Class ContinuousUniformSampler
- java.lang.Object
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- org.apache.commons.rng.sampling.distribution.SamplerBase
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- org.apache.commons.rng.sampling.distribution.ContinuousUniformSampler
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- All Implemented Interfaces:
ContinuousSampler
,SharedStateContinuousSampler
,SharedStateSampler<SharedStateContinuousSampler>
public class ContinuousUniformSampler extends SamplerBase implements SharedStateContinuousSampler
Sampling from a uniform distribution.Sampling uses
UniformRandomProvider.nextDouble()
.- Since:
- 1.0
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Constructor Summary
Constructors Constructor Description ContinuousUniformSampler(UniformRandomProvider rng, double lo, double hi)
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Method Summary
All Methods Static Methods Instance Methods Concrete Methods Modifier and Type Method Description static SharedStateContinuousSampler
of(UniformRandomProvider rng, double lo, double hi)
Creates a new continuous uniform distribution sampler.static SharedStateContinuousSampler
of(UniformRandomProvider rng, double lo, double hi, boolean excludeBounds)
Creates a new continuous uniform distribution sampler.double
sample()
Creates a sample.String
toString()
SharedStateContinuousSampler
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 org.apache.commons.rng.sampling.distribution.SamplerBase
nextDouble, nextInt, nextInt, nextLong
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Constructor Detail
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ContinuousUniformSampler
public ContinuousUniformSampler(UniformRandomProvider rng, double lo, double hi)
- Parameters:
rng
- Generator of uniformly distributed random numbers.lo
- Lower bound.hi
- Higher bound.
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Method Detail
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sample
public double sample()
Creates a sample.- Specified by:
sample
in interfaceContinuousSampler
- Returns:
- a sample.
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toString
public String toString()
- Overrides:
toString
in classSamplerBase
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withUniformRandomProvider
public SharedStateContinuousSampler 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<SharedStateContinuousSampler>
- Parameters:
rng
- Generator of uniformly distributed random numbers.- Returns:
- the sampler
- Since:
- 1.3
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of
public static SharedStateContinuousSampler of(UniformRandomProvider rng, double lo, double hi)
Creates a new continuous uniform distribution sampler.- Parameters:
rng
- Generator of uniformly distributed random numbers.lo
- Lower bound.hi
- Higher bound.- Returns:
- the sampler
- Since:
- 1.3
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of
public static SharedStateContinuousSampler of(UniformRandomProvider rng, double lo, double hi, boolean excludeBounds)
Creates a new continuous uniform distribution sampler.The bounds can be optionally excluded to sample from the open interval
(lower, upper)
. In this case if the bounds have the same sign the open interval must contain at least 1 double value between the limits; if the bounds have opposite signs the open interval must contain at least 2 double values between the limits excluding-0.0
. Thus the interval(-x,x)
will raise an exception whenx
isDouble.MIN_VALUE
.- Parameters:
rng
- Generator of uniformly distributed random numbers.lo
- Lower bound.hi
- Higher bound.excludeBounds
- Set totrue
to use the open interval(lower, upper)
.- Returns:
- the sampler
- Throws:
IllegalArgumentException
- If the open interval is invalid.- Since:
- 1.4
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