apache.commons.math.stat.descriptive.SummaryStatistics
Create an instance of a SummaryStatistics
newInstance() - Static method in class org.apache.commons.math.stat.descriptive.SummaryStatistics
Create an instance of a SummaryStatistics
newInstance() - Static method in class org.apache.commons.math.stat.inference.TestFactory
Create an instance of a TestFactory
newInternalCursor() - Method in class hep.aida.ref.tuple.AbstractTuple
 
newNewtonSolver(DifferentiableUnivariateRealFunction) - Method in class org.apache.commons.math.analysis.UnivariateRealSolverFactory
Create a new UnivariateRealSolver for the given function.
newNewtonSolver(DifferentiableUnivariateRealFunction) - Method in class org.apache.commons.math.analysis.UnivariateRealSolverFactoryImpl
Create a new UnivariateRealSolver for the given function.
newSecantSolver(UnivariateRealFunction) - Method in class org.apache.commons.math.analysis.UnivariateRealSolverFactory
Create a new UnivariateRealSolver for the given function.
newSecantSolver(UnivariateRealFunction) - Method in class org.apache.commons.math.analysis.UnivariateRealSolverFactoryImpl
Create a new UnivariateRealSolver for the given function.
newton - Static variable in class cern.clhep.Units
 
NewtonSolver - Class in org.apache.commons.math.analysis
Implements Newton's Method for finding zeros of real univariate functions.
NewtonSolver(DifferentiableUnivariateRealFunction) - Constructor for class org.apache.commons.math.analysis.NewtonSolver
Construct a solver for the given function.
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
 
nextBeta(double, double) - Method in class flanagan.math.PsRandom
 
nextBeta(double, double, double, double) - Method in class flanagan.math.PsRandom
 
nextBinomial(double, int) - Method in class flanagan.math.PsRandom
 
nextBit() - Method in class flanagan.math.PsRandom
 
nextBitM1() - Method in class flanagan.math.PsRandom
 
nextBitM2() - Method in class flanagan.math.PsRandom
 
nextBlock(int, long[], int) - Method in class cern.jet.random.sampling.RandomSampler
Computes the next count random numbers of the sorted random set specified on instance construction and fills them into values, starting at index fromIndex.
nextBoolean() - Method in class cern.jet.random.Uniform
Returns a uniformly distributed random boolean.
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.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.
nextBurr1(double, int, RandomEngine) - Static method in class cern.jet.random.Distributions
Returns a random number from the Burr II, VII, VIII, X Distributions.
nextBurr2(double, double, int, RandomEngine) - Static method in class cern.jet.random.Distributions
Returns a random number from the Burr III, IV, V, VI, IX, XII distributions.
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.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(RandomEngine) - Static method in class cern.jet.random.Distributions
Returns a cauchy distributed random number from the standard Cauchy distribution C(0,1).
nextDouble() - Method in class cern.jet.random.AbstractDiscreteDistribution
Returns a random number from the distribution; returns (double) nextInt().
nextDouble() - Method in class cern.jet.random.AbstractDistribution
Returns a random number from the distribution.
nextDouble() - Method in class cern.jet.random.Beta
Returns a random number from the distribution.
nextDouble(double, double) - Method in class cern.jet.random.Beta
Returns a beta distributed random number; bypasses the internal state.
nextDouble() - Method in class cern.jet.random.BreitWigner
Returns a random number from the distribution.
nextDouble(double, double, double) - Method in class cern.jet.random.BreitWigner
Returns a random number from the distribution; bypasses the internal state.
nextDouble(double, double, double) - Method in class cern.jet.random.BreitWignerMeanSquare
Returns a mean-squared random number from the distribution; bypasses the internal state.
nextDouble() - Method in class cern.jet.random.ChiSquare
Returns a random number from the distribution.
nextDouble(double) - Method in class cern.jet.random.ChiSquare
Returns a random number from the distribution; bypasses the internal state.
nextDouble() - Method in class cern.jet.random.Empirical
Returns a random number from the distribution.
nextDouble() - Method in class cern.jet.random.engine.RandomEngine
Returns a 64 bit uniformly distributed random number in the open unit interval (0.0,1.0) (excluding 0.0 and 1.0).
nextDouble() - Method in interface cern.jet.random.engine.RandomGenerator
Returns a 64 bit uniformly distributed random number in the open unit interval (0.0,1.0) (excluding 0.0 and 1.0).
nextDouble() - Method in class cern.jet.random.Exponential
Returns a random number from the distribution.
nextDouble(double) - Method in class cern.jet.random.Exponential
Returns a random number from the distribution; bypasses the internal state.
nextDouble() - Method in class cern.jet.random.ExponentialPower
Returns a random number from the distribution.
nextDouble(double) - Method in class cern.jet.random.ExponentialPower
Returns a random number from the distribution; bypasses the internal state.
nextDouble() - Method in class cern.jet.random.Gamma
Returns a random number from the distribution.
nextDouble(double, double) - Method in class cern.jet.random.Gamma
Returns a random number from the distribution; bypasses the internal state.
nextDouble() - Method in class cern.jet.random.Hyperbolic
Returns a random number from the distribution.
nextDouble(double, double) - Method in class cern.jet.random.Hyperbolic
Returns a hyperbolic distributed random number; bypasses the internal state.
nextDouble() - Method in class cern.jet.random.Logarithmic
Returns a random number from the distribution.
nextDouble(double) - Method in class cern.jet.random.Logarithmic
Returns a random number from the distribution; bypasses the internal state.
nextDouble() - Method in class cern.jet.random.Normal
Returns a random number from the distribution.
nextDouble(double, double) - Method in class cern.jet.random.Normal
Returns a random number from the distribution; bypasses the internal state.
nextDouble() - Method in class cern.jet.random.StudentT
Returns a random number from the distribution.
nextDouble(double) - Method in class cern.jet.random.StudentT
Returns a random number from the distribution; bypasses the internal state.
nextDouble() - Method in class cern.jet.random.Uniform
Returns a uniformly distributed random number in the open interval (min,max) (excluding min and max).
nextDouble() - Method in class cern.jet.random.VonMises
Returns a random number from the distribution.
nextDouble(double) - Method in class cern.jet.random.VonMises
Returns a random number from the distribution; bypasses the internal state.
nextDouble() - Method in class flanagan.math.PsRandom
 
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.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.
nextDoubleFromTo(double, double) - Method in class cern.jet.random.Uniform
Returns a uniformly distributed random number in the open interval (from,to) (excluding from and to).
nextErlang(double, double, RandomEngine) - Static method in class cern.jet.random.Distributions
Returns an erlang distributed random number with the given variance and mean.
nextErlang(double, int) - Method in class flanagan.math.PsRandom
 
nextExponential(double, double) - Method in class flanagan.math.PsRandom
 
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(int, int, int) - Method in class flanagan.math.PsRandom
 
nextFloat() - Method in class cern.jet.random.engine.RandomEngine
Returns a 32 bit uniformly distributed random number in the open unit interval (0.0f,1.0f) (excluding 0.0f and 1.0f).
nextFloat() - Method in interface cern.jet.random.engine.RandomGenerator
Returns a 32 bit uniformly distributed random number in the open unit interval (0.0f,1.0f) (excluding 0.0f and 1.0f).
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.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.
nextFloatFromTo(float, float) - Method in class cern.jet.random.Uniform
Returns a uniformly distributed random number in the open interval (from,to) (excluding from and to).
nextFrechet(double, double, double) - Method in class flanagan.math.PsRandom
 
nextGamma(double, double, double) - Method in class flanagan.math.PsRandom
 
nextGaussian(double, double) - Method in class flanagan.math.PsRandom
 
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.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.
nextGeometric(double, RandomEngine) - Static method in class cern.jet.random.Distributions
Returns a discrete geometric distributed random number; Definition.
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
Algorithm Description: hex strings are generated using a 2-step process.
nextInt() - Method in class cern.jet.random.AbstractDiscreteDistribution
Returns a random number from the distribution.
nextInt() - Method in class cern.jet.random.AbstractDistribution
Returns a random number from the distribution; returns (int) Math.round(nextDouble()).
nextInt() - Method in class cern.jet.random.Binomial
Returns a random number from the distribution.
nextInt(int, double) - Method in class cern.jet.random.Binomial
Returns a random number from the distribution with the given parameters n and p; bypasses the internal state.
nextInt() - Method in class cern.jet.random.EmpiricalWalker
Returns a random integer k with probability pdf(k).
nextInt() - Method in class cern.jet.random.engine.DRand
Returns a 32 bit uniformly distributed random number in the closed interval [Integer.MIN_VALUE,Integer.MAX_VALUE] (including Integer.MIN_VALUE and Integer.MAX_VALUE).
nextInt() - Method in class cern.jet.random.engine.MersenneTwister
Returns a 32 bit uniformly distributed random number in the closed interval [Integer.MIN_VALUE,Integer.MAX_VALUE] (including Integer.MIN_VALUE and Integer.MAX_VALUE).
nextInt() - Method in class cern.jet.random.engine.RandomEngine
Returns a 32 bit uniformly distributed random number in the closed interval [Integer.MIN_VALUE,Integer.MAX_VALUE] (including Integer.MIN_VALUE and Integer.MAX_VALUE);
nextInt() - Method in interface cern.jet.random.engine.RandomGenerator
Returns a 32 bit uniformly distributed random number in the closed interval [Integer.MIN_VALUE,Integer.MAX_VALUE] (including Integer.MIN_VALUE and Integer.MAX_VALUE);
nextInt() - Method in class cern.jet.random.HyperGeometric
Returns a random number from the distribution.
nextInt(int, int, int) - Method in class cern.jet.random.HyperGeometric
Returns a random number from the distribution; bypasses the internal state.
nextInt() - Method in class cern.jet.random.NegativeBinomial
Returns a random number from the distribution.
nextInt(int, double) - Method in class cern.jet.random.NegativeBinomial
Returns a random number from the distribution; bypasses the internal state.
nextInt() - Method in class cern.jet.random.Poisson
Returns a random number from the distribution.
nextInt(double) - Method in class cern.jet.random.Poisson
Returns a random number from the distribution; bypasses the internal state.
nextInt() - Method in class cern.jet.random.PoissonSlow
Returns a random number from the distribution.
nextInt() - Method in class cern.jet.random.Uniform
Returns a uniformly distributed random number in the closed interval [min,max] (including min and max).
nextInt() - Method in class cern.jet.random.Zeta
Returns a random number from the 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.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.
nextIntFromTo(int, int) - Method in class cern.jet.random.Uniform
Returns a uniformly distributed random number in the closed interval [from,to] (including from and to).
nextLambda(double, double, RandomEngine) - Static method in class cern.jet.random.Distributions
Returns a lambda distributed random number with parameters l3 and l4.
nextLaplace(RandomEngine) - Static method in class cern.jet.random.Distributions
Returns a Laplace (Double Exponential) distributed random number from the standard Laplace distribution L(0,1).
nextLogistic(RandomEngine) - Static method in class cern.jet.random.Distributions
Returns a random number from the standard Logistic distribution Log(0,1).
nextLogistic(double, double, int) - Method in class flanagan.math.PsRandom
 
nextLogistic(double, double) - Method in class flanagan.math.PsRandom
 
nextLong() - Method in class cern.jet.random.engine.RandomEngine
Returns a 64 bit uniformly distributed random number in the closed interval [Long.MIN_VALUE,Long.MAX_VALUE] (including Long.MIN_VALUE and Long.MAX_VALUE).
nextLong() - Method in interface cern.jet.random.engine.RandomGenerator
Returns a 64 bit uniformly distributed random number in the closed interval [Long.MIN_VALUE,Long.MAX_VALUE] (including Long.MIN_VALUE and Long.MAX_VALUE).
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.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.
nextLongFromTo(long, long) - Method in class cern.jet.random.Uniform
Returns a uniformly distributed random number in the closed interval [from,to] (including from and to).
nextLorentzian(double, double) - Method in class flanagan.math.PsRandom
 
nextMaximalGumbel(double, double) - Method in class flanagan.math.PsRandom
 
nextMinimalGumbel(double, double) - Method in class flanagan.math.PsRandom
 
nextPareto(double, double) - Method in class flanagan.math.PsRandom
 
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
Uses a 2-cycle permutation shuffle to generate a random permutation.
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 long value from the Poisson distribution with the given mean.
nextPoissonian(double) - Method in class flanagan.math.PsRandom
 
nextPowerOfTwo(int) - Static method in class flanagan.math.FourierTransform
 
nextPowLaw(double, double, RandomEngine) - Static method in class cern.jet.random.Distributions
Returns a power-law distributed random number with the given exponent and lower cutoff.
nextPrime(int) - Static method in class cern.colt.map.PrimeFinder
Returns a prime number which is >= desiredCapacity and very close to desiredCapacity (within 11% if desiredCapacity >= 1000).
nextRayleigh(double) - Method in class flanagan.math.PsRandom
 
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
Algorithm Description: hex strings are generated in 40-byte segments using a 3-step process.
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.
nextSeed() - Method in class cern.jet.random.engine.RandomSeedGenerator
Returns the next seed.
nextStudentT(int) - Method in class flanagan.math.PsRandom
 
nextTriangular(RandomEngine) - Static method in class cern.jet.random.Distributions
Returns a random number from the standard Triangular distribution in (-1,1).
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
Algorithm Description: scales the output of Random.nextDouble(), but rejects 0 values (i.e., will generate another random double if Random.nextDouble() returns 0).
nextWeibull(double, double, RandomEngine) - Static method in class cern.jet.random.Distributions
Returns a weibull distributed random number.
nextWeibull(double, double, double) - Method in class flanagan.math.PsRandom
 
nextZipfInt(double, RandomEngine) - Static method in class cern.jet.random.Distributions
Returns a zipfian distributed random number with the given skew.
nFunctions() - Method in class hep.aida.ref.function.SumOfFunctions
 
nmToEv(double) - Static method in class flanagan.math.Fmath
 
NO_INTERPOLATION - Static variable in class cern.jet.random.Empirical
 
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
 
NonParametricFunction - Class in hep.aida.ref.function
 
NonParametricFunction(String, IFitData) - Constructor for class hep.aida.ref.function.NonParametricFunction
 
norm1(DoubleMatrix1D) - Method in class cern.colt.matrix.linalg.Algebra
Returns the one-norm of vector x, which is Sum(abs(x[i])).
norm1(DoubleMatrix2D) - Method in class cern.colt.matrix.linalg.Algebra
Returns the one-norm of matrix A, which is the maximum absolute column sum.
norm2(DoubleMatrix1D) - Method in class cern.colt.matrix.linalg.Algebra
Returns the two-norm (aka euclidean norm) of vector x; equivalent to mult(x,x).
norm2(DoubleMatrix2D) - Method in class cern.colt.matrix.linalg.Algebra
Returns the two-norm of matrix A, which is the maximum singular value; obtained from SVD.
norm2() - Method in class cern.colt.matrix.linalg.SingularValueDecomposition
Returns the two norm, which is max(S).
Normal - Class in cern.jet.random
Normal (aka Gaussian) distribution; See the math definition and animated definition.
Normal(double, double, RandomEngine) - Constructor for class cern.jet.random.Normal
Constructs a normal (gauss) distribution.
normal(double) - Static method in class cern.jet.stat.Probability
Returns the area under the Normal (Gaussian) probability density function, integrated from minus infinity to x (assumes mean is zero, variance is one).
normal(double, double, double) - Static method in class cern.jet.stat.Probability
Returns the area under the Normal (Gaussian) probability density function, integrated from minus infinity to x.
normal() - Method in class flanagan.analysis.Regression
 
normal(double, double, double) - Static method in class flanagan.analysis.Stat
 
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.
normalCDF(double, double, double) - Static method in class flanagan.analysis.Stat
 
normalCDF(double, double, double, double) - Static method in class flanagan.analysis.Stat
 
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() - Constructor for class org.apache.commons.math.distribution.NormalDistributionImpl
Creates normal distribution with the mean equal to zero and standard deviation equal to one.
normalInverse(double) - Static method in class cern.jet.stat.Probability
Returns the value, x, for which the area under the Normal (Gaussian) probability density function (integrated from minus infinity to x) is equal to the argument y (assumes mean is zero, variance is one); formerly named ndtri.
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.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
 
normalPDF(double, double, double) - Static method in class flanagan.analysis.Stat
 
normalPlot() - Method in class flanagan.analysis.Regression
 
normalProb(double, double, double) - Static method in class flanagan.analysis.Stat
 
normalProb(double, double, double, double) - Static method in class flanagan.analysis.Stat
 
normalRand(double, double, int) - Static method in class flanagan.analysis.Stat
 
normalRand(double, double, int, long) - Static method in class flanagan.analysis.Stat
 
normF(DoubleMatrix2D) - Method in class cern.colt.matrix.linalg.Algebra
Returns the Frobenius norm of matrix A, which is Sqrt(Sum(A[i,j]2)).
normInfinity(DoubleMatrix1D) - Method in class cern.colt.matrix.linalg.Algebra
Returns the infinity norm of vector x, which is Max(abs(x[i])).
normInfinity(DoubleMatrix2D) - Method in class cern.colt.matrix.linalg.Algebra
Returns the infinity norm of matrix A, which is the maximum absolute row sum.
not() - Method in class cern.colt.bitvector.BitMatrix
Performs a logical NOT on the bits of the receiver.
not() - Method in class cern.colt.bitvector.BitVector
Performs a logical NOT on the bits of the receiver (A = ~A).
not - Static variable in class cern.jet.math.IntFunctions
Function that returns ~a.
ns - Static variable in class cern.clhep.Units
 
nthRoot(ErrorProp, int) - Static method in class flanagan.analysis.ErrorProp
 
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
 
NumberTransformer - Interface in org.apache.commons.math.util
Subclasses implementing this interface can transform Objects to doubles.
numericGradient(double[]) - Method in class hep.aida.ref.function.BaseModelFunction
 
numericParameterGradient(double[]) - Method in class hep.aida.ref.function.BaseModelFunction
 

O

ObjectArrayList - Class in cern.colt.list
Resizable list holding Object elements; implemented with arrays.
ObjectArrayList() - Constructor for class cern.colt.list.ObjectArrayList
Constructs an empty list.
ObjectArrayList(Object[]) - Constructor for class cern.colt.list.ObjectArrayList
Constructs a list containing the specified elements.
ObjectArrayList(int) - Constructor for class cern.colt.list.ObjectArrayList
Constructs an empty list with the specified initial capacity.
ObjectBuffer - Class in cern.colt.buffer
Fixed sized (non resizable) streaming buffer connected to a target ObjectBufferConsumer to which data is automatically flushed upon buffer overflow.
ObjectBuffer(ObjectBufferConsumer, int) - Constructor for class cern.colt.buffer.ObjectBuffer
Constructs and returns a new buffer with the given target.
ObjectBufferConsumer - Interface in cern.colt.buffer
Target of a streaming ObjectBuffer into which data is flushed upon buffer overflow.
ObjectFactory1D - Class in cern.colt.matrix
Factory for convenient construction of 1-d matrices holding Object cells.
ObjectFactory2D - Class in cern.colt.matrix
Factory for convenient construction of 2-d matrices holding Object cells.
ObjectFactory3D - Class in cern.colt.matrix
Factory for convenient construction of 3-d matrices holding Object cells.
ObjectFunction - Interface in cern.colt.function
Interface that represents a function object: a function that takes a single argument and returns a single value.
ObjectListAdapter - Class in cern.colt.list.adapter
Adapter that permits an ObjectArrayList to be viewed and treated as a JDK 1.2 AbstractList.
ObjectListAdapter(ObjectArrayList) - Constructor for class cern.colt.list.adapter.ObjectListAdapter
Constructs a list backed by the specified content list.
ObjectMatrix1D - Class in cern.colt.matrix
Abstract base class for 1-d matrices (aka vectors) holding Object elements.
ObjectMatrix1DComparator - Interface in cern.colt.matrix.objectalgo
A comparison function which imposes a total ordering on some collection of elements.
ObjectMatrix1DProcedure - Interface in cern.colt.matrix
Interface that represents a condition or procedure object: takes a single argument and returns a boolean value.
ObjectMatrix2D - Class in cern.colt.matrix
Abstract base class for 2-d matrices holding Object elements.
ObjectMatrix2DComparator - Interface in cern.colt.matrix.objectalgo
A comparison function which imposes a total ordering on some collection of elements.
ObjectMatrix2DProcedure - Interface in cern.colt.matrix
Interface that represents a condition or procedure object: takes a single argument and returns a boolean value.
ObjectMatrix3D - Class in cern.colt.matrix
Abstract base class for 3-d matrices holding Object elements.
ObjectMatrix3DProcedure - Interface in cern.colt.matrix
Interface that represents a condition or procedure object: takes a single argument and returns a boolean value.
ObjectObjectFunction - Interface in cern.colt.function
Interface that represents a function object: a function that takes two arguments and returns a single value.
ObjectProcedure - Interface in cern.colt.function
Interface that represents a procedure object: a procedure that takes a single argument and does not return a value.
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
 
offset() - Method in class cern.hep.aida.bin.AbstractBin
Returns offset(0).
offset(int) - Method in class cern.hep.aida.bin.AbstractBin
Returns the relative or absolute position for the center of the bin; override this method if necessary.
ohm - Static variable in class cern.clhep.Units
 
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.Fraction
A fraction representing "1 / 1".
oneDarray(int) - Static method in class flanagan.analysis.ErrorProp
 
oneDarray(int, double, double) - Static method in class flanagan.analysis.ErrorProp
 
oneDarray(int, ErrorProp) - Static method in class flanagan.analysis.ErrorProp
 
oneDarray(int, int, int) - Static method in class flanagan.interpolation.BiCubicSpline
 
oneDarray(int, int) - Static method in class flanagan.interpolation.CubicSpline
 
oneNorm() - Method in class flanagan.math.Matrix
 
OpenDoubleIntHashMap - Class in cern.colt.map
Hash map holding (key,value) associations of type (double-->int); Automatically grows and shrinks as needed; Implemented using open addressing with double hashing.
OpenDoubleIntHashMap() - Constructor for class cern.colt.map.OpenDoubleIntHashMap
Constructs an empty map with default capacity and default load factors.
OpenDoubleIntHashMap(int) - Constructor for class cern.colt.map.OpenDoubleIntHashMap
Constructs an empty map with the specified initial capacity and default load factors.
OpenDoubleIntHashMap(int, double, double) - Constructor for class cern.colt.map.OpenDoubleIntHashMap
Constructs an empty map with the specified initial capacity and the specified minimum and maximum load factor.
OpenIntDoubleHashMap - Class in cern.colt.map
Hash map holding (key,value) associations of type (int-->double); Automatically grows and shrinks as needed; Implemented using open addressing with double hashing.
OpenIntDoubleHashMap() - Constructor for class cern.colt.map.OpenIntDoubleHashMap
Constructs an empty map with default capacity and default load factors.
OpenIntDoubleHashMap(int) - Constructor for class cern.colt.map.OpenIntDoubleHashMap
Constructs an empty map with the specified initial capacity and default load factors.
OpenIntDoubleHashMap(int, double, double) - Constructor for class cern.colt.map.OpenIntDoubleHashMap
Constructs an empty map with the specified initial capacity and the specified minimum and maximum load factor.
OpenIntIntHashMap - Class in cern.colt.map
Hash map holding (key,value) associations of type (int-->int); Automatically grows and shrinks as needed; Implemented using open addressing with double hashing.
OpenIntIntHashMap() - Constructor for class cern.colt.map.OpenIntIntHashMap
Constructs an empty map with default capacity and default load factors.
OpenIntIntHashMap(int) - Constructor for class cern.colt.map.OpenIntIntHashMap
Constructs an empty map with the specified initial capacity and default load factors.
OpenIntIntHashMap(int, double, double) - Constructor for class cern.colt.map.OpenIntIntHashMap
Constructs an empty map with the specified initial capacity and the specified minimum and maximum load factor.
OpenIntObjectHashMap - Class in cern.colt.map
Hash map holding (key,value) associations of type (int-->Object); Automatically grows and shrinks as needed; Implemented using open addressing with double hashing.
OpenIntObjectHashMap() - Constructor for class cern.colt.map.OpenIntObjectHashMap
Constructs an empty map with default capacity and default load factors.
OpenIntObjectHashMap(int) - Constructor for class cern.colt.map.OpenIntObjectHashMap
Constructs an empty map with the specified initial capacity and default load factors.
OpenIntObjectHashMap(int, double, double) - Constructor for class cern.colt.map.OpenIntObjectHashMap
Constructs an empty map with the specified initial capacity and the specified minimum and maximum load factor.
OpenLongObjectHashMap - Class in cern.colt.map
Hash map holding (key,value) associations of type (long-->Object); Automatically grows and shrinks as needed; Implemented using open addressing with double hashing.
OpenLongObjectHashMap() - Constructor for class cern.colt.map.OpenLongObjectHashMap
Constructs an empty map with default capacity and default load factors.
OpenLongObjectHashMap(int) - Constructor for class cern.colt.map.OpenLongObjectHashMap
Constructs an empty map with the specified initial capacity and default load factors.
OpenLongObjectHashMap(int, double, double) - Constructor for class cern.colt.map.OpenLongObjectHashMap
Constructs an empty map with the specified initial capacity and the specified minimum and maximum load factor.
oper(double) - Method in class jhplot.H1D
Scale of the histogram
oper(int) - Method in class jhplot.H1D
Scale histogram.
oper(String, int) - Method in class jhplot.H1D
Scale the histogram.
oper(String, double) - Method in class jhplot.H1D
Scale the histogram
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(double) - Method in class jhplot.P1D
Scale P1D container
oper(int) - Method in class jhplot.P1D
Scale P1D container by keeping the original title
oper(String, int) - Method in class jhplot.P1D
Scale P1D container
oper(String, double) - Method in class jhplot.P1D
Scale P1D container
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 conatiner: add, subtract, multiply, divide.
oper(P1D, String, String, String, P1D) - Method in class jhplot.P1D
Operations on P1D container: add, subtract, multiply, divide.
operate(BigDecimal[]) - Method in interface org.apache.commons.math.linear.BigMatrix
Returns the result of multiplying this by the vector v.
operate(BigDecimal[]) - Method in class org.apache.commons.math.linear.BigMatrixImpl
Returns the result of multiplying this by the vector v.
operate(double[]) - Method in class org.apache.commons.math.linear.BigMatrixImpl
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(double[]) - Method in class org.apache.commons.math.linear.RealMatrixImpl
 
opposite() - Method in class flanagan.math.Matrix
 
opposite(Matrix) - Static method in class flanagan.math.Matrix
 
optimizer() - Method in class hep.aida.ref.fitter.Fitter
 
or(BitMatrix) - Method in class cern.colt.bitvector.BitMatrix
Performs a logical OR of the receiver with another bit matrix.
or(BitVector) - Method in class cern.colt.bitvector.BitVector
Performs a logical OR of the receiver with another bit vector (A = A | B).
or - Static variable in class cern.jet.math.IntFunctions
Function that returns a | b.
or(int) - Static method in class cern.jet.math.IntFunctions
Constructs a function that returns a | b.
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
Implementations of common numerical analysis procedures, including root finding and function interpolation.
org.apache.commons.math.complex - package org.apache.commons.math.complex
Complex number type and implementations of complex transcendental functions.
org.apache.commons.math.distribution - package org.apache.commons.math.distribution
Implementations of common discrete and continuous distributions.
org.apache.commons.math.fraction - package org.apache.commons.math.fraction
Fraction number type and fraction number formatting.
org.apache.commons.math.linear - package org.apache.commons.math.linear
Linear algebra support.
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.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.regression - package org.apache.commons.math.stat.regression
Statistical routines involving multivariate data.
org.apache.commons.math.util - package org.apache.commons.math.util
Convenience routines and common data structures used throughout the commons-math library.
ounceToGram(double) - Static method in class flanagan.math.Fmath
 
over(ErrorProp, double) - Method in class flanagan.analysis.ErrorProp
 
over(ErrorProp, ErrorProp, double) - Static method in class flanagan.analysis.ErrorProp
 
over(ErrorProp) - Method in class flanagan.analysis.ErrorProp
 
over(ErrorProp, ErrorProp) - Static method in class flanagan.analysis.ErrorProp
 
over(double) - Method in class flanagan.analysis.ErrorProp
 
over(double, ErrorProp) - Static method in class flanagan.analysis.ErrorProp
 
over(double, double) - Static method in class flanagan.analysis.ErrorProp
 
overEquals(ErrorProp) - Method in class flanagan.analysis.ErrorProp
 
overEquals(ErrorProp, double) - Method in class flanagan.analysis.ErrorProp
 
overEquals(double) - Method in class flanagan.analysis.ErrorProp
 

P

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(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(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.
p1evl(double, double[], int) - Static method in class cern.jet.math.Polynomial
Evaluates the given polynomial of degree N at x, assuming coefficient of N is 1.0.
paint(Graphics) - Method in class flanagan.math.FourierTransform
 
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.
pairsMatching(DoubleIntProcedure, DoubleArrayList, IntArrayList) - Method in class cern.colt.map.AbstractDoubleIntMap
Fills all pairs satisfying a given condition into the specified lists.
pairsMatching(IntDoubleProcedure, IntArrayList, DoubleArrayList) - Method in class cern.colt.map.AbstractIntDoubleMap
Fills all pairs satisfying a given condition into the specified lists.
pairsMatching(IntIntProcedure, IntArrayList, IntArrayList) - Method in class cern.colt.map.AbstractIntIntMap
Fills all pairs satisfying a given condition into the specified lists.
pairsMatching(IntObjectProcedure, IntArrayList, ObjectArrayList) - Method in class cern.colt.map.AbstractIntObjectMap
Fills all pairs satisfying a given condition into the specified lists.
pairsMatching(LongObjectProcedure, LongArrayList, ObjectArrayList) - Method in class cern.colt.map.AbstractLongObjectMap
Fills all pairs satisfying a given condition into the specified lists.
pairsMatching(DoubleIntProcedure, DoubleArrayList, IntArrayList) - Method in class cern.colt.map.OpenDoubleIntHashMap
Fills all pairs satisfying a given condition into the specified lists.
pairsMatching(IntDoubleProcedure, IntArrayList, DoubleArrayList) - Method in class cern.colt.map.OpenIntDoubleHashMap
Fills all pairs satisfying a given condition into the specified lists.
pairsMatching(IntIntProcedure, IntArrayList, IntArrayList) - Method in class cern.colt.map.OpenIntIntHashMap
Fills all pairs satisfying a given condition into the specified lists.
pairsMatching(IntObjectProcedure, IntArrayList, ObjectArrayList) - Method in class cern.colt.map.OpenIntObjectHashMap
Fills all pairs satisfying a given condition into the specified lists.
pairsMatching(LongObjectProcedure, LongArrayList, ObjectArrayList) - Method in class cern.colt.map.OpenLongObjectHashMap
Fills all pairs satisfying a given condition into the specified lists.
pairsSortedByKey(DoubleArrayList, IntArrayList) - Method in class cern.colt.map.AbstractDoubleIntMap
Fills all keys and values sorted ascending by key into the specified lists.
pairsSortedByKey(IntArrayList, DoubleArrayList) - Method in class cern.colt.map.AbstractIntDoubleMap
Fills all keys and values sorted ascending by key into the specified lists.
pairsSortedByKey(IntArrayList, IntArrayList) - Method in class cern.colt.map.AbstractIntIntMap
Fills all keys and values sorted ascending by key into the specified lists.
pairsSortedByKey(IntArrayList, ObjectArrayList) - Method in class cern.colt.map.AbstractIntObjectMap
Fills all keys and values sorted ascending by key into the specified lists.
pairsSortedByKey(LongArrayList, ObjectArrayList) - Method in class cern.colt.map.AbstractLongObjectMap
Fills all keys and values sorted ascending by key into the specified lists.
pairsSortedByValue(DoubleArrayList, IntArrayList) - Method in class cern.colt.map.AbstractDoubleIntMap
Fills all keys and values sorted ascending by value into the specified lists.
pairsSortedByValue(IntArrayList, DoubleArrayList) - Method in class cern.colt.map.AbstractIntDoubleMap
Fills all keys and values sorted ascending by value into the specified lists.
pairsSortedByValue(IntArrayList, IntArrayList) - Method in class cern.colt.map.AbstractIntIntMap
Fills all keys and values sorted ascending by value into the specified lists.
pairsSortedByValue(IntArrayList, ObjectArrayList) - Method in class cern.colt.map.AbstractIntObjectMap
Fills all keys and values sorted ascending by value according to natural ordering into the specified lists.
pairsSortedByValue(LongArrayList, ObjectArrayList) - Method in class cern.colt.map.AbstractLongObjectMap
Fills all keys and values sorted ascending by value according to natural ordering into the specified lists.
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
 
