| Package | Description |
|---|---|
| org.apache.commons.math4 |
Common classes used throughout the commons-math library.
|
| org.apache.commons.math4.analysis |
Parent package for common numerical analysis procedures, including root finding,
function interpolation and integration.
|
| org.apache.commons.math4.analysis.differentiation |
This package holds the main interfaces and basic building block classes
dealing with differentiation.
|
| org.apache.commons.math4.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.analysis.integration |
Numerical integration (quadrature) algorithms for univariate real functions.
|
| org.apache.commons.math4.analysis.integration.gauss |
Gauss family of quadrature schemes.
|
| org.apache.commons.math4.analysis.interpolation |
Univariate real functions interpolation algorithms.
|
| org.apache.commons.math4.analysis.polynomials |
Univariate real polynomials implementations, seen as differentiable
univariate real functions.
|
| org.apache.commons.math4.analysis.solvers |
Root finding algorithms, for univariate real functions.
|
| org.apache.commons.math4.complex |
Complex number type and implementations of complex transcendental
functions.
|
| org.apache.commons.math4.dfp |
Decimal floating point library for Java
|
| org.apache.commons.math4.distribution |
Implementations of common discrete and continuous distributions.
|
| org.apache.commons.math4.distribution.fitting |
Fitting of parameters against distributions.
|
| org.apache.commons.math4.exception |
Specialized exceptions for algorithms errors.
|
| org.apache.commons.math4.exception.util |
Classes supporting exception localization.
|
| org.apache.commons.math4.filter |
Implementations of common discrete-time linear filters.
|
| org.apache.commons.math4.fitting |
Classes to perform curve fitting.
|
| org.apache.commons.math4.fitting.leastsquares |
This package provides algorithms that minimize the residuals
between observations and model values.
|
| org.apache.commons.math4.fraction |
Fraction number type and fraction number formatting.
|
| org.apache.commons.math4.genetics |
This package provides Genetic Algorithms components and implementations.
|
| org.apache.commons.math4.geometry |
This package is the top level package for geometry.
|
| org.apache.commons.math4.geometry.enclosing |
This package provides interfaces and classes related to the smallest enclosing ball problem.
|
| org.apache.commons.math4.geometry.euclidean.oned |
This package provides basic 1D geometry components.
|
| org.apache.commons.math4.geometry.euclidean.threed |
This package provides basic 3D geometry components.
|
| org.apache.commons.math4.geometry.euclidean.twod |
This package provides basic 2D geometry components.
|
| org.apache.commons.math4.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.math4.geometry.hull |
This package provides interfaces and classes related to the convex hull problem.
|
| org.apache.commons.math4.geometry.partitioning |
This package provides classes to implement Binary Space Partition trees.
|
| org.apache.commons.math4.geometry.spherical.oned |
This package provides basic geometry components on the 1-sphere.
|
| org.apache.commons.math4.geometry.spherical.twod |
This package provides basic geometry components on the 2-sphere.
|
| org.apache.commons.math4.linear |
Linear algebra support.
|
| org.apache.commons.math4.ml |
Base package for machine learning algorithms.
|
| org.apache.commons.math4.ml.clustering |
Clustering algorithms.
|
| org.apache.commons.math4.ml.clustering.evaluation |
Cluster evaluation methods.
|
| org.apache.commons.math4.ml.distance |
Common distance measures.
|
| org.apache.commons.math4.ml.neuralnet |
Neural networks.
|
| org.apache.commons.math4.ml.neuralnet.oned |
One-dimensional neural networks.
|
| org.apache.commons.math4.ml.neuralnet.sofm |
Self Organizing Feature Map.
|
| org.apache.commons.math4.ml.neuralnet.sofm.util |
Miscellaneous utilities.
|
| org.apache.commons.math4.ml.neuralnet.twod |
Two-dimensional neural networks.
|
| org.apache.commons.math4.ode |
This package provides classes to solve Ordinary Differential Equations problems.
|
| org.apache.commons.math4.ode.events |
This package provides classes to handle discrete events occurring during
Ordinary Differential Equations integration.
|
| org.apache.commons.math4.ode.nonstiff |
This package provides classes to solve non-stiff Ordinary Differential Equations problems.
|
| org.apache.commons.math4.ode.sampling |
This package provides classes to handle sampling steps during
Ordinary Differential Equations integration.
|
| org.apache.commons.math4.optim |
Generally, optimizers are algorithms that will either
minimize or
maximize
a scalar function, called the
objective
function. |
| org.apache.commons.math4.optim.linear |
Optimization algorithms for linear constrained problems.
|
| org.apache.commons.math4.optim.nonlinear.scalar |
Algorithms for optimizing a scalar function.
|
| org.apache.commons.math4.optim.nonlinear.scalar.gradient |
This package provides optimization algorithms that require derivatives.
|
| org.apache.commons.math4.optim.nonlinear.scalar.noderiv |
This package provides optimization algorithms that do not require derivatives.
|
| org.apache.commons.math4.optim.univariate |
One-dimensional optimization algorithms.
|
| org.apache.commons.math4.primes |
Methods related to prime numbers like primality test, factor decomposition.
|
| org.apache.commons.math4.random |
Random number and random data generators.
|
| org.apache.commons.math4.special |
Implementations of special functions such as Beta and Gamma.
|
| org.apache.commons.math4.stat |
Data storage, manipulation and summary routines.
|
| org.apache.commons.math4.stat.correlation |
Correlations/Covariance computations.
|
| org.apache.commons.math4.stat.descriptive |
Generic univariate summary statistic objects.
|
| org.apache.commons.math4.stat.descriptive.moment |
Summary statistics based on moments.
|
| org.apache.commons.math4.stat.descriptive.rank |
Summary statistics based on ranks.
|
| org.apache.commons.math4.stat.descriptive.summary |
Other summary statistics.
|
| org.apache.commons.math4.stat.inference |
Classes providing hypothesis testing.
|
| org.apache.commons.math4.stat.interval |
Classes providing binomial proportion confidence interval construction.
|
| org.apache.commons.math4.stat.ranking |
Classes providing rank transformations.
|
| org.apache.commons.math4.stat.regression |
Statistical routines involving multivariate data.
|
| org.apache.commons.math4.transform |
Implementations of transform methods, including Fast Fourier transforms.
|
| org.apache.commons.math4.util |
Convenience routines and common data structures used throughout the commons-math library.
|
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