This class allows you to generate random numbers, and uses the GNU Scientific Library for this. More...

#include <gslrandomnumbergenerator.h>

Public Member Functions
	GslRandomNumberGenerator ()
	Initialize the random number generator with a random seed, A specific seed can still be forced by setting the MNRM_DEBUG_SEED environment variable (can be useful for testing purposes).

	GslRandomNumberGenerator (int seed)
	Initialize the random number generator with a specific seed.

unsigned long	getSeed () const
	Returns the seed used for the random number generator.

double	pickRandomDouble ()
	Generate a random floating point number in the interval [0,1].

int	pickRandomInt (int min, int max)
	Chooses a random number from `min` to `max` (both are included).

unsigned int	pickPoissonNumber (double lambda)
	Chooses a random number according to the Poisson distribution with parameter `lambda`.

unsigned int	pickBinomialNumber (double p, unsigned int n)
	Pick a random number from the binomial distribution, for `n` trials with a probability of success `p` for each trial.

double	pickGaussianNumber (double mean, double sigma)
	Picks a random number from the gaussian distribution with parameters `mean` and `sigma`.

double	pickBetaNumber (double a, double b)
	Pick a random number from a beta distribution with `a` and `b` as values for $\alpha$ and $\beta$ respectively.

double	pickWeibull (double lambda, double kappa)
	Picks a random number from a Weibull distribution with specified parameters.

double	pickWeibull (double lambda, double kappa, double ageMin)
	Picks a random number from a distribution which has a Weibull shape with specified parameters above `ageMin`, and which is zero below that age.

double	pickLogNorm (double zeta, double sigma)
	Picks a random number from a log-normal distribution with parameters `zeta` and `sigma`.

double	pickGamma (double a, double b)
	Picks a random number from the gamma distribution with `a` and `b` defined as in the formula prob(x) = x^(a-1)exp(-x/b)/(b^a Gamma(a)) .

std::pair< double, double >	pickBivariateGaussian (double muX, double muY, double sigmaX, double sigmaY, double rho)
	Picks a random number from a two dimensional gaussian distribution with specified parameters (rho is the correlation coefficient).

Detailed Description

This class allows you to generate random numbers, and uses the GNU Scientific Library for this.

The documentation for this class was generated from the following files:

src/lib/mnrm/gslrandomnumbergenerator.h
src/lib/mnrm/gslrandomnumbergenerator.cpp

Public Member Functions

Detailed Description