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.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
 
pareto() - Method in class flanagan.analysis.Regression
 
pareto(double, double, double) - Static method in class flanagan.analysis.Stat
 
paretoArray(double, double, int) - Method in class flanagan.math.PsRandom
 
paretoCDF(double, double, double) - Static method in class flanagan.analysis.Stat
 
paretoCDF(double, double, double, double) - Static method in class flanagan.analysis.Stat
 
paretoMean(double, double) - Static method in class flanagan.analysis.Stat
 
paretoMode(double) - Static method in class flanagan.analysis.Stat
 
paretoOnePar() - Method in class flanagan.analysis.Regression
 
paretoOneParPlot() - Method in class flanagan.analysis.Regression
 
paretoPDF(double, double, double) - Static method in class flanagan.analysis.Stat
 
paretoPlot() - Method in class flanagan.analysis.Regression
 
paretoProb(double, double, double) - Static method in class flanagan.analysis.Stat
 
paretoProb(double, double, double, double) - Static method in class flanagan.analysis.Stat
 
paretoRand(double, double, int) - Static method in class flanagan.analysis.Stat
 
paretoRand(double, double, int, long) - Static method in class flanagan.analysis.Stat
 
paretoStandDev(double, double) - Static method in class flanagan.analysis.Stat
 
paretoThreePar() - Method in class flanagan.analysis.Regression
 
paretoThreeParPlot() - Method in class flanagan.analysis.Regression
 
paretoTwoPar() - Method in class flanagan.analysis.Regression
 
paretoTwoParPlot() - Method in class flanagan.analysis.Regression
 
parkMiller() - Method in class flanagan.math.PsRandom
 
parse() - Method in class hep.aida.ref.function.JELCompiledExpression
 
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.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.ProperFractionFormat
Parses a string to produce a Fraction object.
parseDirName(String) - Static method in class hep.aida.ref.AidaUtils
 
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.fraction.FractionFormat
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
 
part(int, int, int, int) - Method in class cern.colt.bitvector.BitMatrix
Constructs and returns a new matrix with width columns and height rows which is a copy of the contents of the given box.
partFromTo(int, int) - Method in class cern.colt.bitvector.BitVector
Constructs and returns a new bit vector which is a copy of the given range.
partFromTo(int, int) - Method in class cern.colt.list.AbstractBooleanList
Returns a new list of the part of the receiver between from, inclusive, and to, inclusive.
partFromTo(int, int) - Method in class cern.colt.list.AbstractByteList
Returns a new list of the part of the receiver between from, inclusive, and to, inclusive.
partFromTo(int, int) - Method in class cern.colt.list.AbstractCharList
Returns a new list of the part of the receiver between from, inclusive, and to, inclusive.
partFromTo(int, int) - Method in class cern.colt.list.AbstractDoubleList
Returns a new list of the part of the receiver between from, inclusive, and to, inclusive.
partFromTo(int, int) - Method in class cern.colt.list.AbstractFloatList
Returns a new list of the part of the receiver between from, inclusive, and to, inclusive.
partFromTo(int, int) - Method in class cern.colt.list.AbstractIntList
Returns a new list of the part of the receiver between from, inclusive, and to, inclusive.
partFromTo(int, int) - Method in class cern.colt.list.AbstractLongList
Returns a new list of the part of the receiver between from, inclusive, and to, inclusive.
partFromTo(int, int) - Method in class cern.colt.list.AbstractShortList
Returns a new list of the part of the receiver between from, inclusive, and to, inclusive.
partFromTo(int, int) - Method in class cern.colt.list.BooleanArrayList
Returns a new list of the part of the receiver between from, inclusive, and to, inclusive.
partFromTo(int, int) - Method in class cern.colt.list.ByteArrayList
Returns a new list of the part of the receiver between from, inclusive, and to, inclusive.
partFromTo(int, int) - Method in class cern.colt.list.CharArrayList
Returns a new list of the part of the receiver between from, inclusive, and to, inclusive.
partFromTo(int, int) - Method in class cern.colt.list.DoubleArrayList
Returns a new list of the part of the receiver between from, inclusive, and to, inclusive.
partFromTo(int, int) - Method in class cern.colt.list.FloatArrayList
Returns a new list of the part of the receiver between from, inclusive, and to, inclusive.
partFromTo(int, int) - Method in class cern.colt.list.IntArrayList
Returns a new list of the part of the receiver between from, inclusive, and to, inclusive.
partFromTo(int, int) - Method in class cern.colt.list.LongArrayList
Returns a new list of the part of the receiver between from, inclusive, and to, inclusive.
partFromTo(int, int, BitVector, int, long[], int) - Method in class cern.colt.list.MinMaxNumberList
Copies all elements between index from (inclusive) and to (inclusive) into part, starting at index partFrom within part.
partFromTo(int, int) - Method in class cern.colt.list.ObjectArrayList
Returns a new list of the part of the receiver between from, inclusive, and to, inclusive.
partFromTo(int, int) - Method in class cern.colt.list.ShortArrayList
Returns a new list of the part of the receiver between from, inclusive, and to, inclusive.
partition(DoubleMatrix2D, int[], int, int, int, double[], int, int, int[]) - Static method in class cern.colt.matrix.doublealgo.Partitioning
Same as Partitioning.partition(int[],int,int,int[],int,int,int[]) except that it synchronously partitions the rows of the given matrix by the values of the given matrix column; This is essentially the same as partitioning a list of composite objects by some instance variable; In other words, two entire rows of the matrix are swapped, whenever two column values indicate so.
partition(DoubleMatrix2D, int, double[], int[]) - Static method in class cern.colt.matrix.doublealgo.Partitioning
Same as Partitioning.partition(int[],int,int,int[],int,int,int[]) except that it synchronously partitions the rows of the given matrix by the values of the given matrix column; This is essentially the same as partitioning a list of composite objects by some instance variable; In other words, two entire rows of the matrix are swapped, whenever two column values indicate so.
partition(ObjectMatrix2D, int[], int, int, int, Object[], int, int, int[]) - Static method in class cern.colt.matrix.objectalgo.Partitioning
Same as Partitioning.partition(int[],int,int,int[],int,int,int[]) except that it synchronously partitions the rows of the given matrix by the values of the given matrix column; This is essentially the same as partitioning a list of composite objects by some instance variable; In other words, two entire rows of the matrix are swapped, whenever two column values indicate so.
partition(ObjectMatrix2D, int, Object[], int[]) - Static method in class cern.colt.matrix.objectalgo.Partitioning
Same as Partitioning.partition(int[],int,int,int[],int,int,int[]) except that it synchronously partitions the rows of the given matrix by the values of the given matrix column; This is essentially the same as partitioning a list of composite objects by some instance variable; In other words, two entire rows of the matrix are swapped, whenever two column values indicate so.
partition(double[], int, int, double[], int, int, int[]) - Static method in class cern.colt.Partitioning
Same as Partitioning.partition(int[],int,int,int[],int,int,int[]) except that it partitions double[] rather than int[] arrays.
partition(double[], int, int, double) - Static method in class cern.colt.Partitioning
Same as Partitioning.partition(int[],int,int,int) except that it partitions double[] rather than int[] arrays.
partition(int[], int, int, int[], int, int, int[]) - Static method in class cern.colt.Partitioning
Partitions (partially sorts) the given list such that all elements falling into some intervals are placed next to each other.
partition(int[], int, int, int) - Static method in class cern.colt.Partitioning
Partitions (partially sorts) the given list such that all elements falling into the given interval are placed next to each other.
partition(Object[], int, int, Object[], int, int, int[], Comparator) - Static method in class cern.colt.Partitioning
Same as Partitioning.partition(int[],int,int,int[],int,int,int[]) except that it partitions Object[] rather than int[] arrays.
partition(Object[], int, int, Object, Comparator) - Static method in class cern.colt.Partitioning
Same as Partitioning.partition(int[],int,int,int) except that it synchronously partitions the objects of the given list by the order of the given comparator.
partition(DoubleArrayList, int, int, DoubleArrayList, IntArrayList) - Static method in class cern.colt.Partitioning
Equivalent to partition(list.elements(), from, to, splitters.elements(), 0, splitters.size()-1, splitIndexes.elements()).
partition(IntArrayList, int, int, IntArrayList, IntArrayList) - Static method in class cern.colt.Partitioning
Equivalent to partition(list.elements(), from, to, splitters.elements(), 0, splitters.size()-1, splitIndexes.elements()).
Partition - Class in jminhep.cluster
Interface class to all clustering algorithms.
Partition(DataHolder) - Constructor for class jminhep.cluster.Partition
 
Partitioning - Class in cern.colt.matrix.doublealgo
Given some interval boundaries, partitions matrices such that cell values falling into an interval are placed next to each other.
Partitioning - Class in cern.colt.matrix.objectalgo
Given some interval boundaries, partitions matrices such that cell values falling into an interval are placed next to each other.
Partitioning - Class in cern.colt
Given some interval boundaries, partitions arrays such that all elements falling into an interval are placed next to each other.
pascal - Static variable in class cern.clhep.Units
 
pdf(double) - Method in class cern.jet.random.Beta
Returns the cumulative distribution function.
pdf(int) - Method in class cern.jet.random.Binomial
Returns the probability distribution function.
pdf(double) - Method in class cern.jet.random.ChiSquare
Returns the probability distribution function.
pdf(double) - Method in class cern.jet.random.Empirical
Returns the probability distribution function.
pdf(int) - Method in class cern.jet.random.Empirical
Returns the probability distribution function.
pdf(int) - Method in class cern.jet.random.EmpiricalWalker
Returns the probability distribution function.
pdf(double) - Method in class cern.jet.random.Exponential
Returns the probability distribution function.
pdf(double) - Method in class cern.jet.random.Gamma
Returns the probability distribution function.
pdf(int) - Method in class cern.jet.random.HyperGeometric
Returns the probability distribution function.
pdf(int) - Method in class cern.jet.random.NegativeBinomial
Returns the probability distribution function.
pdf(double) - Method in class cern.jet.random.Normal
Returns the probability distribution function.
pdf(int) - Method in class cern.jet.random.Poisson
Returns the probability distribution function.
pdf(double) - Method in class cern.jet.random.StudentT
Returns the probability distribution function.
pdf(double) - Method in class cern.jet.random.Uniform
Returns the probability distribution function (assuming a continous uniform distribution).
perCent - Static variable in class cern.clhep.Units
 
percentFromTo(float, float) - Method in class cern.jet.stat.quantile.EquiDepthHistogram
Returns the percentage of elements in the range (from,to].
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(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.
percentWeightByVolToMolar(double, double) - Static method in class flanagan.math.Fmath
 
perMillion - Static variable in class cern.clhep.Units
 
permutation(long, int) - Static method in class cern.colt.GenericPermuting
Returns the p-th permutation of the sequence [0,1,...,N-1].
permute(int[], int[]) - Static method in class cern.colt.GenericPermuting
A non-generic variant of reordering, specialized for int[], same semantics.
permute(int[], Swapper, int[]) - Static method in class cern.colt.GenericPermuting
Deprecated.  
permute(int[], Swapper, int[], int[]) - Static method in class cern.colt.GenericPermuting
Generically reorders arbitrary shaped generic data g such that g[i] == g[indexes[i]].
permute(Object[], int[]) - Static method in class cern.colt.GenericPermuting
A non-generic variant of reordering, specialized for Object[], same semantics.
permute(DoubleMatrix1D, int[], double[]) - Method in class cern.colt.matrix.linalg.Algebra
Modifies the given vector A such that it is permuted as specified; Useful for pivoting.
permute(DoubleMatrix2D, int[], int[]) - Method in class cern.colt.matrix.linalg.Algebra
Constructs and returns a new row and column permuted selection view of matrix A; equivalent to DoubleMatrix2D.viewSelection(int[],int[]).
permuteColumns(DoubleMatrix2D, int[], int[]) - Method in class cern.colt.matrix.linalg.Algebra
Modifies the given matrix A such that it's columns are permuted as specified; Useful for pivoting.
permuteRows(DoubleMatrix2D, int[], int[]) - Method in class cern.colt.matrix.linalg.Algebra
Modifies the given matrix A such that it's rows are permuted as specified; Useful for pivoting.
PersistentObject - Class in cern.colt
This empty class is the common root for all persistent capable classes.
perThousand - Static variable in class cern.clhep.Units
 
petaelectronvolt - Static variable in class cern.clhep.Units
 
PeV - Static variable in class cern.clhep.Units
 
phi(double) - Method in interface cern.jet.stat.quantile.DoubleQuantileFinder
Returns how many percent of the elements contained in the receiver are <= element.
phi(float) - Method in class cern.jet.stat.quantile.EquiDepthHistogram
Returns how many percent of the elements contained in the receiver are <= element.
PhysicalConstants - Class in cern.clhep
High Energy Physics coherent Physical Constants.
physicalConstants - Static variable in class cern.clhep.PhysicalConstants
Little trick to allow for "aliasing", that is, renaming this class.
pi - Static variable in class cern.clhep.PhysicalConstants
 
PI - Static variable in class flanagan.math.Fmath
 
pi2 - Static variable in class cern.clhep.PhysicalConstants
 
picobarn - Static variable in class cern.clhep.Units
 
picofarad - Static variable in class cern.clhep.Units
 
picosecond - Static variable in class cern.clhep.Units
 
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
pintToLitre(double) - Static method in class flanagan.math.Fmath
 
pintUKtoCupUS(double) - Static method in class flanagan.math.Fmath
 
pintUKtoUS(double) - Static method in class flanagan.math.Fmath
 
pintUStoUK(double) - Static method in class flanagan.math.Fmath
 
plotCorrelation() - Method in class flanagan.math.FourierTransform
 
plotCorrelation(String) - Method in class flanagan.math.FourierTransform
 
plotPowerLog(int) - Method in class flanagan.math.FourierTransform
 
plotPowerLog(int, String) - Method in class flanagan.math.FourierTransform
 
plotPowerLog(int, int) - Method in class flanagan.math.FourierTransform
 
plotPowerLog(int, int, String) - Method in class flanagan.math.FourierTransform
 
plotPowerLog(double) - Method in class flanagan.math.FourierTransform
 
plotPowerLog(double, String) - Method in class flanagan.math.FourierTransform
 
plotPowerLog(double, double) - Method in class flanagan.math.FourierTransform
 
plotPowerLog(double, double, String) - Method in class flanagan.math.FourierTransform
 
plotPowerLog() - Method in class flanagan.math.FourierTransform
 
plotPowerLog(String) - Method in class flanagan.math.FourierTransform
 
plotPowerSpectrum(int) - Method in class flanagan.math.FourierTransform
 
plotPowerSpectrum(int, String) - Method in class flanagan.math.FourierTransform
 
plotPowerSpectrum(int, int) - Method in class flanagan.math.FourierTransform
 
plotPowerSpectrum(int, int, String) - Method in class flanagan.math.FourierTransform
 
plotPowerSpectrum(double) - Method in class flanagan.math.FourierTransform
 
plotPowerSpectrum(double, String) - Method in class flanagan.math.FourierTransform
 
plotPowerSpectrum(double, double) - Method in class flanagan.math.FourierTransform
 
plotPowerSpectrum(double, double, String) - Method in class flanagan.math.FourierTransform
 
plotPowerSpectrum() - Method in class flanagan.math.FourierTransform
 
plotPowerSpectrum(String) - Method in class flanagan.math.FourierTransform
 
plotShortTime(String) - Method in class flanagan.math.FourierTransform
 
plotShortTime() - Method in class flanagan.math.FourierTransform
 
plotXY() - Method in class flanagan.analysis.Regression
 
plotXYnonlinear(Vector, String) - Method in class flanagan.analysis.Regression
 
plotYY(String) - Method in class flanagan.analysis.Regression
 
plotYY() - Method in class flanagan.analysis.Regression
 
plus(DoubleMatrix1D, double) - Static method in class cern.colt.matrix.doublealgo.Transform
Deprecated. A = A + s <=> A[i] = A[i] + s.
plus(DoubleMatrix1D, DoubleMatrix1D) - Static method in class cern.colt.matrix.doublealgo.Transform
Deprecated. A = A + B <=> A[i] = A[i] + B[i].
plus(DoubleMatrix2D, double) - Static method in class cern.colt.matrix.doublealgo.Transform
Deprecated. A = A + s <=> A[row,col] = A[row,col] + s.
plus(DoubleMatrix2D, DoubleMatrix2D) - Static method in class cern.colt.matrix.doublealgo.Transform
Deprecated. A = A + B <=> A[row,col] = A[row,col] + B[row,col].
plus(Timer) - Method in class cern.colt.Timer
T = this + other; Constructs and returns a new timer which is the sum of the receiver and the other timer.
plus - Static variable in class cern.jet.math.Functions
Function that returns a + b.
plus(double) - Static method in class cern.jet.math.Functions
Constructs a function that returns a + b.
plus - Static variable in class cern.jet.math.IntFunctions
Function that returns a + b.
plus(int) - Static method in class cern.jet.math.IntFunctions
Constructs a function that returns a + b.
plus(ErrorProp, double) - Method in class flanagan.analysis.ErrorProp
 
plus(ErrorProp, ErrorProp, double) - Static method in class flanagan.analysis.ErrorProp
 
plus(ErrorProp) - Method in class flanagan.analysis.ErrorProp
 
plus(ErrorProp, ErrorProp) - Static method in class flanagan.analysis.ErrorProp
 
plus(double) - Method in class flanagan.analysis.ErrorProp
 
plus(double, ErrorProp) - Static method in class flanagan.analysis.ErrorProp
 
plus(double, double) - Static method in class flanagan.analysis.ErrorProp
 
plus(Matrix) - Method in class flanagan.math.Matrix
 
plus(double[][]) - Method in class flanagan.math.Matrix
 
plus(Matrix, Matrix) - Static method in class flanagan.math.Matrix
 
PLUS_INF() - Method in class hep.aida.ref.function.RangeSet
 
plusAbs - Static variable in class cern.jet.math.Functions
Function that returns Math.abs(a) + Math.abs(b).
plusDiv(double) - Static method in class cern.jet.math.PlusMult
a + b/constant.
plusEquals(ErrorProp, double) - Method in class flanagan.analysis.ErrorProp
 
plusEquals(ErrorProp) - Method in class flanagan.analysis.ErrorProp
 
plusEquals(double) - Method in class flanagan.analysis.ErrorProp
 
plusEquals(Matrix) - Method in class flanagan.math.Matrix
 
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
 
plusMult(DoubleMatrix1D, DoubleMatrix1D, double) - Static method in class cern.colt.matrix.doublealgo.Transform
Deprecated. A = A + B*s<=> A[i] = A[i] + B[i]*s.
plusMult(DoubleMatrix2D, DoubleMatrix2D, double) - Static method in class cern.colt.matrix.doublealgo.Transform
Deprecated. A = A + B*s <=> A[row,col] = A[row,col] + B[row,col]*s.
plusMult(double) - Static method in class cern.jet.math.Functions
Constructs a function that returns a + b*constant.
PlusMult - Class in cern.jet.math
Only for performance tuning of compute intensive linear algebraic computations.
plusMult(double) - Static method in class cern.jet.math.PlusMult
a + b*constant.
plusOne() - Static method in class flanagan.analysis.ErrorProp
 
point(int) - Method in class hep.aida.ref.histogram.DataPointSet
 
Poisson - Class in cern.jet.random
Poisson distribution (quick); See the math definition and animated definition.
Poisson(double, RandomEngine) - Constructor for class cern.jet.random.Poisson
Constructs a poisson distribution.
poisson(int, double) - Static method in class cern.jet.stat.Probability
Returns the sum of the first k terms of the Poisson distribution.
poisson() - Method in class flanagan.analysis.Regression
 
poisson(int, double) - Static method in class flanagan.analysis.Stat
 
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
 
poissonCDF(int, double) - Static method in class flanagan.analysis.Stat
 
poissonComplemented(int, double) - Static method in class cern.jet.stat.Probability
Returns the sum of the terms k+1 to Infinity of the Poisson distribution.
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.
poissonianArray(double, int) - Method in class flanagan.math.PsRandom
 
poissonPDF(int, double) - Static method in class flanagan.analysis.Stat
 
poissonPlot() - Method in class flanagan.analysis.Regression
 
poissonProb(int, double) - Static method in class flanagan.analysis.Stat
 
poissonRand(double, int) - Static method in class flanagan.analysis.Stat
 
poissonRand(double, int, long) - Static method in class flanagan.analysis.Stat
 
PoissonSlow - Class in cern.jet.random
Poisson distribution; See the math definition and animated definition.
PoissonSlow(double, RandomEngine) - Constructor for class cern.jet.random.PoissonSlow
Constructs a poisson distribution.
polar2Complex(double, double) - Static method in class org.apache.commons.math.complex.ComplexUtils
Creates a complex number from the given polar representation.
polevl(double, double[], int) - Static method in class cern.jet.math.Polynomial
Evaluates the given polynomial of degree N at x.
PolyCubicSpline - Class in flanagan.interpolation
 
PolyCubicSpline(Object, Object) - Constructor for class flanagan.interpolation.PolyCubicSpline
 
POLYGON - Static variable in class jhplot.shapes.HShape
 
Polynomial - Class in cern.jet.math
Polynomial functions.
polynomial(int) - Method in class flanagan.analysis.Regression
 
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.PolynomialFunction
Returns the derivative as a PolynomialRealFunction
PolynomialFunction - Class in org.apache.commons.math.analysis
Immutable representation of a real polynomial function with real coefficients.
PolynomialFunction(double[]) - Constructor for class org.apache.commons.math.analysis.PolynomialFunction
Construct a polynomial with the given coefficients.
PolynomialModelFunction - Class in hep.aida.ref.function
 
PolynomialModelFunction(String) - Constructor for class hep.aida.ref.function.PolynomialModelFunction
 
polynomialPlot(int, String, String) - Method in class flanagan.analysis.Regression
 
polynomialPlot(int) - Method in class flanagan.analysis.Regression
 
polynomialSplineDerivative() - Method in class org.apache.commons.math.analysis.PolynomialSplineFunction
Returns the derivative of the polynomial spline function as a PolynomialSplineFunction
PolynomialSplineFunction - Class in org.apache.commons.math.analysis
Represents a polynomial spline function.
PolynomialSplineFunction(double[], PolynomialFunction[]) - Constructor for class org.apache.commons.math.analysis.PolynomialSplineFunction
Construct a polynomial spline function with the given segment delimiters and interpolating polynomials.
pooledMean(int, double, int, double) - Static method in class cern.jet.stat.Descriptive
Returns the pooled mean of two data sequences.
pooledVariance(int, double, int, double) - Static method in class cern.jet.stat.Descriptive
Returns the pooled variance of two data sequences.
poundToKg(double) - Static method in class flanagan.math.Fmath
 
pow(DoubleMatrix1D, double) - Static method in class cern.colt.matrix.doublealgo.Transform
Deprecated. A = As <=> A[i] = Math.pow(A[i], s).
pow(DoubleMatrix1D, DoubleMatrix1D) - Static method in class cern.colt.matrix.doublealgo.Transform
Deprecated. A = AB <=> A[i] = Math.pow(A[i], B[i]).
pow(DoubleMatrix2D, double) - Static method in class cern.colt.matrix.doublealgo.Transform
Deprecated. A = As <=> A[row,col] = Math.pow(A[row,col], s).
pow(DoubleMatrix2D, DoubleMatrix2D) - Static method in class cern.colt.matrix.doublealgo.Transform
Deprecated. A = AB <=> A[row,col] = Math.pow(A[row,col], B[row,col]).
pow(DoubleMatrix2D, int) - Method in class cern.colt.matrix.linalg.Algebra
Linear algebraic matrix power; B = Ak <==> B = A*A*...*A.
pow - Static variable in class cern.jet.math.Functions
Function that returns Math.pow(a,b).
pow(double) - Static method in class cern.jet.math.Functions
Constructs a function that returns Math.pow(a,b).
pow - Static variable in class cern.jet.math.IntFunctions
Function that returns (int) Math.pow(a,b).
pow(int) - Static method in class cern.jet.math.IntFunctions
Constructs a function that returns (int) Math.pow(a,b).
pow(ErrorProp, double) - Static method in class flanagan.analysis.ErrorProp
 
pow(double, ErrorProp) - Static method in class flanagan.analysis.ErrorProp
 
pow(ErrorProp, ErrorProp, double) - Static method in class flanagan.analysis.ErrorProp
 
pow(ErrorProp, ErrorProp) - Static method in class flanagan.analysis.ErrorProp
 
pow(Complex, Complex) - Static method in class org.apache.commons.math.complex.ComplexUtils
Returns of value of y raised to the power of x.
powerSpectrum() - Method in class flanagan.math.FourierTransform
 
powerSpectrum(String) - Method in class flanagan.math.FourierTransform
 
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.
prefix - Static variable in class hep.aida.ref.function.FunctionCatalog
 
preMultiply(BigMatrix) - Method in interface org.apache.commons.math.linear.BigMatrix
Returns the result premultiplying this by m.
preMultiply(BigDecimal[]) - Method in interface org.apache.commons.math.linear.BigMatrix
Returns the (row) vector result of premultiplying this by the vector v.
preMultiply(BigMatrix) - Method in class org.apache.commons.math.linear.BigMatrixImpl
Returns the result premultiplying this by m.
preMultiply(BigDecimal[]) - Method in class org.apache.commons.math.linear.BigMatrixImpl
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(RealMatrix) - Method in class org.apache.commons.math.linear.RealMatrixImpl
Returns the result premultiplying this by m.
preMultiply(double[]) - Method in class org.apache.commons.math.linear.RealMatrixImpl
 
PrimeFinder - Class in cern.colt.map
Not of interest for users; only for implementors of hashtables.
print(int) - Method in class cern.jet.random.engine.RandomSeedGenerator
Prints the next size generated seeds.
print(String) - Method in class flanagan.analysis.ErrorProp
 
print() - Method in class flanagan.analysis.ErrorProp
 
print(String, int) - Method in class flanagan.analysis.Regression
 
print(int) - Method in class flanagan.analysis.Regression
 
print(String) - Method in class flanagan.analysis.Regression
 
print() - Method in class flanagan.analysis.Regression
 
print(double[]) - Static method in class flanagan.math.Fmath
 
print(float[]) - Static method in class flanagan.math.Fmath
 
print(int[]) - Static method in class flanagan.math.Fmath
 
print(long[]) - Static method in class flanagan.math.Fmath
 
print(char[]) - Static method in class flanagan.math.Fmath
 
print(String[]) - Static method in class flanagan.math.Fmath
 
print(String, int) - Method in class flanagan.math.Maximisation
 
print(int) - Method in class flanagan.math.Maximisation
 
print(String) - Method in class flanagan.math.Maximisation
 
print() - Method in class flanagan.math.Maximisation
 
print(String, int) - Method in class flanagan.math.Minimisation
 
print(int) - Method in class flanagan.math.Minimisation
 
print(String) - Method in class flanagan.math.Minimisation
 
print() - Method in class flanagan.math.Minimisation
 
print() - Method in class jhplot.H1D
Print histogram on screen
print() - Method in class jhplot.P1D
Print a P1D container on the screen
print() - Method in class jminhep.cluster.DataHolder
Print all entries of the data holder
printBinning() - Method in class hep.aida.ref.function.Grid
 
printCorrelation() - Method in class flanagan.math.FourierTransform
 
printCorrelation(String) - Method in class flanagan.math.FourierTransform
 
printDrawOptions() - Method in class jhplot.DrawOptions
print all drawing options
printDrawOptions(PrintStream) - Method in class jhplot.DrawOptions
Get all drawing options as PrintStream
printf(String, double) - Static method in class corejava.Format
prints a formatted number following printf conventions
printf(String, int) - Static method in class corejava.Format
prints a formatted number following printf conventions
printf(String, long) - Static method in class corejava.Format
prints a formatted number following printf conventions
printf(String, char) - Static method in class corejava.Format
prints a formatted number following printf conventions
printf(String, String) - Static method in class corejava.Format
prints a formatted number following printf conventions
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
println(String) - Method in class flanagan.analysis.ErrorProp
 
println() - Method in class flanagan.analysis.ErrorProp
 
println(double[]) - Static method in class flanagan.math.Fmath
 
println(float[]) - Static method in class flanagan.math.Fmath
 
println(int[]) - Static method in class flanagan.math.Fmath
 
println(long[]) - Static method in class flanagan.math.Fmath
 
println(char[]) - Static method in class flanagan.math.Fmath
 
println(String[]) - Static method in class flanagan.math.Fmath
 
printPowerSpectrum() - Method in class flanagan.math.FourierTransform
 
printPowerSpectrum(String) - Method in class flanagan.math.FourierTransform
 
printResult() - Method in class hep.aida.ref.fitter.FitResult
 
printShortTime() - Method in class flanagan.math.FourierTransform
 
printShortTime(String) - Method in class flanagan.math.FourierTransform
 
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(PrintWriter) - Method in exception org.apache.commons.math.MathException
Prints the stack trace of this exception to the specified writer.
printVersion() - Static method in class jhplot.JHPlot
jHplot version information
Probability - Class in cern.jet.stat
Custom tailored numerical integration of certain probability distributions.
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 disbution, 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 disbution, 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.PoissonDistributionImpl
The probability mass function P(X = x) for a Poisson distribution.
probAtn(double, int) - Static method in class flanagan.analysis.Stat
 
product() - Method in class cern.hep.aida.bin.MightyStaticBin1D
Returns the product, which is Prod( x[i] ).
product(int, double) - Static method in class cern.jet.stat.Descriptive
Returns the product, which is Prod( data[i] ).
product(DoubleArrayList) - Static method in class cern.jet.stat.Descriptive
Returns the product of a data sequence, which is Prod( data[i] ).
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(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
 
Profile1D - Class in hep.aida.ref.histogram
 
Profile1D() - Constructor for class hep.aida.ref.histogram.Profile1D
Create a 1-dimensional Profile.
Profile2D - Class in hep.aida.ref.histogram
 
Profile2D() - Constructor for class hep.aida.ref.histogram.Profile2D
Create a 1-dimensional Profile.
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
 
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.
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.
property() - Method in class cern.colt.matrix.linalg.Algebra
Returns the property object attached to this Algebra, defining tolerance.
Property - Class in cern.colt.matrix.linalg
Tests matrices for linear algebraic properties (equality, tridiagonality, symmetry, singularity, etc).
Property(double) - Constructor for class cern.colt.matrix.linalg.Property
Constructs an instance with a tolerance of Math.abs(newTolerance).
proton_mass_c2 - Static variable in class cern.clhep.PhysicalConstants
 
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.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
 
PsRandom - Class in flanagan.math
 
PsRandom() - Constructor for class flanagan.math.PsRandom
 
PsRandom(long) - Constructor for class flanagan.math.PsRandom
 
put(int, int, boolean) - Method in class cern.colt.bitvector.BitMatrix
Sets the bit at the specified coordinate to the state specified by value.
put(int, boolean) - Method in class cern.colt.bitvector.BitVector
Sets the bit with index bitIndex to the state specified by value.
put(long[], int, boolean) - Static method in class cern.colt.bitvector.QuickBitVector
Sets the bit with index bitIndex in the bitvector bits to the state specified by value.
put(double, int) - Method in class cern.colt.map.AbstractDoubleIntMap
Associates the given key with the given value.
put(int, double) - Method in class cern.colt.map.AbstractIntDoubleMap
Associates the given key with the given value.
put(int, int) - Method in class cern.colt.map.AbstractIntIntMap
Associates the given key with the given value.
put(int, Object) - Method in class cern.colt.map.AbstractIntObjectMap
Associates the given key with the given value.
put(long, Object) - Method in class cern.colt.map.AbstractLongObjectMap
Associates the given key with the given value.
put(double, int) - Method in class cern.colt.map.OpenDoubleIntHashMap
Associates the given key with the given value.
put(int, double) - Method in class cern.colt.map.OpenIntDoubleHashMap
Associates the given key with the given value.
put(int, int) - Method in class cern.colt.map.OpenIntIntHashMap
Associates the given key with the given value.
put(int, Object) - Method in class cern.colt.map.OpenIntObjectHashMap
Associates the given key with the given value.
put(long, Object) - Method in class cern.colt.map.OpenLongObjectHashMap
Associates the given key with the given value.
putLongFromTo(long, int, int) - Method in class cern.colt.bitvector.BitVector
Sets bits of the receiver from index from to index to to the bits of value.
putLongFromTo(long[], long, int, int) - Static method in class cern.colt.bitvector.QuickBitVector
Sets bits of a bitvector from index from to index to to the bits of value.
putQuick(int, int, boolean) - Method in class cern.colt.bitvector.BitMatrix
Sets the bit at the specified coordinate to the state specified by value; WARNING: Does not check preconditions.
putQuick(int, boolean) - Method in class cern.colt.bitvector.BitVector
Sets the bit with index bitIndex to the state specified by value; WARNING: Does not check preconditions.
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.

