Package org.hipparchus.random
Class SobolSequenceGenerator
java.lang.Object
org.hipparchus.random.SobolSequenceGenerator
- All Implemented Interfaces:
RandomVectorGenerator
Implementation of a Sobol sequence.
A Sobol sequence is a low-discrepancy sequence with the property that for all values of N, its subsequence (x1, ... xN) has a low discrepancy. It can be used to generate pseudo-random points in a space S, which are equi-distributed.
The implementation already comes with support for up to 1000 dimensions with direction numbers calculated from Stephen Joe and Frances Kuo.
The generator supports two modes:
- sequential generation of points:
nextVector()
- random access to the i-th point in the sequence:
skipTo(int)
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Constructor Summary
ConstructorDescriptionSobolSequenceGenerator
(int dimension) Construct a new Sobol sequence generator for the given space dimension.SobolSequenceGenerator
(int dimension, InputStream is) Construct a new Sobol sequence generator for the given space dimension with direction vectors loaded from the given stream. -
Method Summary
Modifier and TypeMethodDescriptionint
Returns the index i of the next point in the Sobol sequence that will be returned by callingnextVector()
.double[]
Generate a random vector.double[]
skipTo
(int index) Skip to the i-th point in the Sobol sequence.
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Constructor Details
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SobolSequenceGenerator
Construct a new Sobol sequence generator for the given space dimension.- Parameters:
dimension
- the space dimension- Throws:
MathIllegalArgumentException
- if the space dimension is outside the allowed range of [1, 1000]
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SobolSequenceGenerator
public SobolSequenceGenerator(int dimension, InputStream is) throws MathIllegalArgumentException, MathIllegalStateException, IOException Construct a new Sobol sequence generator for the given space dimension with direction vectors loaded from the given stream.The expected format is identical to the files available from Stephen Joe and Frances Kuo. The first line will be ignored as it is assumed to contain only the column headers. The columns are:
- d: the dimension
- s: the degree of the primitive polynomial
- a: the number representing the coefficients
- m: the list of initial direction numbers
d s a m_i 2 1 0 1 3 2 1 1 3
The input stream must be an ASCII text containing one valid direction vector per line.
- Parameters:
dimension
- the space dimensionis
- the stream to read the direction vectors from- Throws:
MathIllegalArgumentException
- if the space dimension is < 1MathIllegalArgumentException
- if the space dimension is outside the range [1, max], where max refers to the maximum dimension found in the input streamMathIllegalStateException
- if the content in the stream could not be parsed successfullyIOException
- if an error occurs while reading from the input stream
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Method Details
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nextVector
public double[] nextVector()Generate a random vector.- Specified by:
nextVector
in interfaceRandomVectorGenerator
- Returns:
- a random vector as an array of double.
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skipTo
Skip to the i-th point in the Sobol sequence.This operation can be performed in O(1).
- Parameters:
index
- the index in the sequence to skip to- Returns:
- the i-th point in the Sobol sequence
- Throws:
MathIllegalArgumentException
- if index < 0
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getNextIndex
public int getNextIndex()Returns the index i of the next point in the Sobol sequence that will be returned by callingnextVector()
.- Returns:
- the index of the next point
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