Provided by: libstdc++-5-doc_5.4.0-6ubuntu1~16.04.12_all
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. References std::dec(), std::exp(), std::basic_ios< _CharT, _Traits >::fill(), std::ios_base::flags(), std::left(), std::log(), std::cauchy_distribution< _RealType >::operator()(), std::__detail::operator>>(), std::normal_distribution< _RealType >::param(), std::lognormal_distribution< _RealType >::param(), std::chi_squared_distribution< _RealType >::param(), std::ios_base::precision(), std::scientific(), std::skipws(), std::sqrt(), std::tan(), and std::basic_ios< _CharT, _Traits >::widen(). 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. Referenced by std::normal_distribution< _RealType >::operator()(). 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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