Provided by: libstdc++6-4.7-doc_4.7.3-12ubuntu1_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) 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 1979 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 1982 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 2024 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 2081 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 2045 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 2074 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 1678 of file 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 2089 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 2059 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 2067 of file random.h. template<typename _RealType = double> void std::normal_distribution< _RealType >::reset () [inline] Resets the distribution state. Definition at line 2038 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 2052 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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