std::normal_distribution(3) | Library Functions Manual | std::normal_distribution(3) |
NAME¶
std::normal_distribution -
A normal continuous distribution for random numbers.
SYNOPSIS¶
Public Types¶
typedef _RealType input_type
typedef _RealType result_type
Public Member Functions¶
_RealType mean () const
normal_distribution (const result_type &__mean=result_type(0),
const result_type &__sigma=result_type(1))
template<class _UniformRandomNumberGenerator > result_type
operator() (_UniformRandomNumberGenerator &__urng)
void reset ()
_RealType sigma () const
Friends¶
template<typename _RealType1 , typename _CharT , typename
_Traits > std::basic_ostream< _CharT, _Traits > &
operator<< (std::basic_ostream< _CharT, _Traits >
&__os, const normal_distribution< _RealType1 > &__x)
template<typename _RealType1 , typename _CharT , typename _Traits >
std::basic_istream< _CharT, _Traits > &
operator>> (std::basic_istream< _CharT, _Traits >
&__is, 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 mass function is $ p(x) =
ac{1}{gma rt{2 i}}
e^{- ac{{x - mean}^ {2}}{2 gma ^ {2}} } $.
Definition at line 2231 of file tr1_impl/random.
Constructor & Destructor Documentation¶
template<typename _RealType = double> std::normal_distribution< _RealType >::normal_distribution (const result_type & __mean = result_type(0), const result_type & __sigma = result_type(1)) [inline, explicit] Constructs a normal distribution with parameters $ mean $ and $ gma $.¶
Definition at line 2244 of file tr1_impl/random.
Member Function Documentation¶
template<typename _RealType = double> _RealType std::normal_distribution< _RealType >::mean () const [inline] Gets the mean of the distribution.¶
Definition at line 2255 of file tr1_impl/random.
template<typename _RealType > template<class _UniformRandomNumberGenerator > normal_distribution< _RealType >::result_type std::normal_distribution< _RealType >::operator() (_UniformRandomNumberGenerator & __urng) [inline] 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 1390 of file random.tcc.
References std::log(), and std::sqrt().
template<typename _RealType = double> void std::normal_distribution< _RealType >::reset () [inline] Resets the distribution.¶
Definition at line 2269 of file tr1_impl/random.
template<typename _RealType = double> _RealType std::normal_distribution< _RealType >::sigma () const [inline] Gets the $ gma $ of the distribution.¶
Definition at line 2262 of file tr1_impl/random.
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 normal_distribution< _RealType1 > & __x) [friend] Inserts a normal_distribution random number distribution __x into the output stream __os.¶
Parameters:
__x A normal_distribution random number distribution.
Returns:
template<typename _RealType = double> template<typename _RealType1 , typename _CharT , typename _Traits > std::basic_istream<_CharT, _Traits>& operator>> (std::basic_istream< _CharT, _Traits > & __is, normal_distribution< _RealType1 > & __x) [friend] Extracts a normal_distribution random number distribution __x from the input stream __is.¶
Parameters:
__x A normal_distribution random number generator engine.
Returns:
Author¶
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19 Jun 2018 | libstdc++ |