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Description
Packages | |
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cern.clhep | A Java port of CLHEP 1.4.0 (C++) - A Class Library for High Energy Physics. |
cern.colt | Core base classes; Operations on primitive arrays such as sorting, partitioning and permuting. |
cern.colt.bitvector | Bit vectors and bit matrices. |
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.buffer.tboolean | Fixed sized (non resizable) streaming buffers holding boolean elements connected to a target objects to which data is automatically flushed upon buffer overflow. |
cern.colt.buffer.tbyte | Fixed sized (non resizable) streaming buffers holding byte elements connected to a target objects to which data is automatically flushed upon buffer overflow. |
cern.colt.buffer.tchar | Fixed sized (non resizable) streaming buffers holding char elements connected to a target objects to which data is automatically flushed upon buffer overflow. |
cern.colt.buffer.tdouble | Fixed sized (non resizable) streaming buffers holding double elements connected to a target objects to which data is automatically flushed upon buffer overflow. |
cern.colt.buffer.tfloat | Fixed sized (non resizable) streaming buffers holding float elements connected to a target objects to which data is automatically flushed upon buffer overflow. |
cern.colt.buffer.tint | Fixed sized (non resizable) streaming buffers holding int elements connected to a target objects to which data is automatically flushed upon buffer overflow. |
cern.colt.buffer.tlong | Fixed sized (non resizable) streaming buffers holding long elements connected to a target objects to which data is automatically flushed upon buffer overflow. |
cern.colt.buffer.tobject | Fixed sized (non resizable) streaming buffers holding Object elements connected to a target objects to which data is automatically flushed upon buffer overflow. |
cern.colt.buffer.tshort | Fixed sized (non resizable) streaming buffers holding short elements connected to a target objects to which data is automatically flushed upon buffer overflow. |
cern.colt.function | Core interfaces for functions, comparisons and procedures on objects and primitive data types. |
cern.colt.function.tboolean | Core interfaces for functions, comparisons and procedures on boolean data type. |
cern.colt.function.tbyte | Core interfaces for functions, comparisons and procedures on byte data type. |
cern.colt.function.tchar | Core interfaces for functions, comparisons and procedures on char data type. |
cern.colt.function.tdcomplex | Core interfaces for functions, comparisons and procedures on dcomplex data type. |
cern.colt.function.tdouble | Core interfaces for functions, comparisons and procedures on double data type. |
cern.colt.function.tfcomplex | Core interfaces for functions, comparisons and procedures on fcomplex data type. |
cern.colt.function.tfloat | Core interfaces for functions, comparisons and procedures on float data type. |
cern.colt.function.tint | Core interfaces for functions, comparisons and procedures on int data type. |
cern.colt.function.tlong | Core interfaces for functions, comparisons and procedures on long data type. |
cern.colt.function.tobject | Core interfaces for functions, comparisons and procedures on Object data type. |
cern.colt.function.tshort | Core interfaces for functions, comparisons and procedures on short data type. |
cern.colt.list | Resizable lists holding objects or primitive data types such as int, double, etc. |
cern.colt.list.adapter | List adapters that make Colt lists compatible with the JDK 1.2 Collections Framework. |
cern.colt.list.tboolean | Resizable list holding elements of boolean data type. |
cern.colt.list.tbyte | Resizable list holding elements of byte data type. |
cern.colt.list.tchar | Resizable list holding elements of char data type. |
cern.colt.list.tdouble | Resizable list holding elements of double data type. |
cern.colt.list.tfloat | Resizable list holding elements of float data type. |
cern.colt.list.tint | Resizable list holding elements of int data type. |
cern.colt.list.tlong | Resizable list holding elements of long data type. |
