umontreal.iro.lecuyer.randvar
Class NormalACRGen
- java.lang.Object
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- umontreal.iro.lecuyer.randvar.RandomVariateGen
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- umontreal.iro.lecuyer.randvar.NormalGen
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- umontreal.iro.lecuyer.randvar.NormalACRGen
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public class NormalACRGen extends NormalGen
This class implements normal random variate generators using the acceptance-complement ratio method. For all the methods, the code was taken from UNURAN.
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Constructor Summary
Constructors Constructor and Description NormalACRGen(RandomStream s)Creates a standard normal random variate generator with mean 0 and standard deviation 1, using stream s.NormalACRGen(RandomStream s, double mu, double sigma)Creates a normal random variate generator with mean mu and standard deviation sigma, using stream s.NormalACRGen(RandomStream s, NormalDist dist)Creates a random variate generator for the normal distribution dist and stream s.
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Method Summary
All Methods Static Methods Instance Methods Concrete Methods Modifier and Type Method and Description doublenextDouble()Generates a random number from the continuous distribution contained in this object.static doublenextDouble(RandomStream s, double mu, double sigma)-
Methods inherited from class umontreal.iro.lecuyer.randvar.RandomVariateGen
getDistribution, getStream, nextArrayOfDouble, setStream, toString
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Constructor Detail
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NormalACRGen
public NormalACRGen(RandomStream s, double mu, double sigma)
Creates a normal random variate generator with mean mu and standard deviation sigma, using stream s.
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NormalACRGen
public NormalACRGen(RandomStream s)
Creates a standard normal random variate generator with mean 0 and standard deviation 1, using stream s.
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NormalACRGen
public NormalACRGen(RandomStream s, NormalDist dist)
Creates a random variate generator for the normal distribution dist and stream s.
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Method Detail
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nextDouble
public double nextDouble()
Description copied from class:RandomVariateGenGenerates a random number from the continuous distribution contained in this object. By default, this method uses inversion by calling theinverseFmethod of the distribution object. Alternative generating methods are provided in subclasses.- Overrides:
nextDoublein classRandomVariateGen- Returns:
- the generated value
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nextDouble
public static double nextDouble(RandomStream s, double mu, double sigma)
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