NAME

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

SYNOPSIS

   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}} } ]

       Definition at line 1970 of file random.h.

Member Typedef Documentation

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

       Definition at line 1977 of file random.h.

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.

       Definition at line 2023 of file random.h.

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.

       Definition at line 2080 of file random.h.

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

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

       Definition at line 2044 of file random.h.

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

       Definition at line 2073 of file random.h.

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

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

       Definition at line 2088 of file random.h.

   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.

       Definition at line 1769 of file bits/random.tcc.

       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.

       Definition at line 2058 of file random.h.

   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.

       Definition at line 2066 of file random.h.

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

       Definition at line 2037 of file random.h.

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

       Definition at line 2051 of file random.h.

Friends And Related Function 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++                                 Thu Sep 8 20std::normal_distribution< _RealType >(3cxx)