cern.colt.list.tobject | Resizable list holding elements of Object data type. |
cern.colt.list.tshort | Resizable list holding elements of short data type. |
cern.colt.map | Automatically growing and shrinking maps holding objects or primitive data types such as int, double, etc. |
cern.colt.map.tdouble | Automatically growing and shrinking map holding elements of double data type. |
cern.colt.map.tfloat | Automatically growing and shrinking map holding elements of float data type. |
cern.colt.map.tint | Automatically growing and shrinking map holding elements of int data type. |
cern.colt.map.tlong | Automatically growing and shrinking map holding elements of long data type. |
cern.colt.map.tobject | Automatically growing and shrinking map holding elements of Object data type. |
cern.colt.matrix | |
cern.colt.matrix.bench | Matrix benchmarks. |
cern.colt.matrix.doublealgo | Double matrix algorithms such as print formatting, sorting, partitioning and statistics. |
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.io | I/O operations with matrices and vectors. |
cern.colt.matrix.linalg | Linear Algebraic matrix computations operating on DoubleMatrix2D
and DoubleMatrix1D . |
cern.colt.matrix.objectalgo | Object matrix algorithms such as print formatting, sorting, partitioning and statistics. |
cern.colt.matrix.tbit | Bit vectors and bit matrices. |
cern.colt.matrix.tdcomplex | Matrix interfaces and factories holding elements of dcomplex data type. |
cern.colt.matrix.tdcomplex.algo | Algorithms operating on complex matrices. |
cern.colt.matrix.tdcomplex.impl | Efficient and flexible dense and sparse 1, 2 and 3-dimensional matrices holding elements of dcomplex data type. |
cern.colt.matrix.tdouble | Matrix interfaces and factories holding elements of double data type. |
cern.colt.matrix.tdouble.algo | Linear Algebraic matrix computations operating on DoubleMatrix2D
and DoubleMatrix1D . |
cern.colt.matrix.tdouble.algo.decomposition | Martrix decompositions. |
cern.colt.matrix.tdouble.algo.solver | Iterative solvers BiCG - BiConjugate gradients. BiCGstab - BiConjugate gradients stabilized. CG - Conjugate gradients. CGS - Conjugate gradients squared. Chebyshev - The Chebyshev iteration for symmetrical, positive definite matrices. GMRES - Generalized minimal residual using restart. IR - Iterative refinement (Richardson's method). QMR - Quasi-minimal residual. HyBR - Hybrid Bidiagonalization Regularization. MRNSD - Modified Residual Norm Steepest Descent. CGLS - Conjugate Gradient for Least Squares. |
cern.colt.matrix.tdouble.algo.solver.preconditioner | Preconditioners for iterative solvers. |
cern.colt.matrix.tdouble.impl | Efficient and flexible dense and sparse 1, 2 and 3-dimensional matrices holding elements of double data type. |
cern.colt.matrix.tfcomplex | Matrix interfaces and factories holding elements of fcomplex data type. |
cern.colt.matrix.tfcomplex.algo | Algorithms operating on complex matrices. |
cern.colt.matrix.tfcomplex.impl | Efficient and flexible dense and sparse 1, 2 and 3-dimensional matrices holding elements of fcomplex data type. |
cern.colt.matrix.tfloat | Matrix interfaces and factories holding elements of float data type. |
cern.colt.matrix.tfloat.algo | Linear Algebraic matrix computations operating on FloatMatrix2D
and FloatMatrix1D . |
cern.colt.matrix.tfloat.algo.decomposition | Martrix decompositions. |
cern.colt.matrix.tfloat.algo.solver | Iterative solvers BiCG - BiConjugate gradients. BiCGstab - BiConjugate gradients stabilized. CG - Conjugate gradients. CGS - Conjugate gradients squared. Chebyshev - The Chebyshev iteration for symmetrical, positive definite matrices. GMRES - Generalized minimal residual using restart. IR - Iterative refinement (Richardson's method). QMR - Quasi-minimal residual. HyBR - Hybrid Bidiagonalization Regularization. MRNSD - Modified Residual Norm Steepest Descent. CGLS - Conjugate Gradient for Least Squares. |
cern.colt.matrix.tfloat.algo.solver.preconditioner | Preconditioners for iterative solvers. |
cern.colt.matrix.tfloat.impl | Efficient and flexible dense and sparse 1, 2 and 3-dimensional matrices holding elements of float data type. |
