umontreal.iro.lecuyer.randvar
Class ConstantGen

java.lang.Object
  umontreal.iro.lecuyer.randvar.RandomVariateGen
      umontreal.iro.lecuyer.randvar.ConstantGen

public class ConstantGen
extends RandomVariateGen

This class implements a random variate generator that returns a constant value. Its mass function is

p(x) = 1, for x = c,

and p(x) = 0 elsewhere.

Constructor Summary

ConstantGen(double val)
Constructs a new constant generator returning the given value val.

Method Summary

void	nextArrayOfDouble(double[] v, int start, int n) Generates n random numbers from the continuous distribution contained in this object.
double	nextDouble() Generates a random number from the continuous distribution contained in this object.

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

getDistribution, getStream, setStream, toString

Methods inherited from class java.lang.Object

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

Constructor Detail

ConstantGen

public ConstantGen(double val)

Constructs a new constant generator returning the given value val.

Method Detail

nextDouble

public double nextDouble()

Description copied from class: RandomVariateGen

Generates a random number from the continuous 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:

nextDouble in class RandomVariateGen

Returns:

the generated value

nextArrayOfDouble

public void nextArrayOfDouble(double[] v,
                              int start,
                              int n)

Description copied from class: RandomVariateGen

Generates n random numbers from the continuous distribution contained in this object. These numbers are stored in the array v, starting from index start. By default, this method calls nextDouble() n times, but one can override it in subclasses for better efficiency.

Overrides:

nextArrayOfDouble in class RandomVariateGen

Parameters:

v - array in which the variates will be stored

start - starting index, in v, of the new variates

n - number of variates to generate