| std::gamma_distribution< _RealType >(3cxx) | std::gamma_distribution< _RealType >(3cxx) |
std::gamma_distribution< _RealType > - A gamma continuous distribution for random numbers.
#include <random.h>
struct param_type
typedef _RealType result_type
gamma_distribution ()
Constructs a gamma distribution with parameters 1 and 1.
gamma_distribution (_RealType __alpha_val, _RealType
__beta_val=_RealType(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 () const
Returns the $ lpha$ of the distribution. _RealType beta () const
Returns the $ 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.
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.
class std::gamma_distribution< _RealType >"A gamma continuous distribution for random numbers.
The formula for the gamma probability density function is:
p(x|lpha,ac{1}{
(x/^{-x/ ]
Definition at line 2396 of file random.h.
The type of the range of the distribution.
Definition at line 2403 of file random.h.
Constructs a gamma distribution with parameters 1 and 1.
Definition at line 2452 of file random.h.
Constructs a gamma distribution with parameters $lpha$ and $
Definition at line 2459 of file random.h.
Definition at line 2465 of file random.h.
Definition at line 2535 of file random.h.
Definition at line 2542 of file random.h.
Definition at line 2549 of file random.h.
Returns the $lpha$ of the distribution.
Definition at line 2480 of file random.h.
Returns the $ distribution.
Definition at line 2487 of file random.h.
Returns the least upper bound value of the distribution.
Definition at line 2516 of file random.h.
References std::numeric_limits< _Tp >::max().
Returns the greatest lower bound value of the distribution.
Definition at line 2509 of file random.h.
Generating functions.
Definition at line 2524 of file random.h.
References std::gamma_distribution< _RealType >::operator()().
Referenced by std::gamma_distribution< _RealType >::operator()().
Marsaglia, G. and Tsang, W. W. 'A Simple Method for Generating Gamma Variables' ACM Transactions on Mathematical Software, 26, 3, 363-372, 2000.
Definition at line 2346 of file bits/random.tcc.
References std::log(), and std::pow().
Returns the parameter set of the distribution.
Definition at line 2494 of file random.h.
Referenced by std::chi_squared_distribution< _RealType >::param().
Sets the parameter set of the distribution.
Parameters
Definition at line 2502 of file random.h.
Resets the distribution state.
Definition at line 2473 of file random.h.
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().
Inserts a gamma_distribution random number distribution __x into the output stream __os.
Parameters
Returns
Return true if two gamma distributions have the same parameters and the sequences that would be generated are equal.
Definition at line 2560 of file random.h.
Extracts a gamma_distribution random number distribution __x from the input stream __is.
Parameters
Returns
Generated automatically by Doxygen for libstdc++ from the source code.
| libstdc++ |