cern.colt.matrix.tint | Matrix interfaces and factories holding elements of int data type. |
cern.colt.matrix.tint.algo | Algorithms operating on integer matrices. |
cern.colt.matrix.tint.impl | Efficient and flexible dense and sparse 1, 2 and 3-dimensional matrices holding elements of int data type. |
cern.colt.matrix.tlong | Matrix interfaces and factories holding elements of long data type. |
cern.colt.matrix.tlong.algo | Algorithms operating on long integer matrices. |
cern.colt.matrix.tlong.impl | Efficient and flexible dense and sparse 1, 2 and 3-dimensional matrices holding elements of long data type. |
cern.colt.matrix.tobject | Matrix interfaces and factories holding elements of Object data type. |
cern.colt.matrix.tobject.algo | Object matrix algorithms such as print formatting, sorting, partitioning and statistics. |
cern.colt.matrix.tobject.impl | Efficient and flexible dense and sparse 1, 2 and 3-dimensional matrices holding elements of Object data type. |
cern.hep.aida.bin | Multisets (bags) with efficient statistics operations defined upon; This package requires the Colt distribution. |
cern.hep.aida.ref | Reference implementation of the AIDA histogram interfaces. |
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.math.tdcomplex | Tools for basic and advanced mathematics: Arithmetics and Function Objects for generic function evaluation operating on dcomplex data type. |
cern.jet.math.tdouble | 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.math.tfcomplex | Tools for basic and advanced mathematics: Arithmetics and Function Objects for generic function evaluation operating on fcomplex data type. |
cern.jet.math.tfloat | Tools for basic and advanced mathematics: Arithmetics and Function Objects for generic function evaluation operating on float data type. |
cern.jet.math.tint | Tools for basic and advanced mathematics: Arithmetics and Function Objects for generic function evaluation operating on int data type. |
cern.jet.math.tlong | Tools for basic and advanced mathematics: Arithmetics and Function Objects for generic function evaluation operating on long data type. |
cern.jet.random | Large variety of probability distributions featuring high performance generation of random numbers, CDF's and PDF's. |
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 | Samples (picks) random subsets of data sequences. |
cern.jet.random.tdouble | Large variety of probability distributions featuring high performance generation of random numbers, CDF's and PDF's. |
cern.jet.random.tdouble.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.tdouble.sampling | Samples (picks) random subsets of data sequences. |
cern.jet.random.tfloat | Large variety of probability distributions featuring high performance generation of random numbers, CDF's and PDF's. |
cern.jet.random.tfloat.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.tfloat.sampling | Samples (picks) random subsets of data sequences. |
cern.jet.stat | Tools for basic and advanced statistics: Estimators, Gamma functions, Beta functions, Probabilities, Special integrals, etc. |
cern.jet.stat.quantile | Scalable algorithms and data structures to compute approximate quantiles over very large data sequences. |
cern.jet.stat.tdouble | Tools for basic and advanced statistics: Estimators, Gamma functions, Beta functions, Probabilities, Special integrals, etc. |
cern.jet.stat.tdouble.quantile | Scalable algorithms and data structures to compute approximate quantiles over very large data sequences. |
cern.jet.stat.tfloat | Tools for basic and advanced statistics: Estimators, Gamma functions, Beta functions, Probabilities, Special integrals, etc. |
cern.jet.stat.tfloat.quantile | Scalable algorithms and data structures to compute approximate quantiles over very large data sequences. |
flanagan.analysis | |
flanagan.integration | |
flanagan.interpolation | |
flanagan.math | |
hep.aida.ref | Reference implementation of AIDA (see documentation). |
hep.aida.ref.dataset | |
hep.aida.ref.dataset.binner | |
hep.aida.ref.event | |
hep.aida.ref.fitter | |
hep.aida.ref.fitter.fitdata | |
hep.aida.ref.fitter.fitmethod | |
hep.aida.ref.function | |
hep.aida.ref.function.examples | |
