Class MarsagliaTsangWangDiscreteSampler.MarsagliaTsangWangBase64Int32DiscreteSampler
java.lang.Object
org.apache.commons.rng.sampling.distribution.MarsagliaTsangWangDiscreteSampler.AbstractMarsagliaTsangWangDiscreteSampler
org.apache.commons.rng.sampling.distribution.MarsagliaTsangWangDiscreteSampler.MarsagliaTsangWangBase64Int32DiscreteSampler
- All Implemented Interfaces:
DiscreteSampler
,SharedStateDiscreteSampler
,SharedStateSampler<SharedStateDiscreteSampler>
- Enclosing class:
MarsagliaTsangWangDiscreteSampler
private static final class MarsagliaTsangWangDiscreteSampler.MarsagliaTsangWangBase64Int32DiscreteSampler
extends MarsagliaTsangWangDiscreteSampler.AbstractMarsagliaTsangWangDiscreteSampler
An implementation for the sample algorithm based on the decomposition of the
index in the range
[0,2^30)
into 5 base-64 digits with 32-bit backing storage.-
Field Summary
FieldsModifier and TypeFieldDescriptionprivate final int
Limit for look-up table 1.private final int
Limit for look-up table 2.private final int
Limit for look-up table 3.private final int
Limit for look-up table 4.private final int[]
Look-up table table1.private final int[]
Look-up table table2.private final int[]
Look-up table table3.private final int[]
Look-up table table4.private final int[]
Look-up table table5.Fields inherited from class org.apache.commons.rng.sampling.distribution.MarsagliaTsangWangDiscreteSampler.AbstractMarsagliaTsangWangDiscreteSampler
rng
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Constructor Summary
ConstructorsModifierConstructorDescription(package private)
MarsagliaTsangWangBase64Int32DiscreteSampler
(UniformRandomProvider rng, String distributionName, int[] prob, int offset) private
MarsagliaTsangWangBase64Int32DiscreteSampler
(UniformRandomProvider rng, MarsagliaTsangWangDiscreteSampler.MarsagliaTsangWangBase64Int32DiscreteSampler source) -
Method Summary
Modifier and TypeMethodDescriptionprivate static int
fill
(int[] table, int from, int to, int value) Fill the table with the value.int
sample()
Creates anint
sample.Create a new instance of the sampler with the same underlying state using the given uniform random provider as the source of randomness.Methods inherited from class org.apache.commons.rng.sampling.distribution.MarsagliaTsangWangDiscreteSampler.AbstractMarsagliaTsangWangDiscreteSampler
toString
Methods inherited from class java.lang.Object
clone, equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait
Methods inherited from interface org.apache.commons.rng.sampling.distribution.DiscreteSampler
samples, samples
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Field Details
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t1
private final int t1Limit for look-up table 1. -
t2
private final int t2Limit for look-up table 2. -
t3
private final int t3Limit for look-up table 3. -
t4
private final int t4Limit for look-up table 4. -
table1
private final int[] table1Look-up table table1. -
table2
private final int[] table2Look-up table table2. -
table3
private final int[] table3Look-up table table3. -
table4
private final int[] table4Look-up table table4. -
table5
private final int[] table5Look-up table table5.
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Constructor Details
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MarsagliaTsangWangBase64Int32DiscreteSampler
MarsagliaTsangWangBase64Int32DiscreteSampler(UniformRandomProvider rng, String distributionName, int[] prob, int offset) - Parameters:
rng
- Generator of uniformly distributed random numbers.distributionName
- Distribution name.prob
- The probabilities.offset
- The offset (must be positive).
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MarsagliaTsangWangBase64Int32DiscreteSampler
private MarsagliaTsangWangBase64Int32DiscreteSampler(UniformRandomProvider rng, MarsagliaTsangWangDiscreteSampler.MarsagliaTsangWangBase64Int32DiscreteSampler source) - Parameters:
rng
- Generator of uniformly distributed random numbers.source
- Source to copy.
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Method Details
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fill
private static int fill(int[] table, int from, int to, int value) Fill the table with the value.- Parameters:
table
- Table.from
- Lower bound index (inclusive)to
- Upper bound index (exclusive)value
- Value.- Returns:
- the upper bound index
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sample
public int sample()Description copied from interface:DiscreteSampler
Creates anint
sample.- Returns:
- a sample.
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withUniformRandomProvider
Description copied from interface:SharedStateSampler
Create a new instance of the sampler with the same underlying state using the given uniform random provider as the source of randomness.- Parameters:
rng
- Generator of uniformly distributed random numbers.- Returns:
- the sampler
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