std::tr1::normal_distribution< _RealType > Class Template Reference
[Continuous Distributions]

List of all members.

Detailed Description

template<typename _RealType = double>
class std::tr1::normal_distribution< _RealType >

The formula for the normal probability mass function is $ p(x) = \frac{1}{\sigma \sqrt{2 \pi}} e^{- \frac{{x - mean}^ {2}}{2 \sigma ^ {2}} } $.

Definition at line 2196 of file random.

Public Types

Public Member Functions

Friends


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 2209 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 2220 of file random.

template<typename _RealType>
template<class _UniformRandomNumberGenerator>
normal_distribution< _RealType >::result_type std::tr1::normal_distribution< _RealType >::operator() ( _UniformRandomNumberGenerator &  __urng  ) 

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 2234 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 2227 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.


The documentation for this class was generated from the following files:
Generated on Thu Nov 1 13:19:26 2007 for libstdc++ by  doxygen 1.5.1