umontreal.iro.lecuyer.randvar
Class PoissonTIACGen

java.lang.Object
  umontreal.iro.lecuyer.randvar.RandomVariateGenInt
      umontreal.iro.lecuyer.randvar.PoissonGen
          umontreal.iro.lecuyer.randvar.PoissonTIACGen

public class PoissonTIACGen
extends PoissonGen

This class implements random variate generators having the Poisson distribution (see PoissonGen). Uses the tabulated inversion combined with acceptance complement (TIAC) method of. The implementation is adapted from UNURAN.

A local copy of the parameter lambda is maintained in this class.

Constructor Summary

PoissonTIACGen(RandomStream s, PoissonDist dist)
Creates a new random variate generator using the Poisson 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, double lambda)

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

PoissonTIACGen

public PoissonTIACGen(RandomStream s,
                      PoissonDist dist)

Creates a new random variate generator using the Poisson 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 PoissonGen

Returns:

the generated value

nextInt

public static int nextInt(RandomStream s,
                          double lambda)