Apache Commons Math 3.6.1 API

Parent package for common numerical analysis procedures, including root finding, function interpolation and integration.

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.

Gauss family of quadrature schemes.

Univariate real polynomials implementations, seen as differentiable univariate real functions.

Complex number type and implementations of complex transcendental functions.

Implementations of common discrete and continuous distributions.

Specialized exceptions for algorithms errors.

Implementations of common discrete-time linear filters.

This package provides algorithms that minimize the residuals between observations and model values.

This package provides Genetic Algorithms components and implementations.

This package provides interfaces and classes related to the smallest enclosing ball problem.

This package provides basic 3D geometry components.

This package provides algorithms to generate the convex hull for a set of points in an two-dimensional euclidean space.

This package provides classes to implement Binary Space Partition trees.

This package provides basic geometry components on the 1-sphere.

Linear algebra support.

Clustering algorithms.

Common distance measures.

One-dimensional neural networks.

Miscellaneous utilities.

Utilities to visualize two-dimensional neural networks.

This package provides classes to handle discrete events occurring during Ordinary Differential Equations integration.

This package provides classes to handle sampling steps during Ordinary Differential Equations integration.

Optimization algorithms for linear constrained problems.

This package provides optimization algorithms that require derivatives.

Algorithms for optimizing a vector function.

One-dimensional optimization algorithms.

This package provides optimization algorithms that don't require derivatives.

This package provides optimization algorithms that require derivatives.

Univariate real functions minimum finding algorithms.

Random number and random data generators.

Data storage, manipulation and summary routines.

Correlations/Covariance computations.

Summary statistics based on moments.

Other summary statistics.

Classes providing binomial proportion confidence interval construction.

Statistical routines involving multivariate data.

Convenience routines and common data structures used throughout the commons-math library.