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java.lang.Objectsim.util.distribution.AbstractDistribution
sim.util.distribution.AbstractContinousDistribution
sim.util.distribution.ExponentialPower
public class ExponentialPower
Exponential Power distribution.
Valid parameter ranges: tau >= 1.
Instance methods operate on a user supplied uniform random number generator; they are unsynchronized.
Implementation:
L. Devroye (1986): Non-Uniform Random Variate Generation , Springer Verlag, New York.
Field Summary | |
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protected double |
tau
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Fields inherited from class sim.util.distribution.AbstractDistribution |
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randomGenerator |
Constructor Summary | |
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ExponentialPower(double tau,
MersenneTwisterFast randomGenerator)
Constructs an Exponential Power distribution. |
Method Summary | |
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double |
nextDouble()
Returns a random number from the distribution. |
double |
nextDouble(double tau)
Returns a random number from the distribution; bypasses the internal state. |
void |
setState(double tau)
Sets the distribution parameter. |
java.lang.String |
toString()
Returns a String representation of the receiver. |
Methods inherited from class sim.util.distribution.AbstractDistribution |
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apply, apply, getRandomGenerator, nextInt, setRandomGenerator |
Methods inherited from class java.lang.Object |
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clone, equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait |
Field Detail |
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protected double tau
Constructor Detail |
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public ExponentialPower(double tau, MersenneTwisterFast randomGenerator)
java.lang.IllegalArgumentException
- if tau < 1.0.Method Detail |
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public double nextDouble()
nextDouble
in class AbstractDistribution
public double nextDouble(double tau)
java.lang.IllegalArgumentException
- if tau < 1.0.public void setState(double tau)
java.lang.IllegalArgumentException
- if tau < 1.0.public java.lang.String toString()
toString
in class java.lang.Object
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