- NAME
- SYNOPSIS
- Detailed Description
- Constructor & Destructor Documentation
- Member Function Documentation
- 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]
- 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]
- Author
NAME
std::tr1::normal_distribution -
SYNOPSIS
Detailed Description
template<typename _RealType = double> class std::tr1::normal_distribution< _RealType >
The formula for the normal probability mass function is $ p(x) = ac{1}{\sigma \sqrt{2 \pi}} e^{- ac{{x - mean}^ {2}}{2 \sigma ^ {2}} } $.
Definition at line 2191 of file random.
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)
Constructor & Destructor Documentation
template<typename _RealType = double> std::tr1::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 $ \sigma $.
Definition at line 2204 of file random.
References _GLIBCXX_DEBUG_ASSERT.
Member Function Documentation
template<typename _RealType = double> _RealType std::tr1::normal_distribution< _RealType >::mean () const [inline]
Gets the mean of the distribution.
Definition at line 2215 of file random.
template<typename _RealType> template<class _UniformRandomNumberGenerator> normal_distribution< _RealType >::result_type std::tr1::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 1360 of file random.tcc.
References std::log(), and std::sqrt().
template<typename _RealType = double> void std::tr1::normal_distribution< _RealType >::reset () [inline]
Resets the distribution.
Definition at line 2229 of file random.
template<typename _RealType = double> _RealType std::tr1::normal_distribution< _RealType >::sigma () const [inline]
Gets the $ \sigma $ of the distribution.
Definition at line 2222 of file 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:
__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, 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:
__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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