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.

Since:

1.3

Field Summary

Fields

Modifier and Type	Field	Description
private final int	t1	Limit for look-up table 1.
private final int	t2	Limit for look-up table 2.
private final int	t3	Limit for look-up table 3.
private final int	t4	Limit for look-up table 4.
private final int[]	table1	Look-up table table1.
private final int[]	table2	Look-up table table2.
private final int[]	table3	Look-up table table3.
private final int[]	table4	Look-up table table4.
private final int[]	table5	Look-up table table5.

Fields inherited from class MarsagliaTsangWangDiscreteSampler.AbstractMarsagliaTsangWangDiscreteSampler

rng

Constructor Summary

Constructors

Modifier	Constructor	Description
(package private)	MarsagliaTsangWangBase64Int32DiscreteSampler(UniformRandomProvider rng, String distributionName, int[] prob, int offset)
private	MarsagliaTsangWangBase64Int32DiscreteSampler(UniformRandomProvider rng, MarsagliaTsangWangDiscreteSampler.MarsagliaTsangWangBase64Int32DiscreteSampler source)

Method Summary

Modifier and Type	Method	Description
private static int	fill(int[] table, int from, int to, int value)	Fill the table with the value.
int	sample()	Creates an int sample.
SharedStateDiscreteSampler	withUniformRandomProvider(UniformRandomProvider rng)	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 MarsagliaTsangWangDiscreteSampler.AbstractMarsagliaTsangWangDiscreteSampler

toString

Methods inherited from class Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait

Methods inherited from interface DiscreteSampler

samples, samples

Field Details

t1

private final int t1

Limit for look-up table 1.

t2

private final int t2

Limit for look-up table 2.

t3

private final int t3

Limit for look-up table 3.

t4

private final int t4

Limit for look-up table 4.

table1

private final int[] table1

Look-up table table1.

table2

private final int[] table2

Look-up table table2.

table3

private final int[] table3

Look-up table table3.

table4

private final int[] table4

Look-up table table4.

table5

private final int[] table5

Look-up table table5.

Constructor Details

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).

MarsagliaTsangWangBase64Int32DiscreteSampler

private MarsagliaTsangWangBase64Int32DiscreteSampler(UniformRandomProvider rng,
 MarsagliaTsangWangDiscreteSampler.MarsagliaTsangWangBase64Int32DiscreteSampler source)

Parameters:

rng - Generator of uniformly distributed random numbers.

source - Source to copy.

Method Details

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

sample

public int sample()

Description copied from interface: DiscreteSampler

Creates an int sample.

Returns:

a sample.

withUniformRandomProvider

public SharedStateDiscreteSampler withUniformRandomProvider(UniformRandomProvider rng)

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