Documentation API of the 'jhplot.math.Random' Java class
Random
jhplot.math

## Class Random

• `public class Randomextends Object`
• ### Field Summary

Fields
Modifier and TypeField and Description
`static RandomSeedable``RandEngine`
• ### Constructor Summary

Constructors
Constructor and Description
`Random()`
• ### Method Summary

All Methods
Modifier and TypeMethod 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(Calculable 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 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(Calculable 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.

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Random
jhplot.math

## Class Random

• `public class Randomextends Object`