de.jstacs.utils.random
Class DirichletMRG

java.lang.Object
  de.jstacs.utils.random.MultivariateRandomGenerator
      de.jstacs.utils.random.DirichletMRG

public class DirichletMRG
extends MultivariateRandomGenerator

This class is a multivariate random generator based on a Dirichlet distribution.

Author:

Jens Keilwagen

Field Summary

static DirichletMRG

DEFAULT_INSTANCE This instance shall be used, since quite often two instance of this class return the same values.

Method Summary

void	generate(double[] d, int start, int n, MRGParams p) Generates a n-dimensional random array as part of the array d beginning at start.
void	generateLog(double[] d, int start, int n, MRGParams p) Fills a part of the array d beginning at start with n logarithmic values.

Methods inherited from class de.jstacs.utils.random.MultivariateRandomGenerator

generate

Methods inherited from class java.lang.Object

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

Field Detail

DEFAULT_INSTANCE

public static final DirichletMRG DEFAULT_INSTANCE

This instance shall be used, since quite often two instance of this class return the same values. With this a new Dirichlet random generator is created.

Method Detail

generate

public void generate(double[] d,
                     int start,
                     int n,
                     MRGParams p)

Description copied from class: MultivariateRandomGenerator

Generates a n-dimensional random array as part of the array d beginning at start.

Specified by:

generate in class MultivariateRandomGenerator

Parameters:

d - the array

start - the start index for generated values

n - the dimension of the random array

p - the parameter of the underlying distribution

generateLog

public void generateLog(double[] d,
                        int start,
                        int n,
                        MRGParams p)

Fills a part of the array d beginning at start with n logarithmic values.

Parameters:

d - the array

start - the start index for generated values

n - the dimension of the random array

p - the parameter of the underlying distribution

Throws:

ClassCastException - if the object p could not be parsed to the correct subclass

IllegalArgumentException - if an argument is not correct

See Also:

DiMRGParams, generate(double[], int, int, MRGParams)