Package org.apache.commons.rng.sampling
Class UnitSphereSampler
- java.lang.Object
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- org.apache.commons.rng.sampling.UnitSphereSampler
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- All Implemented Interfaces:
ObjectSampler<double[]>
,SharedStateObjectSampler<double[]>
,SharedStateSampler<SharedStateObjectSampler<double[]>>
public class UnitSphereSampler extends Object implements SharedStateObjectSampler<double[]>
Generate vectors isotropically located on the surface of a sphere.Sampling in 2 or more dimensions uses:
Sampling in 1D uses the sign bit from
UniformRandomProvider.nextInt()
to set the direction of the vector.- Since:
- 1.1
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Constructor Summary
Constructors Constructor Description UnitSphereSampler(int dimension, UniformRandomProvider rng)
Deprecated.
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Method Summary
All Methods Static Methods Instance Methods Concrete Methods Deprecated Methods Modifier and Type Method Description double[]
nextVector()
Deprecated.Usesample()
.static UnitSphereSampler
of(UniformRandomProvider rng, int dimension)
Create a unit sphere sampler for the given dimension.double[]
sample()
Create an object sample.UnitSphereSampler
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 java.lang.Object
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait
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Methods inherited from interface org.apache.commons.rng.sampling.ObjectSampler
samples, samples
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Constructor Detail
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UnitSphereSampler
@Deprecated public UnitSphereSampler(int dimension, UniformRandomProvider rng)
Deprecated.This instance delegates sampling. Use the factory methodof(UniformRandomProvider, int)
to create an optimal sampler.- Parameters:
dimension
- Space dimension.rng
- Generator for the individual components of the vectors. A shallow copy will be stored in this instance.- Throws:
IllegalArgumentException
- Ifdimension <= 0
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Method Detail
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sample
public double[] sample()
Description copied from interface:ObjectSampler
Create an object sample.- Specified by:
sample
in interfaceObjectSampler<double[]>
- Returns:
- a random normalized Cartesian vector.
- Since:
- 1.4
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nextVector
@Deprecated public double[] nextVector()
Deprecated.Usesample()
.- Returns:
- a random normalized Cartesian vector.
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withUniformRandomProvider
public UnitSphereSampler 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.- Specified by:
withUniformRandomProvider
in interfaceSharedStateSampler<SharedStateObjectSampler<double[]>>
- Parameters:
rng
- Generator of uniformly distributed random numbers.- Returns:
- the sampler
- Since:
- 1.3
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of
public static UnitSphereSampler of(UniformRandomProvider rng, int dimension)
Create a unit sphere sampler for the given dimension.- Parameters:
rng
- Generator for the individual components of the vectors. A shallow copy will be stored in the sampler.dimension
- Space dimension.- Returns:
- the sampler
- Throws:
IllegalArgumentException
- Ifdimension <= 0
- Since:
- 1.4
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