Q

Q_ELECTRON - Static variable in class flanagan.math.Fmath
 
QRDecomposition - Class in cern.colt.matrix.linalg
For an m x n matrix A with m >= n, the QR decomposition is an m x n orthogonal matrix Q and an n x n upper triangular matrix R so that A = Q*R.
QRDecomposition(DoubleMatrix2D) - Constructor for class cern.colt.matrix.linalg.QRDecomposition
Constructs and returns a new QR decomposition object; computed by Householder reflections; The decomposed matrices can be retrieved via instance methods of the returned decomposition object.
quality() - Method in class hep.aida.ref.fitter.FitResult
 
quantile(double) - Static method in class cern.hep.aida.bin.BinFunctions1D
Function that returns bin.quantile(percentage).
quantile(double) - Method in class cern.hep.aida.bin.DynamicBin1D
Returns the exact phi-quantile; that is, the smallest contained element elem for which holds that phi percent of elements are less than elem.
quantile(double) - Method in class cern.hep.aida.bin.QuantileBin1D
Computes and returns the phi-quantile.
quantile(DoubleArrayList, double) - Static method in class cern.jet.stat.Descriptive
Returns the phi-quantile; that is, an element elem for which holds that phi percent of data elements are less than elem.
Quantile1Test - Class in cern.jet.stat.quantile
A class to test the QuantileBin1D code.
Quantile1Test() - Constructor for class cern.jet.stat.quantile.Quantile1Test
 
QuantileBin1D - Class in cern.hep.aida.bin
1-dimensional non-rebinnable bin holding double elements with scalable quantile operations defined upon; Using little main memory, quickly computes approximate quantiles over very large data sequences with and even without a-priori knowledge of the number of elements to be filled; Conceptually a strongly lossily compressed multiset (or bag); Guarantees to respect the worst case approximation error specified upon instance construction.
QuantileBin1D(double) - Constructor for class cern.hep.aida.bin.QuantileBin1D
Equivalent to new QuantileBin1D(false, Long.MAX_VALUE, epsilon, 0.001, 10000, new cern.jet.random.engine.DRand(new java.util.Date()).
QuantileBin1D(boolean, long, double, double, int, RandomEngine) - Constructor for class cern.hep.aida.bin.QuantileBin1D
Equivalent to new QuantileBin1D(known_N, N, epsilon, delta, quantiles, randomGenerator, false, false, 2).
QuantileBin1D(boolean, long, double, double, int, RandomEngine, boolean, boolean, int) - Constructor for class cern.hep.aida.bin.QuantileBin1D
Constructs and returns an empty bin that, under the given constraints, minimizes the amount of memory needed.
quantileElements(DoubleArrayList) - Method in interface cern.jet.stat.quantile.DoubleQuantileFinder
Computes the specified quantile elements over the values previously added.
QuantileFinderFactory - Class in cern.jet.stat.quantile
Factory constructing exact and approximate quantile finders for both known and unknown N.
quantileInverse(double) - Method in class cern.hep.aida.bin.DynamicBin1D
Returns exactly how many percent of the elements contained in the receiver are <= element.
quantileInverse(double) - Method in class cern.hep.aida.bin.QuantileBin1D
Returns how many percent of the elements contained in the receiver are <= element.
quantileInverse(DoubleArrayList, double) - Static method in class cern.jet.stat.Descriptive
Returns how many percent of the elements contained in the receiver are <= element.
quantiles(DoubleArrayList) - Method in class cern.hep.aida.bin.DynamicBin1D
Returns the exact quantiles of the specified percentages.
quantiles(DoubleArrayList) - Method in class cern.hep.aida.bin.QuantileBin1D
Returns the quantiles of the specified percentages.
quantiles(DoubleArrayList, DoubleArrayList) - Static method in class cern.jet.stat.Descriptive
Returns the quantiles of the specified percentages.
quartToLitre(double) - Static method in class flanagan.math.Fmath
 
quartUKtoUS(double) - Static method in class flanagan.math.Fmath
 
quartUStoUK(double) - Static method in class flanagan.math.Fmath
 
QuickBitVector - Class in cern.colt.bitvector
Implements quick non polymorphic non bounds checking low level bitvector operations.
quickSort(int, int, IntComparator, Swapper) - Static method in class cern.colt.GenericSorting
Sorts the specified range of elements according to the order induced by the specified comparator.
quickSort() - Method in class cern.colt.list.AbstractList
Sorts the receiver into ascending order.
quickSort - Static variable in class cern.colt.matrix.doublealgo.Sorting
A prefabricated quicksort.
quickSort - Static variable in class cern.colt.matrix.objectalgo.Sorting
A prefabricated quicksort.
quickSort(byte[], int, int, ByteComparator) - Static method in class cern.colt.Sorting
Sorts the specified range of the specified array of elements according to the order induced by the specified comparator.
quickSort(char[], int, int, CharComparator) - Static method in class cern.colt.Sorting
Sorts the specified range of the specified array of elements according to the order induced by the specified comparator.
quickSort(double[], int, int, DoubleComparator) - Static method in class cern.colt.Sorting
Sorts the specified range of the specified array of elements according to the order induced by the specified comparator.
quickSort(float[], int, int, FloatComparator) - Static method in class cern.colt.Sorting
Sorts the specified range of the specified array of elements according to the order induced by the specified comparator.
quickSort(int[], int, int, IntComparator) - Static method in class cern.colt.Sorting
Sorts the specified range of the specified array of elements according to the order induced by the specified comparator.
quickSort(long[], int, int, LongComparator) - Static method in class cern.colt.Sorting
Sorts the specified range of the specified array of elements according to the order induced by the specified comparator.
quickSort(Object[]) - Static method in class cern.colt.Sorting
Sorts the specified range of the receiver into ascending order, according to the natural ordering of its elements.
quickSort(Object[], int, int) - Static method in class cern.colt.Sorting
Sorts the specified range of the receiver into ascending order, according to the natural ordering of its elements.
quickSort(Object[], int, int, Comparator) - Static method in class cern.colt.Sorting
Sorts the specified range of the specified array according to the order induced by the specified comparator.
quickSort(Object[], Comparator) - Static method in class cern.colt.Sorting
Sorts the specified array according to the order induced by the specified comparator.
quickSort(short[], int, int, ShortComparator) - Static method in class cern.colt.Sorting
Sorts the specified range of the specified array of elements according to the order induced by the specified comparator.
quickSortFromTo(int, int) - Method in class cern.colt.list.AbstractByteList
Sorts the specified range of the receiver into ascending numerical order.
quickSortFromTo(int, int, ByteComparator) - Method in class cern.colt.list.AbstractByteList
Sorts the receiver according to the order induced by the specified comparator.
quickSortFromTo(int, int) - Method in class cern.colt.list.AbstractCharList
Sorts the specified range of the receiver into ascending numerical order.
quickSortFromTo(int, int, CharComparator) - Method in class cern.colt.list.AbstractCharList
Sorts the receiver according to the order induced by the specified comparator.
quickSortFromTo(int, int) - Method in class cern.colt.list.AbstractDoubleList
Sorts the specified range of the receiver into ascending numerical order.
quickSortFromTo(int, int, DoubleComparator) - Method in class cern.colt.list.AbstractDoubleList
Sorts the receiver according to the order induced by the specified comparator.
quickSortFromTo(int, int) - Method in class cern.colt.list.AbstractFloatList
Sorts the specified range of the receiver into ascending numerical order.
quickSortFromTo(int, int, FloatComparator) - Method in class cern.colt.list.AbstractFloatList
Sorts the receiver according to the order induced by the specified comparator.
quickSortFromTo(int, int) - Method in class cern.colt.list.AbstractIntList
Sorts the specified range of the receiver into ascending numerical order.
quickSortFromTo(int, int, IntComparator) - Method in class cern.colt.list.AbstractIntList
Sorts the receiver according to the order induced by the specified comparator.
quickSortFromTo(int, int) - Method in class cern.colt.list.AbstractList
Sorts the specified range of the receiver into ascending order.
quickSortFromTo(int, int) - Method in class cern.colt.list.AbstractLongList
Sorts the specified range of the receiver into ascending numerical order.
quickSortFromTo(int, int, LongComparator) - Method in class cern.colt.list.AbstractLongList
Sorts the receiver according to the order induced by the specified comparator.
quickSortFromTo(int, int) - Method in class cern.colt.list.AbstractShortList
Sorts the specified range of the receiver into ascending numerical order.
quickSortFromTo(int, int, ShortComparator) - Method in class cern.colt.list.AbstractShortList
Sorts the receiver according to the order induced by the specified comparator.
quickSortFromTo(int, int) - Method in class cern.colt.list.BooleanArrayList
Sorts the specified range of the receiver into ascending order (false < true).
quickSortFromTo(int, int) - Method in class cern.colt.list.ObjectArrayList
Sorts the specified range of the receiver into ascending order, according to the natural ordering of its elements.
quickSortFromTo(int, int, Comparator) - Method in class cern.colt.list.ObjectArrayList
Sorts the receiver according to the order induced by the specified comparator.
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 investgate it.

R

R_GAS - Static variable in class flanagan.math.Fmath
 
rad - Static variable in class cern.clhep.Units
 
radian - Static variable in class cern.clhep.Units
 
radToDeg(double) - Static method in class flanagan.math.Fmath
 
random(int) - Method in class cern.colt.matrix.DoubleFactory1D
Constructs a matrix with uniformly distributed values in (0,1) (exclusive).
random(int, int) - Method in class cern.colt.matrix.DoubleFactory2D
Constructs a matrix with uniformly distributed values in (0,1) (exclusive).
random(int, int, int) - Method in class cern.colt.matrix.DoubleFactory3D
Constructs a matrix with uniformly distributed values in (0,1) (exclusive).
random() - Static method in class cern.jet.math.Functions
Constructs a function that returns a new uniform random number in the open unit interval (0.0,1.0) (excluding 0.0 and 1.0).
random() - Static method in class cern.jet.math.IntFunctions
Constructs a function that returns a 32 bit uniformly distributed random number in the closed interval [Integer.MIN_VALUE,Integer.MAX_VALUE] (including Integer.MIN_VALUE and Integer.MAX_VALUE).
random(int, boolean, double, String) - Static method in class cern.jet.random.Benchmark
Benchmarks all subclasses
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.
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.
RandomEngine - Class in cern.jet.random.engine
Abstract base class for uniform pseudo-random number generating engines.
RandomGenerator - Interface in cern.jet.random.engine
Interface for uniform pseudo-random number generators.
RandomGenerator - Interface in org.apache.commons.math.random
Interface extracted from java.util.Random.
randomInstance(int, boolean, AbstractDistribution) - Static method in class cern.jet.random.Benchmark
generates random numbers from
RandomSampler - Class in cern.jet.random.sampling
Space and time efficiently computes a sorted Simple Random Sample Without Replacement (SRSWOR), that is, a sorted set of n random numbers from an interval of N numbers; Example: Computing n=3 random numbers from the interval [1,50] may yield the sorted random set (7,13,47).
RandomSampler(long, long, long, RandomEngine) - Constructor for class cern.jet.random.sampling.RandomSampler
Constructs a random sampler that computes and delivers sorted random sets in blocks.
RandomSamplingAssistant - Class in cern.jet.random.sampling
Conveniently computes a stable Simple Random Sample Without Replacement (SRSWOR) subsequence of n elements from a given input sequence of N elements; Example: Computing a sublist of n=3 random elements from a list (1,...,50) may yield the sublist (7,13,47).
RandomSamplingAssistant(long, long, RandomEngine) - Constructor for class cern.jet.random.sampling.RandomSamplingAssistant
Constructs a random sampler that samples n random elements from an input sequence of N elements.
RandomSeedGenerator - Class in cern.jet.random.engine
Deterministic seed generator for pseudo-random number generators.
RandomSeedGenerator() - Constructor for class cern.jet.random.engine.RandomSeedGenerator
Constructs and returns a new seed generator.
RandomSeedGenerator(int, int) - Constructor for class cern.jet.random.engine.RandomSeedGenerator
Constructs and returns a new seed generator; you normally won't need to use this method.
RandomSeedTable - Class in cern.jet.random.engine
(Seemingly gigantic) table of good seeds for pseudo-random number generators.
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_CHANGED - Static variable in class hep.aida.ref.function.FunctionChangedEvent
 
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(DoubleMatrix2D) - Method in class cern.colt.matrix.linalg.Algebra
Returns the effective numerical rank of matrix A, obtained from Singular Value Decomposition.
rank() - Method in class cern.colt.matrix.linalg.SingularValueDecomposition
Returns the effective numerical matrix rank, which is the number of nonnegligible singular values.
rankInterpolated(DoubleArrayList, double) - Static method in class cern.jet.stat.Descriptive
Returns the linearly interpolated number of elements in a list less or equal to a given element.
raw() - Method in class cern.jet.random.engine.MersenneTwister64
Returns a 64 bit uniformly distributed random number in the open unit interval (0.0,1.0) (excluding 0.0 and 1.0).
raw() - Method in class cern.jet.random.engine.RandomEngine
Returns a 32 bit uniformly distributed random number in the open unit interval (0.0,1.0) (excluding 0.0 and 1.0).
raw() - Method in interface cern.jet.random.engine.RandomGenerator
Returns a 32 bit uniformly distributed random number in the open unit interval (0.0,1.0) (excluding 0.0 and 1.0).
rayleigh() - Method in class flanagan.analysis.Regression
 
rayleigh(double, double) - Static method in class flanagan.analysis.Stat
 
rayleighArray(double, int) - Method in class flanagan.math.PsRandom
 
rayleighCDF(double, double) - Static method in class flanagan.analysis.Stat
 
rayleighCDF(double, double, double) - Static method in class flanagan.analysis.Stat
 
rayleighMean(double) - Static method in class flanagan.analysis.Stat
 
rayleighMedian(double) - Static method in class flanagan.analysis.Stat
 
rayleighMode(double) - Static method in class flanagan.analysis.Stat
 
rayleighPDF(double, double) - Static method in class flanagan.analysis.Stat
 
rayleighPlot() - Method in class flanagan.analysis.Regression
 
rayleighProb(double, double) - Static method in class flanagan.analysis.Stat
 
rayleighProb(double, double, double) - Static method in class flanagan.analysis.Stat
 
rayleighRand(double, int) - Static method in class flanagan.analysis.Stat
 
rayleighRand(double, int, long) - Static method in class flanagan.analysis.Stat
 
rayleighStandDev(double) - Static method in class flanagan.analysis.Stat
 
RCDoubleMatrix2D - Class in cern.colt.matrix.impl
Sparse row-compressed 2-d matrix holding double elements.
RCDoubleMatrix2D(double[][]) - Constructor for class cern.colt.matrix.impl.RCDoubleMatrix2D
Constructs a matrix with a copy of the given values.
RCDoubleMatrix2D(int, int) - Constructor for class cern.colt.matrix.impl.RCDoubleMatrix2D
Constructs a matrix with a given number of rows and columns.
read(String) - Method in class jhplot.HPlot
Read HPlot file and inserts graphs to the main frame.
read(String) - Method in class jminhep.cluster.DataHolder
Reads the input data from the ARFF file and stores in the data holder
ReadFile - Static variable in class jhplot.JHPlot
 
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
 
RealMatrix - Interface in org.apache.commons.math.linear
Interface defining a real-valued matrix with basic algebraic operations.
RealMatrixImpl - Class in org.apache.commons.math.linear
Implementation of RealMatrix using a double[][] array to store entries and LU decompostion to support linear system solution and inverse.
RealMatrixImpl() - Constructor for class org.apache.commons.math.linear.RealMatrixImpl
Creates a matrix with no data
RealMatrixImpl(int, int) - Constructor for class org.apache.commons.math.linear.RealMatrixImpl
Create a new RealMatrix with the supplied row and column dimensions.
RealMatrixImpl(double[][]) - Constructor for class org.apache.commons.math.linear.RealMatrixImpl
Create a new RealMatrix using the input array as the underlying data array.
RealMatrixImpl(double[]) - Constructor for class org.apache.commons.math.linear.RealMatrixImpl
Create a new (column) RealMatrix using v as the data for the unique column of the v.length x 1 matrix created.
reciprocal() - Method in class org.apache.commons.math.fraction.Fraction
Return the multiplicative inverse of this fraction.
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.
rectangularHyperbola() - Method in class flanagan.analysis.Regression
 
rectangularHyperbolaPlot() - Method in class flanagan.analysis.Regression
 
regIncompleteGamma(double, double) - Static method in class flanagan.analysis.Stat
 
regIncompleteGammaComplementary(double, double) - Static method in class flanagan.analysis.Stat
 
Regression - Class in flanagan.analysis
 
Regression(double[][], double[], double[]) - Constructor for class flanagan.analysis.Regression
 
Regression(double[][], double[][], double[][]) - Constructor for class flanagan.analysis.Regression
 
Regression(double[], double[], double[]) - Constructor for class flanagan.analysis.Regression
 
Regression(double[], double[][], double[][]) - Constructor for class flanagan.analysis.Regression
 
Regression(double[][], double[]) - Constructor for class flanagan.analysis.Regression
 
Regression(double[][], double[][]) - Constructor for class flanagan.analysis.Regression
 
Regression(double[], double[]) - Constructor for class flanagan.analysis.Regression
 
Regression(double[], double[][]) - Constructor for class flanagan.analysis.Regression
 
Regression(double[], double, double) - Constructor for class flanagan.analysis.Regression
 
Regression(double[], double) - Constructor for class flanagan.analysis.Regression
 
RegressionFunction - Interface in flanagan.analysis
 
RegressionFunction2 - Interface in flanagan.analysis
 
regularisedBetaFunction(double, double, double) - Static method in class flanagan.analysis.Stat
 
regularisedGammaFunction(double, double) - Static method in class flanagan.analysis.Stat
 
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).
regularizedBetaFunction(double, double, double) - Static method in class flanagan.analysis.Stat
 
regularizedGammaFunction(double, double) - Static method in class flanagan.analysis.Stat
 
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 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).
remove(int) - Method in class cern.colt.list.AbstractList
Removes the element at the specified position from the receiver.
remove(int) - Method in class cern.colt.list.adapter.DoubleListAdapter
Removes the element at the specified position in this list (optional operation).
remove(int) - Method in class cern.colt.list.adapter.FloatListAdapter
Removes the element at the specified position in this list (optional operation).
remove(int) - Method in class cern.colt.list.adapter.IntListAdapter
Removes the element at the specified position in this list (optional operation).
remove(int) - Method in class cern.colt.list.adapter.LongListAdapter
Removes the element at the specified position in this list (optional operation).
remove(int) - Method in class cern.colt.list.adapter.ObjectListAdapter
Removes the element at the specified position in this list (optional operation).
remove(String) - Method in class hep.aida.ref.function.FunctionCatalog
 
removeAll(AbstractBooleanList) - Method in class cern.colt.list.AbstractBooleanList
Removes from the receiver all elements that are contained in the specified list.
removeAll(AbstractByteList) - Method in class cern.colt.list.AbstractByteList
Removes from the receiver all elements that are contained in the specified list.
removeAll(AbstractCharList) - Method in class cern.colt.list.AbstractCharList
Removes from the receiver all elements that are contained in the specified list.
removeAll(AbstractDoubleList) - Method in class cern.colt.list.AbstractDoubleList
Removes from the receiver all elements that are contained in the specified list.
removeAll(AbstractFloatList) - Method in class cern.colt.list.AbstractFloatList
Removes from the receiver all elements that are contained in the specified list.
removeAll(AbstractIntList) - Method in class cern.colt.list.AbstractIntList
Removes from the receiver all elements that are contained in the specified list.
removeAll(AbstractLongList) - Method in class cern.colt.list.AbstractLongList
Removes from the receiver all elements that are contained in the specified list.
removeAll(AbstractShortList) - Method in class cern.colt.list.AbstractShortList
Removes from the receiver all elements that are contained in the specified list.
removeAll(AbstractBooleanList) - Method in class cern.colt.list.BooleanArrayList
Removes from the receiver all elements that are contained in the specified list.
removeAll(AbstractByteList) - Method in class cern.colt.list.ByteArrayList
Removes from the receiver all elements that are contained in the specified list.
removeAll(AbstractCharList) - Method in class cern.colt.list.CharArrayList
Removes from the receiver all elements that are contained in the specified list.
removeAll(AbstractDoubleList) - Method in class cern.colt.list.DoubleArrayList
Removes from the receiver all elements that are contained in the specified list.
removeAll(AbstractFloatList) - Method in class cern.colt.list.FloatArrayList
Removes from the receiver all elements that are contained in the specified list.
removeAll(AbstractIntList) - Method in class cern.colt.list.IntArrayList
Removes from the receiver all elements that are contained in the specified list.
removeAll(AbstractLongList) - Method in class cern.colt.list.LongArrayList
Removes from the receiver all elements that are contained in the specified list.
removeAll(ObjectArrayList, boolean) - Method in class cern.colt.list.ObjectArrayList
Removes from the receiver all elements that are contained in the specified list.
removeAll(AbstractShortList) - Method in class cern.colt.list.ShortArrayList
Removes from the receiver all elements that are contained in the specified list.
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
 
removeAllOf(DoubleArrayList) - Method in class cern.hep.aida.bin.DynamicBin1D
Removes from the receiver all elements that are contained in the specified list.
removeBounds() - Method in class hep.aida.ref.fitter.FitParameterSettings
 
removeConstraints() - Method in class flanagan.analysis.Regression
 
removeConstraints() - Method in class flanagan.math.Maximisation
 
removeConstraints() - Method in class flanagan.math.Minimisation
 
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
 
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.
removeFromTo(int, int) - Method in class cern.colt.list.AbstractBooleanList
Removes from the receiver all elements whose index is between from, inclusive and to, inclusive.
removeFromTo(int, int) - Method in class cern.colt.list.AbstractByteList
Removes from the receiver all elements whose index is between from, inclusive and to, inclusive.
removeFromTo(int, int) - Method in class cern.colt.list.AbstractCharList
Removes from the receiver all elements whose index is between from, inclusive and to, inclusive.
removeFromTo(int, int) - Method in class cern.colt.list.AbstractDoubleList
Removes from the receiver all elements whose index is between from, inclusive and to, inclusive.
removeFromTo(int, int) - Method in class cern.colt.list.AbstractFloatList
Removes from the receiver all elements whose index is between from, inclusive and to, inclusive.
removeFromTo(int, int) - Method in class cern.colt.list.AbstractIntList
Removes from the receiver all elements whose index is between from, inclusive and to, inclusive.
removeFromTo(int, int) - Method in class cern.colt.list.AbstractList
Removes from the receiver all elements whose index is between from, inclusive and to, inclusive.
removeFromTo(int, int) - Method in class cern.colt.list.AbstractLongList
Removes from the receiver all elements whose index is between from, inclusive and to, inclusive.
removeFromTo(int, int) - Method in class cern.colt.list.AbstractShortList
Removes from the receiver all elements whose index is between from, inclusive and to, inclusive.
removeFromTo(int, int) - Method in class cern.colt.list.DistinctNumberList
Removes from the receiver all elements whose index is between from, inclusive and to, inclusive.
removeFromTo(int, int) - Method in class cern.colt.list.ObjectArrayList
Removes from the receiver all elements whose index is between from, inclusive and to, inclusive.
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.
removeKey(double) - Method in class cern.colt.map.AbstractDoubleIntMap
Removes the given key with its associated element from the receiver, if present.
removeKey(int) - Method in class cern.colt.map.AbstractIntDoubleMap
Removes the given key with its associated element from the receiver, if present.
removeKey(int) - Method in class cern.colt.map.AbstractIntIntMap
Removes the given key with its associated element from the receiver, if present.
removeKey(int) - Method in class cern.colt.map.AbstractIntObjectMap
Removes the given key with its associated element from the receiver, if present.
removeKey(long) - Method in class cern.colt.map.AbstractLongObjectMap
Removes the given key with its associated element from the receiver, if present.
removeKey(double) - Method in class cern.colt.map.OpenDoubleIntHashMap
Removes the given key with its associated element from the receiver, if present.
removeKey(int) - Method in class cern.colt.map.OpenIntDoubleHashMap
Removes the given key with its associated element from the receiver, if present.
removeKey(int) - Method in class cern.colt.map.OpenIntIntHashMap
Removes the given key with its associated element from the receiver, if present.
removeKey(int) - Method in class cern.colt.map.OpenIntObjectHashMap
Removes the given key with its associated element from the receiver, if present.
removeKey(long) - Method in class cern.colt.map.OpenLongObjectHashMap
Removes the given key with its associated element from the receiver, if present.
removeListener(AIDAListener) - Method in class hep.aida.ref.event.AIDAObservable
 
removeListener(AIDAListener) - Method in interface hep.aida.ref.event.IsObservable
 
removePoint(int) - Method in class hep.aida.ref.histogram.DataPointSet
 
removeTransformer(Class) - Method in class org.apache.commons.math.util.TransformerMap
Removes a Class to Transformer Mapping in the Map.
removeWindow() - Method in class flanagan.math.FourierTransform
 
repeat(DoubleMatrix1D, int) - Method in class cern.colt.matrix.DoubleFactory1D
C = A||A||..||A; Constructs a new matrix which is concatenated repeat times.
repeat(DoubleMatrix2D, int, int) - Method in class cern.colt.matrix.DoubleFactory2D
C = A||A||..||A; Constructs a new matrix which is duplicated both along the row and column dimension.
repeat(ObjectMatrix1D, int) - Method in class cern.colt.matrix.ObjectFactory1D
C = A||A||..||A; Constructs a new matrix which is concatenated repeat times.
repeat(ObjectMatrix2D, int, int) - Method in class cern.colt.matrix.ObjectFactory2D
C = A||A||..||A; Constructs a new matrix which is duplicated both along the row and column dimension.
replaceBoxWith(int, int, int, int, BitMatrix, int, int) - Method in class cern.colt.bitvector.BitMatrix
Replaces a box of the receiver with the contents of another matrix's box.
replaceBoxWith(int, int, int, int, boolean) - Method in class cern.colt.bitvector.BitMatrix
Sets the bits in the given box to the state specified by value.
replaceFromToWith(int, int, BitVector, int) - Method in class cern.colt.bitvector.BitVector
Replaces the bits of the receiver in the given range with the bits of another bit vector.
replaceFromToWith(int, int, boolean) - Method in class cern.colt.bitvector.BitVector
Sets the bits in the given range to the state specified by value.
replaceFromToWithFrom(int, int, AbstractBooleanList, int) - Method in class cern.colt.list.AbstractBooleanList
Replaces a number of elements in the receiver with the same number of elements of another list.
replaceFromToWithFrom(int, int, AbstractByteList, int) - Method in class cern.colt.list.AbstractByteList
Replaces a number of elements in the receiver with the same number of elements of another list.
replaceFromToWithFrom(int, int, AbstractCharList, int) - Method in class cern.colt.list.AbstractCharList
Replaces a number of elements in the receiver with the same number of elements of another list.
replaceFromToWithFrom(int, int, AbstractDoubleList, int) - Method in class cern.colt.list.AbstractDoubleList
Replaces a number of elements in the receiver with the same number of elements of another list.
replaceFromToWithFrom(int, int, AbstractFloatList, int) - Method in class cern.colt.list.AbstractFloatList
Replaces a number of elements in the receiver with the same number of elements of another list.
replaceFromToWithFrom(int, int, AbstractIntList, int) - Method in class cern.colt.list.AbstractIntList
Replaces a number of elements in the receiver with the same number of elements of another list.
replaceFromToWithFrom(int, int, AbstractLongList, int) - Method in class cern.colt.list.AbstractLongList
Replaces a number of elements in the receiver with the same number of elements of another list.
replaceFromToWithFrom(int, int, AbstractShortList, int) - Method in class cern.colt.list.AbstractShortList
Replaces a number of elements in the receiver with the same number of elements of another list.
replaceFromToWithFrom(int, int, AbstractBooleanList, int) - Method in class cern.colt.list.BooleanArrayList
Replaces a number of elements in the receiver with the same number of elements of another list.
replaceFromToWithFrom(int, int, AbstractByteList, int) - Method in class cern.colt.list.ByteArrayList
Replaces a number of elements in the receiver with the same number of elements of another list.
replaceFromToWithFrom(int, int, AbstractCharList, int) - Method in class cern.colt.list.CharArrayList
Replaces a number of elements in the receiver with the same number of elements of another list.
replaceFromToWithFrom(int, int, AbstractDoubleList, int) - Method in class cern.colt.list.DoubleArrayList
Replaces a number of elements in the receiver with the same number of elements of another list.
replaceFromToWithFrom(int, int, AbstractFloatList, int) - Method in class cern.colt.list.FloatArrayList
Replaces a number of elements in the receiver with the same number of elements of another list.
replaceFromToWithFrom(int, int, AbstractIntList, int) - Method in class cern.colt.list.IntArrayList
Replaces a number of elements in the receiver with the same number of elements of another list.
replaceFromToWithFrom(int, int, AbstractLongList, int) - Method in class cern.colt.list.LongArrayList
Replaces a number of elements in the receiver with the same number of elements of another list.
replaceFromToWithFrom(int, int, ObjectArrayList, int) - Method in class cern.colt.list.ObjectArrayList
Replaces a number of elements in the receiver with the same number of elements of another list.
replaceFromToWithFrom(int, int, AbstractShortList, int) - Method in class cern.colt.list.ShortArrayList
Replaces a number of elements in the receiver with the same number of elements of another list.
replaceFromToWithFromTo(int, int, AbstractBooleanList, int, int) - Method in class cern.colt.list.AbstractBooleanList
Replaces the part between from (inclusive) and to (inclusive) with the other list's part between otherFrom and otherTo.
replaceFromToWithFromTo(int, int, AbstractByteList, int, int) - Method in class cern.colt.list.AbstractByteList
Replaces the part between from (inclusive) and to (inclusive) with the other list's part between otherFrom and otherTo.
replaceFromToWithFromTo(int, int, AbstractCharList, int, int) - Method in class cern.colt.list.AbstractCharList
Replaces the part between from (inclusive) and to (inclusive) with the other list's part between otherFrom and otherTo.
replaceFromToWithFromTo(int, int, AbstractDoubleList, int, int) - Method in class cern.colt.list.AbstractDoubleList
Replaces the part between from (inclusive) and to (inclusive) with the other list's part between otherFrom and otherTo.
replaceFromToWithFromTo(int, int, AbstractFloatList, int, int) - Method in class cern.colt.list.AbstractFloatList
Replaces the part between from (inclusive) and to (inclusive) with the other list's part between otherFrom and otherTo.
replaceFromToWithFromTo(int, int, AbstractIntList, int, int) - Method in class cern.colt.list.AbstractIntList
Replaces the part between from (inclusive) and to (inclusive) with the other list's part between otherFrom and otherTo.
replaceFromToWithFromTo(int, int, AbstractLongList, int, int) - Method in class cern.colt.list.AbstractLongList
Replaces the part between from (inclusive) and to (inclusive) with the other list's part between otherFrom and otherTo.
replaceFromToWithFromTo(int, int, AbstractShortList, int, int) - Method in class cern.colt.list.AbstractShortList
Replaces the part between from (inclusive) and to (inclusive) with the other list's part between otherFrom and otherTo.
replaceFromToWithFromTo(int, int, ObjectArrayList, int, int) - Method in class cern.colt.list.ObjectArrayList
Replaces the part between from (inclusive) and to (inclusive) with the other list's part between otherFrom and otherTo.
replaceFromWith(int, Collection) - Method in class cern.colt.list.AbstractBooleanList
Replaces the part of the receiver starting at from (inclusive) with all the elements of the specified collection.
replaceFromWith(int, Collection) - Method in class cern.colt.list.AbstractByteList
Replaces the part of the receiver starting at from (inclusive) with all the elements of the specified collection.
replaceFromWith(int, Collection) - Method in class cern.colt.list.AbstractCharList
Replaces the part of the receiver starting at from (inclusive) with all the elements of the specified collection.
replaceFromWith(int, Collection) - Method in class cern.colt.list.AbstractDoubleList
Replaces the part of the receiver starting at from (inclusive) with all the elements of the specified collection.
replaceFromWith(int, Collection) - Method in class cern.colt.list.AbstractFloatList
Replaces the part of the receiver starting at from (inclusive) with all the elements of the specified collection.
replaceFromWith(int, Collection) - Method in class cern.colt.list.AbstractIntList
Replaces the part of the receiver starting at from (inclusive) with all the elements of the specified collection.
replaceFromWith(int, Collection) - Method in class cern.colt.list.AbstractList
Replaces the part of the receiver starting at from (inclusive) with all the elements of the specified collection.
replaceFromWith(int, Collection) - Method in class cern.colt.list.AbstractLongList
Replaces the part of the receiver starting at from (inclusive) with all the elements of the specified collection.
replaceFromWith(int, Collection) - Method in class cern.colt.list.AbstractShortList
Replaces the part of the receiver starting at from (inclusive) with all the elements of the specified collection.
replaceFromWith(int, Collection) - Method in class cern.colt.list.ObjectArrayList
Replaces the part of the receiver starting at from (inclusive) with all the elements of the specified collection.
REPLAY_MODE - Static variable in class org.apache.commons.math.random.ValueServer
Replay data from valuesFilePath
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.
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 cern.colt.Timer
Resets the timer.
reset() - Method in class cern.hep.aida.ref.Histogram1D
 
reset() - Method in class cern.hep.aida.ref.Histogram2D
 
reset() - Method in class cern.hep.aida.ref.Histogram3D
 
reset(double, double) - Method in class flanagan.analysis.ErrorProp
 
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.regression.LRegression
reset data to 0
resetAbsoluteAccuracy() - Method in interface org.apache.commons.math.analysis.UnivariateRealSolver
Reset the absolute accuracy to the default.
resetAbsoluteAccuracy() - Method in class org.apache.commons.math.analysis.UnivariateRealSolverImpl
Reset the absolute accuracy to the default.
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
 
resetData(double[], double[], double[][]) - Method in class flanagan.interpolation.BiCubicSpline
 
resetData(double[], double[]) - Method in class flanagan.interpolation.CubicSpline
 
resetFunctionValueAccuracy() - Method in interface org.apache.commons.math.analysis.UnivariateRealSolver
Reset the actual function accuracy to the default.
resetFunctionValueAccuracy() - Method in class org.apache.commons.math.analysis.UnivariateRealSolverImpl
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.analysis.UnivariateRealSolver
Reset the upper limit for the number of iterations to the default.
resetMaximalIterationCount() - Method in class org.apache.commons.math.analysis.UnivariateRealSolverImpl
Reset the upper 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.analysis.UnivariateRealSolver
Reset the relative accuracy to the default.
resetRelativeAccuracy() - Method in class org.apache.commons.math.analysis.UnivariateRealSolverImpl
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
 
