misc.c File Reference

#include <stdlib.h>
#include <math.h>
#include "misc.h"

Functions
void	aspi_init_rand (int seed)
	Init random number generator.
double	aspi_misc_random_number (void)
	Random number.
double	aspi_misc_random_gaussian (double mean, double sigma)
	Gaussian random number.
int	aspi_misc_random_binomial (int runs, double proba)
int	aspi_misc_random_poisson (double lambda)
void	aspi_misc_poisson_set_runs (int runs)
double	aspi_misc_gaussian (double mu, double sigma, double x)
Variables
const void *	aspi_null = NULL

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Function Documentation

void aspi_init_rand

(

int

seed

)

Init random number generator.

Parameters:

seed,:

the seed

double aspi_misc_gaussian	(	double	mu,
		double	sigma,
		double	x
	)

Return a number of a gaussian function (not random distribution

References ASPI_PI.

void aspi_misc_poisson_set_runs

(

int

runs

)

Set the number of runs to calculate poisson law

Poisson law is appromixated by n runs of a binomial law. This function allows you to set this n.

int aspi_misc_random_binomial	(	int	runs,
		double	proba
	)

Return a number following a binomial law

Corresponds to running n Bernouilli trials.

Parameters:

	runs	: number of runs
	proba	: probability of each run

References aspi_misc_random_number().

Referenced by aspi_misc_random_poisson().

double aspi_misc_random_gaussian	(	double	mean,
		double	sigma
	)

Gaussian random number.

Return a number using a gaussian random law

Parameters:

	mean	: mean of the law
	sigma	: variance

References aspi_misc_random_number(), and ASPI_PI.

Referenced by aspi_leaky_update_voltage(), and aspi_network_ml_init_sparse().

double aspi_misc_random_number

(

void

)

Random number.

Generator must have been initialized with srand ()

Returns:

A random number between 0 and 1

Referenced by aspi_misc_random_binomial(), aspi_misc_random_gaussian(), and aspi_network_ml_init_sparse().

int aspi_misc_random_poisson

(

double

lambda

)

Return a number following a random gaussian law

Parameters:

lambda,:

the parameter to poisson law.

The law is approximated with n runs of a binomial law. You can set with this n with the aspi_misc_random_set_runs

References aspi_misc_random_binomial().

Referenced by aspi_network_ml_init_poisson().

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Variable Documentation

const void* aspi_null = NULL