Provided by: libstdc++-13-doc_13.2.0-23ubuntu4_all
NAME
std::poisson_distribution< _IntType > - A discrete Poisson random number distribution.
SYNOPSIS
#include <random> Classes struct param_type Public Types typedef _IntType result_type Public Member Functions poisson_distribution (const param_type &__p) poisson_distribution (double __mean) template<typename _ForwardIterator , typename _UniformRandomNumberGenerator > void __generate (_ForwardIterator __f, _ForwardIterator __t, _UniformRandomNumberGenerator &__urng) template<typename _ForwardIterator , typename _UniformRandomNumberGenerator > void __generate (_ForwardIterator __f, _ForwardIterator __t, _UniformRandomNumberGenerator &__urng, const param_type &__p) template<typename _UniformRandomNumberGenerator > void __generate (result_type *__f, result_type *__t, _UniformRandomNumberGenerator &__urng, const param_type &__p) result_type max () const Returns the least upper bound value of the distribution. double mean () const Returns the distribution parameter mean. result_type min () const Returns the greatest lower bound value of the distribution. template<typename _UniformRandomNumberGenerator > result_type operator() (_UniformRandomNumberGenerator &__urng) Generating functions. template<typename _UniformRandomNumberGenerator > result_type operator() (_UniformRandomNumberGenerator &__urng, const param_type &__p) param_type param () const Returns the parameter set of the distribution. void param (const param_type &__param) Sets the parameter set of the distribution. void reset () Resets the distribution state. Friends template<typename _IntType1 , typename _CharT , typename _Traits > std::basic_ostream< _CharT, _Traits > & operator<< (std::basic_ostream< _CharT, _Traits > &__os, const std::poisson_distribution< _IntType1 > &__x) Inserts a poisson_distribution random number distribution __x into the output stream __os. bool operator== (const poisson_distribution &__d1, const poisson_distribution &__d2) Return true if two Poisson distributions have the same parameters and the sequences that would be generated are equal. template<typename _IntType1 , typename _CharT , typename _Traits > std::basic_istream< _CharT, _Traits > & operator>> (std::basic_istream< _CharT, _Traits > &__is, std::poisson_distribution< _IntType1 > &__x) Extracts a poisson_distribution random number distribution __x from the input stream __is.
Detailed Description
template<typename _IntType = int> class std::poisson_distribution< _IntType >"A discrete Poisson random number distribution. The formula for the Poisson probability density function is $p(i|) = ac{^i}{i!} e^{-}$ where $$ is the parameter of the distribution. Since C++11
Member Typedef Documentation
template<typename _IntType = int> typedef _IntType std::poisson_distribution< _IntType >::result_type The type of the range of the distribution.
Member Function Documentation
template<typename _IntType = int> result_type std::poisson_distribution< _IntType >::max () const [inline] Returns the least upper bound value of the distribution. References std::numeric_limits< _Tp >::max(). template<typename _IntType = int> double std::poisson_distribution< _IntType >::mean () const [inline] Returns the distribution parameter mean. template<typename _IntType = int> result_type std::poisson_distribution< _IntType >::min () const [inline] Returns the greatest lower bound value of the distribution. template<typename _IntType = int> template<typename _UniformRandomNumberGenerator > result_type std::poisson_distribution< _IntType >::operator() (_UniformRandomNumberGenerator & __urng) [inline] Generating functions. References std::poisson_distribution< _IntType >::operator()(). Referenced by std::poisson_distribution< _IntType >::operator()(). template<typename _IntType > template<typename _UniformRandomNumberGenerator > poisson_distribution< _IntType >::result_type std::poisson_distribution< _IntType >::operator() (_UniformRandomNumberGenerator & __urng, const param_type & __param) A rejection algorithm when mean >= 12 and a simple method based upon the multiplication of uniform random variates otherwise. NB: The former is available only if _GLIBCXX_USE_C99_MATH_TR1 is defined. Reference: Devroye, L. Non-Uniform Random Variates Generation. Springer-Verlag, New York, 1986, Ch. X, Sects. 3.3 & 3.4 (+ Errata!). References std::abs(), std::numeric_limits< _Tp >::epsilon(), std::log(), and std::numeric_limits< _Tp >::max(). template<typename _IntType = int> param_type std::poisson_distribution< _IntType >::param () const [inline] Returns the parameter set of the distribution. template<typename _IntType = int> void std::poisson_distribution< _IntType >::param (const param_type & __param) [inline] Sets the parameter set of the distribution. Parameters __param The new parameter set of the distribution. template<typename _IntType = int> void std::poisson_distribution< _IntType >::reset () [inline] Resets the distribution state. References std::normal_distribution< _RealType >::reset().
Friends And Related Symbol Documentation
template<typename _IntType = int> template<typename _IntType1 , typename _CharT , typename _Traits > std::basic_ostream< _CharT, _Traits > & operator<< (std::basic_ostream< _CharT, _Traits > & __os, const std::poisson_distribution< _IntType1 > & __x) [friend] Inserts a poisson_distribution random number distribution __x into the output stream __os. Parameters __os An output stream. __x A poisson_distribution random number distribution. Returns The output stream with the state of __x inserted or in an error state. template<typename _IntType = int> bool operator== (const poisson_distribution< _IntType > & __d1, const poisson_distribution< _IntType > & __d2) [friend] Return true if two Poisson distributions have the same parameters and the sequences that would be generated are equal. template<typename _IntType = int> template<typename _IntType1 , typename _CharT , typename _Traits > std::basic_istream< _CharT, _Traits > & operator>> (std::basic_istream< _CharT, _Traits > & __is, std::poisson_distribution< _IntType1 > & __x) [friend] Extracts a poisson_distribution random number distribution __x from the input stream __is. Parameters __is An input stream. __x A poisson_distribution random number generator engine. Returns The input stream with __x extracted or in an error state.
Author
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