NAME

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

SYNOPSIS

   Classes
       struct param_type

   Public Types
       typedef _RealType result_type

   Public Member Functions
       chi_squared_distribution (_RealType __n)
       chi_squared_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)
       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.
       result_type min () const
           Returns the greatest lower bound value of the distribution.
       _RealType n () const
       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.

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

Detailed Description

   template<typename _RealType = double>
       class std::chi_squared_distribution< _RealType >" A chi_squared_distribution random number distribution.

       The formula for the normal probability mass function is $p(x|n) = ac{x^{(n/2) - 1}e^{-x/2}}{Gamma(n/2)
       2^{n/2}}$

Member Typedef Documentation

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

Member Function Documentation

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

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

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

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

       Parameters
           __param The new parameter set of the distribution.

       References std::gamma_distribution< _RealType >::param().

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

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

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::chi_squared_distribution< _RealType1 > & __x) [friend]
       Inserts a chi_squared_distribution random number distribution __x into the output stream __os.

       Parameters
           __os An output stream.
           __x A chi_squared_distribution random number distribution.

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

   template<typename _RealType  = double> bool operator== (const chi_squared_distribution< _RealType > & __d1,
       const chi_squared_distribution< _RealType > & __d2) [friend]
       Return true if two Chi-squared 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::chi_squared_distribution< _RealType1 > & __x) [friend]
       Extracts a chi_squared_distribution random number distribution __x from the input stream __is.

       Parameters
           __is An input stream.
           __x A chi_squared_distribution random number generator engine.

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

Author

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