libstdc++: std::normal_distribution< _RealType > Class Template Reference (original) (raw)

#include <[random](a00167%5Fsource.html)>

Public Member Functions
	normal_distribution (const param_type &__p)

	normal_distribution (result_type __mean, result_type __stddev=result_type(1))

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)

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

$[ p(x|\mu,\sigma) = \frac{1}{\sigma \sqrt{2 \pi}} e^{- \frac{{x - \mu}^ {2}}{2 \sigma ^ {2}} } ]$

Since

C++11

Definition at line 2118 of file random.h.

◆ result_type

template<typename _RealType = double>

The type of the range of the distribution.

Definition at line 2125 of file random.h.

template<typename _RealType = double>

◆ normal_distribution() [2/3]

template<typename _RealType = double>

Constructs a normal distribution with parameters $mean$ and standard deviation.

Definition at line 2173 of file random.h.

◆ normal_distribution() [3/3]

template<typename _RealType = double>

◆ __generate() [1/3]

template<typename _RealType = double>

template<typename _ForwardIterator , typename _UniformRandomNumberGenerator >

void std::normal_distribution< _RealType >::__generate ( _ForwardIterator __f, _ForwardIterator __t, _UniformRandomNumberGenerator & __urng )	inline

◆ __generate() [2/3]

template<typename _RealType = double>

template<typename _ForwardIterator , typename _UniformRandomNumberGenerator >

void std::normal_distribution< _RealType >::__generate ( _ForwardIterator __f, _ForwardIterator __t, _UniformRandomNumberGenerator & __urng, const param_type & __p )	inline

◆ __generate() [3/3]

template<typename _RealType = double>

template<typename _UniformRandomNumberGenerator >

◆ max()

template<typename _RealType = double>

◆ mean()

template<typename _RealType = double>

Returns the mean of the distribution.

Definition at line 2194 of file random.h.

◆ min()

template<typename _RealType = double>

◆ operator()() [1/2]

template<typename _RealType = double>

template<typename _UniformRandomNumberGenerator >

◆ operator()() [2/2]

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 1812 of file bits/random.tcc.

References std::log(), and std::sqrt().

◆ param() [1/2]

template<typename _RealType = double>

Returns the parameter set of the distribution.

Definition at line 2208 of file random.h.

◆ param() [2/2]

template<typename _RealType = double>

Sets the parameter set of the distribution.

Parameters

__param	The new parameter set of the distribution.

Definition at line 2216 of file random.h.

◆ reset()

template<typename _RealType = double>

◆ stddev()

template<typename _RealType = double>

Returns the standard deviation of the distribution.

Definition at line 2201 of file random.h.

◆ operator<<

template<typename _RealType = double>

template<typename _RealType1 , typename _CharT , typename _Traits >

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.

◆ operator==

template<typename _RealType = double>

template<typename _RealType1 >

Return true if two normal distributions have the same parameters and the sequences that would be generated are equal.

◆ operator>>

template<typename _RealType = double>

template<typename _RealType1 , typename _CharT , typename _Traits >

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: