std::exponential_distribution - Online Linux Manual PageSection : 3
Updated : 19 Jun 2018
Source : libstdc++
NAMEstd::exponential_distribution − An exponential continuous distribution for random numbers.
SYNOPSIS
Public Typestypedef _RealType input_type
typedef _RealType result_type
Public Member Functionsexponential_distribution (const result_type &__lambda=result_type(1))
_RealType lambda () const
template<class _UniformRandomNumberGenerator > result_type operator() (_UniformRandomNumberGenerator &__urng)
void reset ()
Friendstemplate<typename _RealType1 , typename _CharT , typename _Traits > std::basic_ostream< _CharT, _Traits > & operator<< (std::basic_ostream< _CharT, _Traits > &__os, const exponential_distribution< _RealType1 > &__x)
template<typename _CharT , typename _Traits > std::basic_istream< _CharT, _Traits > & operator>> (std::basic_istream< _CharT, _Traits > &__is, exponential_distribution &__x)
Detailed Description
template<typename _RealType = double> class std::exponential_distribution< _RealType >An exponential continuous distribution for random numbers. The formula for the exponential probability mass function is $ p(x) = \lambda e^{-\lambda x} $. Mean$ \frac{1}{\lambda} $ Median$ \frac{\ln 2}{\lambda} $ Mode$ zero $ Range$[0, \infty]$ Standard Deviation$ \frac{1}{\lambda} $ Distribution Statistics Definition at line 2148 of file tr1_impl/random.
Constructor & Destructor Documentation
template<typename _RealType = double> std::exponential_distribution< _RealType >::exponential_distribution (const result_type & __lambda = result_type(1)) [inline, explicit] Constructs an exponential distribution with inverse scale parameter $ \lambda $.Definition at line 2161 of file tr1_impl/random.
Member Function Documentation
template<typename _RealType = double> _RealType std::exponential_distribution< _RealType >::lambda () const [inline] Gets the inverse scale parameter of the distribution.Definition at line 2171 of file tr1_impl/random.
template<typename _RealType = double> void std::exponential_distribution< _RealType >::reset () [inline] Resets the distribution.Has no effect on exponential distributions. Definition at line 2180 of file tr1_impl/random.
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 exponential_distribution< _RealType1 > & __x) [friend] Inserts a exponential_distribution random number distribution __x into the output stream __os.Parameters: __os An output stream.
__x A exponential_distribution random number distribution. Returns: The output stream with the state of __x inserted or in an error state.
template<typename _RealType = double> template<typename _CharT , typename _Traits > std::basic_istream<_CharT, _Traits>& operator>> (std::basic_istream< _CharT, _Traits > & __is, exponential_distribution< _RealType > & __x) [friend] Extracts a exponential_distribution random number distribution __x from the input stream __is.Parameters: __is An input stream.
__x A exponential_distribution random number generator engine. Returns: The input stream with __x extracted or in an error state. Definition at line 2214 of file tr1_impl/random.
AuthorGenerated automatically by Doxygen for libstdc++ from the source code. 0
Johanes Gumabo
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ERROR : Need New Coding : (rof_L|13|std::exponential_distribution.3|54|\lambda e^{-\lambda x} $. |The formula for the exponential probability mass function is $ p(x) = \lambda e^{-\lambda x} $.
) (rof_escape_sequence|91|std::exponential_distribution.3|56|\frac{1}{\lambda} $ Median$ \frac{\ln 2}{\lambda} $ Mode$ zero $ Range$[0, \infty]$ Standard Deviation$ \frac{1}{\lambda} $ Distribution Statistics |Mean$ \frac{1}{\lambda} $ Median$ \frac{\ln 2}{\lambda} $ Mode$ zero $ Range$[0, \infty]$ Standard Deviation$ \frac{1}{\lambda} $ Distribution Statistics
) (rof_L|13|std::exponential_distribution.3|61|\lambda $. |.SS "template \fBstd::exponential_distribution\fP< _RealType >::\fBexponential_distribution\fP (const result_type & __lambda = \fCresult_type(1)\fP)\fC [inline, explicit]\fP"Constructs an exponential distribution with inverse scale parameter $ \lambda $.
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