org.spaceroots.mantissa.random

Class UniformRandomGenerator

java.lang.Object

org.spaceroots.mantissa.random.UniformRandomGenerator

All Implemented Interfaces:

java.io.Serializable, NormalizedRandomGenerator

public class UniformRandomGenerator
extends java.lang.Object
implements NormalizedRandomGenerator

This class implements a normalized uniform random generator.

Since this is a normalized random generator, it has a null mean and a unit standard deviation. Beeing also a uniform generator, it produces numbers in the range [-sqrt(3) ; sqrt(3)]. It uses the MersenneTwister generator as the underlying generator.

See Also:

MersenneTwister, Serialized Form

Constructor Summary

Constructors

Constructor and Description
UniformRandomGenerator() Create a new generator.
UniformRandomGenerator(int seed) Creates a new random number generator using a single int seed.
UniformRandomGenerator(int[] seed) Creates a new random number generator using an int array seed.
UniformRandomGenerator(long seed) Create a new generator initialized with a single long seed.

Method Summary

Modifier and Type	Method and Description
double	nextDouble() Generate a random scalar with null mean and unit standard deviation.

Methods inherited from class java.lang.Object

equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

UniformRandomGenerator

public UniformRandomGenerator()

Create a new generator. The seed of the generator is related to the current time.

UniformRandomGenerator

public UniformRandomGenerator(int seed)

Creates a new random number generator using a single int seed.

Parameters:

seed - the initial seed (32 bits integer)

UniformRandomGenerator

public UniformRandomGenerator(int[] seed)

Creates a new random number generator using an int array seed.

Parameters:

seed - the initial seed (32 bits integers array), if null the seed of the generator will be related to the current time

UniformRandomGenerator

public UniformRandomGenerator(long seed)

Create a new generator initialized with a single long seed.

Parameters:

seed - seed for the generator (64 bits integer)

Method Detail

nextDouble

public double nextDouble()

Generate a random scalar with null mean and unit standard deviation.

The number generated is uniformly distributed between -sqrt(3) and sqrt(3).

Specified by:

nextDouble in interface NormalizedRandomGenerator

Returns:

a random scalar with null mean and unit standard deviation