template<typename _InputIterator > discrete_distribution (_InputIterator __wbegin, _InputIterator __wend)
discrete_distribution (initializer_list< double > __wl)
template<typename _Func > discrete_distribution (size_t __nw, double __xmin, double __xmax, _Func __fw)
discrete_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
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.
std::vector< double > probabilities () const
Returns the probabilities of the distribution.
void reset ()
Resets the distribution state.
template<typename _IntType1 , typename _CharT , typename _Traits > std::basic_ostream< _CharT, _Traits > & operator<< (std::basic_ostream< _CharT, _Traits > &__os, const std::discrete_distribution< _IntType1 > &__x)
Inserts a discrete_distribution random number distribution __x into the output stream __os.
bool operator== (const discrete_distribution &__d1, const discrete_distribution &__d2)
Return true if two discrete distributions have the same parameters.
template<typename _IntType1 , typename _CharT , typename _Traits > std::basic_istream< _CharT, _Traits > & operator>> (std::basic_istream< _CharT, _Traits > &__is, std::discrete_distribution< _IntType1 > &__x)
Extracts a discrete_distribution random number distribution __x from the input stream __is.
The formula for the discrete probability mass function is
Definition at line 5171 of file random.h.
Definition at line 5174 of file random.h.
Returns the least upper bound value of the distribution.
Definition at line 5296 of file random.h.
References std::vector< _Tp, _Alloc >::empty(), and std::vector< _Tp, _Alloc >::size().
Returns the greatest lower bound value of the distribution.
Definition at line 5289 of file random.h.
Generating functions.
Definition at line 5307 of file random.h.
Returns the parameter set of the distribution.
Definition at line 5274 of file random.h.
Sets the parameter set of the distribution.
Parameters:
Definition at line 5282 of file random.h.
Returns the probabilities of the distribution.
Definition at line 5264 of file random.h.
References std::vector< _Tp, _Alloc >::empty().
Resets the distribution state.
Definition at line 5257 of file random.h.
Inserts a discrete_distribution random number distribution __x into the output stream __os.
Parameters:
Returns:
Return true if two discrete distributions have the same parameters.
Definition at line 5342 of file random.h.
Extracts a discrete_distribution random number distribution __x from the input stream __is.
Parameters:
Returns:
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