ZigguratSampler.NormalizedGaussian (Apache Commons RNG Sampling 1.4 API)

java.lang.Object
- org.apache.commons.rng.sampling.distribution.ZigguratSampler
- - org.apache.commons.rng.sampling.distribution.ZigguratSampler.NormalizedGaussian

All Implemented Interfaces:

ContinuousSampler, NormalizedGaussianSampler, SharedStateContinuousSampler, SharedStateSampler<SharedStateContinuousSampler>

Enclosing class:

ZigguratSampler
```
public static final class ZigguratSampler.NormalizedGaussian
extends ZigguratSampler
implements NormalizedGaussianSampler, SharedStateContinuousSampler
```
Modified ziggurat method for sampling from a Gaussian distribution with mean 0 and standard deviation 1.
Note: The algorithm is a modification of the Marsaglia and Tsang "Ziggurat" method. The modification improves performance of the rejection method used to generate samples at the edge of the ziggurat.

See Also:

NormalizedGaussianSampler, GaussianSampler

Nested Class Summary
- Nested classes/interfaces inherited from class org.apache.commons.rng.sampling.distribution.ZigguratSampler
  ZigguratSampler.Exponential, ZigguratSampler.NormalizedGaussian

Method Summary

All Methods Static Methods Instance Methods Concrete Methods
Modifier and Type	Method	Description
`static ZigguratSampler.NormalizedGaussian`	`of(UniformRandomProvider rng)`	Create a new normalised Gaussian sampler.
`double`	`sample()`	Creates a sample.
`String`	`toString()`
`ZigguratSampler.NormalizedGaussian`	`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, wait, wait, wait

- Method Detail
  - toString
```
public String toString()
```
    Overrides:
    
    toString in class Object
  - sample
```
public double sample()
```
    Creates a sample.
    
    Specified by:
    
    sample in interface ContinuousSampler
    
    Returns:
    
    a sample.
  - withUniformRandomProvider
```
public ZigguratSampler.NormalizedGaussian 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
  - of
```
public static ZigguratSampler.NormalizedGaussian of(UniformRandomProvider rng)
```
    Create a new normalised Gaussian sampler.
    
    Parameters:
    
    rng - Generator of uniformly distributed random numbers.
    
    Returns:
    
    the sampler