hep.aida.ref.histogram | |
hep.aida.ref.histogram.binner | |
hep.aida.ref.tree | |
hep.aida.ref.tuple | |
hep.aida.tdouble | Interfaces for compact, extensible, modular and performant histogramming functionality. |
hep.aida.tdouble.bin | Multisets (bags) with efficient statistics operations defined upon; This package requires the Colt distribution. |
hep.aida.tdouble.ref | Reference implementation of the AIDA histogram interfaces. |
hep.aida.tfloat | Interfaces for compact, extensible, modular and performant histogramming functionality. |
hep.aida.tfloat.bin | Multisets (bags) with efficient statistics operations defined upon; This package requires the Colt distribution. |
hep.aida.tfloat.ref | Reference implementation of the AIDA histogram interfaces. |
hephysics.matrix | Simple matrix package. |
hephysics.particle | Define various Lorentz-type particles. |
hephysics.vec | Lorentz-type vectors and transformations. |
jhplot | Main jHepWork numerical and graphical package |
jhplot.bsom | Bayesian Self-Organizing Maps |
jhplot.fit | Predefined fit functions for the fit panel (HFit). |
jhplot.io | jHPlot IO classes |
jhplot.io.csv | A very simple CSV parser for Java released under a commercial-friendly license. |
jhplot.io.csv.bean | A simple bean binding interface for use with opencsv. |
jhplot.io.sqlite | SQLite3 database support |
jhplot.jadraw | Main JaPlot classes for plots and diagrams |
jhplot.math | Math calculations and random numbers. |
jhplot.math.io | IO package for math (based on jmathtools). |
jhplot.math.num | Common classes used throughout numerics4j. |
jhplot.math.num.integration | Function interfaces. |
jhplot.math.num.pdf | Statistical distributions. |
jhplot.math.num.random | Random number generators and random variable generators. |
jhplot.math.num.root | Function interfaces. |
jhplot.math.num.special | Elementary functions not provided by the Java™. |
jhplot.root | Access to ROOT files (based on Tony Johnson's RootHistogramBrowser). |
jhplot.security | MD5 hash for objects or data files |
jhplot.shapes | jHepWork package to draw java 2D primitives |
jhplot.stat | Statistical calculations: fluctuations, linear regression etc. |
jhplot.v3d | Main jHepWork 3D geometry package. |
jhpro.stat | |
jhpro.stat.limit | |
jhpro.test | |
jminhep.cluster | jHepWork package for a cluster analysis. |
org.apache.commons.math | Common classes used throughout the commons-math library. |
org.apache.commons.math.analysis | Parent package for common numerical analysis procedures, including root finding, function interpolation and integration. |
org.apache.commons.math.analysis.integration | Numerical integration (quadrature) algorithms for univariate real functions. |
org.apache.commons.math.analysis.interpolation | Univariate real functions interpolation algorithms. |
org.apache.commons.math.analysis.polynomials | Univariate real polynomials implementations, seen as differentiable univariate real functions. |
org.apache.commons.math.analysis.solvers | Root finding algorithms, for univariate real functions. |
org.apache.commons.math.complex | Complex number type and implementations of complex transcendental functions. |
org.apache.commons.math.dfp | Decimal floating point library for Java |
org.apache.commons.math.distribution | Implementations of common discrete and continuous distributions. |
org.apache.commons.math.estimation | This package provided classes to solve estimation problems, it is deprecated since 2.0. |
org.apache.commons.math.exception | Specialized exceptions for algorithms errors. |
org.apache.commons.math.exception.util | Classes supporting exception localization. |
org.apache.commons.math.fraction | Fraction number type and fraction number formatting. |
org.apache.commons.math.genetics | This package provides Genetic Algorithms components and implementations. |
org.apache.commons.math.geometry | This package provides basic 3D geometry components. |
org.apache.commons.math.linear | Linear algebra support. |
org.apache.commons.math.ode | This package provides classes to solve Ordinary Differential Equations problems. |
