umontreal.iro.lecuyer.randvar
Class BinomialConvolutionGen

java.lang.Object
  umontreal.iro.lecuyer.randvar.RandomVariateGenInt
      umontreal.iro.lecuyer.randvar.BinomialGen
          umontreal.iro.lecuyer.randvar.BinomialConvolutionGen

public class BinomialConvolutionGen
extends BinomialGen

Implements binomial random variate generators using the convolution method. This method generates n Bernouilli random variates with parameter p and adds them up. Its advantages are that it requires little computer memory and no setup time. Its disadvantage is that it is very slow for large n. It makes sense only when n is small.

A local copy of the parameters n and p is maintained in this class.

Constructor Summary

BinomialConvolutionGen(RandomStream s, BinomialDist dist)
Creates a new random variate generator for distribution dist and stream s.

Method Summary

int	nextInt() Generates a random number (an integer) from the discrete distribution contained in this object.
static int	nextInt(RandomStream s, int n, double p)

Methods inherited from class umontreal.iro.lecuyer.randvar.RandomVariateGenInt

getDistribution, getStream, nextArrayOfInt

Methods inherited from class java.lang.Object

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

Constructor Detail

BinomialConvolutionGen

public BinomialConvolutionGen(RandomStream s,
                              BinomialDist dist)

Creates a new random variate generator for distribution dist and stream s.

Method Detail

nextInt

public int nextInt()

Description copied from class: RandomVariateGenInt

Generates a random number (an integer) from the discrete distribution contained in this object. By default, this method uses inversion by calling the inverseF method of the distribution object. Alternative generating methods are provided in subclasses.

Overrides:

nextInt in class BinomialGen

Returns:

the generated value

nextInt

public static int nextInt(RandomStream s,
                          int n,
                          double p)