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java.lang.Object umontreal.iro.lecuyer.randvar.RandomVariateGen umontreal.iro.lecuyer.randvar.NormalGen umontreal.iro.lecuyer.randvar.NormalACRGen
public class NormalACRGen
This class implements normal random variate generators using the acceptance-complement ratio method. For all the methods, the code was taken from UNURAN.
Constructor Summary | |
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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(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(RandomStream s,
NormalDist dist)
Creates a random variate generator for the normal distribution dist and stream s. |
Method Summary | |
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double |
nextDouble()
Generates a random number from the continuous distribution contained in this object. |
static double |
nextDouble(RandomStream s,
double mu,
double sigma)
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Methods inherited from class umontreal.iro.lecuyer.randvar.NormalGen |
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getMu, getSigma |
Methods inherited from class umontreal.iro.lecuyer.randvar.RandomVariateGen |
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getDistribution, getStream, nextArrayOfDouble, setStream, toString |
Methods inherited from class java.lang.Object |
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equals, getClass, hashCode, notify, notifyAll, wait, wait, wait |
Constructor Detail |
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public NormalACRGen(RandomStream s, double mu, double sigma)
public NormalACRGen(RandomStream s)
public NormalACRGen(RandomStream s, NormalDist dist)
Method Detail |
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public double nextDouble()
RandomVariateGen
inverseF
method of the distribution object.
Alternative generating methods are provided in subclasses.
nextDouble
in class RandomVariateGen
public static double nextDouble(RandomStream s, double mu, double sigma)
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