ZigguratNormalizedGaussianSampler (VirtualDataSet API)

java.lang.Object
- org.apache.commons.rng.sampling.distribution.ZigguratNormalizedGaussianSampler

All Implemented Interfaces:

ContinuousSampler, NormalizedGaussianSampler
```
public class ZigguratNormalizedGaussianSampler
extends java.lang.Object
implements NormalizedGaussianSampler
```
Marsaglia and Tsang "Ziggurat" method for sampling from a Gaussian distribution with mean 0 and standard deviation 1.
The algorithm is explained in this paper and this implementation has been adapted from the C code provided therein.

Sampling uses:
- UniformRandomProvider.nextLong()
- UniformRandomProvider.nextDouble()
Since:

1.1

- Constructor Summary
  
  Constructors
  Constructor Description
  
  ZigguratNormalizedGaussianSampler(UniformRandomProvider rng)
- Method Summary
  
  Modifier and Type Method Description
  
  double sample()
  Creates a sample.
  
  java.lang.String toString()
  - Methods inherited from class java.lang.Object
    clone, equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait

- Constructor Detail
  - ZigguratNormalizedGaussianSampler
```
public ZigguratNormalizedGaussianSampler(UniformRandomProvider rng)
```
    Parameters:
    
    rng - Generator of uniformly distributed random numbers.
- Method Detail
  - sample
```
public double sample()
```
    Creates a sample.
    
    Specified by:
    
    sample in interface ContinuousSampler
    
    Returns:
    
    a sample.
  - toString
```
public java.lang.String toString()
```
    Overrides:
    
    toString in class java.lang.Object