Uses of Package
org.hipparchus.random
Package
Description
Univariate real functions interpolation algorithms.
Clustering algorithms.
Implementations of multivariate distributions.
Generally, optimizers are algorithms that will either
minimize
or
maximize
a scalar function, called the
objective
function
.Algorithms for optimizing a scalar function.
This package provides optimization algorithms that do not require derivatives.
One-dimensional optimization algorithms.
Random number and random data generators.
Various examples.
Generic univariate and multivariate summary statistic objects.
Summary statistics based on ranks.
Statistical methods for fitting distributions.
Classes providing rank transformations.
Convenience routines and common data structures used throughout the Hipparchus library.
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ClassDescriptionGenerate random vectors isotropically located on the surface of a sphere.
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ClassDescriptionThis interface represents a random generator for whole vectors.
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ClassDescriptionThis interface represents a random generator for whole vectors.
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ClassDescriptionThis abstract class implements the WELL class of pseudo-random number generator from François Panneton, Pierre L'Ecuyer and Makoto Matsumoto.This interface represent a normalized random generator for scalars.A class for generating random data.Interface for generators of random number sequences.This interface represents a random generator for whole vectors.
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ClassDescriptionInterface for generators of random number sequences.This interface represents a random generator for whole vectors.
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ClassDescriptionA class for generating random data.Interface for generators of random number sequences.
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