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

A normal continuous distribution for random numbers. More...

List of all members.

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)

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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 .

Definition at line 2231 of file tr1_impl/random.

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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 and .

Definition at line 2244 of file tr1_impl/random.

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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 of the distribution.

Definition at line 2262 of file tr1_impl/random.

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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.

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The documentation for this class was generated from the following files:

• tr1_impl/random
• random.tcc