org.apache.commons.math.ode.events | This package provides classes to handle discrete events occurring during Ordinary Differential Equations integration. |
org.apache.commons.math.ode.jacobians | This package was intended to solve Ordinary Differential Equations problems and also compute derivatives of the solution. |
org.apache.commons.math.ode.nonstiff | This package provides classes to solve non-stiff Ordinary Differential Equations problems. |
org.apache.commons.math.ode.sampling | This package provides classes to handle sampling steps during Ordinary Differential Equations integration. |
org.apache.commons.math.optimization | This package provides common interfaces for the optimization algorithms provided in sub-packages. |
org.apache.commons.math.optimization.direct | This package provides optimization algorithms that don't require derivatives. |
org.apache.commons.math.optimization.fitting | This package provides classes to perform curve fitting. |
org.apache.commons.math.optimization.general | This package provides optimization algorithms that require derivatives. |
org.apache.commons.math.optimization.linear | This package provides optimization algorithms for linear constrained problems. |
org.apache.commons.math.optimization.univariate | Univariate real functions minimum finding algorithms. |
org.apache.commons.math.random | Random number and random data generators. |
org.apache.commons.math.special | Implementations of special functions such as Beta and Gamma. |
org.apache.commons.math.stat | Data storage, manipulation and summary routines. |
org.apache.commons.math.stat.clustering | Clustering algorithms |
org.apache.commons.math.stat.correlation | Correlations/Covariance computations. |
org.apache.commons.math.stat.descriptive | Generic univariate summary statistic objects. |
org.apache.commons.math.stat.descriptive.moment | Summary statistics based on moments. |
org.apache.commons.math.stat.descriptive.rank | Summary statistics based on ranks. |
org.apache.commons.math.stat.descriptive.summary | Other summary statistics. |
org.apache.commons.math.stat.inference | Classes providing hypothesis testing and confidence interval construction. |
org.apache.commons.math.stat.ranking | Classes providing rank transformations. |
org.apache.commons.math.stat.regression | Statistical routines involving multivariate data. |
org.apache.commons.math.transform | Implementations of transform methods, including Fast Fourier transforms. |
org.apache.commons.math.util | Convenience routines and common data structures used throughout the commons-math library. |
org.netlib.arpack | |
org.netlib.blas | |
org.netlib.generate | |
org.netlib.lapack | |
org.netlib.utils | |
umontreal.iro.lecuyer.charts | |
umontreal.iro.lecuyer.functionfit | |
umontreal.iro.lecuyer.functions | |
umontreal.iro.lecuyer.gof | |
umontreal.iro.lecuyer.hups | |
umontreal.iro.lecuyer.probdist | |
umontreal.iro.lecuyer.probdistmulti | |
umontreal.iro.lecuyer.randvar | |
umontreal.iro.lecuyer.randvarmulti | |
umontreal.iro.lecuyer.rng | |
umontreal.iro.lecuyer.simevents | |
umontreal.iro.lecuyer.simevents.eventlist | |
umontreal.iro.lecuyer.simprocs | |
umontreal.iro.lecuyer.stat | |
umontreal.iro.lecuyer.stat.list | |
umontreal.iro.lecuyer.stochprocess | |
umontreal.iro.lecuyer.util |
jHepWork is a full-featured multiplatform data-analysis framework for scientists, engineers and students. jHepWork incorporates many open-source math software packages into a coherent interface using the concept of Java scripting, rather than only-GUI or macro-based concept.
jHepWork has a goal of creating a tool competitive to commercial scientific packages. The program can be used everywhere where an analysis of large numerical data volumes, data mining, statistical data analysis and mathematics are essential. The program can be used in natural sciences, engineering, modeling and analysis of financial markets.
jHepWork uses Jython, the Python language for the Java platform in order to call Java numerical and visualization libraries, which brings more power and simplicity for scientific computing. Other scripting languages (like BeanShell etc.) and, of course, Java itself, can also be used.
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