libstdc++
|
Classes | |
struct | param_type |
Public Types | |
typedef _IntType | result_type |
Public Member Functions | |
poisson_distribution (double __mean=1.0) | |
poisson_distribution (const param_type &__p) | |
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 |
double | mean () const |
result_type | min () const |
template<typename _UniformRandomNumberGenerator > | |
result_type | operator() (_UniformRandomNumberGenerator &__urng) |
template<typename _UniformRandomNumberGenerator > | |
result_type | operator() (_UniformRandomNumberGenerator &__urng, const param_type &__p) |
param_type | param () const |
void | param (const param_type &__param) |
void | reset () |
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) |
bool | operator== (const poisson_distribution &__d1, const poisson_distribution &__d2) |
template<typename _IntType1 , typename _CharT , typename _Traits > | |
std::basic_istream< _CharT, _Traits > & | operator>> (std::basic_istream< _CharT, _Traits > &__is, std::poisson_distribution< _IntType1 > &__x) |
A discrete Poisson random number distribution.
The formula for the Poisson probability density function is where
is the parameter of the distribution.
typedef _IntType std::poisson_distribution< _IntType >::result_type |
|
inline |
Returns the least upper bound value of the distribution.
Definition at line 4429 of file random.h.
References std::numeric_limits< _Tp >::max().
|
inline |
|
inline |
|
inline |
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!).
Definition at line 1281 of file bits/random.tcc.
References std::abs(), std::numeric_limits< _Tp >::epsilon(), std::log(), and std::numeric_limits< _Tp >::max().
|
inline |
|
inline |
|
inline |
Resets the distribution state.
Definition at line 4393 of file random.h.
References std::normal_distribution< _RealType >::reset().
|
friend |
Inserts a poisson_distribution random number distribution __x
into the output stream __os
.
__os | An output stream. |
__x | A poisson_distribution random number distribution. |
__x
inserted or in an error state.
|
friend |
|
friend |
Extracts a poisson_distribution random number distribution __x
from the input stream __is
.
__is | An input stream. |
__x | A poisson_distribution random number generator engine. |
__x
extracted or in an error state.