Collaboration diagram for Normal Distributions:

Classes

class std::cauchy_distribution< _RealType >
A cauchy_distribution random number distribution. More...
class std::chi_squared_distribution< _RealType >
A chi_squared_distribution random number distribution. More...
class std::fisher_f_distribution< _RealType >
A fisher_f_distribution random number distribution. More...
class std::gamma_distribution< _RealType >
A gamma continuous distribution for random numbers. More...
class std::lognormal_distribution< _RealType >
A lognormal_distribution random number distribution. More...
class std::normal_distribution< _RealType >
A normal continuous distribution for random numbers. More...
class std::student_t_distribution< _RealType >
A student_t_distribution random number distribution. More...

Functions

template<typename _RealType > bool std::operator!= (const std::normal_distribution< _RealType > &__d1, const std::normal_distribution< _RealType > &__d2)
template<typename _RealType > bool std::operator!= (const std::lognormal_distribution< _RealType > &__d1, const std::lognormal_distribution< _RealType > &__d2)
template<typename _RealType > bool std::operator!= (const std::gamma_distribution< _RealType > &__d1, const std::gamma_distribution< _RealType > &__d2)
template<typename _RealType > bool std::operator!= (const std::chi_squared_distribution< _RealType > &__d1, const std::chi_squared_distribution< _RealType > &__d2)
template<typename _RealType > bool std::operator!= (const std::cauchy_distribution< _RealType > &__d1, const std::cauchy_distribution< _RealType > &__d2)
template<typename _RealType > bool std::operator!= (const std::fisher_f_distribution< _RealType > &__d1, const std::fisher_f_distribution< _RealType > &__d2)
template<typename _RealType > bool std::operator!= (const std::student_t_distribution< _RealType > &__d1, const std::student_t_distribution< _RealType > &__d2)
template<typename _RealType , typename _CharT , typename _Traits > std::basic_ostream< _CharT,
_Traits > & std::operator<< (std::basic_ostream< _CharT, _Traits > &__os, const std::cauchy_distribution< _RealType > &__x)
template<typename _RealType > bool std::operator== (const std::cauchy_distribution< _RealType > &__d1, const std::cauchy_distribution< _RealType > &__d2)
template<typename _RealType , typename _CharT , typename _Traits > std::basic_istream< _CharT,
_Traits > & std::operator>> (std::basic_istream< _CharT, _Traits > &__is, std::cauchy_distribution< _RealType > &__x)

Function Documentation

template<typename _RealType >

bool std::operator!=	(	const std::normal_distribution< _RealType > &	__d1,
		const std::normal_distribution< _RealType > &	__d2
	)		`[inline]`

Return true if two normal distributions are different.

Definition at line 2149 of file random.h.

template<typename _RealType >

bool std::operator!=	(	const std::lognormal_distribution< _RealType > &	__d1,
		const std::lognormal_distribution< _RealType > &	__d2
	)		`[inline]`

Return true if two lognormal distributions are different.

Definition at line 2325 of file random.h.

template<typename _RealType >

bool std::operator!=	(	const std::gamma_distribution< _RealType > &	__d1,
		const std::gamma_distribution< _RealType > &	__d2
	)		`[inline]`

Return true if two gamma distributions are different.

Definition at line 2517 of file random.h.

template<typename _RealType >

bool std::operator!=	(	const std::chi_squared_distribution< _RealType > &	__d1,
		const std::chi_squared_distribution< _RealType > &	__d2
	)		`[inline]`

Return true if two Chi-squared distributions are different.

Definition at line 2682 of file random.h.

template<typename _RealType >

bool std::operator!=	(	const std::cauchy_distribution< _RealType > &	__d1,
		const std::cauchy_distribution< _RealType > &	__d2
	)		`[inline]`

Return true if two Cauchy distributions have different parameters.

Definition at line 2821 of file random.h.

template<typename _RealType >

bool std::operator!=	(	const std::fisher_f_distribution< _RealType > &	__d1,
		const std::fisher_f_distribution< _RealType > &	__d2
	)		`[inline]`

Return true if two Fisher f distributions are diferent.

Definition at line 3037 of file random.h.

template<typename _RealType >

bool std::operator!=	(	const std::student_t_distribution< _RealType > &	__d1,
		const std::student_t_distribution< _RealType > &	__d2
	)		`[inline]`

Return true if two Student t distributions are different.

Definition at line 3211 of file random.h.

template<typename _RealType , typename _CharT , typename _Traits >

std::basic_ostream< _CharT, _Traits > & std::operator<<	(	std::basic_ostream< _CharT, _Traits > &	__os,
		const std::cauchy_distribution< _RealType > &	__x
	)

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

Parameters:

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

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

Definition at line 1868 of file random.tcc.

References std::ios_base::flags(), std::left(), and std::scientific().

template<typename _RealType >

bool std::operator==	(	const std::cauchy_distribution< _RealType > &	__d1,
		const std::cauchy_distribution< _RealType > &	__d2
	)		`[inline]`

Return true if two Cauchy distributions have the same parameters.

Definition at line 2811 of file random.h.

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

template<typename _RealType , typename _CharT , typename _Traits >

std::basic_istream< _CharT, _Traits > & std::operator>>	(	std::basic_istream< _CharT, _Traits > &	__is,
		std::cauchy_distribution< _RealType > &	__x
	)

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

Parameters:

__is	An input stream.
__x	A cauchy_distribution random number generator engine.

Returns:: The input stream with __x extracted or in an error state.

Definition at line 1892 of file random.tcc.

References std::dec(), std::ios_base::flags(), std::cauchy_distribution< _RealType >::param(), and std::skipws().