Apache Commons Math 4.0-SNAPSHOT

Package	Description
org.apache.commons.math4.core.jdkmath	Alternative to Math and StrictMath.
org.apache.commons.math4.legacy.analysis	Parent package for common numerical analysis procedures, including root finding, function interpolation and integration.
org.apache.commons.math4.legacy.analysis.differentiation	This package holds the main interfaces and basic building block classes dealing with differentiation.
org.apache.commons.math4.legacy.analysis.function	The function package contains function objects that wrap the methods contained in Math, as well as common mathematical functions such as the gaussian and sinc functions.
org.apache.commons.math4.legacy.analysis.integration	Numerical integration (quadrature) algorithms for univariate real functions.
org.apache.commons.math4.legacy.analysis.integration.gauss	Gauss family of quadrature schemes.
org.apache.commons.math4.legacy.analysis.interpolation	Univariate real functions interpolation algorithms.
org.apache.commons.math4.legacy.analysis.polynomials	Univariate real polynomials implementations, seen as differentiable univariate real functions.
org.apache.commons.math4.legacy.analysis.solvers	Root finding algorithms, for univariate real functions.
org.apache.commons.math4.legacy.core	Core math utilities.
org.apache.commons.math4.legacy.core.dfp	Decimal floating point library for Java
org.apache.commons.math4.legacy.distribution	Implementations of probability distributions.
org.apache.commons.math4.legacy.distribution.fitting	Fitting of parameters against distributions.
org.apache.commons.math4.legacy.exception	Specialized exceptions for algorithms errors.
org.apache.commons.math4.legacy.exception.util	Classes supporting exception localization.
org.apache.commons.math4.legacy.field	Utilities based on the Field functionality defined in Commons Numbers.
org.apache.commons.math4.legacy.field.linalg	Linear algebra defined in term of matrices whose entries are elements of a field.
org.apache.commons.math4.legacy.filter	Implementations of common discrete-time linear filters.
org.apache.commons.math4.legacy.fitting	Classes to perform curve fitting.
org.apache.commons.math4.legacy.fitting.leastsquares	This package provides algorithms that minimize the residuals between observations and model values.
org.apache.commons.math4.legacy.genetics	This package provides Genetic Algorithms components and implementations.
org.apache.commons.math4.legacy.linear	Linear algebra support.
org.apache.commons.math4.legacy.ml	Base package for machine learning algorithms.
org.apache.commons.math4.legacy.ml.clustering	Clustering algorithms.
org.apache.commons.math4.legacy.ml.clustering.evaluation	Cluster evaluation methods.
org.apache.commons.math4.legacy.ml.distance	Common distance measures.
org.apache.commons.math4.legacy.ode	This package provides classes to solve Ordinary Differential Equations problems.
org.apache.commons.math4.legacy.ode.events	This package provides classes to handle discrete events occurring during Ordinary Differential Equations integration.
org.apache.commons.math4.legacy.ode.nonstiff	This package provides classes to solve non-stiff Ordinary Differential Equations problems.
org.apache.commons.math4.legacy.ode.sampling	This package provides classes to handle sampling steps during Ordinary Differential Equations integration.
org.apache.commons.math4.legacy.optim	Generally, optimizers are algorithms that will either minimize or maximize a scalar function, called the objective function.
org.apache.commons.math4.legacy.optim.linear	Optimization algorithms for linear constrained problems.
org.apache.commons.math4.legacy.optim.nonlinear.scalar	Algorithms for optimizing a scalar function.
org.apache.commons.math4.legacy.optim.nonlinear.scalar.gradient	This package provides optimization algorithms that require derivatives.
org.apache.commons.math4.legacy.optim.nonlinear.scalar.noderiv	This package provides optimization algorithms that do not require derivatives.
org.apache.commons.math4.legacy.optim.univariate	One-dimensional optimization algorithms.
org.apache.commons.math4.legacy.random	This package contains functionality related to random numbers.
org.apache.commons.math4.legacy.special	Implementations of special functions.
org.apache.commons.math4.legacy.stat	Data storage, manipulation and summary routines.
org.apache.commons.math4.legacy.stat.correlation	Correlations/Covariance computations.
org.apache.commons.math4.legacy.stat.descriptive	Generic univariate summary statistic objects.
org.apache.commons.math4.legacy.stat.descriptive.moment	Summary statistics based on moments.
org.apache.commons.math4.legacy.stat.descriptive.rank	Summary statistics based on ranks.
org.apache.commons.math4.legacy.stat.descriptive.summary	Other summary statistics.
org.apache.commons.math4.legacy.stat.inference	Classes providing hypothesis testing.
org.apache.commons.math4.legacy.stat.interval	Classes providing binomial proportion confidence interval construction.
org.apache.commons.math4.legacy.stat.ranking	Classes providing rank transformations.
org.apache.commons.math4.legacy.stat.regression	Statistical routines involving multivariate data.
org.apache.commons.math4.legacy.util	Convenience routines and common data structures used throughout the commons-math library.
org.apache.commons.math4.neuralnet	Neural networks.
org.apache.commons.math4.neuralnet.internal	Internal utility classes.
org.apache.commons.math4.neuralnet.oned	One-dimensional neural networks.
org.apache.commons.math4.neuralnet.sofm	Self Organizing Feature Map.
org.apache.commons.math4.neuralnet.sofm.util	Miscellaneous utilities.
org.apache.commons.math4.neuralnet.twod	Two-dimensional neural networks.
org.apache.commons.math4.neuralnet.twod.util	Utilities to visualize two-dimensional neural networks.
org.apache.commons.math4.transform	Implementations of transform methods.