ikr.simlib.distributions.mapped

Class MappedDistribution<I>

java.lang.Object

ikr.simlib.distributions.Distribution

ikr.simlib.distributions.mapped.MappedDistribution<I>

Type Parameters:

I - type of distribution values

Direct Known Subclasses:

MappedBernoulliDistribution, MappedGeneralDistribution

public abstract class MappedDistribution<I>
extends Distribution

A mapped distribution allows a custom return types for distribution values.

Field Summary

Fields inherited from class ikr.simlib.distributions.Distribution

rng

Constructor Summary

Constructors

Constructor and Description
MappedDistribution()
MappedDistribution(RandomNumberGenerator rng)

Method Summary

Methods

Modifier and Type	Method and Description
abstract I	next() Create random values

Methods inherited from class ikr.simlib.distributions.Distribution

getDefaultRNG, getRandomNumberGenerator, reset

Methods inherited from class java.lang.Object

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

Constructor Detail

MappedDistribution

public MappedDistribution()

MappedDistribution

public MappedDistribution(RandomNumberGenerator rng)

Method Detail

next

public abstract I next()

Create random values