Package org.jgrapht.alg.util
Class AliasMethodSampler
- java.lang.Object
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- org.jgrapht.alg.util.AliasMethodSampler
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public class AliasMethodSampler extends Object
The alias method for sampling from a discrete probability distribution.The implementation is described in the paper: Michael D. Vose. A Linear Algorithm for Generating Random Numbers with a Given Distribution. IEEE Transactions on Software Engineering, 17(9):972--975, 1991.
Initialization takes $O(n)$ where $n$ is the number of items. Sampling takes $O(1)$.
- Author:
- Dimitrios Michail
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Constructor Summary
Constructors Constructor Description AliasMethodSampler(double[] p)
ConstructorAliasMethodSampler(double[] p, long seed)
ConstructorAliasMethodSampler(double[] p, Random rng)
ConstructorAliasMethodSampler(double[] p, Random rng, double epsilon)
Constructor
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Constructor Detail
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AliasMethodSampler
public AliasMethodSampler(double[] p)
Constructor- Parameters:
p
- the probability distribution where position i of the array is $Prob(X=i)$- Throws:
IllegalArgumentException
- in case of a non-valid probability distribution
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AliasMethodSampler
public AliasMethodSampler(double[] p, long seed)
Constructor- Parameters:
p
- the probability distribution where position $i$ of the array is $Prob(X=i)$seed
- seed to use for the random number generator
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AliasMethodSampler
public AliasMethodSampler(double[] p, Random rng)
Constructor- Parameters:
p
- the probability distribution where position $i$ of the array is $Prob(X=i)$rng
- the random number generator- Throws:
IllegalArgumentException
- in case of a non-valid probability distribution
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AliasMethodSampler
public AliasMethodSampler(double[] p, Random rng, double epsilon)
Constructor- Parameters:
p
- the probability distribution where position $i$ of the array is $Prob(X=i)$rng
- the random number generatorepsilon
- tolerance used when comparing floating-point values- Throws:
IllegalArgumentException
- in case of a non-valid probability distribution
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