Uses of Class
org.evoludo.math.MersenneTwister

Packages that use MersenneTwister

Package	Description
org.evoludo.math	A collection of mathematical utilities and functions.

Uses of MersenneTwister in org.evoludo.math

Fields in org.evoludo.math declared as MersenneTwister

Modifier and Type	Field	Description
protected MersenneTwister	RNGDistribution.rng	Reference to the MersenneTwister that supplies the random numbers for the different distributions.

Methods in org.evoludo.math that return MersenneTwister

Modifier and Type	Method	Description
MersenneTwister	MersenneTwister.clone()	Clone this MersenneTwister to ensure both objects return identical sequences of random numbers.
MersenneTwister	RNGDistribution.getRNG()	Get random number generator of this distribution.

Methods in org.evoludo.math with parameters of type MersenneTwister

Modifier and Type	Method	Description
static int	RNGDistribution.Binomial.next(MersenneTwister rng, double p, int n)	Creates binomial distribution for n trials with success probability p (mean n p) and the random number generator rng.
static double	RNGDistribution.Exponential.next(MersenneTwister rng, double mean)	Exponentially distributed random number with mean using random number generator rng.
static int	RNGDistribution.Geometric.next(MersenneTwister rng, double p)	Creates geometric distribution with success probability p (mean 1/p) and the random number generator rng.
static double	RNGDistribution.Normal.next(MersenneTwister rng, double mean, double stdev)	Normally distributed random number with mean and standard deviation stdev using random number generator rng.
static double	RNGDistribution.Uniform.next(MersenneTwister rng, double min, double max)	Uniformly distributed random number in [min, max) using random number generator rng.
static int	RNGDistribution.Gillespie.nextMax(MersenneTwister rng, double[] weights, double max)	Static implementation of RNGDistribution.Gillespie.nextMax(double[], double).
static int	RNGDistribution.Gillespie.nextSum(MersenneTwister rng, double[] weights, double sum)	Static implementation of RNGDistribution.Gillespie.nextSum(double[], double).
void	RNGDistribution.setRNG(MersenneTwister rng)	Set custom random number generator rng of this distribution.
boolean	MersenneTwister.stateEquals(MersenneTwister other)	Returns true if the MersenneTwister's current internal state is equal to another MersenneTwister.
static void	RNGDistribution.Binomial.test(MersenneTwister rng, Logger logger, MersenneTwister.Chronometer clock)	Test Binomial distribution.
static void	RNGDistribution.Exponential.test(MersenneTwister rng, Logger logger, MersenneTwister.Chronometer clock)	Test Exponential distribution.
static void	RNGDistribution.Geometric.test(MersenneTwister rng, Logger logger, MersenneTwister.Chronometer clock)	Test Geometric distribution.
static void	RNGDistribution.Gillespie.test(MersenneTwister rng, Logger logger, MersenneTwister.Chronometer clock)	Test Gillespie algorithm for random weight distribution.
static void	RNGDistribution.Normal.test(MersenneTwister rng, Logger logger, MersenneTwister.Chronometer clock)	Test Normal distribution.
static void	RNGDistribution.Uniform.test(MersenneTwister rng, Logger logger, MersenneTwister.Chronometer clock)	Test Uniform distribution.

Constructors in org.evoludo.math with parameters of type MersenneTwister

Modifier	Constructor	Description
	Binomial(MersenneTwister rng, double p, int n)	Creates binomial distribution with n trials and success probability p (mean n p) and the random number generator rng.
	Exponential(MersenneTwister rng, double mean)	Creates exponential distribution with mean and random number generator rng.
	Geometric(MersenneTwister rng, double p)	Creates geometric distribution with success probability p (mean 1/p) and the random number generator rng.
	Gillespie(MersenneTwister rng)	Creates a weighted distribution over intergers using the Gillespie algorithm using the random number generator rng.
	Normal(MersenneTwister rng, double mean, double stdev)	Creates Normal distribution with mean and standard deviation stdev using the random number generator rng.
protected	RNGDistribution(MersenneTwister rng)	Create new random number distribution using rng as the random number generator.
	Uniform(MersenneTwister rng, double min, double max)	Creates uniform random distribution in interval [min, max) with random number generator rng.