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.