ContinuousSampler (Apache Commons RNG Sampling 1.6 API)

All Known Subinterfaces:

NormalizedGaussianSampler, SharedStateContinuousSampler

All Known Implementing Classes:

AhrensDieterExponentialSampler, AhrensDieterMarsagliaTsangGammaSampler, BoxMullerGaussianSampler, BoxMullerLogNormalSampler, BoxMullerNormalizedGaussianSampler, ChengBetaSampler, ContinuousUniformSampler, GaussianSampler, InverseTransformContinuousSampler, InverseTransformParetoSampler, LevySampler, LogNormalSampler, MarsagliaNormalizedGaussianSampler, StableSampler, TSampler, ZigguratNormalizedGaussianSampler, ZigguratSampler, ZigguratSampler.Exponential, ZigguratSampler.NormalizedGaussian
```
public interface ContinuousSampler
```
Sampler that generates values of type double.

Since:

1.0

Method Summary

All Methods Instance Methods Abstract Methods Default Methods
Modifier and Type	Method	Description
`double`	`sample()`	Creates a `double` sample.
`default DoubleStream`	`samples()`	Returns an effectively unlimited stream of `double` sample values.
`default DoubleStream`	`samples(long streamSize)`	Returns a stream producing the given `streamSize` number of `double` sample values.

- Method Detail
  - sample
```
double sample()
```
    Creates a double sample.
    
    Returns:
    
    a sample.
  - samples
```
default DoubleStream samples()
```
    Returns an effectively unlimited stream of double sample values.
    The default implementation produces a sequential stream that repeatedly calls sample().
    
    Returns:
    
    a stream of double values.
    
    Since:
    
    1.5
  - samples
```
default DoubleStream samples(long streamSize)
```
    Returns a stream producing the given streamSize number of double sample values.
    The default implementation produces a sequential stream that repeatedly calls sample(); the stream is limited to the given streamSize.
    
    Parameters:
    
    streamSize - Number of values to generate.
    
    Returns:
    
    a stream of double values.
    
    Since:
    
    1.5