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.
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(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.
retainAll(AbstractBooleanList) - Method in class cern.colt.list.AbstractBooleanList
Retains (keeps) only the elements in the receiver that are contained in the specified other list.
retainAll(AbstractByteList) - Method in class cern.colt.list.AbstractByteList
Retains (keeps) only the elements in the receiver that are contained in the specified other list.
retainAll(AbstractCharList) - Method in class cern.colt.list.AbstractCharList
Retains (keeps) only the elements in the receiver that are contained in the specified other list.
retainAll(AbstractDoubleList) - Method in class cern.colt.list.AbstractDoubleList
Retains (keeps) only the elements in the receiver that are contained in the specified other list.
retainAll(AbstractFloatList) - Method in class cern.colt.list.AbstractFloatList
Retains (keeps) only the elements in the receiver that are contained in the specified other list.
retainAll(AbstractIntList) - Method in class cern.colt.list.AbstractIntList
Retains (keeps) only the elements in the receiver that are contained in the specified other list.
retainAll(AbstractLongList) - Method in class cern.colt.list.AbstractLongList
Retains (keeps) only the elements in the receiver that are contained in the specified other list.
retainAll(AbstractShortList) - Method in class cern.colt.list.AbstractShortList
Retains (keeps) only the elements in the receiver that are contained in the specified other list.
retainAll(AbstractBooleanList) - Method in class cern.colt.list.BooleanArrayList
Retains (keeps) only the elements in the receiver that are contained in the specified other list.
retainAll(AbstractByteList) - Method in class cern.colt.list.ByteArrayList
Retains (keeps) only the elements in the receiver that are contained in the specified other list.
retainAll(AbstractCharList) - Method in class cern.colt.list.CharArrayList
Retains (keeps) only the elements in the receiver that are contained in the specified other list.
retainAll(AbstractDoubleList) - Method in class cern.colt.list.DoubleArrayList
Retains (keeps) only the elements in the receiver that are contained in the specified other list.
retainAll(AbstractFloatList) - Method in class cern.colt.list.FloatArrayList
Retains (keeps) only the elements in the receiver that are contained in the specified other list.
retainAll(AbstractIntList) - Method in class cern.colt.list.IntArrayList
Retains (keeps) only the elements in the receiver that are contained in the specified other list.
retainAll(AbstractLongList) - Method in class cern.colt.list.LongArrayList
Retains (keeps) only the elements in the receiver that are contained in the specified other list.
retainAll(ObjectArrayList, boolean) - Method in class cern.colt.list.ObjectArrayList
Retains (keeps) only the elements in the receiver that are contained in the specified other list.
retainAll(AbstractShortList) - Method in class cern.colt.list.ShortArrayList
Retains (keeps) only the elements in the receiver that are contained in the specified other list.
reverse() - Method in class cern.colt.list.AbstractBooleanList
Reverses the elements of the receiver.
reverse() - Method in class cern.colt.list.AbstractByteList
Reverses the elements of the receiver.
reverse() - Method in class cern.colt.list.AbstractCharList
Reverses the elements of the receiver.
reverse() - Method in class cern.colt.list.AbstractDoubleList
Reverses the elements of the receiver.
reverse() - Method in class cern.colt.list.AbstractFloatList
Reverses the elements of the receiver.
reverse() - Method in class cern.colt.list.AbstractIntList
Reverses the elements of the receiver.
reverse() - Method in class cern.colt.list.AbstractList
Reverses the elements of the receiver.
reverse() - Method in class cern.colt.list.AbstractLongList
Reverses the elements of the receiver.
reverse() - Method in class cern.colt.list.AbstractShortList
Reverses the elements of the receiver.
reverse() - Method in class cern.colt.list.BooleanArrayList
Reverses the elements of the receiver.
reverse() - Method in class cern.colt.list.ByteArrayList
Reverses the elements of the receiver.
reverse() - Method in class cern.colt.list.CharArrayList
Reverses the elements of the receiver.
reverse() - Method in class cern.colt.list.DoubleArrayList
Reverses the elements of the receiver.
reverse() - Method in class cern.colt.list.FloatArrayList
Reverses the elements of the receiver.
reverse() - Method in class cern.colt.list.IntArrayList
Reverses the elements of the receiver.
reverse() - Method in class cern.colt.list.LongArrayList
Reverses the elements of the receiver.
reverse() - Method in class cern.colt.list.ObjectArrayList
Reverses the elements of the receiver.
reverse() - Method in class cern.colt.list.ShortArrayList
Reverses the elements of the receiver.
reverseArray(double[]) - Static method in class flanagan.math.Fmath
 
reverseArray(float[]) - Static method in class flanagan.math.Fmath
 
reverseArray(int[]) - Static method in class flanagan.math.Fmath
 
reverseArray(long[]) - Static method in class flanagan.math.Fmath
 
reverseArray(char[]) - Static method in class flanagan.math.Fmath
 
reverseYsign(String) - Method in class flanagan.analysis.Regression
 
RIGHT - Static variable in class cern.colt.matrix.impl.AbstractFormatter
The alignment string aligning the cells of a column to the right.
rint - Static variable in class cern.jet.math.Functions
Function that returns Math.rint(a).
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() - Method in class cern.hep.aida.bin.AbstractBin1D
Returns the rms (Root Mean Square), which is Math.sqrt( Sum( x[i]*x[i] ) / size() ).
rms - Static variable in class cern.hep.aida.bin.BinFunctions1D
Function that returns bin.rms().
rms() - Method in class cern.hep.aida.ref.Histogram1D
 
rms(int, double) - Static method in class cern.jet.stat.Descriptive
Returns the RMS (Root-Mean-Square) of a data sequence.
rms(double[]) - Static method in class flanagan.analysis.Stat
 
rms(float[]) - Static method in class flanagan.analysis.Stat
 
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
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() - Method in class cern.hep.aida.ref.Histogram2D
 
rmsX() - Method in class cern.hep.aida.ref.Histogram3D
 
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
 
rmsY() - Method in class cern.hep.aida.ref.Histogram2D
 
rmsY() - Method in class cern.hep.aida.ref.Histogram3D
 
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
 
rmsZ() - Method in class cern.hep.aida.ref.Histogram3D
 
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.
RootHistogramBrowser - Class in jhplot.root
A simple application for browsing histograms in Root Files
RootHistogramBrowser() - Constructor for class jhplot.root.RootHistogramBrowser
Histogram browser
round(double) - Static method in class cern.jet.math.Functions
Constructs a function that returns the number rounded to the given precision; Math.rint(a/precision)*precision.
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
 
rowCompressed - Static variable in class cern.colt.matrix.DoubleFactory2D
A factory producing sparse row compressed matrices.
rows() - Method in class cern.colt.bitvector.BitMatrix
Returns the number of rows of the receiver.
rows() - Method in class cern.colt.matrix.impl.AbstractMatrix2D
Returns the number of rows.
rows() - Method in class cern.colt.matrix.impl.AbstractMatrix3D
Returns the number of rows.
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
 
run(int) - Method in class jminhep.cluster.Partition
Main method to run cluster algorithm
RungeKutta - Class in flanagan.integration
 
RungeKutta() - Constructor for class flanagan.integration.RungeKutta
 

S

s - Static variable in class cern.clhep.Units
 
sample(int, double, double) - Method in class cern.colt.matrix.DoubleFactory1D
Constructs a randomly sampled matrix with the given shape.
sample(int, int, double, double) - Method in class cern.colt.matrix.DoubleFactory2D
Constructs a randomly sampled matrix with the given shape.
sample(DoubleMatrix2D, double, double) - Method in class cern.colt.matrix.DoubleFactory2D
Modifies the given matrix to be a randomly sampled matrix.
sample(int, boolean, RandomEngine, DoubleBuffer) - Method in class cern.hep.aida.bin.DynamicBin1D
Uniformly samples (chooses) n random elements with or without replacement from the contained elements and adds them to the given buffer.
sample(long, long, int, long, long[], int, RandomEngine) - Static method in class cern.jet.random.sampling.RandomSampler
Efficiently computes a sorted random set of count elements from the interval [low,low+N-1].
sampleArray(int, int[]) - Static method in class cern.jet.random.sampling.RandomSamplingAssistant
Just shows how this class can be used; samples n elements from and int[] array.
sampleBootstrap(DynamicBin1D, int, RandomEngine, BinBinFunction1D) - Method in class cern.hep.aida.bin.DynamicBin1D
Generic bootstrap resampling.
sampleKurtosis(int, double, double) - Static method in class cern.jet.stat.Descriptive
Returns the sample kurtosis (aka excess) of a data sequence.
sampleKurtosis(DoubleArrayList, double, double) - Static method in class cern.jet.stat.Descriptive
Returns the sample kurtosis (aka excess) of a data sequence.
sampleKurtosisStandardError(int) - Static method in class cern.jet.stat.Descriptive
Return the standard error of the sample kurtosis.
sampleNextElement() - Method in class cern.jet.random.sampling.RandomSamplingAssistant
Returns whether the next element of the input sequence shall be sampled (picked) or not.
sampleNextElement() - Method in class cern.jet.random.sampling.WeightedRandomSampler
Chooses exactly one random element from successive blocks of weight input elements each.
sampleSkew(int, double, double) - Static method in class cern.jet.stat.Descriptive
Returns the sample skew of a data sequence.
sampleSkew(DoubleArrayList, double, double) - Static method in class cern.jet.stat.Descriptive
Returns the sample skew of a data sequence.
sampleSkewStandardError(int) - Static method in class cern.jet.stat.Descriptive
Return the standard error of the sample skew.
sampleStandardDeviation(int, double) - Static method in class cern.jet.stat.Descriptive
Returns the sample standard deviation.
sampleVariance(int, double, double) - Static method in class cern.jet.stat.Descriptive
Returns the sample variance of a data sequence.
sampleVariance(DoubleArrayList, double) - Static method in class cern.jet.stat.Descriptive
Returns the sample variance of a data sequence.
sampleWeightedVariance(double, double, double) - Static method in class cern.jet.stat.Descriptive
Returns the sample weighted variance of a data sequence.
scalarAdd(BigDecimal) - Method in interface org.apache.commons.math.linear.BigMatrix
Returns the result of adding d to each entry of this.
scalarAdd(BigDecimal) - Method in class org.apache.commons.math.linear.BigMatrixImpl
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.
scalarAdd(double) - Method in class org.apache.commons.math.linear.RealMatrixImpl
Returns the result of adding d to each entry of this.
scalarMatrix(int, double) - Static method in class flanagan.math.Matrix
 
scalarMultiply(BigDecimal) - Method in interface org.apache.commons.math.linear.BigMatrix
Returns the result multiplying each entry of this by d.
scalarMultiply(BigDecimal) - Method in class org.apache.commons.math.linear.BigMatrixImpl
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.
scalarMultiply(double) - Method in class org.apache.commons.math.linear.RealMatrixImpl
Returns the result multiplying each entry of this by d
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
 
scaleErrors(double) - Method in class hep.aida.ref.histogram.DataPointSet
 
scaleValues(double) - Method in class hep.aida.ref.histogram.DataPointSet
 
sec(double) - Static method in class flanagan.math.Fmath
 
SecantSolver - Class in org.apache.commons.math.analysis
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.SecantSolver
Construct a solver for the given function.
sech(double) - Static method in class flanagan.math.Fmath
 
second - Static variable in class cern.clhep.Units
 
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
seconds() - Method in class cern.colt.Timer
Returns the elapsed time in seconds; does not stop the timer, if started.
SECONDS - Static variable in class jhplot.JHPlot
 
selectionSort(double[]) - Static method in class flanagan.math.Fmath
 
selectionSort(float[]) - Static method in class flanagan.math.Fmath
 
selectionSort(int[]) - Static method in class flanagan.math.Fmath
 
selectionSort(long[]) - Static method in class flanagan.math.Fmath
 
selectionSort(double[], double[], int[]) - Static method in class flanagan.math.Fmath
 
selectionSort(double[], double[], double[], double[]) - Static method in class flanagan.math.Fmath
 
selectionSort(float[], float[], float[], float[]) - Static method in class flanagan.math.Fmath
 
selectionSort(long[], long[], long[], long[]) - Static method in class flanagan.math.Fmath
 
selectionSort(int[], int[], int[], int[]) - Static method in class flanagan.math.Fmath
 
selectionSort(double[], long[], double[], long[]) - Static method in class flanagan.math.Fmath
 
selectionSort(long[], double[], long[], double[]) - Static method in class flanagan.math.Fmath
 
selectionSort(double[], int[], double[], int[]) - Static method in class flanagan.math.Fmath
 
selectionSort(int[], double[], int[], double[]) - Static method in class flanagan.math.Fmath
 
selectionSort(long[], int[], long[], int[]) - Static method in class flanagan.math.Fmath
 
selectionSort(int[], long[], int[], long[]) - Static method in class flanagan.math.Fmath
 
selectSort(double[], double[], int[]) - Static method in class flanagan.math.Fmath
 
selectSortVector(double[]) - Static method in class flanagan.math.Fmath
 
seLocation(double, double) - Method in class jhplot.HLabel
Sets the location of this label in data coordinates.
semiBandwidth(DoubleMatrix2D) - Method in class cern.colt.matrix.linalg.Property
Returns the semi-bandwidth of the given square matrix A.
SeqBlas - Class in cern.colt.matrix.linalg
Sequential implementation of the Basic Linear Algebra System.
seqBlas - Static variable in class cern.colt.matrix.linalg.SeqBlas
Little trick to allow for "aliasing", that is, renaming this class.
serialVersionUID - Static variable in class cern.colt.PersistentObject
 
set(int) - Method in class cern.colt.bitvector.BitVector
Changes the bit with index bitIndex to the "set" (true) state.
set(long[], int) - Static method in class cern.colt.bitvector.QuickBitVector
Changes the bit with index bitIndex in the bitvector bits to the "set" (true) state.
set(int, boolean) - Method in class cern.colt.list.AbstractBooleanList
Replaces the element at the specified position in the receiver with the specified element.
set(int, byte) - Method in class cern.colt.list.AbstractByteList
Replaces the element at the specified position in the receiver with the specified element.
set(int, char) - Method in class cern.colt.list.AbstractCharList
Replaces the element at the specified position in the receiver with the specified element.
set(int, double) - Method in class cern.colt.list.AbstractDoubleList
Replaces the element at the specified position in the receiver with the specified element.
set(int, float) - Method in class cern.colt.list.AbstractFloatList
Replaces the element at the specified position in the receiver with the specified element.
set(int, int) - Method in class cern.colt.list.AbstractIntList
Replaces the element at the specified position in the receiver with the specified element.
set(int, long) - Method in class cern.colt.list.AbstractLongList
Replaces the element at the specified position in the receiver with the specified element.
set(int, short) - Method in class cern.colt.list.AbstractShortList
Replaces the element at the specified position in the receiver with the specified element.
set(int, Object) - Method in class cern.colt.list.adapter.DoubleListAdapter
Replaces the element at the specified position in this list with the specified element (optional operation).
set(int, Object) - Method in class cern.colt.list.adapter.FloatListAdapter
Replaces the element at the specified position in this list with the specified element (optional operation).
set(int, Object) - Method in class cern.colt.list.adapter.IntListAdapter
Replaces the element at the specified position in this list with the specified element (optional operation).
set(int, Object) - Method in class cern.colt.list.adapter.LongListAdapter
Replaces the element at the specified position in this list with the specified element (optional operation).
set(int, Object) - Method in class cern.colt.list.adapter.ObjectListAdapter
Replaces the element at the specified position in this list with the specified element (optional operation).
set(int, boolean) - Method in class cern.colt.list.BooleanArrayList
Replaces the element at the specified position in the receiver with the specified element.
set(int, byte) - Method in class cern.colt.list.ByteArrayList
Replaces the element at the specified position in the receiver with the specified element.
set(int, char) - Method in class cern.colt.list.CharArrayList
Replaces the element at the specified position in the receiver with the specified element.
set(int, double) - Method in class cern.colt.list.DoubleArrayList
Replaces the element at the specified position in the receiver with the specified element.
set(int, float) - Method in class cern.colt.list.FloatArrayList
Replaces the element at the specified position in the receiver with the specified element.
set(int, int) - Method in class cern.colt.list.IntArrayList
Replaces the element at the specified position in the receiver with the specified element.
set(int, long) - Method in class cern.colt.list.LongArrayList
Replaces the element at the specified position in the receiver with the specified element.
set(int, Object) - Method in class cern.colt.list.ObjectArrayList
Replaces the element at the specified position in the receiver with the specified element.
set(int, short) - Method in class cern.colt.list.ShortArrayList
Replaces the element at the specified position in the receiver with the specified element.
set(int, double) - Method in class cern.colt.matrix.DoubleMatrix1D
Sets the matrix cell at coordinate index to the specified value.
set(int, int, double) - Method in class cern.colt.matrix.DoubleMatrix2D
Sets the matrix cell at coordinate [row,column] to the specified value.
set(int, int, int, double) - Method in class cern.colt.matrix.DoubleMatrix3D
Sets the matrix cell at coordinate [slice,row,column] to the specified value.
set(int, Object) - Method in class cern.colt.matrix.ObjectMatrix1D
Sets the matrix cell at coordinate index to the specified value.
set(int, int, Object) - Method in class cern.colt.matrix.ObjectMatrix2D
Sets the matrix cell at coordinate [row,column] to the specified value.
set(int, int, int, Object) - Method in class cern.colt.matrix.ObjectMatrix3D
Sets the matrix cell at coordinate [slice,row,column] to the specified value.
set - Variable in class jhplot.HChart
 
set - Variable in class jhplot.HGraph
 
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, int) - Method in class jminhep.cluster.Partition
Set parameters for clustering
setAbsoluteAccuracy(double) - Method in interface org.apache.commons.math.analysis.UnivariateRealSolver
Set the absolute accuracy.
setAbsoluteAccuracy(double) - Method in class org.apache.commons.math.analysis.UnivariateRealSolverImpl
Set the absolute accuracy.
setAlignment(String) - Method in class cern.colt.matrix.impl.AbstractFormatter
Sets the column alignment (left,center,right,decimal).
setAlpha(double) - Method in interface org.apache.commons.math.distribution.GammaDistribution
Modify the shape parameter, alpha.
setAlpha(double) - Method in class org.apache.commons.math.distribution.GammaDistributionImpl
Modify the shape parameter, alpha.
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
setAntiAliasAll(boolean) - Method in class jhplot.HPlot
Set antialiasing for the graphics of all plots
setAutoRange(boolean) - Method in class jhplot.HChart
Set autorange 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
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 autorange 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
setAxesColor(Color) - Method in class jhplot.HPlot
Sets the actual color of the axes of the graph.
setAxesRatio(double) - Method in class jhplot.HPlot
Sets the ratio between X- and Y-axes lengths.
setAxis(int, boolean) - Method in class jhplot.HPlot
Sets whether an axis will be drawn or not.
setAxisMirror(int, boolean) - Method in class jhplot.HPlot
Sets whether the mirror of an axis will be drawn or not.
setBackgColor(Color) - Method in class jhplot.HPlot
Sets the actual background color of the entire graph panel.
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.
setBartlett() - Method in class flanagan.math.FourierTransform
 
setBeta(double) - Method in interface org.apache.commons.math.distribution.GammaDistribution
Modify the scale parameter, beta.
setBeta(double) - Method in class org.apache.commons.math.distribution.GammaDistributionImpl
Modify the scale parameter, beta.
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.
setBins(int) - Method in class jhplot.H1D
Sets the number of bins
setBinWidth(double) - Method in class jhplot.DrawOptions
Set the bin width.
setBounds(double, double) - Method in class hep.aida.ref.fitter.FitParameterSettings
 
setBox(boolean) - Method in class jhplot.HPlot
Sets whether or not to draw the bounding box arround 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
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.
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.
setChartArea() - Method in class jhplot.HChart
Make a 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
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.HLabel
Sets the color to a specific value
setColor(Color) - Method in class jhplot.shapes.HShape
Sets the color to a specific value
setColorMode(int) - Method in class jhplot.HPlot3D
Sets the color mode
setColumnSeparator(String) - Method in class cern.colt.matrix.impl.AbstractFormatter
Sets the string separating any two columns from another.
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
 
setConstraint(String) - Method in class hep.aida.ref.fitter.Fitter
 
setConstraintMethod(int) - Method in class flanagan.math.Maximisation
 
setConstraintMethod(int) - Method in class flanagan.math.Minimisation
 
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
 
setContour(boolean) - Method in class jhplot.HPlot
Set to a countour style
setContour() - Method in class jhplot.HPlot3D
Set Contour type of plot
setContourBar(boolean) - Method in class jhplot.HPlot
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)
setContourGray(boolean) - Method in class jhplot.HPlot
Color style to show contour plot.
setContourLevels(int) - Method in class jhplot.HPlot
How many color levels shuul be shown (10 default)
setContractionCriteria(float) - Method in class org.apache.commons.math.util.ResizableDoubleArray
Sets the contraction criteria for this ExpandContractDoubleArray.
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
 
setCovMatrixElement(int, int, double) - Method in class hep.aida.ref.fitter.FitResult
 
setDashed(double) - Method in class jhplot.shapes.HShape
Set dashed line
setData(double[]) - Method in class flanagan.math.FourierTransform
 
setData(Complex[]) - Method in class flanagan.math.FourierTransform
 
setDataArray(DataArray) - Method in class jhplot.P1D
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
setDegreesOfFreedom(double) - Method in interface org.apache.commons.math.distribution.ChiSquaredDistribution
Modify the degrees of freedom.
setDegreesOfFreedom(double) - Method in class org.apache.commons.math.distribution.ChiSquaredDistributionImpl
Modify the degrees of freedom.
setDegreesOfFreedom(double) - Method in interface org.apache.commons.math.distribution.TDistribution
Modify the degrees of freedom.
setDegreesOfFreedom(double) - Method in class org.apache.commons.math.distribution.TDistributionImpl
Modify the degrees of freedom.
setDelta(double) - Method in class flanagan.analysis.Regression
 
setDeltaT(double) - Method in class flanagan.math.FourierTransform
 
setDenominatorDegreesOfFreedom(double) - Method in interface org.apache.commons.math.distribution.FDistribution
Modify the denominator degrees of freedom.
setDenominatorDegreesOfFreedom(double) - Method in class org.apache.commons.math.distribution.FDistributionImpl
Modify the denominator degrees of freedom.
setDenominatorFormat(NumberFormat) - Method in class org.apache.commons.math.fraction.FractionFormat
Modify the denominator format.
setDensity() - Method in class jhplot.HPlot3D
Set density type of plot
setDeriv(double[][]) - Method in class flanagan.interpolation.BiCubicSpline
 
setDeriv(double, double) - Method in class flanagan.interpolation.CubicSpline
 
setDeriv(double[]) - Method in class flanagan.interpolation.CubicSpline
 
setDerivLimits(double, double) - Method in class flanagan.interpolation.CubicSpline
 
setDerivLimits() - Method in class flanagan.interpolation.CubicSpline
 
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
setDimension(int) - Method in class hep.aida.ref.function.AbstractDevModelFunction
 
setDimention(int) - Method in class jminhep.cluster.DataHolder
Set the dimension of the data
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
setDotted(double) - Method in class jhplot.shapes.HShape
Set dotted line
setDrawLine(boolean) - Method in class jhplot.DrawOptions
Draw lines connecting points or not
setDrawOption(LinePars) - Method in class jhplot.DrawOptions
Sets drawing attributes
setDrawSymbol(boolean) - Method in class jhplot.DrawOptions
Draw or not symbols
setElement(int, int, double) - Method in class flanagan.math.Matrix
 
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.
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
 
setErr(boolean) - Method in class jhplot.DrawOptions
Set or not the 1st level errors on X and Y
setErrAll(boolean) - Method in class jhplot.DrawOptions
Show or not all errors (1st and 2nd level).
setErrColor(Color) - 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(double) - Method in class flanagan.analysis.ErrorProp
 
setErrorMinus(double) - Method in class hep.aida.ref.histogram.Measurement
 
setErrorPlus(double) - Method in class hep.aida.ref.histogram.Measurement
 
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
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
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
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.
setFftData(double[]) - Method in class flanagan.math.FourierTransform
 
setFill(boolean) - Method in class jhplot.DrawOptions
Fill or not histogram/function
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
setFillColorTransparency(double) - Method in class jhplot.DrawOptions
Cet color transparency
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
 
setFixedOrder(boolean) - Method in class cern.hep.aida.bin.DynamicBin1D
Determines whether the receivers internally preserved elements may be reordered or not.
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.HLabel
Sets the font to a specific value
setFont(Font) - Method in class jhplot.shapes.Text
Set the font
setFormat(String) - Method in class cern.colt.matrix.impl.AbstractFormatter
Sets the way a single cell value is to be formatted.
setFunctionValueAccuracy(double) - Method in interface org.apache.commons.math.analysis.UnivariateRealSolver
Set the function value accuracy.
setFunctionValueAccuracy(double) - Method in class org.apache.commons.math.analysis.UnivariateRealSolverImpl
Set the function value accuracy.
setGaussian(double) - Method in class flanagan.math.FourierTransform
 
setGaussian() - Method in class flanagan.math.FourierTransform
 
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
setGFont(Font) - Method in class jhplot.GHMargin
Set the font
setGLpoints(int) - Method in class flanagan.integration.Integration
 
setGraph() - Method in class jhplot.HPlot
Set the graph from JPLot
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.
setGridAll(int, boolean) - Method in class jhplot.HPlot
Sets or not the grid lines for all plots on the same canvas
setGridColorAll(Color) - Method in class jhplot.HPlot
Sets color of the grid lines for all plots on the same canvas
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.
setHamming() - Method in class flanagan.math.FourierTransform
 
setHann() - Method in class flanagan.math.FourierTransform
 
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.
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.
setIncGammaMaxIter(int) - Static method in class flanagan.analysis.Stat
 
setIncGammaTol(double) - Static method in class flanagan.analysis.Stat
 
setInnerColor(Color) - Method in class jhplot.HPlot
Sets the color used to fill the inner triangles.
setIntegrationFunction(IntegralFunction) - Method in class flanagan.integration.Integration
 
setIsValid(boolean) - Method in class hep.aida.ref.fitter.FitResult
 
setKaiser(double) - Method in class flanagan.math.FourierTransform
 
setKaiser() - Method in class flanagan.math.FourierTransform
 
setLabelColor(Color) - Method in class jhplot.HPlot3D
Set color of the label
setLabelFont(Font) - Method in class jhplot.HPlot3D
Set Font for the labels
setLabelOffset(double) - Method in class jhplot.HPlot3D
Set label offset
setLegend(boolean) - Method in class jhplot.DrawOptions
Sets whether or not this linestyle 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.
setLegendFont(Font) - Method in class jhplot.HPlot
Sets the actual font of the legend.
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) - Method in class jhplot.HPlot
Sets the x and y coordinates (defined relative to the actual axes values) of the legend.
setLegendSpac(double) - Method in class jhplot.HPlot
Sets the vertical spacing, between each line of the legend.
setLimits(double, double) - Method in class flanagan.integration.Integration
 
setLinePars(LinePars) - Method in class jhplot.P1D
Sets LinePars class for graphical attributes
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.
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
setLowerLimit(double) - Method in class flanagan.integration.Integration
 
setLU(DoubleMatrix2D) - Method in class cern.colt.matrix.linalg.LUDecompositionQuick
Sets the combined lower and upper triangular factor, LU.
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.
setMarginLeft(double) - Method in class jhplot.HPlot
Sets the distance between the left-border of the panel and the left Y-axis.
setMarginRight(double) - Method in class jhplot.HPlot
Sets the distance between the right-border of the panel and the right Y-axis.
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.
setMax(double) - Method in class jhplot.F1D
Set the maximum value in X
setMax(double) - Method in class jhplot.H1D
Set Maximum value of axis
setMaximalIterationCount(int) - Method in interface org.apache.commons.math.analysis.UnivariateRealSolver
Set the upper limit for the number of iterations.
setMaximalIterationCount(int) - Method in class org.apache.commons.math.analysis.UnivariateRealSolverImpl
Set the upper limit for the number of iterations.
setMaxNumberOfSubticsLog(int) - Method in class jhplot.HPlot
Sets the maximum number of subtics allowed for log10 scale.
setMaxTest(int) - Method in class flanagan.math.Maximisation
 
