All Classes and Interfaces

Classes
Class
Description
An EnhancedArbitrarilyJumpableGenerator is used to wrap an object of any class that implements RandomGenerator.ArbitrarilyJumpableGenerator for the purpose of adding all of the functionality of the RandomIndexer and RandomVariates.
An EnhancedJumpableGenerator is used to wrap an object of any class that implements RandomGenerator.JumpableGenerator for the purpose of adding all of the functionality of the RandomIndexer and RandomVariates.
An EnhancedLeapableGenerator is used to wrap an object of any class that implements RandomGenerator.LeapableGenerator for the purpose of adding all of the functionality of the RandomIndexer and RandomVariates.
An EnhancedRandomGenerator is used to wrap an object of any class that implements RandomGenerator for the purpose of adding all of the functionality of the RandomIndexer and RandomVariates.
An EnhancedSplittableGenerator is used to wrap an object of any class that implements RandomGenerator.SplittableGenerator for the purpose of adding all of the functionality of the RandomIndexer and RandomVariates.
An EnhancedStreamableGenerator is used to wrap an object of any class that implements RandomGenerator.StreamableGenerator for the purpose of adding all of the functionality of the RandomIndexer and RandomVariates.
This class uses Jacobi iteration to compute the eigenvalues and eigenvectors of a symmetric matrix, provided as a 2-D Java array.
MathFunctions is a class of utility methods that implement various mathematical functions.
Utility class of basic linear algebra matrix operations, where matrices are represented as 2-D Java arrays.
This class provides methods for generating pseudorandom numbers from a Gaussian distribution using the classic Polar Method.
RandomIndexer is a class of utility methods related to efficiently generating random indexes, and combination of indexes, into arrays.
This utility class provides methods for generating random variates from different distributions.
Utility class of basic statistics.
This class provides methods for generating pseudorandom numbers from a Gaussian distribution using the Ziggurat Algorithm.