std::normal_distribution_param_type(3cxx) [debian man page]
std::normal_distribution< _RealType >::param_type(3cxx) std::normal_distribution< _RealType >::param_type(3cxx) NAME
std::normal_distribution< _RealType >::param_type - SYNOPSIS
Public Types typedef normal_distribution < _RealType > distribution_type" Public Member Functions param_type (_RealType __mean=_RealType(0), _RealType __stddev=_RealType(1)) _RealType mean () const _RealType stddev () const Friends bool operator== (const param_type &__p1, const param_type &__p2) Detailed Description template<typename _RealType = double>struct std::normal_distribution< _RealType >::param_type Parameter type. Definition at line 1981 of file random.h. Author Generated automatically by Doxygen for libstdc++ from the source code. libstdc++ Tue Nov 27 2012 std::normal_distribution< _RealType >::param_type(3cxx)
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std::normal_distribution< _RealType >(3) Library Functions Manual std::normal_distribution< _RealType >(3) 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 > normal_distribution< _RealType > ::result_type operator() (_UniformRandomNumberGenerator &__urng, const param_type &__param)" 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 2085 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 2088 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 2130 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 2187 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 2151 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 2180 of file random.h. template<typename _RealType = double> 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 1935 of file bits/random.tcc. References std::log(), and std::sqrt(). template<typename _RealType = double> template<typename _UniformRandomNumberGenerator > result_type std::normal_distribution< _RealType >::operator() (_UniformRandomNumberGenerator &__urng) [inline] Generating functions. Definition at line 2195 of file random.h. Referenced by std::normal_distribution< result_type >::operator()(). template<typename _RealType = double> param_type std::normal_distribution< _RealType >::param () const [inline] Returns the parameter set of the distribution. Definition at line 2165 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 2173 of file random.h. template<typename _RealType = double> void std::normal_distribution< _RealType >::reset () [inline] Resets the distribution state. Definition at line 2144 of file random.h. Referenced by std::lognormal_distribution< _RealType >::reset(), std::gamma_distribution< result_type >::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 2158 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 Generated automatically by Doxygen for libstdc++ from the source code. libstdc++ Tue Jun 10 2014 std::normal_distribution< _RealType >(3)