random.h File Reference

#include <cassert>
#include <limits>
#include <random>
#include <utility>
#include <vector>

Go to the source code of this file.

Classes
class	smash::random::uniform_dist< T >
	Provides uniform random numbers on a fixed interval. More...
class	smash::random::discrete_dist< T >
	Discrete distribution with weight given by probability vector. More...
class	smash::random::BesselSampler
	The intention of this class is to efficiently sample \( (N_1, N_2) \) from the Bessel distribution \( p(N_1,N_2) \sim \mathrm{Poi}(\nu_1) \mathrm{Poi}(\nu_2) \delta(N_1 - N_2 = N)\), where \(\mathrm{Poi}(\nu)\) denotes Poisson distribution with mean \(\nu\). More...

Namespaces
	smash
	smash::random
	Namespace random provides functions for random Number Generation.

Typedefs
using	smash::random::Engine = std::mt19937_64
	The random number engine used is the Mersenne Twister. More...

Functions
int64_t	smash::random::generate_63bit_seed ()
	Generates a seed with a truly random 63-bit value, if possible. More...
template<typename T >
void	smash::random::set_seed (T &&seed)
	Sets the seed of the random number engine. More...
Engine::result_type	smash::random::advance ()
	Advance the engine's state and return the generated value. More...
template<typename T >
T	smash::random::uniform (T min, T max)
template<typename T >
T	smash::random::uniform_int (T min, T max)
template<typename T = double>
T	smash::random::canonical ()
template<typename T = double>
T	smash::random::canonical_nonzero ()
template<typename T >
uniform_dist< T >	smash::random::make_uniform_distribution (T min, T max)
template<typename T = double>
T	smash::random::exponential (T lambda)
	Draws an exponentially distributed random number. More...
template<typename T = double>
T	smash::random::expo (T A, T x1, T x2)
	Draws a random number x from an exponential distribution exp(A*x), where A is assumed to be positive, and x is typically negative. More...
template<typename T >
int	smash::random::sgn (T val)
	Signum function. More...
template<typename T = double>
T	smash::random::power (T n, T xMin, T xMax)
	Draws a random number according to a power-law distribution ~ x^n. More...
template<typename T >
int	smash::random::poisson (const T &lam)
	Returns a Poisson distributed random number. More...
template<typename T >
int	smash::random::binomial (const int N, const T &p)
	Returns a binomially distributed random number. More...
template<typename T >
double	smash::random::normal (const T &mean, const T &sigma)
	Returns a random number drawn from a normal distribution. More...
template<typename T = double>
T	smash::random::cauchy (T pole, T width, T min, T max)
	Draws a random number from a Cauchy distribution (sometimes also called Lorentz or non-relativistic Breit-Wigner distribution) with the given parameters (constant width!) inside the range [min,max]. More...
template<typename T = double>
T	smash::random::beta (T a, T b)
	Draws a random number from a beta-distribution, where probability density of \(x\) is \(p(x) = frac{\Gamma(a)\Gamma(b)}{Gamma(a+b)} x^{a-1} (1-x)^{b-1}\). More...
template<typename T = double>
T	smash::random::beta_a0 (T xmin, T b)
	Draws a random number from a beta-distribution with a = 0. More...

Variables
Engine	smash::random::engine
	The engine that is used commonly by all distributions. More...