Overview (Apache Commons Math 3.6.1 API)

# 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.

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