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
setMaxY(double) - Method in class jhplot.F2D
Set Max value in Y
setMean(double) - Method in class cern.jet.random.Poisson
Sets the mean.
setMean(double) - Method in class cern.jet.random.PoissonSlow
Sets the mean.
setMean(double) - Method in class hep.aida.ref.histogram.Profile1D
 
setMean(double) - Method in interface org.apache.commons.math.distribution.ExponentialDistribution
Modify the mean.
setMean(double) - Method in class org.apache.commons.math.distribution.ExponentialDistributionImpl
Modify the mean.
setMean(double) - Method in interface org.apache.commons.math.distribution.NormalDistribution
Modify the mean.
setMean(double) - Method in class org.apache.commons.math.distribution.NormalDistributionImpl
Modify the mean.
setMean(double) - Method in interface org.apache.commons.math.distribution.PoissonDistribution
Set the mean for the distribution.
setMean(double) - Method in class org.apache.commons.math.distribution.PoissonDistributionImpl
Set the Poisson mean for the distribution.
setMeanAndRms(double, double) - Method in class hep.aida.ref.histogram.Histogram1D
Set the mean of the Histogram.
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
 
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
 
setMeanZ(double) - Method in class hep.aida.ref.histogram.Histogram3D
 
setMedian(double) - Method in interface org.apache.commons.math.distribution.CauchyDistribution
Modify the median.
setMedian(double) - Method in class org.apache.commons.math.distribution.CauchyDistributionImpl
Modify the median.
setMethodBinary(int) - Method in class flanagan.math.PsRandom
 
setMethodDecimal(int) - Method in class flanagan.math.PsRandom
 
setMin(double) - Method in class jhplot.F1D
Set Min value in X
setMin(double) - Method in class jhplot.H1D
Set Min value of axis
setMinColumnWidth(int) - Method in class cern.colt.matrix.impl.AbstractFormatter
Sets the minimum number of characters a column may have.
setMinTest(int) - Method in class flanagan.analysis.Regression
 
setMinTest(int) - Method in class flanagan.math.Minimisation
 
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
setMinY(double) - Method in class jhplot.F2D
Set Min value in Y
setMode(int) - Method in class org.apache.commons.math.random.ValueServer
Setter for property mode.
setMu(double) - Method in class org.apache.commons.math.random.ValueServer
Setter for property mu.
setMultiText(String[]) - Method in class jhplot.HLabel
Sets multitext label (several lines)
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.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(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 in X
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.HPlot3D
Set a name for X 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 label in Y
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.HPlot3D
Set a name for Y 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 in X
setNandP(int, double) - Method in class cern.jet.random.Binomial
Sets the parameters number of trials and the probability of success.
setNandP(int, double) - Method in class cern.jet.random.NegativeBinomial
Sets the parameters number of trials and the probability of success.
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
 
setNintervals(int) - Method in class flanagan.integration.Integration
 
setNmax(int) - Method in class flanagan.analysis.Regression
 
setNmax(int) - Method in class flanagan.math.Maximisation
 
setNmax(int) - Method in class flanagan.math.Minimisation
 
setNMcontract(double) - Method in class flanagan.analysis.Regression
 
setNMcontract(double) - Method in class flanagan.math.Maximisation
 
setNMcontract(double) - Method in class flanagan.math.Minimisation
 
setNMextend(double) - Method in class flanagan.analysis.Regression
 
setNMextend(double) - Method in class flanagan.math.Maximisation
 
setNMextend(double) - Method in class flanagan.math.Minimisation
 
setNMreflect(double) - Method in class flanagan.analysis.Regression
 
setNMreflect(double) - Method in class flanagan.math.Maximisation
 
setNMreflect(double) - Method in class flanagan.math.Minimisation
 
setNormalization(boolean, boolean) - Method in class hep.aida.ref.function.AbstractDevModelFunction
 
setNormalizationRange(double, double, int) - Method in class hep.aida.ref.function.AbstractDevModelFunction
 
setNrestartsMax(int) - Method in class flanagan.analysis.Regression
 
setNrestartsMax(int) - Method in class flanagan.math.Maximisation
 
setNrestartsMax(int) - Method in class flanagan.math.Minimisation
 
setNumberOfParameters(int) - Method in class hep.aida.ref.function.AbstractDevModelFunction
 
setNumberOfSuccesses(int) - Method in interface org.apache.commons.math.distribution.HypergeometricDistribution
Modify the number of successes.
setNumberOfSuccesses(int) - Method in class org.apache.commons.math.distribution.HypergeometricDistributionImpl
Modify the number of successes.
setNumberOfTics(int, boolean) - Method in class jhplot.HPlot
Says whether the user fixes the number of tics for a specific axis.
setNumberOfTics(boolean) - Method in class jhplot.HPlot
Says whether the user fixes the number of tics for a specific for all axises.
setNumberOfTics(int, int) - Method in class jhplot.HPlot
Sets the number of tics for the specified axis.
setNumberOfTrials(int) - Method in interface org.apache.commons.math.distribution.BinomialDistribution
Change the number of trials for this distribution.
setNumberOfTrials(int) - Method in class org.apache.commons.math.distribution.BinomialDistributionImpl
Change the number of trials for this distribution.
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 interface org.apache.commons.math.distribution.FDistribution
Modify the numerator degrees of freedom.
setNumeratorDegreesOfFreedom(double) - Method in class org.apache.commons.math.distribution.FDistributionImpl
Modify the numerator degrees of freedom.
setNumeratorFormat(NumberFormat) - Method in class org.apache.commons.math.fraction.FractionFormat
Modify the numerator format.
setObservable(IsObservable) - Method in class hep.aida.ref.event.ObserverAdapter
 
setOverlapOption(boolean) - Method in class flanagan.math.FourierTransform
 
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.
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).
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
 
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.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
 
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
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
setPlotLineOption(int) - Method in class flanagan.math.FourierTransform
 
setPlotPointOption(int) - Method in class flanagan.math.FourierTransform
 
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
setPopulationSize(int) - Method in interface org.apache.commons.math.distribution.HypergeometricDistribution
Modify the population size.
setPopulationSize(int) - Method in class org.apache.commons.math.distribution.HypergeometricDistributionImpl
Modify the population size.
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
setPrintShape(boolean) - Method in class cern.colt.matrix.impl.AbstractFormatter
Specifies whether a string representation of a matrix is to be preceded with a summary of its shape.
setProbab(double) - Method in class jminhep.cluster.Partition
Set probability for cluster accosiation
setProbabilityOfSuccess(double) - Method in interface org.apache.commons.math.distribution.BinomialDistribution
Change the probability of success for this distribution.
setProbabilityOfSuccess(double) - Method in class org.apache.commons.math.distribution.BinomialDistributionImpl
Change the probability of success for this distribution.
setProperty(Property) - Method in class cern.colt.matrix.linalg.Algebra
Attaches the given property object to this Algebra, defining tolerance.
setProvidesGradient(boolean) - Method in class hep.aida.ref.function.AbstractDevModelFunction
 
setProvidesParameterGradient(boolean) - Method in class hep.aida.ref.function.AbstractDevModelFunction
 
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).
setQuick(int, boolean) - Method in class cern.colt.list.BooleanArrayList
Replaces the element at the specified position in the receiver with the specified element; WARNING: Does not check preconditions.
setQuick(int, byte) - Method in class cern.colt.list.ByteArrayList
Replaces the element at the specified position in the receiver with the specified element; WARNING: Does not check preconditions.
setQuick(int, char) - Method in class cern.colt.list.CharArrayList
Replaces the element at the specified position in the receiver with the specified element; WARNING: Does not check preconditions.
setQuick(int, long) - Method in class cern.colt.list.DistinctNumberList
Replaces the element at the specified position in the receiver with the specified element; WARNING: Does not check preconditions.
setQuick(int, double) - Method in class cern.colt.list.DoubleArrayList
Replaces the element at the specified position in the receiver with the specified element; WARNING: Does not check preconditions.
setQuick(int, float) - Method in class cern.colt.list.FloatArrayList
Replaces the element at the specified position in the receiver with the specified element; WARNING: Does not check preconditions.
setQuick(int, int) - Method in class cern.colt.list.IntArrayList
Replaces the element at the specified position in the receiver with the specified element; WARNING: Does not check preconditions.
setQuick(int, long) - Method in class cern.colt.list.LongArrayList
Replaces the element at the specified position in the receiver with the specified element; WARNING: Does not check preconditions.
setQuick(int, long) - Method in class cern.colt.list.MinMaxNumberList
Replaces the element at the specified position in the receiver with the specified element; WARNING: Does not check preconditions.
setQuick(int, Object) - Method in class cern.colt.list.ObjectArrayList
Replaces the element at the specified position in the receiver with the specified element; WARNING: Does not check preconditions.
setQuick(int, short) - Method in class cern.colt.list.ShortArrayList
Replaces the element at the specified position in the receiver with the specified element; WARNING: Does not check preconditions.
setQuick(int, double) - Method in class cern.colt.matrix.DoubleMatrix1D
Sets the matrix cell at coordinate index to the specified value.
setQuick(int, int, double) - Method in class cern.colt.matrix.DoubleMatrix2D
Sets the matrix cell at coordinate [row,column] to the specified value.
setQuick(int, int, int, double) - Method in class cern.colt.matrix.DoubleMatrix3D
Sets the matrix cell at coordinate [slice,row,column] to the specified value.
setQuick(int, double) - Method in class cern.colt.matrix.impl.DenseDoubleMatrix1D
Sets the matrix cell at coordinate index to the specified value.
setQuick(int, int, double) - Method in class cern.colt.matrix.impl.DenseDoubleMatrix2D
Sets the matrix cell at coordinate [row,column] to the specified value.
setQuick(int, int, int, double) - Method in class cern.colt.matrix.impl.DenseDoubleMatrix3D
Sets the matrix cell at coordinate [slice,row,column] to the specified value.
setQuick(int, Object) - Method in class cern.colt.matrix.impl.DenseObjectMatrix1D
Sets the matrix cell at coordinate index to the specified value.
setQuick(int, int, Object) - Method in class cern.colt.matrix.impl.DenseObjectMatrix2D
Sets the matrix cell at coordinate [row,column] to the specified value.
setQuick(int, int, int, Object) - Method in class cern.colt.matrix.impl.DenseObjectMatrix3D
Sets the matrix cell at coordinate [slice,row,column] to the specified value.
setQuick(int, int, double) - Method in class cern.colt.matrix.impl.RCDoubleMatrix2D
Sets the matrix cell at coordinate [row,column] to the specified value.
setQuick(int, double) - Method in class cern.colt.matrix.impl.SparseDoubleMatrix1D
Sets the matrix cell at coordinate index to the specified value.
setQuick(int, int, double) - Method in class cern.colt.matrix.impl.SparseDoubleMatrix2D
Sets the matrix cell at coordinate [row,column] to the specified value.
setQuick(int, int, int, double) - Method in class cern.colt.matrix.impl.SparseDoubleMatrix3D
Sets the matrix cell at coordinate [slice,row,column] to the specified value.
setQuick(int, Object) - Method in class cern.colt.matrix.impl.SparseObjectMatrix1D
Sets the matrix cell at coordinate index to the specified value.
setQuick(int, int, Object) - Method in class cern.colt.matrix.impl.SparseObjectMatrix2D
Sets the matrix cell at coordinate [row,column] to the specified value.
setQuick(int, int, int, Object) - Method in class cern.colt.matrix.impl.SparseObjectMatrix3D
Sets the matrix cell at coordinate [slice,row,column] to the specified value.
setQuick(int, Object) - Method in class cern.colt.matrix.ObjectMatrix1D
Sets the matrix cell at coordinate index to the specified value.
setQuick(int, int, Object) - Method in class cern.colt.matrix.ObjectMatrix2D
Sets the matrix cell at coordinate [row,column] to the specified value.
setQuick(int, int, int, Object) - Method in class cern.colt.matrix.ObjectMatrix3D
Sets the matrix cell at coordinate [slice,row,column] to the specified value.
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(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
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
setRanges(double, double, double, double) - Method in class jhplot.HPlot3D
Set range fo the 3D plot
setRealFormat(NumberFormat) - Method in class org.apache.commons.math.complex.ComplexFormat
Modify the realFormat.
setRectangular() - Method in class flanagan.math.FourierTransform
 
setRelation(String) - Method in class jminhep.cluster.DataHolder
Set relation (name) of the data holder
setRelativeAccuracy(double) - Method in interface org.apache.commons.math.analysis.UnivariateRealSolver
Set the relative accuracy.
setRelativeAccuracy(double) - Method in class org.apache.commons.math.analysis.UnivariateRealSolverImpl
Set the relative accuracy.
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
 
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
 
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
 
setRotation(int) - Method in class jhplot.GHMargin
Set the rotation angle of the text in degrees.
setRotation(double) - Method in class jhplot.HLabel
Sets the rotation angle.
setRotation(boolean) - Method in class jhplot.HPlot3D
Rotate or not HPlot3D
setRotation(double) - Method in class jhplot.shapes.Text
Set the rotation angle
setRoundingMode(int) - Method in class org.apache.commons.math.linear.BigMatrixImpl
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
 
setRowSeparator(String) - Method in class cern.colt.matrix.impl.AbstractFormatter
Sets the string separating any two rows from another.
setSampleSize(int) - Method in interface org.apache.commons.math.distribution.HypergeometricDistribution
Modify the sample size.
setSampleSize(int) - Method in class org.apache.commons.math.distribution.HypergeometricDistributionImpl
Modify the sample size.
setScale(int) - Method in class flanagan.analysis.Regression
 
setScale(double[]) - Method in class flanagan.analysis.Regression
 
setScale(int) - Method in class flanagan.math.Maximisation
 
setScale(double[]) - Method in class flanagan.math.Maximisation
 
setScale(int) - Method in class flanagan.math.Minimisation
 
setScale(double[]) - Method in class flanagan.math.Minimisation
 
setScale(double) - Method in interface org.apache.commons.math.distribution.CauchyDistribution
Modify the scale parameter.
setScale(double) - Method in class org.apache.commons.math.distribution.CauchyDistributionImpl
Modify the scale parameter.
setScale(double) - Method in interface org.apache.commons.math.distribution.WeibullDistribution
Modify the scale parameter.
setScale(double) - Method in class org.apache.commons.math.distribution.WeibullDistributionImpl
Modify the scale parameter.
setScale(int) - Method in class org.apache.commons.math.linear.BigMatrixImpl
Sets the scale for division operations.
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(long) - Method in class flanagan.math.PsRandom
 
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(long) - Method in class org.apache.commons.math.random.RandomAdaptor
Sets the seed of the underyling random number generator using a long seed.
setSeed(long) - Method in interface org.apache.commons.math.random.RandomGenerator
Sets the seed of the underyling random number generator using a long seed.
setSegmentLength(int) - Method in class flanagan.math.FourierTransform
 
setSegmentNumber(int) - Method in class flanagan.math.FourierTransform
 
setShadow(boolean) - Method in class jhplot.HPlot
Defines whether or not a shadow will be drawn at the panel border.
setShape(double) - Method in interface org.apache.commons.math.distribution.WeibullDistribution
Modify the shape parameter.
setShape(double) - Method in class org.apache.commons.math.distribution.WeibullDistributionImpl
Modify the shape parameter.
setSigma(double) - Method in class org.apache.commons.math.random.ValueServer
Setter for property sigma.
setSize(int) - Method in class cern.colt.bitvector.BitVector
Shrinks or expands the receiver so that it holds newSize bits.
setSize(int) - Method in class cern.colt.list.AbstractList
Sets the size of the receiver.
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
setSliceSeparator(String) - Method in class cern.colt.matrix.impl.AbstractFormatter
Sets the string separating any two slices from another.
setStandardDeviation(double) - Method in interface org.apache.commons.math.distribution.NormalDistribution
Modify the standard deviation.
setStandardDeviation(double) - Method in class org.apache.commons.math.distribution.NormalDistributionImpl
Modify the standard deviation.
setState(double, double) - Method in class cern.jet.random.Beta
Sets the parameters.
setState(double, double, double) - Method in class cern.jet.random.BreitWigner
Sets the mean, gamma and cut parameters.
setState(double) - Method in class cern.jet.random.ChiSquare
Sets the distribution parameter.
setState(double[], int) - Method in class cern.jet.random.Empirical
Sets the distribution parameters.
setState(double[], int) - Method in class cern.jet.random.EmpiricalWalker
Sets the distribution parameters.
setState(double) - Method in class cern.jet.random.Exponential
Sets the mean.
setState(double) - Method in class cern.jet.random.ExponentialPower
Sets the distribution parameter.
setState(double, double) - Method in class cern.jet.random.Gamma
Sets the mean and variance.
setState(double, double) - Method in class cern.jet.random.Hyperbolic
Sets the parameters.
setState(int, int, int) - Method in class cern.jet.random.HyperGeometric
Sets the parameters.
setState(double) - Method in class cern.jet.random.Logarithmic
Sets the distribution parameter.
setState(double, double) - Method in class cern.jet.random.Normal
Sets the mean and variance.
setState(double) - Method in class cern.jet.random.StudentT
Sets the distribution parameter.
setState(double, double) - Method in class cern.jet.random.Uniform
Sets the internal state.
setState(double) - Method in class cern.jet.random.VonMises
Sets the distribution parameter.
setState(double, double) - Method in class cern.jet.random.Zeta
Sets the parameters.
setState2(double[]) - Method in class cern.jet.random.EmpiricalWalker
Sets the distribution parameters.
setStepSize(double) - Method in class hep.aida.ref.fitter.FitParameterSettings
 
setSticky(String, boolean) - Method in class hep.aida.ref.Annotation
Set stickyness for a given key.
setString(String, Font, Color) - Method in class jhplot.GHMargin
 
setString(String) - Method in class jhplot.GHMargin
Set the text on this panel
setStringPositionX(double) - Method in class jhplot.GHMargin
Set the text position in X relative to width
setStringPositionY(double) - Method in class jhplot.GHMargin
Set the text position in Y relative to hight
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:
setSubMatrix(int, int, double[][]) - Method in class flanagan.math.Matrix
 
setSubMatrix(int, int, int, int, double[][]) - Method in class flanagan.math.Matrix
 
setSubMatrix(int[], int[], double[][]) - Method in class flanagan.math.Matrix
 
setSubMatrix(BigDecimal[][], int, int) - Method in class org.apache.commons.math.linear.BigMatrixImpl
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
Replace the submatrix starting at row, column using data in the input subMatrix array.
setSubTicLength(int, double) - Method in class jhplot.HPlot
Sets the length of the subtics.
setSubTicLength(double) - Method in class jhplot.HPlot
Sets the length of the subtics for all axises.
setSubTicNumber(int, int) - Method in class jhplot.HPlot
Sets the number of subtics between tics.
setSurface() - Method in class jhplot.HPlot3D
Set surface type of plot
setSymbol(int) - Method in class jhplot.DrawOptions
Set symbol types
setSymbolSize(int) - Method in class jhplot.DrawOptions
Set the size of the symbols
setText(String) - Method in class jhplot.HLabel
Sets the text of the label to something new.
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
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
setTicColor(int, Color) - Method in class jhplot.HPlot
Sets the color used by the labels drawn at each tic.
setTicColor(Color) - Method in class jhplot.HPlot
Sets the color used by the labels drawn at each tic (for all axises).
setTicFont(int, Font) - Method in class jhplot.HPlot
Sets the font used by the labels drawn at each tic.
setTicFont(Font) - Method in class jhplot.HPlot
Sets the font used by the labels drawn at each tic (for all axises).
setTicFont(Font) - Method in class jhplot.HPlot3D
Set tic fonts
setTicLabels(boolean) - Method in class jhplot.HPlot
Sets whether all tic-labels will be written or not.
setTicLabels(int, boolean) - Method in class jhplot.HPlot
Sets whether ticlabels will be written or not.
setTicLength(int, double) - Method in class jhplot.HPlot
Sets the length of the tics.
setTicLength(double) - Method in class jhplot.HPlot
Sets the length of the tics for all axises.
setTicOffset(double) - Method in class jhplot.HPlot3D
Set tic offset
setTics(int, boolean) - Method in class jhplot.HPlot
Sets whether or not to draw tics (little lines on the axes).
setTicsMirror(int, boolean) - Method in class jhplot.HPlot
Sets true or false to draw mirror tics
setTicsRotate(int, boolean) - Method in class jhplot.HPlot
Defines whether we should rotate tics.
setTitle(String) - Method in class flanagan.analysis.Regression
 
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
Sets the title
setTitle(String) - Method in class jhplot.H1D
Sets the title
setTitle(String) - Method in class jhplot.P1D
Set a new title
setTolerance(double) - Method in class cern.colt.matrix.linalg.Property
Sets the tolerance to Math.abs(newTolerance).
setTolerance(double) - Method in class flanagan.analysis.Regression
 
setTolerance(double) - Method in class flanagan.math.Maximisation
 
setTolerance(double) - Method in class flanagan.math.Minimisation
 
setTransparency(double) - Method in class jhplot.shapes.HShape
Get the transperancy level
setTrueFreq(boolean) - Method in class flanagan.analysis.Regression
 
setTwoDarray(double[][]) - Method in class flanagan.math.Matrix
 
setType(int) - Method in class hep.aida.ref.function.Range
Set the IRange type.
setType(int) - Method in class jhplot.DrawOptions
Set type of the object Should be: LinePars.H1D, LineParsF1D, LineParsF1D
setType(int) - Method in class jhplot.shapes.Arrow
Set the type of arrow: 1,2,3
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
setUpperLimit(double) - Method in class flanagan.integration.Integration
 
setUseAxesRatio(boolean) - Method in class jhplot.HPlot
Sets whether or not to use a fixed ratio between X- and Y-axes lengths.
setUseFunctionGradient(boolean) - Method in class hep.aida.ref.fitter.Fitter
 
setUseLegendPos(boolean) - Method in class jhplot.HPlot
Sets whether or not to set the legend position in X,Y coordinates as defined by the graph.
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
 
setValidForAll() - Method in class hep.aida.ref.event.AIDAObservable
 
setValue(double) - Method in class flanagan.analysis.ErrorProp
 
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
 
setValueAt(Object, int, int) - Method in class jhplot.SPsheet
This method sets the value of the cell specified with these coordinates to aValue.
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
 
setWeight(int) - Method in class cern.jet.random.sampling.WeightedRandomSampler
Not yet commented.
setWelch() - Method in class flanagan.math.FourierTransform
 
setWhoAm(int) - Method in class jhplot.shapes.HShape
Set primitive type
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 values returned by Univariate.
setWindowSize(int) - Method in class org.apache.commons.math.stat.descriptive.DescriptiveStatisticsImpl
 
setXlegend(String) - Method in class flanagan.analysis.Regression
 
setYlegend(String) - Method in class flanagan.analysis.Regression
 
setYscale(boolean) - Method in class flanagan.analysis.Regression
 
setYscaleFactor(double) - Method in class flanagan.analysis.Regression
 
setYscaleOption(boolean) - Method in class flanagan.analysis.Regression
 
shape(AbstractMatrix1D) - Static method in class cern.colt.matrix.impl.AbstractFormatter
Returns a short string representation describing the shape of the matrix.
shape(AbstractMatrix2D) - Static method in class cern.colt.matrix.impl.AbstractFormatter
Returns a short string representation describing the shape of the matrix.
shape(AbstractMatrix3D) - Static method in class cern.colt.matrix.impl.AbstractFormatter
Returns a short string representation describing the shape of the matrix.
shiftLeft - Static variable in class cern.jet.math.IntFunctions
Function that returns a << b.
shiftLeft(int) - Static method in class cern.jet.math.IntFunctions
Constructs a function that returns a << b.
shiftRightSigned - Static variable in class cern.jet.math.IntFunctions
Function that returns a >> b.
shiftRightSigned(int) - Static method in class cern.jet.math.IntFunctions
Constructs a function that returns a >> b.
shiftRightUnsigned - Static variable in class cern.jet.math.IntFunctions
Function that returns a >>> b.
shiftRightUnsigned(int) - Static method in class cern.jet.math.IntFunctions
Constructs a function that returns a >>> b.
ShortArrayList - Class in cern.colt.list
Resizable list holding short elements; implemented with arrays.
ShortArrayList() - Constructor for class cern.colt.list.ShortArrayList
Constructs an empty list.
ShortArrayList(short[]) - Constructor for class cern.colt.list.ShortArrayList
Constructs a list containing the specified elements.
ShortArrayList(int) - Constructor for class cern.colt.list.ShortArrayList
Constructs an empty list with the specified initial capacity.
ShortComparator - Interface in cern.colt.function
A comparison function which imposes a total ordering on some collection of elements.
ShortProcedure - Interface in cern.colt.function
Interface that represents a procedure object: a procedure that takes a single argument and does not return a value.
shortTime(double) - Method in class flanagan.math.FourierTransform
 
shortTime(int) - Method in class flanagan.math.FourierTransform
 
shortTOdouble(short[]) - Static method in class flanagan.math.Fmath
 
shortTOfloat(short[]) - Static method in class flanagan.math.Fmath
 
shortTOint(short[]) - Static method in class flanagan.math.Fmath
 
shortTOlong(short[]) - Static method in class flanagan.math.Fmath
 
showAbout() - Method in class jhplot.GHFrame
Show about dialog
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
showBorder(boolean) - Method in class jhplot.GHMargin
Show or not the blue borders during edditing
showBorderNoUpdate(boolean) - Method in class jhplot.GHMargin
Show or not the blue borders during edditing.
showBorders(boolean) - Method in class jhplot.GHPanel
Show borders of margins for edditing
showGraph(boolean) - Method in class jhplot.HPlot
Set the current graph visible or not
showMessage(String) - Static method in class jhplot.JHPlot
Show a text on status bar permanetly
showMouse(String, double, double, double, double) - Static method in class jhplot.JHPlot
Show mouse positions
showStatusBarText(String) - Static method in class jhplot.JHPlot
Show a text on status bar for 5 sec
shuffle() - Method in class cern.colt.list.AbstractList
Randomly permutes the receiver.
shuffleFromTo(int, int) - Method in class cern.colt.list.AbstractBooleanList
Randomly permutes the part of the receiver between from (inclusive) and to (inclusive).
shuffleFromTo(int, int) - Method in class cern.colt.list.AbstractByteList
Randomly permutes the part of the receiver between from (inclusive) and to (inclusive).
shuffleFromTo(int, int) - Method in class cern.colt.list.AbstractCharList
Randomly permutes the part of the receiver between from (inclusive) and to (inclusive).
shuffleFromTo(int, int) - Method in class cern.colt.list.AbstractDoubleList
Randomly permutes the part of the receiver between from (inclusive) and to (inclusive).
shuffleFromTo(int, int) - Method in class cern.colt.list.AbstractFloatList
Randomly permutes the part of the receiver between from (inclusive) and to (inclusive).
shuffleFromTo(int, int) - Method in class cern.colt.list.AbstractIntList
Randomly permutes the part of the receiver between from (inclusive) and to (inclusive).
shuffleFromTo(int, int) - Method in class cern.colt.list.AbstractList
Randomly permutes the receiver between from (inclusive) and to (inclusive).
shuffleFromTo(int, int) - Method in class cern.colt.list.AbstractLongList
Randomly permutes the part of the receiver between from (inclusive) and to (inclusive).
shuffleFromTo(int, int) - Method in class cern.colt.list.AbstractShortList
Randomly permutes the part of the receiver between from (inclusive) and to (inclusive).
shuffleFromTo(int, int) - Method in class cern.colt.list.BooleanArrayList
Randomly permutes the part of the receiver between from (inclusive) and to (inclusive).
shuffleFromTo(int, int) - Method in class cern.colt.list.ByteArrayList
Randomly permutes the part of the receiver between from (inclusive) and to (inclusive).
shuffleFromTo(int, int) - Method in class cern.colt.list.CharArrayList
Randomly permutes the part of the receiver between from (inclusive) and to (inclusive).
shuffleFromTo(int, int) - Method in class cern.colt.list.DoubleArrayList
Randomly permutes the part of the receiver between from (inclusive) and to (inclusive).
shuffleFromTo(int, int) - Method in class cern.colt.list.FloatArrayList
Randomly permutes the part of the receiver between from (inclusive) and to (inclusive).
shuffleFromTo(int, int) - Method in class cern.colt.list.IntArrayList
Randomly permutes the part of the receiver between from (inclusive) and to (inclusive).
shuffleFromTo(int, int) - Method in class cern.colt.list.LongArrayList
Randomly permutes the part of the receiver between from (inclusive) and to (inclusive).
shuffleFromTo(int, int) - Method in class cern.colt.list.ObjectArrayList
Randomly permutes the part of the receiver between from (inclusive) and to (inclusive).
shuffleFromTo(int, int) - Method in class cern.colt.list.ShortArrayList
Randomly permutes the part of the receiver between from (inclusive) and to (inclusive).
sigmoidHillSips() - Method in class flanagan.analysis.Regression
 
sigmoidHillSipsPlot() - Method in class flanagan.analysis.Regression
 
sigmoidThreshold() - Method in class flanagan.analysis.Regression
 
sigmoidThresholdPlot() - Method in class flanagan.analysis.Regression
 
sign - Static variable in class cern.jet.math.Functions
Function that returns a < 0 ? -1 : a > 0 ? 1 : 0.
sign - Static variable in class cern.jet.math.IntFunctions
Function that returns a < 0 ? -1 : a > 0 ? 1 : 0.
sign(double) - Static method in class flanagan.math.Fmath
 
sign(float) - Static method in class flanagan.math.Fmath
 
sign(int) - Static method in class flanagan.math.Fmath
 
sign(long) - Static method in class flanagan.math.Fmath
 
sign(double, double) - Static method in class hep.aida.ref.function.GaussianCore2DNorm
 
sign(double, double) - Static method in class hep.aida.ref.function.GaussianCoreNorm
 
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.
SimpleLongArrayList - Class in cern.colt.list
Resizable list holding long elements; implemented with arrays; not efficient; just to demonstrate which methods you must override to implement a fully functional list.
SimpleLongArrayList() - Constructor for class cern.colt.list.SimpleLongArrayList
Constructs an empty list.
SimpleLongArrayList(long[]) - Constructor for class cern.colt.list.SimpleLongArrayList
Constructs a list containing the specified elements.
SimpleLongArrayList(int) - Constructor for class cern.colt.list.SimpleLongArrayList
Constructs an empty list with the specified initial capacity.
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
simplex(RegressionFunction, double[], double[], double, int) - Method in class flanagan.analysis.Regression
 
simplex(RegressionFunction, double[], double[], double) - Method in class flanagan.analysis.Regression
 
simplex(RegressionFunction, double[], double[], int) - Method in class flanagan.analysis.Regression
 
simplex(RegressionFunction, double[], double[]) - Method in class flanagan.analysis.Regression
 
simplex(RegressionFunction, double[], double, int) - Method in class flanagan.analysis.Regression
 
simplex(RegressionFunction, double[], double) - Method in class flanagan.analysis.Regression
 
simplex(RegressionFunction, double[], int) - Method in class flanagan.analysis.Regression
 
simplex(RegressionFunction, double[]) - Method in class flanagan.analysis.Regression
 
simplex2(RegressionFunction2, double[], double[], double, int) - Method in class flanagan.analysis.Regression
 
simplex2(RegressionFunction2, double[], double[], double) - Method in class flanagan.analysis.Regression
 
simplex2(RegressionFunction2, double[], double[], int) - Method in class flanagan.analysis.Regression
 
simplex2(RegressionFunction2, double[], double[]) - Method in class flanagan.analysis.Regression
 
simplex2(RegressionFunction2, double[], double, int) - Method in class flanagan.analysis.Regression
 
simplex2(RegressionFunction2, double[], double) - Method in class flanagan.analysis.Regression
 
simplex2(RegressionFunction2, double[], int) - Method in class flanagan.analysis.Regression
 
simplex2(RegressionFunction2, double[]) - Method in class flanagan.analysis.Regression
 
simplexPlot(RegressionFunction, double[], double[], double, int) - Method in class flanagan.analysis.Regression
 
simplexPlot(RegressionFunction, double[], double[], double) - Method in class flanagan.analysis.Regression
 
simplexPlot(RegressionFunction, double[], double[], int) - Method in class flanagan.analysis.Regression
 
simplexPlot(RegressionFunction, double[], double[]) - Method in class flanagan.analysis.Regression
 
simplexPlot(RegressionFunction, double[], double, int) - Method in class flanagan.analysis.Regression
 
simplexPlot(RegressionFunction, double[], double) - Method in class flanagan.analysis.Regression
 
simplexPlot(RegressionFunction, double[], int) - Method in class flanagan.analysis.Regression
 
simplexPlot(RegressionFunction, double[]) - Method in class flanagan.analysis.Regression
 
simplexPlot2(RegressionFunction2, double[], double[], double, int) - Method in class flanagan.analysis.Regression
 
simplexPlot2(RegressionFunction2, double[], double[], double) - Method in class flanagan.analysis.Regression
 
simplexPlot2(RegressionFunction2, double[], double[], int) - Method in class flanagan.analysis.Regression
 
simplexPlot2(RegressionFunction2, double[], double[]) - Method in class flanagan.analysis.Regression
 
simplexPlot2(RegressionFunction2, double[], double, int) - Method in class flanagan.analysis.Regression
 
simplexPlot2(RegressionFunction2, double[], double) - Method in class flanagan.analysis.Regression
 
simplexPlot2(RegressionFunction2, double[], int) - Method in class flanagan.analysis.Regression
 
simplexPlot2(RegressionFunction2, double[]) - Method in class flanagan.analysis.Regression
 
sin - Static variable in class cern.jet.math.Functions
Function that returns Math.sin(a).
sin(ErrorProp) - Static method in class flanagan.analysis.ErrorProp
 
sin(double, double, double, double, double, double) - Static method in class flanagan.math.Fmath
 
sin(double, double, double) - Static method in class flanagan.math.Fmath
 
sin(double) - Static method in class flanagan.math.Fmath
 
sin(Complex) - Static method in class org.apache.commons.math.complex.ComplexUtils
Compute the sine for the given complex argument.
sinc(double) - Static method in class flanagan.math.Fmath
 
