MarsagliaNormalizedGaussianSampler (Apache Commons RNG Sampling 1.4 API)

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

All Implemented Interfaces:

ContinuousSampler, NormalizedGaussianSampler, SharedStateContinuousSampler, SharedStateSampler<SharedStateContinuousSampler>
```
public class MarsagliaNormalizedGaussianSampler
extends Object
implements NormalizedGaussianSampler, SharedStateContinuousSampler
```
Marsaglia polar method for sampling from a Gaussian distribution with mean 0 and standard deviation 1. This is a variation of the algorithm implemented in BoxMullerNormalizedGaussianSampler.
Sampling uses UniformRandomProvider.nextDouble().

Since:

1.1

Constructor Summary

Constructors
Constructor Description

MarsagliaNormalizedGaussianSampler(UniformRandomProvider rng)

Method Summary

All Methods Static Methods Instance Methods Concrete Methods
Modifier and Type	Method	Description
`static <S extends NormalizedGaussianSampler & SharedStateContinuousSampler> S`	`of(UniformRandomProvider rng)`	Create a new normalised Gaussian 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 java.lang.Object
clone, equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait

- Constructor Detail
  - MarsagliaNormalizedGaussianSampler
```
public MarsagliaNormalizedGaussianSampler(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 String toString()
```
    Overrides:
    
    toString in class Object
  - 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 <S extends NormalizedGaussianSampler & SharedStateContinuousSampler> S of(UniformRandomProvider rng)
```
    Create a new normalised Gaussian sampler.
    
    Type Parameters:
    
    S - Sampler type.
    
    Parameters:
    
    rng - Generator of uniformly distributed random numbers.
    
    Returns:
    
    the sampler
    
    Since:
    
    1.3