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java.lang.Objectimagescience.random.GaussianGenerator
public class GaussianGenerator
Gaussian random number generator. This implementation is based on the Box-Muller transformation applied to uniform random numbers, the latter of which are obtained from class UniformGenerator
. For more details, see for example W. H. Press, S. A. Teukolsky, W. T. Vetterling, B. P. Flannery, Numerical Recipes in C: The Art of Scientific Computing (2nd edition), Cambridge University Press, Cambridge, 1992, Section 7.2.
Constructor Summary | |
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GaussianGenerator()
Constructs a generator of random numbers from the Gaussian distribution with zero mean and unit standard deviation and initialized with a random seed. |
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GaussianGenerator(double mean,
double stdev)
Constructs a generator of random numbers from the Gaussian distribution with given mean and standard deviation stdev and initialized with a random seed. |
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GaussianGenerator(double mean,
double stdev,
int seed)
Constructs a generator of random numbers from the Gaussian distribution with given mean and standard deviation stdev and initialized with the given seed . |
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GaussianGenerator(int seed)
Constructs a generator of random numbers from the Gaussian distribution with zero mean and unit standard deviation and initialized with the given seed . |
Method Summary | |
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double |
next()
Returns a random number from the Gaussian distribution with mean and standard deviation specified at construction. |
double |
next(double mean,
double stdev)
Returns a random number from the Gaussian distribution with given mean and standard deviation stdev . |
Methods inherited from class java.lang.Object |
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equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait |
Constructor Detail |
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public GaussianGenerator()
public GaussianGenerator(int seed)
seed
.
seed
- The seed used for initialization of the generator.public GaussianGenerator(double mean, double stdev)
mean
and standard deviation stdev
and initialized with a random seed.
mean
- The mean of the distribution.stdev
- The standard deviation from the mean of the distribution. Must be larger than or equal to 0
.
java.lang.IllegalArgumentException
- If stdev
is less than 0
.public GaussianGenerator(double mean, double stdev, int seed)
mean
and standard deviation stdev
and initialized with the given seed
.
mean
- The mean of the distribution.stdev
- The standard deviation from the mean of the distribution. Must be larger than or equal to 0
.seed
- The seed used for initialization of the generator.
java.lang.IllegalArgumentException
- If stdev
is less than 0
.Method Detail |
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public double next()
next
in interface RandomGenerator
public double next(double mean, double stdev)
mean
and standard deviation stdev
.
mean
and standard deviation stdev
.
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Copyright (C) Erik Meijering. Permission to use this software and corresponding documentation for educational, research, and not-for-profit purposes, without a fee and without a signed licensing agreement, is granted, subject to the following terms and conditions.
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