NAME

       std::normal_distribution< _RealType >

SYNOPSIS

   Classes
       struct param_type

   Public Types
       typedef _RealType result_type

   Public Member Functions
       normal_distribution (result_type __mean=result_type(0), result_type __stddev=result_type(1))
       normal_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)
       result_type max () const
       _RealType mean () const
       result_type min () const
       template<typename _UniformRandomNumberGenerator > result_type operator() (_UniformRandomNumberGenerator
           &__urng)
       template<typename _UniformRandomNumberGenerator > result_type operator() (_UniformRandomNumberGenerator
           &__urng, const param_type &__p)
       param_type param () const
       void param (const param_type &__param)
       void reset ()
       _RealType stddev () const

   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)
       template<typename _RealType1 > bool operator== (const std::normal_distribution< _RealType1 > &__d1, const
           std::normal_distribution< _RealType1 > &__d2)
       template<typename _RealType1 , typename _CharT , typename _Traits > std::basic_istream< _CharT, _Traits >
           & operator>> (std::basic_istream< _CharT, _Traits > &__is, std::normal_distribution< _RealType1 >
           &__x)

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 1920 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 1923 of file random.h.

Constructor & Destructor Documentation

   template<typename _RealType = double> std::normal_distribution< _RealType >::normal_distribution (result_type
       __mean = result_type(0), result_type __stddev = result_type(1)) [inline],  [explicit]
       Constructs a normal distribution with parameters $mean$ and standard deviation.

       Definition at line 1965 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 2022 of file random.h.

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

       Definition at line 1986 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 2015 of file random.h.

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

       Definition at line 2030 of file random.h.

       Referenced by std::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.

       Definition at line 1783 of file bits/random.tcc.

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

       Definition at line 2000 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 2008 of file random.h.

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

       Definition at line 1979 of file random.h.

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

       Definition at line 1993 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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