libstdc++
std::chi_squared_distribution< _RealType > Class Template Reference

Classes

struct  param_type
 

Public Types

typedef _RealType result_type
 

Public Member Functions

 chi_squared_distribution (_RealType __n=_RealType(1))
 
 chi_squared_distribution (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 2526 of file random.h.

Member Typedef Documentation

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

The type of the range of the distribution.

Definition at line 2529 of file random.h.

Member Function Documentation

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 2606 of file random.h.

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

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 2599 of file random.h.

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

Generating functions.

Definition at line 2614 of file random.h.

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

Returns the parameter set of the distribution.

Definition at line 2584 of file random.h.

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 2592 of file random.h.

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

Resets the distribution state.

Definition at line 2570 of file random.h.

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

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 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.
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 2633 of file random.h.

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 file: