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

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

Public Member Functions
	student_t_distribution (_RealType __n)

	student_t_distribution (const param_type &__p)

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)

template<typename _UniformRandomNumberGenerator >
void	__generate (result_type __f, result_type __t, _UniformRandomNumberGenerator &__urng, const param_type &__p)

result_type	max () const

result_type	min () const

_RealType	n () 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 ()

Friends
template<typename _RealType1 , typename _CharT , typename _Traits >
std::basic_ostream< _CharT, _Traits > &	operator<< (std::basic_ostream< _CharT, _Traits > &__os, const std::student_t_distribution< _RealType1 > &__x)

bool	operator== (const student_t_distribution &__d1, const student_t_distribution &__d2)

template<typename _RealType1 , typename _CharT , typename _Traits >
std::basic_istream< _CharT, _Traits > &	operator>> (std::basic_istream< _CharT, _Traits > &__is, std::student_t_distribution< _RealType1 > &__x)

template<typename _RealType = double>
class std::student_t_distribution< _RealType >

A student_t_distribution random number distribution.

The formula for the normal probability mass function is:

$[ p(x|n) = \frac{1}{\sqrt(n\pi)} \frac{\Gamma((n+1)/2)}{\Gamma(n/2)} (1 + \frac{x^2}{n}) ^{-(n+1)/2} ]$

Since

C++11

Definition at line 3496 of file random.h.

◆ result_type

template<typename _RealType = double>

The type of the range of the distribution.

Definition at line 3503 of file random.h.

template<typename _RealType = double>

◆ student_t_distribution() [2/3]

template<typename _RealType = double>

◆ student_t_distribution() [3/3]

template<typename _RealType = double>

◆ __generate() [1/4]

template<typename _RealType = double>

template<typename _ForwardIterator , typename _UniformRandomNumberGenerator >

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

◆ __generate() [2/4]

template<typename _RealType = double>

template<typename _ForwardIterator , typename _UniformRandomNumberGenerator >

◆ __generate() [3/4]

template<typename _RealType = double>

template<typename _UniformRandomNumberGenerator >

◆ __generate() [4/4]

template<typename _RealType = double>

template<typename _UniformRandomNumberGenerator >

◆ max()

template<typename _RealType = double>

◆ min()

template<typename _RealType = double>

◆ n()

template<typename _RealType = double>

◆ operator()() [1/2]

template<typename _RealType = double>

template<typename _UniformRandomNumberGenerator >

◆ operator()() [2/2]

template<typename _RealType = double>

template<typename _UniformRandomNumberGenerator >

◆ param() [1/2]

template<typename _RealType = double>

Returns the parameter set of the distribution.

Definition at line 3568 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 3576 of file random.h.

◆ reset()

template<typename _RealType = double>

◆ operator<<

template<typename _RealType = double>

template<typename _RealType1 , typename _CharT , typename _Traits >

Inserts a student_t_distribution random number distribution __x into the output stream __os.

Parameters

__os	An output stream.
__x	A student_t_distribution random number distribution.

Returns

The output stream with the state of __x inserted or in an error state.

◆ operator==

template<typename _RealType = double>

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

Definition at line 3647 of file random.h.

◆ operator>>

template<typename _RealType = double>

template<typename _RealType1 , typename _CharT , typename _Traits >

Extracts a student_t_distribution random number distribution __x from the input stream __is.

Parameters

__is	An input stream.
__x	A student_t_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: