Uses of Interface
org.apache.commons.rng.sampling.distribution.LongSampler
Packages that use LongSampler
Package
Description
This package provides sampling utilities.
This package contains classes for sampling from statistical distributions.
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Uses of LongSampler in org.apache.commons.rng.sampling
Classes in org.apache.commons.rng.sampling that implement LongSamplerModifier and TypeClassDescriptionprivate static final class
A composite long sampler.private static final class
A composite long sampler with shared state support.Methods in org.apache.commons.rng.sampling that return LongSamplerModifier and TypeMethodDescriptionCompositeSamplers.LongSamplerFactory.createSampler
(DiscreteSampler discreteSampler, List<LongSampler> samplers) Methods in org.apache.commons.rng.sampling that return types with arguments of type LongSamplerModifier and TypeMethodDescriptionstatic CompositeSamplers.Builder
<LongSampler> CompositeSamplers.newLongSamplerBuilder()
Create a new builder for a compositeLongSampler
.Method parameters in org.apache.commons.rng.sampling with type arguments of type LongSamplerModifier and TypeMethodDescriptionCompositeSamplers.LongSamplerFactory.createSampler
(DiscreteSampler discreteSampler, List<LongSampler> samplers) Constructor parameters in org.apache.commons.rng.sampling with type arguments of type LongSamplerModifierConstructorDescription(package private)
CompositeLongSampler
(DiscreteSampler discreteSampler, List<LongSampler> samplers) -
Uses of LongSampler in org.apache.commons.rng.sampling.distribution
Subinterfaces of LongSampler in org.apache.commons.rng.sampling.distributionModifier and TypeInterfaceDescriptioninterface
Sampler that generates values of typelong
and can create new instances to sample from the same state with a given source of randomness.Classes in org.apache.commons.rng.sampling.distribution that implement LongSamplerModifier and TypeClassDescriptionclass
Discrete uniform distribution sampler generating values of typelong
.private static final class
Discrete uniform distribution sampler when the sample value is fixed.private static final class
Discrete uniform distribution sampler when the range between lower and upper is too large to fit in a positive long.private static final class
Adds an offset to an underlying discrete sampler.private static final class
Discrete uniform distribution sampler when the range is a power of 2 and greater than 1.private static final class
Discrete uniform distribution sampler when the range is small enough to fit in a positive long.