All Packages
Package Summary
Package
Description
Common classes used throughout the commons-math library.
Parent package for common numerical analysis procedures, including root finding,
function interpolation and integration.
Numerical integration (quadrature) algorithms for univariate real functions.
Univariate real functions interpolation algorithms.
Univariate real polynomials implementations, seen as differentiable
univariate real functions.
Root finding algorithms, for univariate real functions.
Complex number type and implementations of complex transcendental
functions.
Decimal floating point library for Java
Implementations of common discrete and continuous distributions.
This package provided classes to solve estimation problems, it is deprecated since 2.0.
Specialized exceptions for algorithms errors.
Classes supporting exception localization.
Fraction number type and fraction number formatting.
This package provides Genetic Algorithms components and implementations.
This package provides basic 3D geometry components.
Linear algebra support.
This package provides classes to solve Ordinary Differential Equations problems.
This package provides classes to handle discrete events occurring during
Ordinary Differential Equations integration.
This package was intended to solve Ordinary Differential Equations problems
and also compute derivatives of the solution.
This package provides classes to solve non-stiff Ordinary Differential Equations problems.
This package provides classes to handle sampling steps during
Ordinary Differential Equations integration.
This package provides common interfaces for the optimization algorithms
provided in sub-packages.
This package provides optimization algorithms that don't require derivatives.
This package provides classes to perform curve fitting.
This package provides optimization algorithms that require derivatives.
This package provides optimization algorithms for linear constrained problems.
Univariate real functions minimum finding algorithms.
Random number and random data generators.
Implementations of special functions such as Beta and Gamma.
Data storage, manipulation and summary routines.
Clustering algorithms
Correlations/Covariance computations.
Generic univariate summary statistic objects.
Summary statistics based on moments.
Summary statistics based on ranks.
Other summary statistics.
Classes providing hypothesis testing and confidence interval
construction.
Classes providing rank transformations.
Statistical routines involving multivariate data.
Implementations of transform methods, including Fast Fourier transforms.
Convenience routines and common data structures used throughout the commons-math library.