SingularValueDecomposition - Class in cern.colt.matrix.linalg
For an m x n matrix A with m >= n, the singular value decomposition is an m x n orthogonal matrix U, an n x n diagonal matrix S, and an n x n orthogonal matrix V so that A = U*S*V'.
SingularValueDecomposition(DoubleMatrix2D) - Constructor for class cern.colt.matrix.linalg.SingularValueDecomposition
Constructs and returns a new singular value decomposition object; The decomposed matrices can be retrieved via instance methods of the returned decomposition object.
sinh(ErrorProp) - Static method in class flanagan.analysis.ErrorProp
 
sinh(double) - Static method in class flanagan.math.Fmath
 
sinh(Complex) - Static method in class org.apache.commons.math.complex.ComplexUtils
Compute the hyperbolic sine for the given complex argument.
sinh(double) - Static method in class org.apache.commons.math.util.MathUtils
Returns the hyperbolic sine of x.
size() - Method in class cern.colt.bitvector.BitMatrix
Returns the size of the receiver which is columns()*rows().
size() - Method in class cern.colt.bitvector.BitVector
Returns the size of the receiver.
size() - Method in class cern.colt.list.AbstractBooleanList
Returns the number of elements contained in the receiver.
size() - Method in class cern.colt.list.AbstractByteList
Returns the number of elements contained in the receiver.
size() - Method in class cern.colt.list.AbstractCharList
Returns the number of elements contained in the receiver.
size() - Method in class cern.colt.list.AbstractCollection
Returns the number of elements contained in the receiver.
size() - Method in class cern.colt.list.AbstractDoubleList
Returns the number of elements contained in the receiver.
size() - Method in class cern.colt.list.AbstractFloatList
Returns the number of elements contained in the receiver.
size() - Method in class cern.colt.list.AbstractIntList
Returns the number of elements contained in the receiver.
size() - Method in class cern.colt.list.AbstractLongList
Returns the number of elements contained in the receiver.
size() - Method in class cern.colt.list.AbstractShortList
Returns the number of elements contained in the receiver.
size() - Method in class cern.colt.list.adapter.DoubleListAdapter
Returns the number of elements in this list.
size() - Method in class cern.colt.list.adapter.FloatListAdapter
Returns the number of elements in this list.
size() - Method in class cern.colt.list.adapter.IntListAdapter
Returns the number of elements in this list.
size() - Method in class cern.colt.list.adapter.LongListAdapter
Returns the number of elements in this list.
size() - Method in class cern.colt.list.adapter.ObjectListAdapter
Returns the number of elements in this list.
size() - Method in class cern.colt.list.ObjectArrayList
Returns the number of elements contained in the receiver.
size() - Method in class cern.colt.map.AbstractMap
Returns the number of (key,value) associations currently contained.
size() - Method in class cern.colt.matrix.impl.AbstractMatrix
Returns the number of cells.
size() - Method in class cern.colt.matrix.impl.AbstractMatrix1D
Returns the number of cells.
size() - Method in class cern.colt.matrix.impl.AbstractMatrix2D
Returns the number of cells which is rows()*columns().
size() - Method in class cern.colt.matrix.impl.AbstractMatrix3D
Returns the number of cells which is slices()*rows()*columns().
size() - Method in class cern.hep.aida.bin.AbstractBin
Returns the number of elements contained.
size - Static variable in class cern.hep.aida.bin.BinFunctions1D
Function that returns bin.size().
size() - Method in class cern.hep.aida.bin.DynamicBin1D
Returns the number of elements contained in the receiver.
size() - Method in class cern.hep.aida.bin.StaticBin1D
Returns the number of elements contained in the receiver.
size() - Method in interface cern.jet.stat.quantile.DoubleQuantileFinder
Returns the number of elements currently contained in the receiver (identical to the number of values added so far).
size() - Method in class cern.jet.stat.quantile.EquiDepthHistogram
Deprecated. Deprecated. Returns the number of bin boundaries.
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.P1D
Return the length of the data vector.
size() - Method in class jhplot.VHolder
Return the size of the data, i.e.
sizeOfRange(double, double) - Method in class cern.hep.aida.bin.QuantileBin1D
Returns how many elements are contained in the range [minElement,maxElement].
skew() - Method in class cern.hep.aida.bin.MightyStaticBin1D
Returns the skew, which is moment(3,mean()) / standardDeviation()3.
skew(double, double) - Static method in class cern.jet.stat.Descriptive
Returns the skew of a data sequence.
skew(DoubleArrayList, double, double) - Static method in class cern.jet.stat.Descriptive
Returns the skew of a data sequence, which is moment(data,3,mean) / standardDeviation3.
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
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
 
slices() - Method in class cern.colt.matrix.impl.AbstractMatrix3D
Returns the number of slices.
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).
SmpBlas - Class in cern.colt.matrix.linalg
Parallel implementation of the Basic Linear Algebra System for symmetric multi processing boxes.
smpBlas - Static variable in class cern.colt.matrix.linalg.SmpBlas
The public global parallel blas; initialized via SmpBlas.allocateBlas(int, cern.colt.matrix.linalg.Blas).
solve(DoubleMatrix2D, DoubleMatrix2D) - Method in class cern.colt.matrix.linalg.Algebra
Solves A*X = B.
solve(DoubleMatrix2D) - Method in class cern.colt.matrix.linalg.CholeskyDecomposition
Solves A*X = B; returns X.
solve(DoubleMatrix2D) - Method in class cern.colt.matrix.linalg.LUDecomposition
Solves A*X = B.
solve(DoubleMatrix1D) - Method in class cern.colt.matrix.linalg.LUDecompositionQuick
Solves the system of equations A*X = B (in-place).
solve(DoubleMatrix2D) - Method in class cern.colt.matrix.linalg.LUDecompositionQuick
Solves the system of equations A*X = B (in-place).
solve(DoubleMatrix2D) - Method in class cern.colt.matrix.linalg.QRDecomposition
Least squares solution of A*X = B; returns X.
solve(double, double, double) - Method in class org.apache.commons.math.analysis.BisectionSolver
Find a zero in the given interval.
solve(double, double) - Method in class org.apache.commons.math.analysis.BisectionSolver
Find a zero root in the given interval.
solve(double, double, double) - Method in class org.apache.commons.math.analysis.BrentSolver
Find a zero in the given interval.
solve(double, double) - Method in class org.apache.commons.math.analysis.BrentSolver
Find a zero in the given interval.
solve(double, double) - Method in class org.apache.commons.math.analysis.NewtonSolver
Find a zero near the midpoint of min and max.
solve(double, double, double) - Method in class org.apache.commons.math.analysis.NewtonSolver
Find a zero near the value startValue.
solve(double, double, double) - Method in class org.apache.commons.math.analysis.SecantSolver
Find a zero in the given interval.
solve(double, double) - Method in class org.apache.commons.math.analysis.SecantSolver
Find a zero in the given interval.
solve(double, double) - Method in interface org.apache.commons.math.analysis.UnivariateRealSolver
Solve for a zero root in the given interval.
solve(double, double, double) - Method in interface org.apache.commons.math.analysis.UnivariateRealSolver
Solve for a zero in the given interval, start at startValue.
solve(UnivariateRealFunction, double, double) - Static method in class org.apache.commons.math.analysis.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.UnivariateRealSolverUtils
Convenience method to find a zero of a univariate real function.
solve(BigDecimal[]) - Method in interface org.apache.commons.math.linear.BigMatrix
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
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
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
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
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.RealMatrix
Returns the solution vector for a linear system with coefficient matrix = this and constant vector = b.
solve(RealMatrix) - Method in interface org.apache.commons.math.linear.RealMatrix
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.RealMatrixImpl
Returns a matrix of (column) solution vectors for linear systems with coefficient matrix = this and constant vectors = columns of b.
solve(RealMatrix) - Method in class org.apache.commons.math.linear.RealMatrixImpl
Returns a matrix of (column) solution vectors for linear systems with coefficient matrix = this and constant vectors = columns of b.
solveLinearSet(double[]) - Method in class flanagan.math.Matrix
 
solveTranspose(DoubleMatrix2D, DoubleMatrix2D) - Method in class cern.colt.matrix.linalg.Algebra
Solves X*A = B, which is also A'*X' = B'.
sort() - Method in class cern.colt.list.AbstractList
Sorts the receiver into ascending order.
sort(DoubleMatrix1D) - Method in class cern.colt.matrix.doublealgo.Sorting
Sorts the vector into ascending order, according to the natural ordering.
sort(DoubleMatrix1D, DoubleComparator) - Method in class cern.colt.matrix.doublealgo.Sorting
Sorts the vector into ascending order, according to the order induced by the specified comparator.
sort(DoubleMatrix2D, double[]) - Method in class cern.colt.matrix.doublealgo.Sorting
Sorts the matrix rows into ascending order, according to the natural ordering of the matrix values in the virtual column aggregates; Particularly efficient when comparing expensive aggregates, because aggregates need not be recomputed time and again, as is the case for comparator based sorts.
sort(DoubleMatrix2D, int) - Method in class cern.colt.matrix.doublealgo.Sorting
Sorts the matrix rows into ascending order, according to the natural ordering of the matrix values in the given column.
sort(DoubleMatrix2D, DoubleMatrix1DComparator) - Method in class cern.colt.matrix.doublealgo.Sorting
Sorts the matrix rows according to the order induced by the specified comparator.
sort(DoubleMatrix2D, BinFunction1D) - Method in class cern.colt.matrix.doublealgo.Sorting
Sorts the matrix rows into ascending order, according to the natural ordering of the values computed by applying the given aggregation function to each row; Particularly efficient when comparing expensive aggregates, because aggregates need not be recomputed time and again, as is the case for comparator based sorts.
sort(DoubleMatrix3D, int, int) - Method in class cern.colt.matrix.doublealgo.Sorting
Sorts the matrix slices into ascending order, according to the natural ordering of the matrix values in the given [row,column] position.
sort(DoubleMatrix3D, DoubleMatrix2DComparator) - Method in class cern.colt.matrix.doublealgo.Sorting
Sorts the matrix slices according to the order induced by the specified comparator.
sort(ObjectMatrix1D) - Method in class cern.colt.matrix.objectalgo.Sorting
Sorts the vector into ascending order, according to the natural ordering.
sort(ObjectMatrix1D, Comparator) - Method in class cern.colt.matrix.objectalgo.Sorting
Sorts the vector into ascending order, according to the order induced by the specified comparator.
sort(ObjectMatrix2D, int) - Method in class cern.colt.matrix.objectalgo.Sorting
Sorts the matrix rows into ascending order, according to the natural ordering of the matrix values in the given column.
sort(ObjectMatrix2D, ObjectMatrix1DComparator) - Method in class cern.colt.matrix.objectalgo.Sorting
Sorts the matrix rows according to the order induced by the specified comparator.
sort(ObjectMatrix3D, int, int) - Method in class cern.colt.matrix.objectalgo.Sorting
Sorts the matrix slices into ascending order, according to the natural ordering of the matrix values in the given [row,column] position.
sort(ObjectMatrix3D, ObjectMatrix2DComparator) - Method in class cern.colt.matrix.objectalgo.Sorting
Sorts the matrix slices according to the order induced by the specified comparator.
sortedElements() - Method in class cern.hep.aida.bin.DynamicBin1D
Returns a copy of the currently stored elements, sorted ascending.
sortFromTo(int, int) - Method in class cern.colt.list.AbstractList
Sorts the specified range of the receiver into ascending order.
sortFromTo(int, int) - Method in class cern.colt.list.BooleanArrayList
Sorts the specified range of the receiver into ascending order.
sortFromTo(int, int) - Method in class cern.colt.list.ByteArrayList
Sorts the specified range of the receiver into ascending order.
sortFromTo(int, int) - Method in class cern.colt.list.CharArrayList
Sorts the specified range of the receiver into ascending order.
sortFromTo(int, int) - Method in class cern.colt.list.IntArrayList
Sorts the specified range of the receiver into ascending order.
sortFromTo(int, int) - Method in class cern.colt.list.LongArrayList
Sorts the specified range of the receiver into ascending order.
sortFromTo(int, int) - Method in class cern.colt.list.ShortArrayList
Sorts the specified range of the receiver into ascending order.
Sorting - Class in cern.colt.matrix.doublealgo
Matrix quicksorts and mergesorts.
Sorting - Class in cern.colt.matrix.objectalgo
Matrix quicksorts and mergesorts.
Sorting - Class in cern.colt
Quicksorts, mergesorts and binary searches; complements java.util.Arrays.
sparse - Static variable in class cern.colt.matrix.DoubleFactory1D
A factory producing sparse matrices.
sparse - Static variable in class cern.colt.matrix.DoubleFactory2D
A factory producing sparse hash matrices.
sparse - Static variable in class cern.colt.matrix.DoubleFactory3D
A factory producing sparse matrices.
sparse - Static variable in class cern.colt.matrix.ObjectFactory1D
A factory producing sparse matrices.
sparse - Static variable in class cern.colt.matrix.ObjectFactory2D
A factory producing sparse matrices.
sparse - Static variable in class cern.colt.matrix.ObjectFactory3D
A factory producing sparse matrices.
SparseDoubleMatrix1D - Class in cern.colt.matrix.impl
Sparse hashed 1-d matrix (aka vector) holding double elements.
SparseDoubleMatrix1D(double[]) - Constructor for class cern.colt.matrix.impl.SparseDoubleMatrix1D
Constructs a matrix with a copy of the given values.
SparseDoubleMatrix1D(int) - Constructor for class cern.colt.matrix.impl.SparseDoubleMatrix1D
Constructs a matrix with a given number of cells.
SparseDoubleMatrix1D(int, int, double, double) - Constructor for class cern.colt.matrix.impl.SparseDoubleMatrix1D
Constructs a matrix with a given number of parameters.
SparseDoubleMatrix2D - Class in cern.colt.matrix.impl
Sparse hashed 2-d matrix holding double elements.
SparseDoubleMatrix2D(double[][]) - Constructor for class cern.colt.matrix.impl.SparseDoubleMatrix2D
Constructs a matrix with a copy of the given values.
SparseDoubleMatrix2D(int, int) - Constructor for class cern.colt.matrix.impl.SparseDoubleMatrix2D
Constructs a matrix with a given number of rows and columns and default memory usage.
SparseDoubleMatrix2D(int, int, int, double, double) - Constructor for class cern.colt.matrix.impl.SparseDoubleMatrix2D
Constructs a matrix with a given number of rows and columns using memory as specified.
SparseDoubleMatrix3D - Class in cern.colt.matrix.impl
Sparse hashed 3-d matrix holding double elements.
SparseDoubleMatrix3D(double[][][]) - Constructor for class cern.colt.matrix.impl.SparseDoubleMatrix3D
Constructs a matrix with a copy of the given values.
SparseDoubleMatrix3D(int, int, int) - Constructor for class cern.colt.matrix.impl.SparseDoubleMatrix3D
Constructs a matrix with a given number of slices, rows and columns and default memory usage.
SparseDoubleMatrix3D(int, int, int, int, double, double) - Constructor for class cern.colt.matrix.impl.SparseDoubleMatrix3D
Constructs a matrix with a given number of slices, rows and columns using memory as specified.
SparseObjectMatrix1D - Class in cern.colt.matrix.impl
Sparse hashed 1-d matrix (aka vector) holding Object elements.
SparseObjectMatrix1D(Object[]) - Constructor for class cern.colt.matrix.impl.SparseObjectMatrix1D
Constructs a matrix with a copy of the given values.
SparseObjectMatrix1D(int) - Constructor for class cern.colt.matrix.impl.SparseObjectMatrix1D
Constructs a matrix with a given number of cells.
SparseObjectMatrix1D(int, int, double, double) - Constructor for class cern.colt.matrix.impl.SparseObjectMatrix1D
Constructs a matrix with a given number of parameters.
SparseObjectMatrix2D - Class in cern.colt.matrix.impl
Sparse hashed 2-d matrix holding Object elements.
SparseObjectMatrix2D(Object[][]) - Constructor for class cern.colt.matrix.impl.SparseObjectMatrix2D
Constructs a matrix with a copy of the given values.
SparseObjectMatrix2D(int, int) - Constructor for class cern.colt.matrix.impl.SparseObjectMatrix2D
Constructs a matrix with a given number of rows and columns and default memory usage.
SparseObjectMatrix2D(int, int, int, double, double) - Constructor for class cern.colt.matrix.impl.SparseObjectMatrix2D
Constructs a matrix with a given number of rows and columns using memory as specified.
SparseObjectMatrix3D - Class in cern.colt.matrix.impl
Sparse hashed 3-d matrix holding Object elements.
SparseObjectMatrix3D(Object[][][]) - Constructor for class cern.colt.matrix.impl.SparseObjectMatrix3D
Constructs a matrix with a copy of the given values.
SparseObjectMatrix3D(int, int, int) - Constructor for class cern.colt.matrix.impl.SparseObjectMatrix3D
Constructs a matrix with a given number of slices, rows and columns and default memory usage.
SparseObjectMatrix3D(int, int, int, int, double, double) - Constructor for class cern.colt.matrix.impl.SparseObjectMatrix3D
Constructs a matrix with a given number of slices, rows and columns using memory as specified.
SplineInterpolator - Class in org.apache.commons.math.analysis
Computes a natural (also known as "free", "unclamped") cubic spline interpolation for the data set.
SplineInterpolator() - Constructor for class org.apache.commons.math.analysis.SplineInterpolator
 
split(DoubleArrayList, DoubleArrayList) - Static method in class cern.jet.stat.Descriptive
Splits (partitions) a list into sublists such that each sublist contains the elements with a given range.
splitApproximately(DoubleArrayList, int) - Method in class cern.hep.aida.bin.QuantileBin1D
Divides (rebins) a copy of the receiver at the given percentage boundaries into bins and returns these bins, such that each bin approximately reflects the data elements of its range.
splitApproximately(IAxis, int) - Method in class cern.hep.aida.bin.QuantileBin1D
Divides (rebins) a copy of the receiver at the given interval boundaries into bins and returns these bins, such that each bin approximately reflects the data elements of its range.
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(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
sqrt - Static variable in class cern.jet.math.Functions
Function that returns Math.sqrt(a).
sqrt(ErrorProp) - Static method in class flanagan.analysis.ErrorProp
 
sqrt(Complex) - Static method in class org.apache.commons.math.complex.ComplexUtils
Compute the square root for the given complex argument.
sqrt1z(Complex) - Static method in class org.apache.commons.math.complex.ComplexUtils
Compute the square root of 1 - z2 for the given complex argument.
square - Static variable in class cern.jet.math.Functions
Function that returns a * a.
square - Static variable in class cern.jet.math.IntFunctions
Function that returns a * a.
square() - Method in class flanagan.analysis.ErrorProp
 
square(ErrorProp) - Static method in class flanagan.analysis.ErrorProp
 
square(double) - Static method in class flanagan.math.Fmath
 
square(float) - Static method in class flanagan.math.Fmath
 
square(int) - Static method in class flanagan.math.Fmath
 
sr - Static variable in class cern.clhep.Units
 
standardDeviation() - Method in class cern.hep.aida.bin.AbstractBin1D
Returns the sample standard deviation, which is Math.sqrt(variance()).
standardDeviation(double) - Static method in class cern.jet.stat.Descriptive
Returns the standard deviation from a variance.
standardDeviation(double[]) - Static method in class flanagan.analysis.Stat
 
standardDeviation(float[]) - Static method in class flanagan.analysis.Stat
 
standardDeviation(int[]) - Static method in class flanagan.analysis.Stat
 
standardDeviation(long[]) - Static method in class flanagan.analysis.Stat
 
standardDeviation(double[], double[]) - Static method in class flanagan.analysis.Stat
 
standardDeviation(float[], float[]) - Static method in class flanagan.analysis.Stat
 
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(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 cern.hep.aida.bin.AbstractBin1D
Returns the sample standard error, which is Math.sqrt(variance() / size())
standardError(int, double) - Static method in class cern.jet.stat.Descriptive
Returns the standard error of a data sequence.
standardize(double, double) - Method in class cern.hep.aida.bin.DynamicBin1D
Modifies the receiver to be standardized.
standardize(DoubleArrayList, double, double) - Static method in class cern.jet.stat.Descriptive
Modifies a data sequence to be standardized.
start() - Method in class cern.colt.Timer
Starts the timer.
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 org.apache.commons.math.util.ResizableDoubleArray
Returns the starting index of the internal array.
startOfBin(int) - Method in class cern.jet.stat.quantile.EquiDepthHistogram
Returns the start of the range associated with the given bin.
Stat - Class in flanagan.analysis
 
Stat() - Constructor for class flanagan.analysis.Stat
 
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
 
StaticBin1D - Class in cern.hep.aida.bin
1-dimensional non-rebinnable bin consuming double elements; Efficiently computes basic statistics of data sequences.
StaticBin1D() - Constructor for class cern.hep.aida.bin.StaticBin1D
Constructs and returns an empty bin.
staticNextBoolean() - Static method in class cern.jet.random.Uniform
Returns a uniformly distributed random boolean.
staticNextDouble(double, double) - Static method in class cern.jet.random.Beta
Returns a random number from the distribution.
staticNextDouble(double, double, double) - Static method in class cern.jet.random.BreitWigner
Returns a random number from the distribution.
staticNextDouble(double, double, double) - Static method in class cern.jet.random.BreitWignerMeanSquare
Returns a random number from the distribution.
staticNextDouble(double) - Static method in class cern.jet.random.ChiSquare
Returns a random number from the distribution.
staticNextDouble(double) - Static method in class cern.jet.random.Exponential
Returns a random number from the distribution with the given lambda.
staticNextDouble(double) - Static method in class cern.jet.random.ExponentialPower
Returns a random number from the distribution.
staticNextDouble(double, double) - Static method in class cern.jet.random.Gamma
Returns a random number from the distribution.
staticNextDouble(double, double) - Static method in class cern.jet.random.Hyperbolic
Returns a random number from the distribution.
staticNextDouble(double) - Static method in class cern.jet.random.Logarithmic
Returns a random number from the distribution.
staticNextDouble(double, double) - Static method in class cern.jet.random.Normal
Returns a random number from the distribution with the given mean and standard deviation.
staticNextDouble(double) - Static method in class cern.jet.random.StudentT
Returns a random number from the distribution.
staticNextDouble() - Static method in class cern.jet.random.Uniform
Returns a uniformly distributed random number in the open interval (0,1) (excluding 0 and 1).
staticNextDouble(double) - Static method in class cern.jet.random.VonMises
Returns a random number from the distribution.
staticNextDoubleFromTo(double, double) - Static method in class cern.jet.random.Uniform
Returns a uniformly distributed random number in the open interval (from,to) (excluding from and to).
staticNextFloatFromTo(float, float) - Static method in class cern.jet.random.Uniform
Returns a uniformly distributed random number in the open interval (from,to) (excluding from and to).
staticNextInt(int, double) - Static method in class cern.jet.random.Binomial
Returns a random number from the distribution with the given parameters n and p.
staticNextInt(int, int, int) - Static method in class cern.jet.random.HyperGeometric
Returns a random number from the distribution.
staticNextInt(int, double) - Static method in class cern.jet.random.NegativeBinomial
Returns a random number from the distribution with the given parameters n and p.
staticNextInt(double) - Static method in class cern.jet.random.Poisson
Returns a random number from the distribution with the given mean.
staticNextInt(double) - Static method in class cern.jet.random.PoissonSlow
Returns a random number from the distribution with the given mean.
staticNextInt(double, double) - Static method in class cern.jet.random.Zeta
Returns a random number from the distribution.
staticNextIntFromTo(int, int) - Static method in class cern.jet.random.Uniform
Returns a uniformly distributed random number in the closed interval [from,to] (including from and to).
staticNextLongFromTo(long, long) - Static method in class cern.jet.random.Uniform
Returns a uniformly distributed random number in the closed interval [from,to] (including from and to).
staticSetRandomEngine(RandomEngine) - Static method in class cern.jet.random.Uniform
Sets the uniform random number generation engine shared by all static methods.
Statistic - Class in cern.colt.matrix.doublealgo
Basic statistics operations on matrices.
Statistic.VectorVectorFunction - Interface in cern.colt.matrix.doublealgo
Interface that represents a function object: a function that takes two argument vectors and returns a single value.
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
stats() - Method in class cern.colt.matrix.linalg.SmpBlas
Prints various snapshot statistics to System.out; Simply delegates to FJTaskRunnerGroup.stats().
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.
stdDev - Static variable in class cern.hep.aida.bin.BinFunctions1D
Function that returns bin.standardDeviation().
Stencil - Class in cern.colt.matrix.doublealgo
Stencil operations.
stencil27(DoubleMatrix3D, Double27Function, int, DoubleMatrix3DProcedure, int) - Static method in class cern.colt.matrix.doublealgo.Stencil
27 point stencil operation.
stencil9(DoubleMatrix2D, Double9Function, int, DoubleMatrix2DProcedure, int) - Static method in class cern.colt.matrix.doublealgo.Stencil
9 point stencil operation.
stepFunction() - Method in class flanagan.analysis.Regression
 
stepFunctionPlot() - Method in class flanagan.analysis.Regression
 
stepSize() - Method in class hep.aida.ref.fitter.FitParameterSettings
 
steradian - Static variable in class cern.clhep.Units
 
stirlingCorrection(int) - Static method in class cern.jet.math.Arithmetic
Returns the StirlingCorrection.
stop() - Method in class cern.colt.Timer
Stops the timer.
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.
storeType() - Method in class hep.aida.ref.tree.Tree
 
STP_Pressure - Static variable in class cern.clhep.PhysicalConstants
 
STP_Temperature - Static variable in class cern.clhep.PhysicalConstants
 
stringToArray(String) - Static method in class hep.aida.ref.AidaUtils
 
StudentT - Class in cern.jet.random
StudentT distribution (aka T-distribution); See the math definition and animated definition.
StudentT(double, RandomEngine) - Constructor for class cern.jet.random.StudentT
Constructs a StudentT distribution.
studentT(double, double) - Static method in class cern.jet.stat.Probability
Returns the integral from minus infinity to t of the Student-t distribution with k > 0 degrees of freedom.
studentT(double, int) - Static method in class flanagan.analysis.Stat
 
studentTarray(int, int) - Method in class flanagan.math.PsRandom
 
studentTcdf(double, int) - Static method in class flanagan.analysis.Stat
 
studentTCDF(double, int) - Static method in class flanagan.analysis.Stat
 
studentTInverse(double, int) - Static method in class cern.jet.stat.Probability
Returns the value, t, for which the area under the Student-t probability density function (integrated from minus infinity to t) is equal to 1-alpha/2.
studentTmean(int) - Static method in class flanagan.analysis.Stat
 
studentTmedian() - Static method in class flanagan.analysis.Stat
 
studentTmode() - Static method in class flanagan.analysis.Stat
 
studentTpdf(double, int) - Static method in class flanagan.analysis.Stat
 
studentTPDF(double, int) - Static method in class flanagan.analysis.Stat
 
studentTProb(double, int) - Static method in class flanagan.analysis.Stat
 
studentTRand(int, int) - Method in class flanagan.analysis.Stat
 
studentTrand(int, int) - Static method in class flanagan.analysis.Stat
 
studentTrand(int, int, long) - Static method in class flanagan.analysis.Stat
 
studentTRand(int, int, long) - Static method in class flanagan.analysis.Stat
 
studentTstandDev(int) - Static method in class flanagan.analysis.Stat
 
sub(Binner1D, Binner1D, Binner1D) - Static method in class hep.aida.ref.histogram.binner.BinnerMath
 
subAndCheck(int, int) - Static method in class org.apache.commons.math.util.MathUtils
Subtract two integers, checking for overflow.
subMatrix(DoubleMatrix2D, int, int, int, int) - Method in class cern.colt.matrix.linalg.Algebra
Constructs and returns a new sub-range view which is the sub matrix A[fromRow..toRow,fromColumn..toColumn].
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(Complex) - Method in class org.apache.commons.math.complex.Complex
Return the difference between this complex number and the given complex number.
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(BigMatrix) - Method in interface org.apache.commons.math.linear.BigMatrix
Compute this minus m.
subtract(BigMatrix) - Method in class org.apache.commons.math.linear.BigMatrixImpl
Compute this minus m.
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
Compute this minus m.
subtractMean(double[]) - Static method in class flanagan.analysis.Stat
 
subtractMean(float[]) - Static method in class flanagan.analysis.Stat
 
sum() - Method in class cern.hep.aida.bin.AbstractBin1D
Returns the sum of all elements, which is Sum( x[i] ).
sum - Static variable in class cern.hep.aida.bin.BinFunctions1D
Function that returns bin.sum().
sum() - Method in class cern.hep.aida.bin.DynamicBin1D
Returns the sum of all elements, which is Sum( x[i] ).
sum() - Method in class cern.hep.aida.bin.StaticBin1D
Returns the sum of all elements, which is Sum( x[i] ).
sum(DoubleArrayList) - Static method in class cern.jet.stat.Descriptive
Returns the sum of a data sequence.
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(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 cern.hep.aida.ref.Histogram2D
 
sumAllBinHeights() - Method in class cern.hep.aida.ref.Histogram3D
 
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
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]).
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
 
sumLog - Static variable in class cern.hep.aida.bin.BinFunctions1D
Function that returns bin.sumOfLogarithms().
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
Abstract factory class for univariate statistical summaries.
SummaryStatistics() - Constructor for class org.apache.commons.math.stat.descriptive.SummaryStatistics
 
SummaryStatisticsImpl - Class in org.apache.commons.math.stat.descriptive
Provides a default SummaryStatistics implementation.
SummaryStatisticsImpl() - Constructor for class org.apache.commons.math.stat.descriptive.SummaryStatisticsImpl
Construct a SummaryStatistics
SumOfFunctions - Class in hep.aida.ref.function
 
SumOfFunctions(String, ArrayList) - Constructor for class hep.aida.ref.function.SumOfFunctions
 
sumOfInversions() - Method in class cern.hep.aida.bin.DynamicBin1D
Returns the sum of inversions, which is Sum( 1 / x[i] ).
sumOfInversions() - Method in class cern.hep.aida.bin.MightyStaticBin1D
Returns the sum of inversions, which is Sum( 1 / x[i] ).
sumOfInversions(DoubleArrayList, int, int) - Static method in class cern.jet.stat.Descriptive
Returns the sum of inversions of a data sequence, which is Sum( 1.0 / data[i]).
sumOfLogarithms() - Method in class cern.hep.aida.bin.DynamicBin1D
Returns the sum of logarithms, which is Sum( Log(x[i]) ).
sumOfLogarithms() - Method in class cern.hep.aida.bin.MightyStaticBin1D
Returns the sum of logarithms, which is Sum( Log(x[i]) ).
sumOfLogarithms(DoubleArrayList, int, int) - Static method in class cern.jet.stat.Descriptive
Returns the sum of logarithms of a data sequence, which is Sum( Log(data[i]).
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
sumOfPowerDeviations(DoubleArrayList, int, double) - Static method in class cern.jet.stat.Descriptive
Returns Sum( (data[i]-c)k ); optimized for common parameters like c == 0.0 and/or k == -2 ..
sumOfPowerDeviations(DoubleArrayList, int, double, int, int) - Static method in class cern.jet.stat.Descriptive
Returns Sum( (data[i]-c)k ) for all i = from ..
sumOfPowers(int) - Method in class cern.hep.aida.bin.DynamicBin1D
Returns the k-th order sum of powers, which is Sum( x[i]k ).
sumOfPowers(int) - Method in class cern.hep.aida.bin.MightyStaticBin1D
Returns the k-th order sum of powers, which is Sum( x[i]k ).
sumOfPowers(DoubleArrayList, int) - Static method in class cern.jet.stat.Descriptive
Returns the sum of powers of a data sequence, which is Sum ( data[i]k ).
sumOfSquaredDeviations(int, double) - Static method in class cern.jet.stat.Descriptive
Returns the sum of squared mean deviation of of a data sequence.
sumOfSquares() - Method in class cern.hep.aida.bin.AbstractBin1D
Returns the sum of squares, which is Sum( x[i] * x[i] ).
sumOfSquares() - Method in class cern.hep.aida.bin.DynamicBin1D
Returns the sum of squares, which is Sum( x[i] * x[i] ).
sumOfSquares() - Method in class cern.hep.aida.bin.StaticBin1D
Returns the sum of squares, which is Sum( x[i] * x[i] ).
sumOfSquares(DoubleArrayList) - Static method in class cern.jet.stat.Descriptive
Returns the sum of squares of a data sequence.
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
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.
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
 
supressErrorMessage() - Method in class flanagan.math.Matrix
 
supressErrorMessages() - Method in class flanagan.analysis.Regression
 
supressNoConvergenceMessage() - Method in class flanagan.math.Minimisation
 
supressPrint() - Method in class flanagan.analysis.Regression
 
supressYYplot() - Method in class flanagan.analysis.Regression
 
swap(DoubleMatrix1D) - Method in class cern.colt.matrix.DoubleMatrix1D
Swaps each element this[i] with other[i].
swap(DoubleMatrix1D) - Method in class cern.colt.matrix.impl.DenseDoubleMatrix1D
Swaps each element this[i] with other[i].
swap(ObjectMatrix1D) - Method in class cern.colt.matrix.impl.DenseObjectMatrix1D
Swaps each element this[i] with other[i].
swap(ObjectMatrix1D) - Method in class cern.colt.matrix.ObjectMatrix1D
Swaps each element this[i] with other[i].
swap(int, int) - Method in interface cern.colt.Swapper
Swaps the generic data g[a] with g[b].
swapArgs(DoubleDoubleFunction) - Static method in class cern.jet.math.Functions
Constructs a function that returns function.apply(b,a), i.e.
swapArgs(IntIntFunction) - Static method in class cern.jet.math.IntFunctions
Constructs a function that returns function.apply(b,a), i.e.
swappedElements - Static variable in class cern.colt.Partitioning
 
Swapper - Interface in cern.colt
Interface for an object that knows how to swap elements at two positions (a,b).
symlink(String, String) - Method in class hep.aida.ref.tree.Tree
Create a symbolic link to an object in the ITree.

