rndgen.h File Reference

Random number generator stub functions and classes. More...

#include <stdlib.h>
#include <math.h>
#include <gsl/gsl_rng.h>
#include <gsl/gsl_randist.h>

Include dependency graph for rndgen.h:

This graph shows which files directly or indirectly include this file:

Go to the source code of this file.

Classes
class	UniformDoubleRndGen
	uniform double random generator More...
class	UniformIntRndGen
	uniform long int random generator More...
class	ExponentialRndGen
	exponential random generator More...
class	GaussianRndGen
	Gaussian random generator. More...
class	Geometric0RndGen
	Geometric random generator. More...
class	Geometric1RndGen
	Geometric random generator. More...
class	ParetoRndGen
	Pareto random generator. More...
class	WeibullRndGen
	Weibull random generator. More...
class	RayleighRndGen
	Rayleigh random generator. More...
Functions
void	SetSeed (char *genType, int seed)
	Set the random generator type and the seed.
double	rndUniformDouble (double low=0.0, double high=1.0)
	uniform double random generator
long int	rndUniformInt (long int low=0, long int high=1)
	uniform long int random generator
double	rndExponential (double M)
	exponential random generator
double	rndGaussian (double M, double sigma)
	Gaussian random generator.
unsigned int	rndGeometric0 (double M)
	Geometric random generator.
unsigned int	rndGeometric1 (double M)
	Geometric random generator.
long int	rndNegativeBinomial (long r, float p)
	Negative Binomial random generator.
double	rndPareto (double location, double shape)
	Pareto random generator.
double	rndWeibull (double location, double scale, double shape)
	Weibull random generator.
double	rndRayleigh (double sigma)
	Rayleigh random generator.
void	rndShuffle (void *vect, size_t size, size_t elem_size)
	Shuffle an array.

---

Detailed Description

Random number generator stub functions and classes.

The functions and classes defined here are designed as stub against a 'real' random number generator. Almost each random number generation type can be called as a direct function (named rng<genType>) or via a class (named <gentype>RndGen).

Each class provide a constructor where you must set the distribution parameters and a public function get() returning the random number.

---