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std::chi_squared_distribution< _RealType > Class Template Reference
Numerics » Random Number Generation » Random Number Distributions » Normal Distributions

#include <random.h>

Classes

struct  param_type
 

Public Types

typedef _RealType result_type
 

Public Member Functions

 chi_squared_distribution (_RealType __n)
 
 chi_squared_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::chi_squared_distribution< _RealType1 > &__x)
 
bool operator== (const chi_squared_distribution &__d1, const chi_squared_distribution &__d2)
 
template<typename _RealType1 , typename _CharT , typename _Traits >
std::basic_istream< _CharT, _Traits > & operator>> (std::basic_istream< _CharT, _Traits > &__is, std::chi_squared_distribution< _RealType1 > &__x)
 

Detailed Description

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

A chi_squared_distribution random number distribution.

The formula for the normal probability mass function is $p(x|n) = \frac{x^{(n/2) - 1}e^{-x/2}}{\Gamma(n/2) 2^{n/2}}$

Definition at line 2632 of file random.h.

Member Typedef Documentation

◆ result_type

template<typename _RealType = double>
typedef _RealType std::chi_squared_distribution< _RealType >::result_type

The type of the range of the distribution.

Definition at line 2639 of file random.h.

Constructor & Destructor Documentation

◆ chi_squared_distribution() [1/3]

template<typename _RealType = double>
std::chi_squared_distribution< _RealType >::chi_squared_distribution ( )
inline

Definition at line 2669 of file random.h.

◆ chi_squared_distribution() [2/3]

template<typename _RealType = double>
std::chi_squared_distribution< _RealType >::chi_squared_distribution ( _RealType  __n)
inlineexplicit

Definition at line 2672 of file random.h.

◆ chi_squared_distribution() [3/3]

template<typename _RealType = double>
std::chi_squared_distribution< _RealType >::chi_squared_distribution ( const param_type &  __p)
inlineexplicit

Definition at line 2677 of file random.h.

Member Function Documentation

◆ __generate() [1/4]

template<typename _RealType = double>
template<typename _ForwardIterator , typename _UniformRandomNumberGenerator >
void std::chi_squared_distribution< _RealType >::__generate ( _ForwardIterator  __f,
_ForwardIterator  __t,
_UniformRandomNumberGenerator &  __urng 
)
inline

Definition at line 2750 of file random.h.

◆ __generate() [2/4]

template<typename _RealType = double>
template<typename _ForwardIterator , typename _UniformRandomNumberGenerator >
void std::chi_squared_distribution< _RealType >::__generate ( _ForwardIterator  __f,
_ForwardIterator  __t,
_UniformRandomNumberGenerator &  __urng,
const param_type &  __p 
)
inline

Definition at line 2757 of file random.h.

◆ __generate() [3/4]

template<typename _RealType = double>
template<typename _UniformRandomNumberGenerator >
void std::chi_squared_distribution< _RealType >::__generate ( result_type *  __f,
result_type *  __t,
_UniformRandomNumberGenerator &  __urng 
)
inline

Definition at line 2766 of file random.h.

◆ __generate() [4/4]

template<typename _RealType = double>
template<typename _UniformRandomNumberGenerator >
void std::chi_squared_distribution< _RealType >::__generate ( result_type *  __f,
result_type *  __t,
_UniformRandomNumberGenerator &  __urng,
const param_type &  __p 
)
inline

Definition at line 2772 of file random.h.

◆ max()

template<typename _RealType = double>
result_type std::chi_squared_distribution< _RealType >::max ( ) const
inline

Returns the least upper bound value of the distribution.

Definition at line 2726 of file random.h.

References std::numeric_limits< _Tp >::max().

◆ min()

template<typename _RealType = double>
result_type std::chi_squared_distribution< _RealType >::min ( ) const
inline

Returns the greatest lower bound value of the distribution.

Definition at line 2719 of file random.h.

◆ n()

template<typename _RealType = double>
_RealType std::chi_squared_distribution< _RealType >::n ( ) const
inline

Definition at line 2692 of file random.h.

◆ operator()() [1/2]

template<typename _RealType = double>
template<typename _UniformRandomNumberGenerator >
result_type std::chi_squared_distribution< _RealType >::operator() ( _UniformRandomNumberGenerator &  __urng)
inline

Generating functions.

Definition at line 2734 of file random.h.

◆ operator()() [2/2]

template<typename _RealType = double>
template<typename _UniformRandomNumberGenerator >
result_type std::chi_squared_distribution< _RealType >::operator() ( _UniformRandomNumberGenerator &  __urng,
const param_type &  __p 
)
inline

Definition at line 2739 of file random.h.

◆ param() [1/2]

template<typename _RealType = double>
param_type std::chi_squared_distribution< _RealType >::param ( ) const
inline

Returns the parameter set of the distribution.

Definition at line 2699 of file random.h.

◆ param() [2/2]

template<typename _RealType = double>
void std::chi_squared_distribution< _RealType >::param ( const param_type &  __param)
inline

Sets the parameter set of the distribution.

Parameters
__paramThe new parameter set of the distribution.

Definition at line 2707 of file random.h.

References std::gamma_distribution< _RealType >::param().

◆ reset()

template<typename _RealType = double>
void std::chi_squared_distribution< _RealType >::reset ( )
inline

Resets the distribution state.

Definition at line 2685 of file random.h.

References std::gamma_distribution< _RealType >::reset().

Friends And Related Symbol Documentation

◆ operator<<

template<typename _RealType = double>
template<typename _RealType1 , typename _CharT , typename _Traits >
std::basic_ostream< _CharT, _Traits > & operator<< ( std::basic_ostream< _CharT, _Traits > &  __os,
const std::chi_squared_distribution< _RealType1 > &  __x 
)
friend

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

Parameters
__osAn output stream.
__xA chi_squared_distribution random number distribution.
Returns
The output stream with the state of __x inserted or in an error state.

◆ operator==

template<typename _RealType = double>
bool operator== ( const chi_squared_distribution< _RealType > &  __d1,
const chi_squared_distribution< _RealType > &  __d2 
)
friend

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

Definition at line 2785 of file random.h.

◆ operator>>

template<typename _RealType = double>
template<typename _RealType1 , typename _CharT , typename _Traits >
std::basic_istream< _CharT, _Traits > & operator>> ( std::basic_istream< _CharT, _Traits > &  __is,
std::chi_squared_distribution< _RealType1 > &  __x 
)
friend

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

Parameters
__isAn input stream.
__xA chi_squared_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: