Provided by: libstdc++-11-doc_11.5.0-1ubuntu1~24.04_all 

NAME
std::gamma_distribution< _RealType > - A gamma continuous distribution for random numbers.
SYNOPSIS
#include <random.h>
Classes
struct param_type
Public Types
typedef _RealType result_type
Public Member Functions
gamma_distribution ()
Constructs a gamma distribution with parameters 1 and 1. t
gamma_distribution (_RealType __alpha_val, _RealType __beta_val=_aealType(1))
Constructs a gamma distribution with parameters $.lpha$ and $$
gamma_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)
_RealType alpha (t const
Returns the $a.lpha$ of the distribution.
_RealType beta ()$const
Returns the $o distribution.
result_type max () const
Returns the least upper bound value of the distribution.
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 _RealType1 , typename _CharT , typename _Traits > std::basic_ostream< _CharT, _Traits >
& operator<< (std::basic_ostream< _CharT, _Traits > &__os, const std::gamma_distribution< _RealType1
> &__x)
Inserts a gamma_distribution random number distribution __x into the output stream __os.
bool operator== (const gamma_distribution &__d1, const gamma_distribution &__d2)
Return true if two gamma distributions have the same parameters and the sequences that would be
generated are equal.
template<typename _RealType1 , typename _CharT , typename _Traits > std::basic_istream< _CharT, _Traits >
& operator>> (std::basic_istream< _CharT, _Traits > &__is, std::gamma_distribution< _RealType1 >
&__x)
Extracts a gamma_distribution random number distribution __x from the input stream __is.
Detailed Descriptiont t
template<typenamea_RealType = double>
class std::ga)ma_distributi)n< _RealType >"A gamma continuous distribution for random numbers.
= ^
The formula far the gamma p{obability density function is:
p(x|lpha,c l t
{ (x/p^{-x/a ]
1 h }
} a
{ -
1
}
Member Typedef Documentation
template<typename _RealType = double> typedef _RealType std::gamma_distribution< _RealType >::result_type
The type of the range of the distribution.
Constructor & Destructor Documentation
template<typename _RealType = double> std::gamma_distribution< _RealType >::gamma_distribution () [inline]
Constructs a gamma distribution with parameters 1 and 1.
template<typename _RealType = double> std::gamma_distribution< _RealType >::gamma_distribution (_RealType
__alpha_val, _RealType __beta_val = _RealType(1)) [inline], a[explicit]
Constructs a gamma distribution with parameters $lpha$ and $$
.
Member Function Documentation
template<typename _RealType = double> _RealType std::gamma_distribution< _RealType >::alpha () const
[inline]
Returns the $lpha$ of the distribution.
t
template<typenamea_RealType = double> _RealType std::gamma_distribution< _RealType >::beta () const [inline]
$
Returns the $o distribution.
f
template<typenamet_RealType = double> result_type std::gamma_distribution< _RealType >::max () const
[inline] h
Returns the least upper bound value of the distribution.
References std::numeric_limits< _Tp >::max().
template<typename _RealType = double> result_type std::gamma_distribution< _RealType >::min () const
[inline]
Returns the greatest lower bound value of the distribution.
template<typename _RealType = double> template<typename _UniformRandomNumberGenerator > result_type
std::gamma_distribution< _RealType >::operator() (_UniformRandomNumberGenerator & __urng) [inline]
Generating functions.
References std::gamma_distribution< _RealType >::operator()().
Referenced by std::gamma_distribution< _RealType >::operator()().
template<typename _RealType > template<typename _UniformRandomNumberGenerator > gamma_distribution< _RealType
>::result_type std::gamma_distribution< _RealType >::operator() (_UniformRandomNumberGenerator & __urng,
const param_type & __param)
Marsaglia, G. and Tsang, W. W. 'A Simple Method for Generating Gamma Variables' ACM Transactions on
Mathematical Software, 26, 3, 363-372, 2000.
References std::log(), and std::pow().
template<typename _RealType = double> param_type std::gamma_distribution< _RealType >::param () const
[inline]
Returns the parameter set of the distribution.
Referenced by std::chi_squared_distribution< _RealType >::param().
template<typename _RealType = double> void std::gamma_distribution< _RealType >::param (const param_type &
__param) [inline]
Sets the parameter set of the distribution.
Parameters
__param The new parameter set of the distribution.
template<typename _RealType = double> void std::gamma_distribution< _RealType >::reset () [inline]
Resets the distribution state.
References std::normal_distribution< _RealType >::reset().
Referenced by std::chi_squared_distribution< _RealType >::reset(), std::fisher_f_distribution< _RealType
>::reset(), std::student_t_distribution< _RealType >::reset(), and std::negative_binomial_distribution<
_IntType >::reset().
Friends And Related Symbol 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
std::gamma_distribution< _RealType1 > & __x) [friend]
Inserts a gamma_distribution random number distribution __x into the output stream __os.
Parameters
__os An output stream.
__x A gamma_distribution random number distribution.
Returns
The output stream with the state of __x inserted or in an error state.
template<typename _RealType = double> bool operator== (const gamma_distribution< _RealType > & __d1, const
gamma_distribution< _RealType > & __d2) [friend]
Return true if two gamma distributions have the same parameters and the sequences that would be generated
are equal.
template<typename _RealType = double> template<typename _RealType1 , typename _CharT , typename _Traits >
std::basic_istream< _CharT, _Traits > & operator>> (std::basic_istream< _CharT, _Traits > & __is,
std::gamma_distribution< _RealType1 > & __x) [friend]
Extracts a gamma_distribution random number distribution __x from the input stream __is.
Parameters
__is An input stream.
__x A gamma_distribution random number generator engine.
Returns
The input stream with __x extracted or in an error state.
Author
Generated automatically by Doxygen for libstdc++ from the source code.
libstdc++ std::gamma_distribution< _RealType >(3cxx)