## Class ContinuousUniformSampler

• 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
• ### Constructor Summary

Constructors
Constructor Description
ContinuousUniformSampler​(UniformRandomProvider rng, double lo, double hi)
• ### Method Summary

All 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
• ### Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait
• ### Constructor Detail

• #### ContinuousUniformSampler

public ContinuousUniformSampler​(UniformRandomProvider rng,
double lo,
double hi)
Parameters:
rng - Generator of uniformly distributed random numbers.
lo - Lower bound.
hi - Higher bound.
• ### Method Detail

• #### sample

public double sample()
Creates a sample.
Specified by:
sample in interface ContinuousSampler
Returns:
a sample.
• #### toString

public String toString()
Overrides:
toString in class SamplerBase
• #### 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 interface SharedStateSampler<SharedStateContinuousSampler>
Parameters:
rng - Generator of uniformly distributed random numbers.
Returns:
the sampler
Since:
1.3
• #### 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
• #### 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 when x is Double.MIN_VALUE.

Parameters:
rng - Generator of uniformly distributed random numbers.
lo - Lower bound.
hi - Higher bound.
excludeBounds - Set to true to use the open interval (lower, upper).
Returns:
the sampler
Throws:
IllegalArgumentException - If the open interval is invalid.
Since:
1.4