T

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.
T_ABS - Static variable in class flanagan.math.Fmath
 
tan - Static variable in class cern.jet.math.Functions
Function that returns Math.tan(a).
tan(ErrorProp) - Static method in class flanagan.analysis.ErrorProp
 
tan(double, double, double, double, double, double) - Static method in class flanagan.math.Fmath
 
tan(double, double, double) - Static method in class flanagan.math.Fmath
 
tan(double) - Static method in class flanagan.math.Fmath
 
tan(Complex) - Static method in class org.apache.commons.math.complex.ComplexUtils
Compute the tangent for the given complex argument.
tanh(ErrorProp) - Static method in class flanagan.analysis.ErrorProp
 
tanh(double) - Static method in class flanagan.math.Fmath
 
tanh(Complex) - Static method in class org.apache.commons.math.complex.ComplexUtils
Compute the hyperbolic tangent for the given complex argument.
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) - Constructor for class org.apache.commons.math.distribution.TDistributionImpl
Create a t distribution using the given degrees of freedom.
teraelectronvolt - Static variable in class cern.clhep.Units
 
tesla - Static variable in class cern.clhep.Units
 
test(int) - Static method in class cern.colt.Timer
Shows how to use a timer in convenient ways.
Test - Class in cern.hep.aida.ref
A very(!) basic test of the reference implementations of AIDA histograms.
Test() - Constructor for class cern.hep.aida.ref.Test
 
test(int, AbstractDistribution) - Static method in class cern.jet.random.Benchmark
Prints the first size random numbers generated by the distribution.
test(int, RandomEngine) - Static method in class cern.jet.random.engine.Benchmark
Prints the first size random numbers generated by the given engine.
test(long, long, long, int, int) - Static method in class cern.jet.random.sampling.RandomSampler
Tests the methods of this class.
test(long, long) - Static method in class cern.jet.random.sampling.RandomSamplingAssistant
Tests the methods of this class.
test(int, int) - Static method in class cern.jet.random.sampling.WeightedRandomSampler
Not yet commented.
test(float) - Static method in class cern.jet.stat.quantile.EquiDepthHistogram
Not yet commented.
test1() - Static method in class hep.aida.ref.function.FunctionCatalog
 
test2(int) - Static method in class cern.colt.map.Benchmark
 
Test2 - Class in cern.hep.aida.ref
A very(!) basic test of the reference implementations of AIDA histograms
Test2() - Constructor for class cern.hep.aida.ref.Test2
 
test2(int, AbstractDistribution) - Static method in class cern.jet.random.Benchmark
Prints the first size random numbers generated by the distribution.
test2(int, AbstractDistribution, AbstractDistribution) - Static method in class cern.jet.random.Benchmark
Prints the first size random numbers generated by the distribution.
test2() - Static method in class hep.aida.ref.function.FunctionCatalog
 
testArraySampling(int, int) - Static method in class cern.jet.random.sampling.RandomSamplingAssistant
Tests the methods of this class.
TestFactory - Class in org.apache.commons.math.stat.inference
Abstract factory to create inference test instances.
TestFactoryImpl - Class in org.apache.commons.math.stat.inference
A concrete inference test factory.
TestFactoryImpl() - Constructor for class org.apache.commons.math.stat.inference.TestFactoryImpl
Default constructor.
testOfAdditionalTerms(double, int, double, int, int) - Static method in class flanagan.analysis.Regression
 
testOfAdditionalTermsFprobabilty(double, int, double, int, int) - Method in class flanagan.analysis.Regression
 
testOfAdditionalTermsFratio(double, int, double, int, int) - Method in class flanagan.analysis.Regression
 
testTest() - Method in class flanagan.math.PsRandom
 
TestUtils - Class in org.apache.commons.math.stat.inference
A collection of static methods to create inference test instances or to perform inference tests.
TeV - Static variable in class cern.clhep.Units
 
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
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
Timer - Class in cern.colt
A handy stopwatch for benchmarking.
Timer() - Constructor for class cern.colt.Timer
Constructs a new timer, initially not started.
timer - Static variable in class jhplot.JHPlot
 
times(int) - Method in class cern.colt.list.AbstractBooleanList
Returns a list which is a concatenation of times times the receiver.
times(int) - Method in class cern.colt.list.AbstractByteList
Returns a list which is a concatenation of times times the receiver.
times(int) - Method in class cern.colt.list.AbstractCharList
Returns a list which is a concatenation of times times the receiver.
times(int) - Method in class cern.colt.list.AbstractDoubleList
Returns a list which is a concatenation of times times the receiver.
times(int) - Method in class cern.colt.list.AbstractFloatList
Returns a list which is a concatenation of times times the receiver.
times(int) - Method in class cern.colt.list.AbstractIntList
Returns a list which is a concatenation of times times the receiver.
times(int) - Method in class cern.colt.list.AbstractLongList
Returns a list which is a concatenation of times times the receiver.
times(int) - Method in class cern.colt.list.AbstractShortList
Returns a list which is a concatenation of times times the receiver.
times(int) - Method in class cern.colt.list.ObjectArrayList
Returns a list which is a concatenation of times times the receiver.
times(ErrorProp, double) - Method in class flanagan.analysis.ErrorProp
 
times(ErrorProp) - Method in class flanagan.analysis.ErrorProp
 
times(double) - Method in class flanagan.analysis.ErrorProp
 
times(ErrorProp, ErrorProp, double) - Static method in class flanagan.analysis.ErrorProp
 
times(ErrorProp, ErrorProp) - Static method in class flanagan.analysis.ErrorProp
 
times(double, ErrorProp) - Static method in class flanagan.analysis.ErrorProp
 
times(double, double) - Static method in class flanagan.analysis.ErrorProp
 
times(Matrix) - Method in class flanagan.math.Matrix
 
times(double[][]) - Method in class flanagan.math.Matrix
 
times(double) - Method in class flanagan.math.Matrix
 
times(Matrix, Matrix) - Static method in class flanagan.math.Matrix
 
times(Matrix, double) - Static method in class flanagan.math.Matrix
 
timesEquals(ErrorProp, double) - Method in class flanagan.analysis.ErrorProp
 
timesEquals(ErrorProp) - Method in class flanagan.analysis.ErrorProp
 
timesEquals(double) - Method in class flanagan.analysis.ErrorProp
 
timesEquals(Matrix) - Method in class flanagan.math.Matrix
 
timesEquals(double) - Method in class flanagan.math.Matrix
 
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_CHANGED - Static variable in class hep.aida.ref.function.FunctionChangedEvent
 
titleKey - Static variable in class hep.aida.ref.Annotation
 
toArray(Object[]) - Method in class cern.colt.list.ObjectArrayList
Returns an array containing all of the elements in the receiver in the correct order.
toArray() - Method in class cern.colt.matrix.DoubleMatrix1D
Constructs and returns a 1-dimensional array containing the cell values.
toArray(double[]) - Method in class cern.colt.matrix.DoubleMatrix1D
Fills the cell values into the specified 1-dimensional array.
toArray() - Method in class cern.colt.matrix.DoubleMatrix2D
Constructs and returns a 2-dimensional array containing the cell values.
toArray() - Method in class cern.colt.matrix.DoubleMatrix3D
Constructs and returns a 2-dimensional array containing the cell values.
toArray(double[]) - Method in class cern.colt.matrix.impl.DenseDoubleMatrix1D
Fills the cell values into the specified 1-dimensional array.
toArray(Object[]) - Method in class cern.colt.matrix.impl.DenseObjectMatrix1D
Fills the cell values into the specified 1-dimensional array.
toArray() - Method in class cern.colt.matrix.ObjectMatrix1D
Constructs and returns a 1-dimensional array containing the cell values.
toArray(Object[]) - Method in class cern.colt.matrix.ObjectMatrix1D
Fills the cell values into the specified 1-dimensional array.
toArray() - Method in class cern.colt.matrix.ObjectMatrix2D
Constructs and returns a 2-dimensional array containing the cell values.
toArray() - Method in class cern.colt.matrix.ObjectMatrix3D
Constructs and returns a 2-dimensional array containing the cell values.
toBitVector() - Method in class cern.colt.bitvector.BitMatrix
Converts the receiver to a bitvector.
toBitVector() - Method in class cern.colt.list.MinMaxNumberList
Returns the receiver seen as bitvector.
toFile(String) - Method in class jhplot.H1D
Write the H1D histogram to a file
toFile(String) - Method in class jhplot.P1D
Write a P1D 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
tolerance() - Method in class cern.colt.matrix.linalg.Property
Returns the current tolerance.
toList() - Method in class cern.colt.list.AbstractBooleanList
Returns a java.util.ArrayList containing all the elements in the receiver.
toList() - Method in class cern.colt.list.AbstractByteList
Returns a java.util.ArrayList containing all the elements in the receiver.
toList() - Method in class cern.colt.list.AbstractCharList
Returns a java.util.ArrayList containing all the elements in the receiver.
toList() - Method in class cern.colt.list.AbstractCollection
Returns a java.util.ArrayList containing all the elements in the receiver.
toList() - Method in class cern.colt.list.AbstractDoubleList
Returns a java.util.ArrayList containing all the elements in the receiver.
toList() - Method in class cern.colt.list.AbstractFloatList
Returns a java.util.ArrayList containing all the elements in the receiver.
toList() - Method in class cern.colt.list.AbstractIntList
Returns a java.util.ArrayList containing all the elements in the receiver.
toList() - Method in class cern.colt.list.AbstractLongList
Returns a java.util.ArrayList containing all the elements in the receiver.
toList() - Method in class cern.colt.list.AbstractShortList
Returns a java.util.ArrayList containing all the elements in the receiver.
toList() - Method in class cern.colt.list.ObjectArrayList
Returns a java.util.ArrayList containing all the elements in the receiver.
toList(DoubleMatrix1D) - Method in class cern.colt.matrix.DoubleFactory1D
Constructs a list from the given matrix.
toList(ObjectMatrix1D) - Method in class cern.colt.matrix.ObjectFactory1D
Constructs a list from the given matrix.
tonToKg(double) - Static method in class flanagan.math.Fmath
 
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.
toSourceCode(DoubleMatrix1D) - Method in class cern.colt.matrix.doublealgo.Formatter
Returns a string s such that Object[] m = s is a legal Java statement.
toSourceCode(DoubleMatrix2D) - Method in class cern.colt.matrix.doublealgo.Formatter
Returns a string s such that Object[] m = s is a legal Java statement.
toSourceCode(DoubleMatrix3D) - Method in class cern.colt.matrix.doublealgo.Formatter
Returns a string s such that Object[] m = s is a legal Java statement.
toSourceCode(ObjectMatrix1D) - Method in class cern.colt.matrix.objectalgo.Formatter
Returns a string s such that Object[] m = s is a legal Java statement.
toSourceCode(ObjectMatrix2D) - Method in class cern.colt.matrix.objectalgo.Formatter
Returns a string s such that Object[] m = s is a legal Java statement.
toSourceCode(ObjectMatrix3D) - Method in class cern.colt.matrix.objectalgo.Formatter
Returns a string s such that Object[] m = s is a legal Java statement.
toString(byte[]) - Static method in class cern.colt.Arrays
Returns a string representation of the specified array.
toString(char[]) - Static method in class cern.colt.Arrays
Returns a string representation of the specified array.
toString(double[]) - Static method in class cern.colt.Arrays
Returns a string representation of the specified array.
toString(float[]) - Static method in class cern.colt.Arrays
Returns a string representation of the specified array.
toString(int[]) - Static method in class cern.colt.Arrays
Returns a string representation of the specified array.
toString(long[]) - Static method in class cern.colt.Arrays
Returns a string representation of the specified array.
toString(Object[]) - Static method in class cern.colt.Arrays
Returns a string representation of the specified array.
toString(short[]) - Static method in class cern.colt.Arrays
Returns a string representation of the specified array.
toString(boolean[]) - Static method in class cern.colt.Arrays
Returns a string representation of the specified array.
toString() - Method in class cern.colt.bitvector.BitMatrix
Returns a (very crude) string representation of the receiver.
toString() - Method in class cern.colt.bitvector.BitVector
Returns a string representation of the receiver.
toString() - Method in class cern.colt.list.AbstractBooleanList
Returns a string representation of the receiver, containing the String representation of each element.
toString() - Method in class cern.colt.list.AbstractByteList
Returns a string representation of the receiver, containing the String representation of each element.
toString() - Method in class cern.colt.list.AbstractCharList
Returns a string representation of the receiver, containing the String representation of each element.
toString() - Method in class cern.colt.list.AbstractCollection
Returns a string representation of the receiver, containing the String representation of each element.
toString() - Method in class cern.colt.list.AbstractDoubleList
Returns a string representation of the receiver, containing the String representation of each element.
toString() - Method in class cern.colt.list.AbstractFloatList
Returns a string representation of the receiver, containing the String representation of each element.
toString() - Method in class cern.colt.list.AbstractIntList
Returns a string representation of the receiver, containing the String representation of each element.
toString() - Method in class cern.colt.list.AbstractLongList
Returns a string representation of the receiver, containing the String representation of each element.
toString() - Method in class cern.colt.list.AbstractShortList
Returns a string representation of the receiver, containing the String representation of each element.
toString() - Method in class cern.colt.list.ObjectArrayList
Returns a string representation of the receiver, containing the String representation of each element.
toString() - Method in class cern.colt.map.AbstractDoubleIntMap
Returns a string representation of the receiver, containing the String representation of each key-value pair, sorted ascending by key.
toString() - Method in class cern.colt.map.AbstractIntDoubleMap
Returns a string representation of the receiver, containing the String representation of each key-value pair, sorted ascending by key.
toString() - Method in class cern.colt.map.AbstractIntIntMap
Returns a string representation of the receiver, containing the String representation of each key-value pair, sorted ascending by key.
toString() - Method in class cern.colt.map.AbstractIntObjectMap
Returns a string representation of the receiver, containing the String representation of each key-value pair, sorted ascending by key.
toString() - Method in class cern.colt.map.AbstractLongObjectMap
Returns a string representation of the receiver, containing the String representation of each key-value pair, sorted ascending by key.
toString(DoubleMatrix1D) - Method in class cern.colt.matrix.doublealgo.Formatter
Returns a string representation of the given matrix.
toString(DoubleMatrix2D) - Method in class cern.colt.matrix.doublealgo.Formatter
Returns a string representation of the given matrix.
toString(DoubleMatrix3D) - Method in class cern.colt.matrix.doublealgo.Formatter
Returns a string representation of the given matrix.
toString() - Method in class cern.colt.matrix.DoubleMatrix1D
Returns a string representation using default formatting.
toString() - Method in class cern.colt.matrix.DoubleMatrix2D
Returns a string representation using default formatting.
toString() - Method in class cern.colt.matrix.DoubleMatrix3D
Returns a string representation using default formatting.
toString(DoubleMatrix2D) - Method in class cern.colt.matrix.linalg.Algebra
Returns a String with (propertyName, propertyValue) pairs.
toString() - Method in class cern.colt.matrix.linalg.CholeskyDecomposition
Returns a String with (propertyName, propertyValue) pairs.
toString() - Method in class cern.colt.matrix.linalg.EigenvalueDecomposition
Returns a String with (propertyName, propertyValue) pairs.
toString() - Method in class cern.colt.matrix.linalg.LUDecomposition
Returns a String with (propertyName, propertyValue) pairs.
toString() - Method in class cern.colt.matrix.linalg.LUDecompositionQuick
Returns a String with (propertyName, propertyValue) pairs.
toString(DoubleMatrix2D) - Method in class cern.colt.matrix.linalg.Property
Returns summary information about the given matrix A.
toString() - Method in class cern.colt.matrix.linalg.QRDecomposition
Returns a String with (propertyName, propertyValue) pairs.
toString() - Method in class cern.colt.matrix.linalg.SingularValueDecomposition
Returns a String with (propertyName, propertyValue) pairs.
toString(ObjectMatrix1D) - Method in class cern.colt.matrix.objectalgo.Formatter
Returns a string representation of the given matrix.
toString(ObjectMatrix2D) - Method in class cern.colt.matrix.objectalgo.Formatter
Returns a string representation of the given matrix.
toString(ObjectMatrix3D) - Method in class cern.colt.matrix.objectalgo.Formatter
Returns a string representation of the given matrix.
toString() - Method in class cern.colt.matrix.ObjectMatrix1D
Returns a string representation using default formatting.
toString() - Method in class cern.colt.matrix.ObjectMatrix2D
Returns a string representation using default formatting.
toString() - Method in class cern.colt.matrix.ObjectMatrix3D
Returns a string representation using default formatting.
toString() - Method in class cern.colt.Timer
Returns a String representation of the receiver.
toString() - Method in class cern.hep.aida.bin.AbstractBin
Returns a String representation of the receiver.
toString() - Method in class cern.hep.aida.bin.AbstractBin1D
Returns a String representation of the receiver.
toString() - Method in class cern.hep.aida.bin.DynamicBin1D
Returns a String representation of the receiver.
toString() - Method in class cern.hep.aida.bin.MightyStaticBin1D
Returns a String representation of the receiver.
toString() - Method in class cern.hep.aida.bin.QuantileBin1D
Returns a String representation of the receiver.
toString(IAxis) - Method in class cern.hep.aida.ref.Converter
Returns a string representation of the given argument.
toString(IHistogram1D) - Method in class cern.hep.aida.ref.Converter
Returns a string representation of the given argument.
toString(IHistogram2D) - Method in class cern.hep.aida.ref.Converter
Returns a string representation of the given argument.
toString(IHistogram3D) - Method in class cern.hep.aida.ref.Converter
Returns a string representation of the given argument.
toString() - Method in class cern.jet.random.Beta
Returns a String representation of the receiver.
toString() - Method in class cern.jet.random.Binomial
Returns a String representation of the receiver.
toString() - Method in class cern.jet.random.BreitWigner
Returns a String representation of the receiver.
toString() - Method in class cern.jet.random.ChiSquare
Returns a String representation of the receiver.
toString() - Method in class cern.jet.random.Empirical
Returns a String representation of the receiver.
toString() - Method in class cern.jet.random.EmpiricalWalker
Returns a String representation of the receiver.
toString() - Method in class cern.jet.random.Exponential
Returns a String representation of the receiver.
toString() - Method in class cern.jet.random.ExponentialPower
Returns a String representation of the receiver.
toString() - Method in class cern.jet.random.Gamma
Returns a String representation of the receiver.
toString() - Method in class cern.jet.random.Hyperbolic
Returns a String representation of the receiver.
toString() - Method in class cern.jet.random.HyperGeometric
Returns a String representation of the receiver.
toString() - Method in class cern.jet.random.Logarithmic
Returns a String representation of the receiver.
toString() - Method in class cern.jet.random.NegativeBinomial
Returns a String representation of the receiver.
toString() - Method in class cern.jet.random.Normal
Returns a String representation of the receiver.
toString() - Method in class cern.jet.random.Poisson
Returns a String representation of the receiver.
toString() - Method in class cern.jet.random.PoissonSlow
Returns a String representation of the receiver.
toString() - Method in class cern.jet.random.StudentT
Returns a String representation of the receiver.
toString() - Method in class cern.jet.random.Uniform
Returns a String representation of the receiver.
toString() - Method in class cern.jet.random.VonMises
Returns a String representation of the receiver.
toString() - Method in class cern.jet.random.Zeta
Returns a String representation of the receiver.
toString() - Method in class flanagan.analysis.ErrorProp
 
toString(ErrorProp) - Static method in class flanagan.analysis.ErrorProp
 
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 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 jminhep.cluster.DataPoint
Returns a string representation of this DataPoint
toString() - Method in class org.apache.commons.math.linear.BigMatrixImpl
 
toString() - Method in class org.apache.commons.math.linear.RealMatrixImpl
 
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.SummaryStatisticsImpl
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.
toStringByValue() - Method in class cern.colt.map.AbstractDoubleIntMap
Returns a string representation of the receiver, containing the String representation of each key-value pair, sorted ascending by value.
toStringByValue() - Method in class cern.colt.map.AbstractIntDoubleMap
Returns a string representation of the receiver, containing the String representation of each key-value pair, sorted ascending by value.
toStringByValue() - Method in class cern.colt.map.AbstractIntIntMap
Returns a string representation of the receiver, containing the String representation of each key-value pair, sorted ascending by value.
toStringByValue() - Method in class cern.colt.map.AbstractIntObjectMap
Returns a string representation of the receiver, containing the String representation of each key-value pair, sorted ascending by value, according to natural ordering.
toStringByValue() - Method in class cern.colt.map.AbstractLongObjectMap
Returns a string representation of the receiver, containing the String representation of each key-value pair, sorted ascending by value, according to natural ordering.
toStringShort() - Method in class cern.colt.matrix.impl.AbstractMatrix1D
Returns a string representation of the receiver's shape.
toStringShort() - Method in class cern.colt.matrix.impl.AbstractMatrix2D
Returns a string representation of the receiver's shape.
toStringShort() - Method in class cern.colt.matrix.impl.AbstractMatrix3D
Returns a string representation of the receiver's shape.
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 the 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() - 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.
totalMemory() - Method in interface cern.jet.stat.quantile.DoubleQuantileFinder
Returns the number of elements currently needed to store all contained elements.
toTitleString(DoubleMatrix2D, String[], String[], String, String, String, BinFunction1D[]) - Method in class cern.colt.matrix.doublealgo.Formatter
Same as toTitleString except that additionally statistical aggregates (mean, median, sum, etc.) of rows and columns are printed.
toTitleString(DoubleMatrix3D, String[], String[], String[], String, String, String, String, BinFunction1D[]) - Method in class cern.colt.matrix.doublealgo.Formatter
Returns a string representation of the given matrix with axis as well as rows and columns labeled.
toTitleString(ObjectMatrix2D, String[], String[], String, String, String) - Method in class cern.colt.matrix.objectalgo.Formatter
Returns a string representation of the given matrix with axis as well as rows and columns labeled.
toTitleString(ObjectMatrix3D, String[], String[], String[], String, String, String, String) - Method in class cern.colt.matrix.objectalgo.Formatter
Returns a string representation of the given matrix with axis as well as rows and columns labeled.
toVerboseString(DoubleMatrix2D) - Method in class cern.colt.matrix.linalg.Algebra
Returns the results of toString(A) and additionally the results of all sorts of decompositions applied to the given matrix.
toXML(IHistogram1D) - Method in class cern.hep.aida.ref.Converter
Returns a XML representation of the given argument.
toXML(IHistogram2D) - Method in class cern.hep.aida.ref.Converter
Returns a XML representation of the given argument.
trace(DoubleMatrix2D) - Method in class cern.colt.matrix.linalg.Algebra
Returns the sum of the diagonal elements of matrix A; Sum(A[i,i]).
trace() - Method in class flanagan.math.Matrix
 
trace(Matrix) - Static method in class flanagan.math.Matrix
 
Transform - Class in cern.colt.matrix.doublealgo
Deprecated.  
transform - Static variable in class cern.colt.matrix.doublealgo.Transform
Deprecated. Little trick to allow for "aliasing", that is, renaming this class.
transform() - Method in class flanagan.math.FourierTransform
 
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.
TransformerMap - Class in org.apache.commons.math.util
This TansformerMap automates the transformation of of mixed object types.
TransformerMap() - Constructor for class org.apache.commons.math.util.TransformerMap
 
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(DoubleMatrix2D) - Method in class cern.colt.matrix.linalg.Algebra
Constructs and returns a new view which is the transposition of the given matrix A.
transpose() - Method in class flanagan.math.Matrix
 
transpose(Matrix) - Static method in class flanagan.math.Matrix
 
transpose() - Method in interface org.apache.commons.math.linear.BigMatrix
Returns the transpose of this matrix.
transpose() - Method in class org.apache.commons.math.linear.BigMatrixImpl
Returns the transpose matrix.
transpose() - Method in interface org.apache.commons.math.linear.RealMatrix
Returns the transpose of this matrix.
transpose() - Method in class org.apache.commons.math.linear.RealMatrixImpl
Returns the transpose matrix.
trapezium() - Method in class flanagan.integration.Integration
 
trapezium(int) - Method in class flanagan.integration.Integration
 
trapezium(IntegralFunction, double, double, int) - Static method in class flanagan.integration.Integration
 
trapezium(double, int) - Method in class flanagan.integration.Integration
 
trapezium(IntegralFunction, double, double, double, int) - Static method in class flanagan.integration.Integration
 
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
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
 
TriCubicSpline - Class in flanagan.interpolation
 
TriCubicSpline(double[], double[], double[], double[][][]) - Constructor for class flanagan.interpolation.TriCubicSpline
 
trim(int, int) - Method in class cern.hep.aida.bin.DynamicBin1D
Removes the s smallest and l largest elements from the receiver.
trimmedMean(int, int) - Method in class cern.hep.aida.bin.DynamicBin1D
Returns the trimmed mean.
trimmedMean(DoubleArrayList, double, int, int) - Static method in class cern.jet.stat.Descriptive
Returns the trimmed mean of a sorted data sequence.
trimToCapacity(byte[], int) - Static method in class cern.colt.Arrays
Ensures that the specified array cannot hold more than maxCapacity elements.
trimToCapacity(char[], int) - Static method in class cern.colt.Arrays
Ensures that the specified array cannot hold more than maxCapacity elements.
trimToCapacity(double[], int) - Static method in class cern.colt.Arrays
Ensures that the specified array cannot hold more than maxCapacity elements.
trimToCapacity(float[], int) - Static method in class cern.colt.Arrays
Ensures that the specified array cannot hold more than maxCapacity elements.
trimToCapacity(int[], int) - Static method in class cern.colt.Arrays
Ensures that the specified array cannot hold more than maxCapacity elements.
trimToCapacity(long[], int) - Static method in class cern.colt.Arrays
Ensures that the specified array cannot hold more than maxCapacity elements.
trimToCapacity(Object[], int) - Static method in class cern.colt.Arrays
Ensures that the specified array cannot hold more than maxCapacity elements.
trimToCapacity(short[], int) - Static method in class cern.colt.Arrays
Ensures that the specified array cannot hold more than maxCapacity elements.
trimToCapacity(boolean[], int) - Static method in class cern.colt.Arrays
Ensures that the specified array cannot hold more than maxCapacity elements.
trimToSize() - Method in class cern.colt.list.AbstractList
Trims the capacity of the receiver to be the receiver's current size.
trimToSize() - Method in class cern.colt.list.BooleanArrayList
Trims the capacity of the receiver to be the receiver's current size.
trimToSize() - Method in class cern.colt.list.ByteArrayList
Trims the capacity of the receiver to be the receiver's current size.
trimToSize() - Method in class cern.colt.list.CharArrayList
Trims the capacity of the receiver to be the receiver's current size.
trimToSize() - Method in class cern.colt.list.DistinctNumberList
Trims the capacity of the receiver to be the receiver's current size.
trimToSize() - Method in class cern.colt.list.DoubleArrayList
Trims the capacity of the receiver to be the receiver's current size.
trimToSize() - Method in class cern.colt.list.FloatArrayList
Trims the capacity of the receiver to be the receiver's current size.
trimToSize() - Method in class cern.colt.list.IntArrayList
Trims the capacity of the receiver to be the receiver's current size.
trimToSize() - Method in class cern.colt.list.LongArrayList
Trims the capacity of the receiver to be the receiver's current size.
trimToSize() - Method in class cern.colt.list.MinMaxNumberList
Trims the capacity of the receiver to be the receiver's current size.
trimToSize() - Method in class cern.colt.list.ObjectArrayList
Trims the capacity of the receiver to be the receiver's current size.
trimToSize() - Method in class cern.colt.list.ShortArrayList
Trims the capacity of the receiver to be the receiver's current size.
trimToSize() - Method in class cern.colt.list.SimpleLongArrayList
Trims the capacity of the receiver to be the receiver's current size.
trimToSize() - Method in class cern.colt.map.AbstractMap
Trims the capacity of the receiver to be the receiver's current size.
trimToSize() - Method in class cern.colt.map.OpenDoubleIntHashMap
Trims the capacity of the receiver to be the receiver's current size.
trimToSize() - Method in class cern.colt.map.OpenIntDoubleHashMap
Trims the capacity of the receiver to be the receiver's current size.
trimToSize() - Method in class cern.colt.map.OpenIntIntHashMap
Trims the capacity of the receiver to be the receiver's current size.
trimToSize() - Method in class cern.colt.map.OpenIntObjectHashMap
Trims the capacity of the receiver to be the receiver's current size.
trimToSize() - Method in class cern.colt.map.OpenLongObjectHashMap
Trims the capacity of the receiver to be the receiver's current size.
trimToSize() - Method in class cern.colt.matrix.impl.AbstractMatrix
Releases any superfluous internal memory.
trimToSize() - Method in class cern.colt.matrix.impl.RCDoubleMatrix2D
 
trimToSize() - Method in class cern.colt.matrix.impl.SparseDoubleMatrix1D
Releases any superfluous memory created by explicitly putting zero values into cells formerly having non-zero values; An application can use this operation to minimize the storage of the receiver.
trimToSize() - Method in class cern.colt.matrix.impl.SparseDoubleMatrix2D
Releases any superfluous memory created by explicitly putting zero values into cells formerly having non-zero values; An application can use this operation to minimize the storage of the receiver.
trimToSize() - Method in class cern.colt.matrix.impl.SparseDoubleMatrix3D
Releases any superfluous memory created by explicitly putting zero values into cells formerly having non-zero values; An application can use this operation to minimize the storage of the receiver.
trimToSize() - Method in class cern.colt.matrix.impl.SparseObjectMatrix1D
Releases any superfluous memory created by explicitly putting zero values into cells formerly having non-zero values; An application can use this operation to minimize the storage of the receiver.
trimToSize() - Method in class cern.colt.matrix.impl.SparseObjectMatrix2D
Releases any superfluous memory created by explicitly putting zero values into cells formerly having non-zero values; An application can use this operation to minimize the storage of the receiver.
trimToSize() - Method in class cern.colt.matrix.impl.SparseObjectMatrix3D
Releases any superfluous memory created by explicitly putting zero values into cells formerly having non-zero values; An application can use this operation to minimize the storage of the receiver.
trimToSize() - Method in class cern.hep.aida.bin.AbstractBin
Trims the capacity of the receiver to be the receiver's current size.
trimToSize() - Method in class cern.hep.aida.bin.AbstractBin1D
Trims the capacity of the receiver to be the receiver's current size.
trimToSize() - Method in class cern.hep.aida.bin.DynamicBin1D
Trims the capacity of the receiver to be the receiver's current size.
triplePartition(double[], double[], double[], int, int, double[], int, int, int[]) - Static method in class cern.colt.Partitioning
Same as Partitioning.triplePartition(int[],int[],int[],int,int,int[],int,int,int[]) except that it synchronously partitions double[] rather than int[] arrays.
triplePartition(double[], double[], double[], int, int, double) - Static method in class cern.colt.Partitioning
Same as Partitioning.triplePartition(int[],int[],int[],int,int,int) except that it synchronously partitions double[] rather than int[] arrays.
triplePartition(int[], int[], int[], int, int, int[], int, int, int[]) - Static method in class cern.colt.Partitioning
Same as Partitioning.partition(int[],int,int,int[],int,int,int[]) except that this method synchronously partitions three arrays at the same time; all three arrays are partially sorted according to the elements of the primary array.
triplePartition(int[], int[], int[], int, int, int) - Static method in class cern.colt.Partitioning
Same as Partitioning.partition(int[],int,int,int) except that this method synchronously partitions three arrays at the same time; all three arrays are partially sorted according to the elements of the primary array.
truncate(ErrorProp, int) - Static method in class flanagan.analysis.ErrorProp
 
truncate(int) - Method in class flanagan.analysis.ErrorProp
 
truncate(double, int) - Static method in class flanagan.math.Fmath
 
truncate(float, int) - Static method in class flanagan.math.Fmath
 
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.
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
 
