Classes¶

struct param_type

Public Types¶

typedef _RealType result_type

Public Member Functions¶

gamma_distribution (_RealType __alpha_val=_RealType(1), _RealType __beta_val=_RealType(1))
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
_RealType beta () const
result_type max () const
result_type min () const
template<typename _UniformRandomNumberGenerator > gamma_distribution< _RealType >
::result_type operator() (_UniformRandomNumberGenerator &__urng, const param_type &__param)"
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 _RealType1 , typename _CharT , typename _Traits > std::basic_ostream< _CharT,
_Traits > & operator<< (std::basic_ostream< _CharT, _Traits > &__os, const std::gamma_distribution< _RealType1 > &__x)"
bool operator== (const gamma_distribution &__d1, const gamma_distribution &__d2)
template<typename _RealType1 , typename _CharT , typename _Traits > std::basic_istream< _CharT,
_Traits > & operator>> (std::basic_istream< _CharT, _Traits > &__is, std::gamma_distribution< _RealType1 > &__x)"

template<typename _RealType = double>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}{

Definition at line 2502 of file random.h.

template<typename _RealType = double> typedef _RealType std::gamma_distribution< _RealType >::result_type¶

The type of the range of the distribution.

Definition at line 2505 of file random.h.

template<typename _RealType = double> std::gamma_distribution< _RealType >::gamma_distribution (_RealType__alpha_val = _RealType(1), _RealType__beta_val = _RealType(1)) [inline], [explicit]¶

Constructs a gamma distribution with parameters $lpha$ and $

Definition at line 2554 of file random.h.

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

Returns the $lpha$ of the distribution.

Definition at line 2575 of file random.h.

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

Returns the $ distribution.

Definition at line 2582 of file random.h.

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

Returns the least upper bound value of the distribution.

Definition at line 2611 of file random.h.

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

Returns the greatest lower bound value of the distribution.

Definition at line 2604 of file random.h.

template<typename _RealType = double> 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.

Definition at line 2489 of file bits/random.tcc.

References std::log(), and std::pow().

template<typename _RealType = double> template<typename _UniformRandomNumberGenerator > result_type std::gamma_distribution< _RealType >::operator() (_UniformRandomNumberGenerator &__urng) [inline]¶

Generating functions.

Definition at line 2619 of file random.h.

Referenced by std::gamma_distribution< result_type >::operator()().

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

Returns the parameter set of the distribution.

Definition at line 2589 of file random.h.

template<typename _RealType = double> void std::gamma_distribution< _RealType >::param (const param_type &__param) [inline]¶

Sets the parameter set of the distribution.

Parameters:

Definition at line 2597 of file random.h.

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

Resets the distribution state.

Definition at line 2568 of file random.h.

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().

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:

Returns:

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.

Definition at line 2655 of file random.h.

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:

Returns: