Uses of Package
org.hipparchus.random

Packages that use 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.