TWELVE - Static variable in class cern.colt.matrix.linalg.Property
A Property object with tolerance()==1.0E-12.
twoDarray(int, int) - Static method in class flanagan.analysis.ErrorProp
 
twoDarray(int, int, double, double) - Static method in class flanagan.analysis.ErrorProp
 
twoDarray(int, int, ErrorProp) - Static method in class flanagan.analysis.ErrorProp
 
twopi - Static variable in class cern.clhep.PhysicalConstants
 
twopi_mc2_rcl2 - Static variable in class cern.clhep.PhysicalConstants
 
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

UnbinnedMaximumLikelihoodFitMethod - Class in hep.aida.ref.fitter.fitmethod
 
UnbinnedMaximumLikelihoodFitMethod() - Constructor for class hep.aida.ref.fitter.fitmethod.UnbinnedMaximumLikelihoodFitMethod
 
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 cern.jet.random
Uniform distribution; Math definition and animated definition.
Uniform(double, double, int) - Constructor for class cern.jet.random.Uniform
Constructs a uniform distribution with the given minimum and maximum, using a MersenneTwister seeded with the given seed.
Uniform(double, double, RandomEngine) - Constructor for class cern.jet.random.Uniform
Constructs a uniform distribution with the given minimum and maximum.
Uniform(RandomEngine) - Constructor for class cern.jet.random.Uniform
Constructs a uniform distribution with min=0.0 and max=1.0.
UNIFORM_MODE - Static variable in class org.apache.commons.math.random.ValueServer
Uniform random deviates with mean = mu
Units - Class in cern.clhep
High Energy Physics coherent system of Units.
UnivariateRealFunction - Interface in org.apache.commons.math.analysis
An interface representing a univariate real function.
UnivariateRealInterpolator - Interface in org.apache.commons.math.analysis
Interface representing a univariate real interpolating function.
UnivariateRealSolver - Interface in org.apache.commons.math.analysis
Interface for (univariate real) rootfinding algorithms.
UnivariateRealSolverFactory - Class in org.apache.commons.math.analysis
Abstract factory class used to create UnivariateRealSolver instances.
UnivariateRealSolverFactoryImpl - Class in org.apache.commons.math.analysis
A concrete UnivariateRealSolverFactory.
UnivariateRealSolverFactoryImpl() - Constructor for class org.apache.commons.math.analysis.UnivariateRealSolverFactoryImpl
Default constructor.
UnivariateRealSolverImpl - Class in org.apache.commons.math.analysis
Provide a default implementation for several functions useful to generic solvers.
UnivariateRealSolverUtils - Class in org.apache.commons.math.analysis
Utility routines for UnivariateRealSolver objects.
UnivariateStatistic - Interface in org.apache.commons.math.stat.descriptive
Base evaluation interface implemented by all statistics.
universe_mean_density - Static variable in class cern.clhep.PhysicalConstants
 
unknown_N_compute_B_and_K(double, double, int) - Static method in class cern.jet.stat.quantile.QuantileFinderFactory
Computes the number of buffers and number of values per buffer such that quantiles can be determined with an approximation error no more than epsilon with a certain probability.
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.HPlot3D
Update thje graphics
updateAll() - Method in class jhplot.HPlot
Refresh all the plots on the same canvas HPLOT
updateGraphIfShowing() - Method in class jhplot.HPlot
Update the graph if it is showing.
updateSettings(XMLRead) - Method in class jhplot.shapes.HShape
Update the current primitive with the settings.
upperBandwidth(DoubleMatrix2D) - Method in class cern.colt.matrix.linalg.Property
The upper bandwidth of a square matrix A is the maximum j-i for which A[i,j] is nonzero and j > i.
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 disbution, X, this method returns P(X ≥ x).
upperEdge() - Method in class cern.hep.aida.ref.FixedAxis
 
upperEdge() - Method in class cern.hep.aida.ref.VariableAxis
 
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
 
upperOutliersAnscombe(double[], double) - Static method in class flanagan.analysis.Stat
 
useAxesRatio() - Method in class jhplot.HPlot
Says whether we should use a fixed ratio between X- and Y-axes lengths.
useFunctionGradient() - Method in class hep.aida.ref.fitter.Fitter
 
useLegendPos() - Method in class jhplot.HPlot
Returns whether or not we use the legend coordinates.
useNumberOfTics(int) - Method in class jhplot.HPlot
Returns whether or not to use a fixed number of tics.

V

value() - Method in class cern.hep.aida.bin.AbstractBin
Returns value(0).
value(int) - Method in class cern.hep.aida.bin.AbstractBin
Returns a custom definable "value" measure; override this method if necessary.
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.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(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 org.apache.commons.math.analysis.PolynomialFunction
Compute the value of the function for the given argument.
value(double) - Method in class org.apache.commons.math.analysis.PolynomialSplineFunction
Compute the value for the function.
value(double) - Method in interface org.apache.commons.math.analysis.UnivariateRealFunction
Compute the value for the function.
valueArea(double[][], String, String) - Method in class jhplot.HChart
Set a value to Area dataset.
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
 
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.
valuePie(String, double) - Method in class jhplot.HChart
Set a value to pie dataset
valuePie3D(String, double) - Method in class jhplot.HChart
Set a value to 3D pie dataset.
values() - Method in class cern.colt.map.AbstractDoubleIntMap
Returns a list filled with all values contained in the receiver.
values(IntArrayList) - Method in class cern.colt.map.AbstractDoubleIntMap
Fills all values contained in the receiver into the specified list.
values() - Method in class cern.colt.map.AbstractIntDoubleMap
Returns a list filled with all values contained in the receiver.
values(DoubleArrayList) - Method in class cern.colt.map.AbstractIntDoubleMap
Fills all values contained in the receiver into the specified list.
values() - Method in class cern.colt.map.AbstractIntIntMap
Returns a list filled with all values contained in the receiver.
values(IntArrayList) - Method in class cern.colt.map.AbstractIntIntMap
Fills all values contained in the receiver into the specified list.
values() - Method in class cern.colt.map.AbstractIntObjectMap
Returns a list filled with all values contained in the receiver.
values(ObjectArrayList) - Method in class cern.colt.map.AbstractIntObjectMap
Fills all values contained in the receiver into the specified list.
values() - Method in class cern.colt.map.AbstractLongObjectMap
Returns a list filled with all values contained in the receiver.
values(ObjectArrayList) - Method in class cern.colt.map.AbstractLongObjectMap
Fills all values contained in the receiver into the specified list.
values(IntArrayList) - Method in class cern.colt.map.OpenDoubleIntHashMap
Fills all values contained in the receiver into the specified list.
values(DoubleArrayList) - Method in class cern.colt.map.OpenIntDoubleHashMap
Fills all values contained in the receiver into the specified list.
values(IntArrayList) - Method in class cern.colt.map.OpenIntIntHashMap
Fills all values contained in the receiver into the specified list.
values(ObjectArrayList) - Method in class cern.colt.map.OpenIntObjectHashMap
Fills all values contained in the receiver into the specified list.
values(ObjectArrayList) - Method in class cern.colt.map.OpenLongObjectHashMap
Fills all values contained in the receiver into the specified list.
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 in form of 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 cern.hep.aida.ref
Variable-width axis; A reference implementation of hep.aida.IAxis.
VariableAxis(double[]) - Constructor for class cern.hep.aida.ref.VariableAxis
Constructs and returns an axis with the given bin edges.
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.
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.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() - Method in class cern.hep.aida.bin.AbstractBin1D
Returns the sample variance, which is Sum( (x[i]-mean())2 ) / (size()-1).
variance(double) - Static method in class cern.jet.stat.Descriptive
Returns the variance from a standard deviation.
variance(int, double, double) - Static method in class cern.jet.stat.Descriptive
Returns the variance of a data sequence.
variance(double[]) - Static method in class flanagan.analysis.Stat
 
variance(float[]) - Static method in class flanagan.analysis.Stat
 
variance(int[]) - Static method in class flanagan.analysis.Stat
 
variance(long[]) - Static method in class flanagan.analysis.Stat
 
variance(double[], double[]) - Static method in class flanagan.analysis.Stat
 
variance(float[], float[]) - Static method in class flanagan.analysis.Stat
 
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(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]).
vars() - Method in class hep.aida.ref.fitter.fitdata.FitDataIterator
 
vers(double) - Static method in class flanagan.math.Fmath
 
Version - Class in cern.colt
Information about the current release.
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.
viewColumn(int) - Method in class cern.colt.matrix.DoubleMatrix2D
Constructs and returns a new slice view representing the rows of the given column.
viewColumn(int) - Method in class cern.colt.matrix.DoubleMatrix3D
Constructs and returns a new 2-dimensional slice view representing the slices and rows of the given column.
viewColumn(int) - Method in class cern.colt.matrix.ObjectMatrix2D
Constructs and returns a new slice view representing the rows of the given column.
viewColumn(int) - Method in class cern.colt.matrix.ObjectMatrix3D
Constructs and returns a new 2-dimensional slice view representing the slices and rows of the given column.
viewColumnFlip() - Method in class cern.colt.matrix.DoubleMatrix2D
Constructs and returns a new flip view along the column axis.
viewColumnFlip() - Method in class cern.colt.matrix.DoubleMatrix3D
Constructs and returns a new flip view along the column axis.
viewColumnFlip() - Method in class cern.colt.matrix.ObjectMatrix2D
Constructs and returns a new flip view along the column axis.
viewColumnFlip() - Method in class cern.colt.matrix.ObjectMatrix3D
Constructs and returns a new flip view along the column axis.
viewDice() - Method in class cern.colt.matrix.DoubleMatrix2D
Constructs and returns a new dice (transposition) view; Swaps axes; example: 3 x 4 matrix --> 4 x 3 matrix.
viewDice(int, int, int) - Method in class cern.colt.matrix.DoubleMatrix3D
Constructs and returns a new dice view; Swaps dimensions (axes); Example: 3 x 4 x 5 matrix --> 4 x 3 x 5 matrix.
viewDice() - Method in class cern.colt.matrix.ObjectMatrix2D
Constructs and returns a new dice (transposition) view; Swaps axes; example: 3 x 4 matrix --> 4 x 3 matrix.
viewDice(int, int, int) - Method in class cern.colt.matrix.ObjectMatrix3D
Constructs and returns a new dice view; Swaps dimensions (axes); Example: 3 x 4 x 5 matrix --> 4 x 3 x 5 matrix.
viewFlip() - Method in class cern.colt.matrix.DoubleMatrix1D
Constructs and returns a new flip view.
viewFlip() - Method in class cern.colt.matrix.ObjectMatrix1D
Constructs and returns a new flip view.
viewHisto(boolean) - Method in class jhplot.HPlot
If true, then this suppresses all negative values in Y, i.e.
viewPart(int, int) - Method in class cern.colt.matrix.DoubleMatrix1D
Constructs and returns a new sub-range view that is a width sub matrix starting at index.
viewPart(int, int, int, int) - Method in class cern.colt.matrix.DoubleMatrix2D
Constructs and returns a new sub-range view that is a height x width sub matrix starting at [row,column].
viewPart(int, int, int, int, int, int) - Method in class cern.colt.matrix.DoubleMatrix3D
Constructs and returns a new sub-range view that is a depth x height x width sub matrix starting at [slice,row,column]; Equivalent to view().part(slice,row,column,depth,height,width); Provided for convenience only.
viewPart(int, int) - Method in class cern.colt.matrix.ObjectMatrix1D
Constructs and returns a new sub-range view that is a width sub matrix starting at index.
viewPart(int, int, int, int) - Method in class cern.colt.matrix.ObjectMatrix2D
Constructs and returns a new sub-range view that is a height x width sub matrix starting at [row,column].
viewPart(int, int, int, int, int, int) - Method in class cern.colt.matrix.ObjectMatrix3D
Constructs and returns a new sub-range view that is a depth x height x width sub matrix starting at [slice,row,column]; Equivalent to view().part(slice,row,column,depth,height,width); Provided for convenience only.
viewRow(int) - Method in class cern.colt.matrix.DoubleMatrix2D
Constructs and returns a new slice view representing the columns of the given row.
viewRow(int) - Method in class cern.colt.matrix.DoubleMatrix3D
Constructs and returns a new 2-dimensional slice view representing the slices and columns of the given row.
viewRow(int) - Method in class cern.colt.matrix.ObjectMatrix2D
Constructs and returns a new slice view representing the columns of the given row.
viewRow(int) - Method in class cern.colt.matrix.ObjectMatrix3D
Constructs and returns a new 2-dimensional slice view representing the slices and columns of the given row.
viewRowFlip() - Method in class cern.colt.matrix.DoubleMatrix2D
Constructs and returns a new flip view along the row axis.
viewRowFlip() - Method in class cern.colt.matrix.DoubleMatrix3D
Constructs and returns a new flip view along the row axis.
viewRowFlip() - Method in class cern.colt.matrix.ObjectMatrix2D
Constructs and returns a new flip view along the row axis.
viewRowFlip() - Method in class cern.colt.matrix.ObjectMatrix3D
Constructs and returns a new flip view along the row axis.
viewSample(DoubleMatrix1D, double, RandomEngine) - Static method in class cern.colt.matrix.doublealgo.Statistic
Constructs and returns a sampling view with a size of round(matrix.size() * fraction).
viewSample(DoubleMatrix2D, double, double, RandomEngine) - Static method in class cern.colt.matrix.doublealgo.Statistic
Constructs and returns a sampling view with round(matrix.rows() * rowFraction) rows and round(matrix.columns() * columnFraction) columns.
viewSample(DoubleMatrix3D, double, double, double, RandomEngine) - Static method in class cern.colt.matrix.doublealgo.Statistic
Constructs and returns a sampling view with round(matrix.slices() * sliceFraction) slices and round(matrix.rows() * rowFraction) rows and round(matrix.columns() * columnFraction) columns.
viewSelection(int[]) - Method in class cern.colt.matrix.DoubleMatrix1D
Constructs and returns a new selection view that is a matrix holding the indicated cells.
viewSelection(DoubleProcedure) - Method in class cern.colt.matrix.DoubleMatrix1D
Constructs and returns a new selection view that is a matrix holding the cells matching the given condition.
viewSelection(int[], int[]) - Method in class cern.colt.matrix.DoubleMatrix2D
Constructs and returns a new selection view that is a matrix holding the indicated cells.
viewSelection(DoubleMatrix1DProcedure) - Method in class cern.colt.matrix.DoubleMatrix2D
Constructs and returns a new selection view that is a matrix holding all rows matching the given condition.
viewSelection(int[], int[], int[]) - Method in class cern.colt.matrix.DoubleMatrix3D
Constructs and returns a new selection view that is a matrix holding the indicated cells.
viewSelection(DoubleMatrix2DProcedure) - Method in class cern.colt.matrix.DoubleMatrix3D
Constructs and returns a new selection view that is a matrix holding all slices matching the given condition.
viewSelection(int[]) - Method in class cern.colt.matrix.ObjectMatrix1D
Constructs and returns a new selection view that is a matrix holding the indicated cells.
viewSelection(ObjectProcedure) - Method in class cern.colt.matrix.ObjectMatrix1D
Constructs and returns a new selection view that is a matrix holding the cells matching the given condition.
viewSelection(int[], int[]) - Method in class cern.colt.matrix.ObjectMatrix2D
Constructs and returns a new selection view that is a matrix holding the indicated cells.
viewSelection(ObjectMatrix1DProcedure) - Method in class cern.colt.matrix.ObjectMatrix2D
Constructs and returns a new selection view that is a matrix holding all rows matching the given condition.
viewSelection(int[], int[], int[]) - Method in class cern.colt.matrix.ObjectMatrix3D
Constructs and returns a new selection view that is a matrix holding the indicated cells.
viewSelection(ObjectMatrix2DProcedure) - Method in class cern.colt.matrix.ObjectMatrix3D
Constructs and returns a new selection view that is a matrix holding all slices matching the given condition.
viewSlice(int) - Method in class cern.colt.matrix.DoubleMatrix3D
Constructs and returns a new 2-dimensional slice view representing the rows and columns of the given slice.
viewSlice(int) - Method in class cern.colt.matrix.ObjectMatrix3D
Constructs and returns a new 2-dimensional slice view representing the rows and columns of the given slice.
viewSliceFlip() - Method in class cern.colt.matrix.DoubleMatrix3D
Constructs and returns a new flip view along the slice axis.
viewSliceFlip() - Method in class cern.colt.matrix.ObjectMatrix3D
Constructs and returns a new flip view along the slice axis.
viewSorted() - Method in class cern.colt.matrix.DoubleMatrix1D
Sorts the vector into ascending order, according to the natural ordering.
viewSorted(int) - Method in class cern.colt.matrix.DoubleMatrix2D
Sorts the matrix rows into ascending order, according to the natural ordering of the matrix values in the given column.
viewSorted(int, int) - Method in class cern.colt.matrix.DoubleMatrix3D
Sorts the matrix slices into ascending order, according to the natural ordering of the matrix values in the given [row,column] position.
viewSorted() - Method in class cern.colt.matrix.ObjectMatrix1D
Sorts the vector into ascending order, according to the natural ordering.
viewSorted(int) - Method in class cern.colt.matrix.ObjectMatrix2D
Sorts the matrix rows into ascending order, according to the natural ordering of the matrix values in the given column.
viewSorted(int, int) - Method in class cern.colt.matrix.ObjectMatrix3D
Sorts the matrix slices into ascending order, according to the natural ordering of the matrix values in the given [row,column] position.
viewStrides(int) - Method in class cern.colt.matrix.DoubleMatrix1D
Constructs and returns a new stride view which is a sub matrix consisting of every i-th cell.
viewStrides(int, int) - Method in class cern.colt.matrix.DoubleMatrix2D
Constructs and returns a new stride view which is a sub matrix consisting of every i-th cell.
viewStrides(int, int, int) - Method in class cern.colt.matrix.DoubleMatrix3D
Constructs and returns a new stride view which is a sub matrix consisting of every i-th cell.
viewStrides(int) - Method in class cern.colt.matrix.ObjectMatrix1D
Constructs and returns a new stride view which is a sub matrix consisting of every i-th cell.
viewStrides(int, int) - Method in class cern.colt.matrix.ObjectMatrix2D
Constructs and returns a new stride view which is a sub matrix consisting of every i-th cell.
viewStrides(int, int, int) - Method in class cern.colt.matrix.ObjectMatrix3D
Constructs and returns a new stride view which is a sub matrix consisting of every i-th cell.
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.HPlot3D
Show or not the canvas
volatilityLogChange(double[]) - Static method in class flanagan.analysis.Stat
 
volatilityLogChange(float[]) - Static method in class flanagan.analysis.Stat
 
volatilityPerCentChange(double[]) - Static method in class flanagan.analysis.Stat
 
volatilityPerCentChange(float[]) - Static method in class flanagan.analysis.Stat
 
volt - Static variable in class cern.clhep.Units
 
volume() - Method in class hep.aida.ref.function.Grid
 
VonMises - Class in cern.jet.random
Von Mises distribution.
VonMises(double, RandomEngine) - Constructor for class cern.jet.random.VonMises
Constructs a Von Mises distribution.

W

watt - Static variable in class cern.clhep.Units
 
weber - Static variable in class cern.clhep.Units
 
weibull() - Method in class flanagan.analysis.Regression
 
weibull(double, double, double, double) - Static method in class flanagan.analysis.Stat
 
weibullArray(double, double, double, int) - Method in class flanagan.math.PsRandom
 
weibullCDF(double, double, double, double) - Static method in class flanagan.analysis.Stat
 
weibullCDF(double, double, double, double, double) - Static method in class flanagan.analysis.Stat
 
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.
weibullMean(double, double, double) - Static method in class flanagan.analysis.Stat
 
weibullMedian(double, double, double) - Static method in class flanagan.analysis.Stat
 
weibullMode(double, double, double) - Static method in class flanagan.analysis.Stat
 
weibullPDF(double, double, double, double) - Static method in class flanagan.analysis.Stat
 
weibullPlot() - Method in class flanagan.analysis.Regression
 
weibullProb(double, double, double, double) - Static method in class flanagan.analysis.Stat
 
weibullProb(double, double, double, double, double) - Static method in class flanagan.analysis.Stat
 
weibullRand(double, double, double, int) - Static method in class flanagan.analysis.Stat
 
weibullRand(double, double, double, int, long) - Static method in class flanagan.analysis.Stat
 
weibullStandard() - Method in class flanagan.analysis.Regression
 
weibullStandardPlot() - Method in class flanagan.analysis.Regression
 
weibullStandDev(double, double) - Static method in class flanagan.analysis.Stat
 
weibullTwoPar() - Method in class flanagan.analysis.Regression
 
weibullTwoParPlot() - Method in class flanagan.analysis.Regression
 
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.
weightedMean(DoubleArrayList, DoubleArrayList) - Static method in class cern.jet.stat.Descriptive
Returns the weighted mean of a data sequence.
weightedMean(String, IDataPointSet, IDataPointSet) - Method in class hep.aida.ref.histogram.DataPointSetFactory
 
WeightedRandomSampler - Class in cern.jet.random.sampling
Conveniently computes a stable subsequence of elements from a given input sequence; Picks (samples) exactly one random element from successive blocks of weight input elements each.
WeightedRandomSampler() - Constructor for class cern.jet.random.sampling.WeightedRandomSampler
Calls BlockedRandomSampler(1,null).
WeightedRandomSampler(int, RandomEngine) - Constructor for class cern.jet.random.sampling.WeightedRandomSampler
Chooses exactly one random element from successive blocks of weight input elements each.
weightedRMS(double, double) - Static method in class cern.jet.stat.Descriptive
Returns the weighted RMS (Root-Mean-Square) of a data sequence.
winsorizedMean(DoubleArrayList, double, int, int) - Static method in class cern.jet.stat.Descriptive
Returns the winsorized mean of a sorted data sequence.
write(String) - Method in class jhplot.HPlot
Write HPlot file and inserts graphs to the main frame.

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
 
xminimum() - Method in class cern.colt.list.MinMaxNumberList
Deprecated.  
xor(BitMatrix) - Method in class cern.colt.bitvector.BitMatrix
Performs a logical XOR of the receiver with another bit matrix.
xor(BitVector) - Method in class cern.colt.bitvector.BitVector
Performs a logical XOR of the receiver with another bit vector (A = A ^ B).
xor - Static variable in class cern.jet.math.IntFunctions
Function that returns a ^ b.
xor(int) - Static method in class cern.jet.math.IntFunctions
Constructs a function that returns a | b.
Xpos - Static variable in class jhplot.JHPlot
 

Y

y0(double) - Static method in class cern.jet.math.Bessel
Returns the Bessel function of the second kind of order 0 of the argument.
y1(double) - Static method in class cern.jet.math.Bessel
Returns the Bessel function of the second kind of order 1 of the argument.
yardToMetre(double) - Static method in class flanagan.math.Fmath
 
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
 
yn(int, double) - Static method in class cern.jet.math.Bessel
Returns the Bessel function of the second kind of order n of the argument.
Ypos - Static variable in class jhplot.JHPlot
 

Z

zAssign27Neighbors(DoubleMatrix3D, Double27Function) - Method in class cern.colt.matrix.DoubleMatrix3D
27 neighbor stencil transformation.
zAssign27Neighbors(DoubleMatrix3D, Double27Function) - Method in class cern.colt.matrix.impl.DenseDoubleMatrix3D
27 neighbor stencil transformation.
zAssign8Neighbors(DoubleMatrix2D, Double9Function) - Method in class cern.colt.matrix.DoubleMatrix2D
8 neighbor stencil transformation.
zAssign8Neighbors(DoubleMatrix2D, Double9Function) - Method in class cern.colt.matrix.impl.DenseDoubleMatrix2D
8 neighbor stencil transformation.
zAxis() - Method in class hep.aida.ref.histogram.Histogram3D
Get the Z axis.
zdemo1() - Static method in class cern.colt.matrix.doublealgo.Sorting
Demonstrates advanced sorting.
zdemo2() - Static method in class cern.colt.matrix.doublealgo.Sorting
Demonstrates advanced sorting.
zdemo3() - Static method in class cern.colt.matrix.doublealgo.Sorting
Demonstrates advanced sorting.
zdemo5(int, int, boolean) - Static method in class cern.colt.matrix.doublealgo.Sorting
Demonstrates sorting with precomputation of aggregates (median and sum of logarithms).
zdemo6() - Static method in class cern.colt.matrix.doublealgo.Sorting
Demonstrates advanced sorting.
zdemo7(int, int, boolean) - Static method in class cern.colt.matrix.doublealgo.Sorting
Demonstrates sorting with precomputation of aggregates, comparing mergesort with quicksort.
zDotProduct(DoubleMatrix1D) - Method in class cern.colt.matrix.DoubleMatrix1D
Returns the dot product of two vectors x and y, which is Sum(x[i]*y[i]).
zDotProduct(DoubleMatrix1D, int, int) - Method in class cern.colt.matrix.DoubleMatrix1D
Returns the dot product of two vectors x and y, which is Sum(x[i]*y[i]).
zDotProduct(DoubleMatrix1D, int, int, IntArrayList) - Method in class cern.colt.matrix.DoubleMatrix1D
Returns the dot product of two vectors x and y, which is Sum(x[i]*y[i]).
zDotProduct(DoubleMatrix1D, int, int) - Method in class cern.colt.matrix.impl.DenseDoubleMatrix1D
Returns the dot product of two vectors x and y, which is Sum(x[i]*y[i]).
ZERO - Static variable in class cern.colt.matrix.linalg.Algebra
A default Algebra object; has Property.ZERO attached for tolerance.
ZERO - Static variable in class cern.colt.matrix.linalg.Property
A Property object with tolerance()==0.0.
zero() - Static method in class flanagan.analysis.ErrorProp
 
zero(int, int) - Static method in class flanagan.interpolation.BiCubicSpline
 
zero(int) - Static method in class flanagan.interpolation.CubicSpline
 
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.Fraction
A fraction representing "0 / 1".
Zeta - Class in cern.jet.random
Zeta distribution.
Zeta(double, double, RandomEngine) - Constructor for class cern.jet.random.Zeta
Constructs a Zeta distribution.
zMult(DoubleMatrix1D, DoubleMatrix1D) - Method in class cern.colt.matrix.DoubleMatrix2D
Linear algebraic matrix-vector multiplication; z = A * y; Equivalent to return A.zMult(y,z,1,0);
zMult(DoubleMatrix1D, DoubleMatrix1D, double, double, boolean) - Method in class cern.colt.matrix.DoubleMatrix2D
Linear algebraic matrix-vector multiplication; z = alpha * A * y + beta*z.
zMult(DoubleMatrix2D, DoubleMatrix2D) - Method in class cern.colt.matrix.DoubleMatrix2D
Linear algebraic matrix-matrix multiplication; C = A x B; Equivalent to A.zMult(B,C,1,0,false,false).
zMult(DoubleMatrix2D, DoubleMatrix2D, double, double, boolean, boolean) - Method in class cern.colt.matrix.DoubleMatrix2D
Linear algebraic matrix-matrix multiplication; C = alpha * A x B + beta*C.
zMult(DoubleMatrix1D, DoubleMatrix1D, double, double, boolean) - Method in class cern.colt.matrix.impl.DenseDoubleMatrix2D
 
zMult(DoubleMatrix2D, DoubleMatrix2D, double, double, boolean, boolean) - Method in class cern.colt.matrix.impl.DenseDoubleMatrix2D
 
zMult(DoubleMatrix1D, DoubleMatrix1D, double, double, boolean) - Method in class cern.colt.matrix.impl.RCDoubleMatrix2D
 
zMult(DoubleMatrix2D, DoubleMatrix2D, double, double, boolean, boolean) - Method in class cern.colt.matrix.impl.RCDoubleMatrix2D
 
zMult(DoubleMatrix1D, DoubleMatrix1D, double, double, boolean) - Method in class cern.colt.matrix.impl.SparseDoubleMatrix2D
 
zMult(DoubleMatrix2D, DoubleMatrix2D, double, double, boolean, boolean) - Method in class cern.colt.matrix.impl.SparseDoubleMatrix2D
 
zSum() - Method in class cern.colt.matrix.DoubleMatrix1D
Returns the sum of all cells; Sum( x[i] ).
zSum() - Method in class cern.colt.matrix.DoubleMatrix2D
Returns the sum of all cells; Sum( x[i,j] ).
zSum() - Method in class cern.colt.matrix.DoubleMatrix3D
Returns the sum of all cells; Sum( x[i,j,k] ).
zSum() - Method in class cern.colt.matrix.impl.DenseDoubleMatrix1D
Returns the sum of all cells; Sum( x[i] ).
zSum() - Method in class cern.colt.matrix.impl.DenseDoubleMatrix2D
Returns the sum of all cells; Sum( x[i,j] ).

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

jHepWork 1.1 (C) Chekanov