template<typename _InputIteratorB , typename _InputIteratorW > piecewise_constant_distribution (_InputIteratorB __bfirst, _InputIteratorB __bend, _InputIteratorW __wbegin)
template<typename _Func > piecewise_constant_distribution (initializer_list< _RealType > __bl, _Func __fw)
template<typename _Func > piecewise_constant_distribution (size_t __nw, _RealType __xmin, _RealType __xmax, _Func __fw)
piecewise_constant_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)
std::vector< double > densities () const
Returns a vector of the probability densities.
std::vector< _RealType > intervals () const
Returns a vector of the intervals.
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::piecewise_constant_distribution< _RealType1 > &__x)
Inserts a piecewise_constant_distribution random number distribution __x into the output stream __os.
bool operator== (const piecewise_constant_distribution &__d1, const piecewise_constant_distribution &__d2)
Return true if two piecewise constant distributions have the same parameters.
template<typename _RealType1 , typename _CharT , typename _Traits > std::basic_istream< _CharT, _Traits > & operator>> (std::basic_istream< _CharT, _Traits > &__is, std::piecewise_constant_distribution< _RealType1 > &__x)
Extracts a piecewise_constant_distribution random number distribution __x from the input stream __is.
The formula for the piecewise constant probability mass function is
Definition at line 5406 of file random.h.
Definition at line 5409 of file random.h.
Returns a vector of the probability densities.
Definition at line 5532 of file random.h.
References std::vector< _Tp, _Alloc >::empty().
Returns a vector of the intervals.
Definition at line 5516 of file random.h.
References std::vector< _Tp, _Alloc >::empty().
Returns the least upper bound value of the distribution.
Definition at line 5567 of file random.h.
References std::vector< _Tp, _Alloc >::back(), and std::vector< _Tp, _Alloc >::empty().
Returns the greatest lower bound value of the distribution.
Definition at line 5557 of file random.h.
References std::vector< _Tp, _Alloc >::empty(), and std::vector< _Tp, _Alloc >::front().
Generating functions.
Definition at line 5578 of file random.h.
Returns the parameter set of the distribution.
Definition at line 5542 of file random.h.
Sets the parameter set of the distribution.
Parameters:
Definition at line 5550 of file random.h.
Resets the distribution state.
Definition at line 5509 of file random.h.
Inserts a piecewise_constant_distribution random number distribution __x into the output stream __os.
Parameters:
Returns:
Return true if two piecewise constant distributions have the same parameters.
Definition at line 5613 of file random.h.
Extracts a piecewise_constant_distribution random number distribution __x from the input stream __is.
Parameters:
Returns:
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