std::normal_distribution< _RealType > - A normal continuous distribution for random numbers.

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

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

template<typename_RealType=double>std::normal_distribution<_RealType>::normal_distribution(result_type__mean,result_type__stddev=result_type(1))[inline],[explicit]
       Constructs a normal distribution with parameters $mean$ and standard deviation.

template<typename_RealType=double>
       class std::normal_distribution< _RealType >"A normal continuous distribution for random numbers.

       The formula for the normal probability density function is
           p(x|,ma) = ac{1}{ma t{2 i}}
                  e^{- ac{{x - }^ {2}}{2 ma ^ {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::normal_distribution<_RealType1>&__x)[friend]
       Inserts a normal_distribution random number distribution __x into the output stream __os.

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

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

   template<typename_RealType=double>template<typename_RealType1>booloperator==(conststd::normal_distribution<_RealType1>&__d1,conststd::normal_distribution<_RealType1>&__d2)[friend]
       Return true if two normal 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::normal_distribution<_RealType1>&__x)[friend]
       Extracts a normal_distribution random number distribution __x from the input stream __is.

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

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

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

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

   template<typename_RealType=double>_RealTypestd::normal_distribution<_RealType>::mean()const[inline]
       Returns the mean of the distribution.

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

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

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

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

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

   template<typename_RealType>template<typename_UniformRandomNumberGenerator>normal_distribution<_RealType>::result_typestd::normal_distribution<_RealType>::operator()(_UniformRandomNumberGenerator&__urng,constparam_type&__param)
       Polar method due to Marsaglia.

       Devroye, L. Non-Uniform Random Variates Generation. Springer-Verlag, New York, 1986, Ch. V, Sect. 4.4.

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

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

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

       Referenced by std::lognormal_distribution<_RealType>::reset(), std::gamma_distribution<_RealType>::reset(), std::student_t_distribution<_RealType>::reset(), std::binomial_distribution<_IntType>::reset(), and std::poisson_distribution<_IntType>::reset().

   template<typename_RealType=double>_RealTypestd::normal_distribution<_RealType>::stddev()const[inline]
       Returns the standard deviation of the distribution.

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

       std::normal_distribution< _RealType > - A normal continuous distribution for random numbers.

       #include <random>

   Classes
       struct param_typePublicTypestypedef _RealType result_typePublicMemberFunctionsnormal_distribution (const param_type &__p)
       normal_distribution (result_type__mean, result_type__stddev=result_type(1))
       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_typemax () const
           Returns the least upper bound value of the distribution.
       _RealType mean () const
           Returns the mean 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 ()
           Resets the distribution state.
       _RealType stddev () const
           Returns the standard deviation of the distribution.

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