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

List of all members.

Classes

struct  param_type

Public Types

typedef _RealType result_type

Public Member Functions

 lognormal_distribution (_RealType __m=_RealType(0), _RealType __s=_RealType(1))
 lognormal_distribution (const param_type &__p)
_RealType m () const
result_type max () const
result_type min () 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 ()
_RealType s () const

Friends

template<typename _RealType1 , typename _CharT , typename _Traits >
std::basic_ostream< _CharT,
_Traits > & 
operator<< (std::basic_ostream< _CharT, _Traits > &__os, const std::lognormal_distribution< _RealType1 > &__x)
bool operator== (const lognormal_distribution &__d1, const lognormal_distribution &__d2)
template<typename _RealType1 , typename _CharT , typename _Traits >
std::basic_istream< _CharT,
_Traits > & 
operator>> (std::basic_istream< _CharT, _Traits > &__is, std::lognormal_distribution< _RealType1 > &__x)

Detailed Description

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

A lognormal_distribution random number distribution.

The formula for the normal probability mass function is

\[ p(x|m,s) = \frac{1}{sx\sqrt{2\pi}} \exp{-\frac{(\ln{x} - m)^2}{2s^2}} \]

Definition at line 2164 of file random.h.


Member Typedef Documentation

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

The type of the range of the distribution.

Definition at line 2171 of file random.h.


Member Function Documentation

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

Returns the least upper bound value of the distribution.

Definition at line 2255 of file random.h.

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

Returns the greatest lower bound value of the distribution.

Definition at line 2248 of file random.h.

template<typename _RealType = double>
template<typename _UniformRandomNumberGenerator >
result_type std::lognormal_distribution< _RealType >::operator() ( _UniformRandomNumberGenerator &  __urng)
inline
template<typename _RealType = double>
param_type std::lognormal_distribution< _RealType >::param ( ) const
inline

Returns the parameter set of the distribution.

Definition at line 2233 of file random.h.

Referenced by std::lognormal_distribution< _RealType >::operator()().

template<typename _RealType = double>
void std::lognormal_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 2241 of file random.h.

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

Resets the distribution state.

Definition at line 2215 of file random.h.

References std::normal_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::lognormal_distribution< _RealType1 > &  __x 
)
friend

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

Parameters:
__osAn output stream.
__xA lognormal_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 lognormal_distribution< _RealType > &  __d1,
const lognormal_distribution< _RealType > &  __d2 
)
friend

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

Definition at line 2278 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::lognormal_distribution< _RealType1 > &  __x 
)
friend

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

Parameters:
__isAn input stream.
__xA lognormal_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: