NAME

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

SYNOPSIS

       #include <random>

   Classes
       struct param_type

   Public Types
       typedef _RealType result_type

   Public Member Functions
       normal_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_type max () const
           Returns the least upper bound value of the distribution.
       _RealType mean () const
           Returns the mean 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.
       _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.

Detailed Description

   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

Member Typedef Documentation

   template<typename _RealType = double> typedef _RealType std::normal_distribution< _RealType >::result_type
       The type of the range of the distribution.

Constructor & Destructor Documentation

   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.

Member Function Documentation

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

   template<typename _RealType = double> _RealType std::normal_distribution< _RealType >::mean () const [inline]

       Returns the mean of the distribution.

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

   template<typename _RealType = double> template<typename _UniformRandomNumberGenerator> result_type
       std::normal_distribution< _RealType >::operator() (_UniformRandomNumberGenerator & __urng) [inline]
       Generating functions.

       Referenced by operator()().

   template<typename _RealType> template<typename _UniformRandomNumberGenerator> normal_distribution< _RealType
       >::result_type std::normal_distribution< _RealType >::operator() (_UniformRandomNumberGenerator & __urng,
       const param_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_type std::normal_distribution< _RealType >::param () const
       [inline]
       Returns the parameter set of the distribution.

   template<typename _RealType = double> void std::normal_distribution< _RealType >::param (const param_type &
       __param) [inline]
       Sets the parameter set of the distribution.

       Parameters
           __param The new parameter set of the distribution.

   template<typename _RealType = double> void std::normal_distribution< _RealType >::reset () [inline]
       Resets the distribution state.

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

Friends And Related Symbol Documentation

   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::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> bool operator== (const
       std::normal_distribution< _RealType1 > & __d1, const std::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.

Author

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