Random

java.lang.Object
- jhplot.math.Random

```
public class Random
extends Object
```
BSD License

Field Summary

Fields
Modifier and Type Field and Description

static edu.cornell.lassp.houle.RngPack.RandomSeedable RandEngine

Fields
Modifier and Type	Field and Description
`static edu.cornell.lassp.houle.RngPack.RandomSeedable`	`RandEngine`

Constructor Summary

Constructors
Constructor and Description

Random()

Constructors
Constructor and Description
`Random()`

Method Summary

All Methods Static Methods Concrete Methods
Modifier and Type	Method and Description
`static double`	`beta(double a, double b)` Generate a random number from a beta random variable.
`static double`	`cauchy(double mu, double sigma)` Generate a random number from a Cauchy random variable (Mean = Inf, and Variance = Inf).
`static double`	`chi2(int n)` Generate a random number from a Chi-2 random variable.
`static double`	`dirac(double[] values, double[] prob)` Generate a random number from a discrete random variable.
`static double`	`exponential(double lambda)` Generate a random number from an exponantial random variable (Mean = 1/lambda, variance = 1/lambda^2).
`static double`	`logNormal(double mu, double sigma)` Generate a random number from a LogNormal random variable.
`static double`	`normal(double mu, double sigma)` Generate a random number from a Gaussian (Normal) random variable.
`static double`	`rand()` Generate a random number between 0 and 1.
`static int`	`randInt(int i0, int i1)` Generate a random integer.
`static double`	`raw()` Generate a random number between 0 and 1.
`static double`	`rejection(Expression fun, double maxFun, double min, double max)` Generate a random number from a random variable definied by its density function, using the rejection technic.
`static double`	`rejection(Function fun, double maxFun, double min, double max)` Generate a random number from a random variable definied by its density function, using the rejection technic.
`static double`	`triangular(double min, double max)` Generate a random number from a symetric triangular random variable.
`static double`	`triangular(double min, double med, double max)` Generate a random number from a non-symetric triangular random variable.
`static double`	`uniform(double min, double max)` Generate a random number from a uniform random variable.
`static double`	`weibull(double lambda, double c)` Generate a random number from a Weibull random variable.

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

- Field Detail
  - RandEngine
```
public static edu.cornell.lassp.houle.RngPack.RandomSeedable RandEngine
```
- Constructor Detail
  - Random
```
public Random()
```
- Method Detail
  - rand
```
public static double rand()
```
    Generate a random number between 0 and 1. maybe changed for a better random number generator if needed.
    
    Returns:
    
    A double between 0 and 1.
  - raw
```
public static double raw()
```
    Generate a random number between 0 and 1. maybe changed for a better random number generator if needed.
    
    Returns:
    
    A double between 0 and 1.
  - randInt
```
public static int randInt(int i0,
                          int i1)
```
    Generate a random integer.
    
    Parameters:
    
    i0 - Min of the random variable.
    
    i1 - Max of the random variable.
    
    Returns:
    
    An int between i0 and i1.
  - uniform
```
public static double uniform(double min,
                             double max)
```
    Generate a random number from a uniform random variable.
    
    Parameters:
    
    min - Min of the random variable.
    
    max - Max of the random variable.
    
    Returns:
    
    A double.
  - dirac
```
public static double dirac(double[] values,
                           double[] prob)
```
    Generate a random number from a discrete random variable.
    
    Parameters:
    
    values - Discrete values.
    
    prob - Probability of each value.
    
    Returns:
    
    A double.
  - normal
```
public static double normal(double mu,
                            double sigma)
```
    Generate a random number from a Gaussian (Normal) random variable.
    
    Parameters:
    
    mu - Mean of the random variable.
    
    sigma - Standard deviation of the random variable.
    
    Returns:
    
    A double.
  - chi2
```
public static double chi2(int n)
```
    Generate a random number from a Chi-2 random variable.
    
    Parameters:
    
    n - Degrees of freedom of the chi2 random variable.
    
    Returns:
    
    A double.
  - logNormal
```
public static double logNormal(double mu,
                               double sigma)
```
    Generate a random number from a LogNormal random variable.
    
    Parameters:
    
    mu - Mean of the Normal random variable.
    
    sigma - Standard deviation of the Normal random variable.
    
    Returns:
    
    A double.
  - exponential
```
public static double exponential(double lambda)
```
    Generate a random number from an exponantial random variable (Mean = 1/lambda, variance = 1/lambda^2).
    
    Parameters:
    
    lambda - Parmaeter of the exponential random variable.
    
    Returns:
    
    A double.
  - triangular
```
public static double triangular(double min,
                                double max)
```
    Generate a random number from a symetric triangular random variable.
    
    Parameters:
    
    min - Min of the random variable.
    
    max - Max of the random variable.
    
    Returns:
    
    A double.
  - triangular
```
public static double triangular(double min,
                                double med,
                                double max)
```
    Generate a random number from a non-symetric triangular random variable.
    
    Parameters:
    
    min - Min of the random variable.
    
    med - Value of the random variable with max density.
    
    max - Max of the random variable.
    
    Returns:
    
    A double.
  - beta
```
public static double beta(double a,
                          double b)
```
    Generate a random number from a beta random variable.
    
    Parameters:
    
    a - First parameter of the Beta random variable.
    
    b - Second parameter of the Beta random variable.
    
    Returns:
    
    A double.
  - cauchy
```
public static double cauchy(double mu,
                            double sigma)
```
    Generate a random number from a Cauchy random variable (Mean = Inf, and Variance = Inf).
    
    Parameters:
    
    mu - Median of the Weibull random variable
    
    sigma - Second parameter of the Cauchy random variable.
    
    Returns:
    
    A double.
  - weibull
```
public static double weibull(double lambda,
                             double c)
```
    Generate a random number from a Weibull random variable.
    
    Parameters:
    
    lambda - First parameter of the Weibull random variable.
    
    c - Second parameter of the Weibull random variable.
    
    Returns:
    
    A double.
  - rejection
```
public static double rejection(Function fun,
                               double maxFun,
                               double min,
                               double max)
```
    Generate a random number from a random variable definied by its density function, using the rejection technic. !!! WARNING : this simulation technic can take a very long time !!!
    
    Parameters:
    
    fun - Density function (may be not normalized) of the random variable.
    
    maxFun - Max of the function.
    
    min - Min of the random variable.
    
    max - Max of the random variable.
    
    Returns:
    
    A double.
  - rejection
```
public static double rejection(Expression fun,
                               double maxFun,
                               double min,
                               double max)
```
    Generate a random number from a random variable definied by its density function, using the rejection technic. !!! WARNING : this simulation technic can take a very long time !!!
    
    Parameters:
    
    fun - Density function (may be not normalized) of the random variable.
    
    maxFun - Max of the function.
    
    min - Min of the random variable.
    
    max - Max of the random variable.
    
    Returns:
    
    A double.

Class Random

Field Summary

Constructor Summary

Method Summary

Methods inherited from class java.lang.Object

Field Detail

RandEngine

Constructor Detail

Random

Method Detail

rand

raw

randInt

uniform

dirac

normal

chi2

logNormal

exponential

triangular

triangular

beta

cauchy

weibull

rejection

rejection