edu.indiana.util.distribution
Class ClampedNormalDistribution

java.lang.Object
  edu.indiana.util.distribution.NormalDistribution
      edu.indiana.util.distribution.ClampedNormalDistribution

All Implemented Interfaces:

Distribution, java.io.Serializable, java.lang.Cloneable

public class ClampedNormalDistribution
extends NormalDistribution

This is a normal distribution, but with firm minimum and maximum values.

See Also:

Serialized Form

Field Summary

protected double	max
protected double	min
static double	UNCLAMPED

Fields inherited from class edu.indiana.util.distribution.NormalDistribution

mean, standardDeviation

Constructor Summary

ClampedNormalDistribution(double mean, double standardDeviation, double min, double max)
Creates a new instance of ClampedNormalDistribution

Method Summary

java.lang.Object	clone() Obtain a copy of this distribution.
boolean	equals(java.lang.Object other)
double	generateValue() Generate a random double from a normal distribution with a specified mean and standard deviation.
double	getMax()
double	getMin()
static void	main(java.lang.String[] args)
void	setParameters(double[] parameters) Set the parameters for this clamped normal distribution.
java.lang.String	toString() Obtain a String representation of this distribution.

Methods inherited from class edu.indiana.util.distribution.NormalDistribution

generateIntValue

Methods inherited from class java.lang.Object

finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait

Field Detail

UNCLAMPED

public static final double UNCLAMPED

See Also:

Constant Field Values

min

protected double min

max

protected double max

Constructor Detail

ClampedNormalDistribution

public ClampedNormalDistribution(double mean,
                                 double standardDeviation,
                                 double min,
                                 double max)

Creates a new instance of ClampedNormalDistribution

Method Detail

generateValue

public double generateValue()

Description copied from class: NormalDistribution

Generate a random double from a normal distribution with a specified mean and standard deviation. This algorithm is from _The_Art_Of_Computer_Programming_ by Donald Knuth, 2nd ed, p. 117.

Specified by:

generateValue in interface Distribution

Overrides:

generateValue in class NormalDistribution

setParameters

public void setParameters(double[] parameters)

Set the parameters for this clamped normal distribution. The first position in the array is the mean, the second is the standard deviation, the third is the minimum, and the fourth is the maximum.

Specified by:

setParameters in interface Distribution

Overrides:

setParameters in class NormalDistribution

getMin

public double getMin()

getMax

public double getMax()

toString

public java.lang.String toString()

Obtain a String representation of this distribution.

Specified by:

toString in interface Distribution

Overrides:

toString in class NormalDistribution

clone

public java.lang.Object clone()

Obtain a copy of this distribution.

Specified by:

clone in interface Distribution

Overrides:

clone in class NormalDistribution

equals

public boolean equals(java.lang.Object other)

Overrides:

equals in class NormalDistribution

main

public static void main(java.lang.String[] args)