NAME¶

std::gamma_distribution< _RealType > -

SYNOPSIS¶

Public Types¶

typedef _RealType input_type typedef _RealType result_type

Public Member Functions¶

_RealType alpha () const gamma_distribution (const result_type &__alpha_val=result_type(1)) template<class _UniformRandomNumberGenerator > result_type operator() (_UniformRandomNumberGenerator &__urng) void reset ()

Friends¶

template<typename _RealType1 , typename _CharT , typename _Traits > std::basic_ostream< _CharT, _Traits > & operator<< (std::basic_ostream< _CharT, _Traits > &__os, const gamma_distribution< _RealType1 > &__x)" template<typename _CharT , typename _Traits > std::basic_istream< _CharT, _Traits > & operator>> (std::basic_istream< _CharT, _Traits > &__is, gamma_distribution &__x)"

Detailed Description¶

template<typename _RealType = double>class std::gamma_distribution< _RealType >¶

A gamma continuous distribution for random numbers. The formula for the gamma probability mass function is $ p(x) = ac{1}{Gamma(alpha)} x^{alpha - 1} e^{-x} $. Definition at line 2320 of file tr1_impl/random.

Constructor & Destructor Documentation¶

template<typename _RealType = double> std::gamma_distribution< _RealType >:: gamma_distribution (const result_type &__alpha_val = result_type(1)) [inline], [explicit]¶

Constructs a gamma distribution with parameters $ alpha $. Definition at line 2332 of file tr1_impl/random.

Member Function Documentation¶

template<typename _RealType = double> _RealType std::gamma_distribution< _RealType >::alpha () const [inline]¶

Gets the $ alpha $ of the distribution. Definition at line 2343 of file tr1_impl/random.

template<typename _RealType > template<class _UniformRandomNumberGenerator > gamma_distribution< _RealType >::result_type std::gamma_distribution< _RealType >::operator() (_UniformRandomNumberGenerator &__urng)¶

Cheng's rejection algorithm GB for alpha >= 1 and a modification of Vaduva's rejection from Weibull algorithm due to Devroye for alpha < 1. References: Cheng, R. C. 'The Generation of Gamma Random Variables with Non-integral Shape Parameter.' Applied Statistics, 26, 71-75, 1977. Vaduva, I. 'Computer Generation of Gamma Gandom Variables by Rejection and Composition Procedures.' Math. Operationsforschung and Statistik, Series in Statistics, 8, 545-576, 1977. Devroye, L. 'Non-Uniform Random Variates Generation.' Springer-Verlag, New York, 1986, Ch. IX, Sect. 3.4 (+ Errata!). Definition at line 1501 of file random.tcc. References std::exp(), std::log(), and std::pow().

template<typename _RealType = double> void std::gamma_distribution< _RealType >::reset () [inline]¶

Resets the distribution. Definition at line 2350 of file tr1_impl/random.

Friends And Related Function Documentation¶

template<typename _RealType = double> template<typename _RealType1 , typename _CharT , typename _Traits > std::basic_ostream<_CharT, _Traits>& operator<< ( std::basic_ostream< _CharT, _Traits > &__os, const gamma_distribution< _RealType1 > &__x) [friend]¶

Inserts a gamma_distribution random number distribution __x into the output stream __os. Parameters: Returns:

template<typename _RealType = double> template<typename _CharT , typename _Traits > std::basic_istream<_CharT, _Traits>& operator>> ( std::basic_istream< _CharT, _Traits > &__is, gamma_distribution< _RealType > &__x) [friend]¶

Extracts a gamma_distribution random number distribution __x from the input stream __is. Parameters: Returns: Definition at line 2382 of file tr1_impl/random.

Author¶

Generated automatically by Doxygen for libstdc++ from the source code.