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Description
| Packages | |
|---|---|
| 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. |
| corejava | C-like number formatting that follows printf conventions. |
| flanagan.analysis | |
| flanagan.integration | |
| flanagan.interpolation | |
| flanagan.math | |
| hep.aida | |
| hep.aida.ext | |
| 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.jel | |
| hep.aida.ref.optimizer | |
| hep.aida.ref.optimizer.fmin | |
| hep.aida.ref.optimizer.minpack | |
| hep.aida.ref.optimizer.uncmin | |
| hep.aida.ref.plotter | |
| hep.aida.ref.plotter.adapter | |
| hep.aida.ref.plotter.style.editor | |
| hep.aida.ref.plotter.style.registry | |
| hep.aida.ref.tree | |
| hep.aida.ref.tuple | |
| hep.aida.ref.xml | |
| 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. |
| hep.aida.util | |
| hep.aida.util.comparison | |
| hephysics.matrix | Simple matrix package. |
| hephysics.particle | Define various Lorentz-type particles. |
| hephysics.vec | Lorentz-type vectors and transformations. |
| ij | |
| ij.io | |
| ij.macro | |
| ij.measure | |
| ij.plugin | |
| ij.plugin.filter | |
| ij.plugin.frame | |
| ij.process | |
| ij.text | |
| ij.util | |
| 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.utils | Useful classes for verious manipulations and integration with jHepWork |
| jhplot.v3d | Main jHepWork 3D geometry package. |
| jhpro.stat | |
| jhpro.stat.limit | |
| jhpro.test | |
| jminhep.cluster | jHepWork package for a cluster analysis. |
| jsci | Java Science (JSci) library for different scientific fields (Physics, Math, Biology, Chemistry). |
| jsci.astro | Java library for astronomy / astrophysics |
| jsci.biology | Calculations for biology |
| jsci.chemistry | Java calculations for chemistry |
| jsci.chemistry.periodictable | |
| jsci.maths | Java library for mathematics. |
| jsci.maths.algebras | This package contains the interfaces for modules, vector spaces, and algebras. |
| jsci.maths.analysis | |
| jsci.maths.categories | |
| jsci.maths.chaos | Contains some chaotic maps. |
| jsci.maths.fields | This package contains the interfaces for rings and fields. |
| jsci.maths.groups | This package contains the interfaces for semigroups, monoids, and groups. |
| jsci.maths.matrices | Matrix and Vector classes. |
| jsci.maths.polynomials | |
| jsci.maths.symbolic | |
| jsci.maths.vectors | |
| jsci.maths.wavelet | Java library for Wavelets. |
| jsci.maths.wavelet.cdf2_4 | |
| jsci.maths.wavelet.cdf3_5 | |
| jsci.maths.wavelet.daubechies2 | |
| jsci.maths.wavelet.daubechies3 | |
| jsci.maths.wavelet.daubechies4 | |
| jsci.maths.wavelet.daubechies5 | |
| jsci.maths.wavelet.daubechies6 | |
| jsci.maths.wavelet.daubechies7 | |
| jsci.maths.wavelet.daubechies8 | |
| jsci.maths.wavelet.haar | Haar wavelets have compact support and are not continuously differentiable. |
| jsci.maths.wavelet.splines | Linear splines have infinite support and are continuous. |
| jsci.maths.wavelet.symmlet8 | |
| jsci.physics | The physics package. |
| jsci.physics.particles | This package contains classes that represent the fundamental particles. |
| jsci.physics.quantum | Quantum package. |
| jsci.physics.relativity | This is based on the index-free notation of differential geometry. |
| jsci.util | |
| 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 (jWork) is an interactive environment for scientific computation, data analysis and data visualization designed for scientists, engineers and students. jHepWork is fully multiplatform since it is a 100% pure Java package. It runs on any platform where Java is installed.
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