std::lognormal_distribution< _RealType > - A lognormal_distribution random number distribution.

       Generated automatically by Doxygen for libstdc++ from the source code.

                                                    libstdc++     std::lognormal_distribution<_RealType>(3cxx)

template<typename_RealType=double>
       class std::lognormal_distribution< _RealType >"A lognormal_distribution random number distribution.

       The formula for the normal probability mass function is
           p(x|m,s) = ac{1}{sxt{2i}}
                      \xp{-ac{(x} - m)^2}{2s^2}} ]

       Since
           C++11

template<typename_RealType=double>template<typename_RealType1,typename_CharT,typename_Traits>std::basic_ostream<_CharT,_Traits>&operator<<(std::basic_ostream<_CharT,_Traits>&__os,conststd::lognormal_distribution<_RealType1>&__x)[friend]
       Inserts a lognormal_distribution random number distribution __x into the output stream __os.

       Parameters__os An output stream.
           __x A lognormal_distribution random number distribution.

       Returns
           The output stream with the state of __x inserted or in an error state.

   template<typename_RealType=double>booloperator==(constlognormal_distribution<_RealType>&__d1,constlognormal_distribution<_RealType>&__d2)[friend]
       Return true if two lognormal 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::lognormal_distribution<_RealType1>&__x)[friend]
       Extracts a lognormal_distribution random number distribution __x from the input stream __is.

       Parameters__is An input stream.
           __x A lognormal_distribution random number generator engine.

       Returns
           The input stream with __x extracted or in an error state.

template<typename_RealType=double>result_typestd::lognormal_distribution<_RealType>::max()const[inline]
       Returns the least upper bound value of the distribution.

       References std::numeric_limits<_Tp>::max().

   template<typename_RealType=double>result_typestd::lognormal_distribution<_RealType>::min()const[inline]
       Returns the greatest lower bound value of the distribution.

   template<typename_RealType=double>template<typename_UniformRandomNumberGenerator>result_typestd::lognormal_distribution<_RealType>::operator()(_UniformRandomNumberGenerator&__urng)[inline]
       Generating functions.

       References std::lognormal_distribution<_RealType>::operator()().

       Referenced by std::lognormal_distribution<_RealType>::operator()().

   template<typename_RealType=double>param_typestd::lognormal_distribution<_RealType>::param()const[inline]
       Returns the parameter set of the distribution.

   template<typename_RealType=double>voidstd::lognormal_distribution<_RealType>::param(constparam_type&__param)[inline]
       Sets the parameter set of the distribution.

       Parameters__param The new parameter set of the distribution.

   template<typename_RealType=double>voidstd::lognormal_distribution<_RealType>::reset()[inline]
       Resets the distribution state.

       References std::normal_distribution<_RealType>::reset().

template<typename_RealType=double>typedef_RealTypestd::lognormal_distribution<_RealType>::result_type
       The type of the range of the distribution.

       std::lognormal_distribution< _RealType > - A lognormal_distribution random number distribution.

       #include <random>

   Classes
       struct param_typePublicTypestypedef _RealType result_typePublicMemberFunctionslognormal_distribution (_RealType __m, _RealType __s=_RealType(1))
       lognormal_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 m () const
       result_typemax () const
           Returns the least upper bound value of the distribution.
       result_typemin () const
           Returns the greatest lower bound value of the distribution.
       template<typename_UniformRandomNumberGenerator > result_typeoperator() (_UniformRandomNumberGenerator
           &__urng)
           Generating functions.
       template<typename_UniformRandomNumberGenerator > result_typeoperator() (_UniformRandomNumberGenerator
           &__urng, const param_type &__p)
       param_typeparam () const
           Returns the parameter set of the distribution.
       voidparam (const param_type &__param)
           Sets the parameter set of the distribution.
       voidreset ()
       _RealType s () const

   Friends
       template<typename_RealType1 , typename _CharT , typename _Traits > std::basic_ostream< _CharT, _Traits >
           & operator<< (std::basic_ostream< _CharT, _Traits > &__os, const std::lognormal_distribution<
           _RealType1 > &__x)
           Inserts a lognormal_distribution random number distribution __x into the output stream __os.
       bool operator== (const lognormal_distribution &__d1, const lognormal_distribution &__d2)
           Return true if two lognormal 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::lognormal_distribution< _RealType1 >
           &__x)
           Extracts a lognormal_distribution random number distribution __x from the input stream __is.