Java org.apache.commons.math3.random RandomDataGenerator fields, constructors, methods, implement or subclass

Example usage for Java org.apache.commons.math3.random RandomDataGenerator fields, constructors, methods, implement or subclass

Introduction

In this page you can find the methods, fields and constructors for org.apache.commons.math3.random RandomDataGenerator.

The text is from its open source code.

Constructor

	RandomDataGenerator() Construct a RandomDataGenerator, using a default random generator as the source of randomness.
	RandomDataGenerator(RandomGenerator rand) Construct a RandomDataGenerator using the supplied RandomGenerator as the source of (non-secure) random data.

Method

int	nextBinomial(int numberOfTrials, double probabilityOfSuccess) Generates a random value from the BinomialDistribution Binomial Distribution .
double	nextExponential(double mean) Algorithm Description: Uses the Algorithm SA (Ahrens) from p.
double	nextGaussian(double mu, double sigma)
int	nextInt(int lower, int upper)
long	nextLong(long lower, long upper)
int[]	nextPermutation(int n, int k) Uses a 2-cycle permutation shuffle.
long	nextPoisson(double mean) Algorithm Description: For small means, uses simulation of a Poisson process using Uniform deviates, as described here. The Poisson process (and hence value returned) is bounded by 1000 * mean. For large means, uses the rejection algorithm described in Devroye, Luc.
double	nextUniform(double lower, double upper, boolean lowerInclusive) Algorithm Description: if the lower bound is excluded, scales the output of Random.nextDouble(), but rejects 0 values (i.e., will generate another random double if Random.nextDouble() returns 0).
double	nextUniform(double lower, double upper) Algorithm Description: scales the output of Random.nextDouble(), but rejects 0 values (i.e., will generate another random double if Random.nextDouble() returns 0).
void	reSeed(long seed) Reseeds the random number generator with the supplied seed.