RandomNormal (HM Gears 0.10.7 API)

java.lang.Object
- oms3.ngmf.ui.calc.RandomNormal

```
public class RandomNormal
extends Object
```
Utility class that generates normally-distributed random values using several algorithms.

Constructor Summary

Constructors
Constructor Description

RandomNormal()

Method Summary

All Methods Instance Methods Concrete Methods
Modifier and Type	Method	Description
`float`	`nextCentral()`	Compute the next random value using the Central Limit Theorem, which states that the averages of sets of uniformly-distributed random values are normally distributed.
`float`	`nextPolar()`	Compute the next randomn value using the polar algorithm.
`float`	`nextRatio()`	Compute the next random value using the ratio algorithm.
`void`	`setParameters(float mean, float stddev)`	Set the mean and standard deviation.

Methods inherited from class java.lang.Object
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

- Constructor Detail
  - RandomNormal
```
public RandomNormal()
```
- Method Detail
  - setParameters
```
public void setParameters(float mean,
                          float stddev)
```
    Set the mean and standard deviation.
    
    Parameters:
    
    mean - the mean
    
    stddev - the standard deviation
  - nextCentral
```
public float nextCentral()
```
    Compute the next random value using the Central Limit Theorem, which states that the averages of sets of uniformly-distributed random values are normally distributed.
  - nextPolar
```
public float nextPolar()
```
    Compute the next randomn value using the polar algorithm. Requires two uniformly-distributed random values in [-1, +1). Actually computes two random values and saves the second one for the next invokation.
  - nextRatio
```
public float nextRatio()
```
    Compute the next random value using the ratio algorithm. Requires two uniformly-distributed random values in [0, 1).