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See:
Description
Packages | |
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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 | |
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.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. |
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. |
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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