java.lang.Object
org.jgrapht.alg.util.AliasMethodSampler
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
ConstructorDescriptionAliasMethodSampler
(double[] p) ConstructorAliasMethodSampler
(double[] p, long seed) ConstructorAliasMethodSampler
(double[] p, Random rng) ConstructorAliasMethodSampler
(double[] p, Random rng, double epsilon) Constructor -
Method Summary
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Constructor Details
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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
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
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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Method Details
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next
public int next()Sample a value from the distribution.- Returns:
- a sample from the distribution
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