Apache Commons Math 3.6.1 API

Packages

Package	Description
org.apache.commons.math3	Common classes used throughout the commons-math library.
org.apache.commons.math3.analysis	Parent package for common numerical analysis procedures, including root finding, function interpolation and integration.
org.apache.commons.math3.analysis.differentiation	This package holds the main interfaces and basic building block classes dealing with differentiation.
org.apache.commons.math3.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.math3.analysis.integration	Numerical integration (quadrature) algorithms for univariate real functions.
org.apache.commons.math3.analysis.integration.gauss	Gauss family of quadrature schemes.
org.apache.commons.math3.analysis.interpolation	Univariate real functions interpolation algorithms.
org.apache.commons.math3.analysis.polynomials	Univariate real polynomials implementations, seen as differentiable univariate real functions.
org.apache.commons.math3.analysis.solvers	Root finding algorithms, for univariate real functions.
org.apache.commons.math3.complex	Complex number type and implementations of complex transcendental functions.
org.apache.commons.math3.dfp	Decimal floating point library for Java
org.apache.commons.math3.distribution	Implementations of common discrete and continuous distributions.
org.apache.commons.math3.distribution.fitting	Fitting of parameters against distributions.
org.apache.commons.math3.exception	Specialized exceptions for algorithms errors.
org.apache.commons.math3.exception.util	Classes supporting exception localization.
org.apache.commons.math3.filter	Implementations of common discrete-time linear filters.
org.apache.commons.math3.fitting	Classes to perform curve fitting.
org.apache.commons.math3.fitting.leastsquares	This package provides algorithms that minimize the residuals between observations and model values.
org.apache.commons.math3.fraction	Fraction number type and fraction number formatting.
org.apache.commons.math3.genetics	This package provides Genetic Algorithms components and implementations.
org.apache.commons.math3.geometry	This package is the top level package for geometry.
org.apache.commons.math3.geometry.enclosing	This package provides interfaces and classes related to the smallest enclosing ball problem.
org.apache.commons.math3.geometry.euclidean.oned	This package provides basic 1D geometry components.
org.apache.commons.math3.geometry.euclidean.threed	This package provides basic 3D geometry components.
org.apache.commons.math3.geometry.euclidean.twod	This package provides basic 2D geometry components.
org.apache.commons.math3.geometry.euclidean.twod.hull	This package provides algorithms to generate the convex hull for a set of points in an two-dimensional euclidean space.
org.apache.commons.math3.geometry.hull	This package provides interfaces and classes related to the convex hull problem.
org.apache.commons.math3.geometry.partitioning	This package provides classes to implement Binary Space Partition trees.
org.apache.commons.math3.geometry.partitioning.utilities	This package provides multidimensional ordering features for partitioning.
org.apache.commons.math3.geometry.spherical.oned	This package provides basic geometry components on the 1-sphere.
org.apache.commons.math3.geometry.spherical.twod	This package provides basic geometry components on the 2-sphere.
org.apache.commons.math3.linear	Linear algebra support.
org.apache.commons.math3.ml	Base package for machine learning algorithms.
org.apache.commons.math3.ml.clustering	Clustering algorithms.
org.apache.commons.math3.ml.clustering.evaluation	Cluster evaluation methods.
org.apache.commons.math3.ml.distance	Common distance measures.
org.apache.commons.math3.ml.neuralnet	Neural networks.
org.apache.commons.math3.ml.neuralnet.oned	One-dimensional neural networks.
org.apache.commons.math3.ml.neuralnet.sofm	Self Organizing Feature Map.
org.apache.commons.math3.ml.neuralnet.sofm.util	Miscellaneous utilities.
org.apache.commons.math3.ml.neuralnet.twod	Two-dimensional neural networks.
org.apache.commons.math3.ml.neuralnet.twod.util	Utilities to visualize two-dimensional neural networks.
org.apache.commons.math3.ode	This package provides classes to solve Ordinary Differential Equations problems.
org.apache.commons.math3.ode.events	This package provides classes to handle discrete events occurring during Ordinary Differential Equations integration.
org.apache.commons.math3.ode.nonstiff	This package provides classes to solve non-stiff Ordinary Differential Equations problems.
org.apache.commons.math3.ode.sampling	This package provides classes to handle sampling steps during Ordinary Differential Equations integration.
org.apache.commons.math3.optim	Generally, optimizers are algorithms that will either minimize or maximize a scalar function, called the objective function.
org.apache.commons.math3.optim.linear	Optimization algorithms for linear constrained problems.
org.apache.commons.math3.optim.nonlinear.scalar	Algorithms for optimizing a scalar function.
org.apache.commons.math3.optim.nonlinear.scalar.gradient	This package provides optimization algorithms that require derivatives.
org.apache.commons.math3.optim.nonlinear.scalar.noderiv	This package provides optimization algorithms that do not require derivatives.
org.apache.commons.math3.optim.nonlinear.vector	Algorithms for optimizing a vector function.
org.apache.commons.math3.optim.nonlinear.vector.jacobian	This package provides optimization algorithms that require derivatives.
org.apache.commons.math3.optim.univariate	One-dimensional optimization algorithms.
org.apache.commons.math3.optimization	All classes and sub-packages of this package are deprecated.
org.apache.commons.math3.optimization.direct	This package provides optimization algorithms that don't require derivatives.
org.apache.commons.math3.optimization.fitting	This package provides classes to perform curve fitting.
org.apache.commons.math3.optimization.general	This package provides optimization algorithms that require derivatives.
org.apache.commons.math3.optimization.linear	This package provides optimization algorithms for linear constrained problems.
org.apache.commons.math3.optimization.univariate	Univariate real functions minimum finding algorithms.
org.apache.commons.math3.primes	Methods related to prime numbers like primality test, factor decomposition.
org.apache.commons.math3.random	Random number and random data generators.
org.apache.commons.math3.special	Implementations of special functions such as Beta and Gamma.
org.apache.commons.math3.stat	Data storage, manipulation and summary routines.
org.apache.commons.math3.stat.clustering	All classes and sub-packages of this package are deprecated.
org.apache.commons.math3.stat.correlation	Correlations/Covariance computations.
org.apache.commons.math3.stat.descriptive	Generic univariate summary statistic objects.
org.apache.commons.math3.stat.descriptive.moment	Summary statistics based on moments.
org.apache.commons.math3.stat.descriptive.rank	Summary statistics based on ranks.
org.apache.commons.math3.stat.descriptive.summary	Other summary statistics.
org.apache.commons.math3.stat.inference	Classes providing hypothesis testing.
org.apache.commons.math3.stat.interval	Classes providing binomial proportion confidence interval construction.
org.apache.commons.math3.stat.ranking	Classes providing rank transformations.
org.apache.commons.math3.stat.regression	Statistical routines involving multivariate data.
org.apache.commons.math3.transform	Implementations of transform methods, including Fast Fourier transforms.
org.apache.commons.math3.util	Convenience routines and common data structures used throughout the commons-math library.