Classes¶

struct param_type

Public Types¶

typedef _RealType result_type

Public Member Functions¶

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, const param_type &__p)
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)

Public Attributes¶

__pad0__: _M_param(__lambda) { } explicit exponential_distribution(const param_type& __p) : _M_param(__p) { } void reset() { } _RealType lambda() const { return _M_param.lambda()

Friends¶

bool operator== (const exponential_distribution &__d1, const exponential_distribution &__d2)

template<typename _RealType = double>class std::exponential_distribution< _RealType >¶

An exponential continuous distribution for random numbers.

The formula for the exponential probability density function is $p(x|) = e^{- x}$.

Mean$ac{1}{}$ Median$ac{ge$[0, infty]$ Standard Deviation$ac{1}{}$ Distribution Statistics

Definition at line 4646 of file random.h.

template<typename _RealType = double> typedef _RealType std::exponential_distribution< _RealType >::result_type¶

The type of the range of the distribution.

Definition at line 4649 of file random.h.

template<typename _RealType = double> result_type std::exponential_distribution< _RealType >::max () const [inline]¶

Returns the least upper bound value of the distribution.

Definition at line 4734 of file random.h.

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

template<typename _RealType = double> result_type std::exponential_distribution< _RealType >::min () const [inline]¶

Returns the greatest lower bound value of the distribution.

Definition at line 4727 of file random.h.

template<typename _RealType = double> template<typename _UniformRandomNumberGenerator > result_type std::exponential_distribution< _RealType >::operator() (_UniformRandomNumberGenerator &__urng) [inline]¶

Generating functions.

Definition at line 4742 of file random.h.

template<typename _RealType = double> param_type std::exponential_distribution< _RealType >::param () const [inline]¶

Returns the parameter set of the distribution.

Definition at line 4712 of file random.h.

Referenced by std::operator>>().

template<typename _RealType = double> void std::exponential_distribution< _RealType >::param (const param_type &__param) [inline]¶

Sets the parameter set of the distribution.

Parameters:

Definition at line 4720 of file random.h.

template<typename _RealType = double> bool operator== (const exponential_distribution< _RealType > &__d1, const exponential_distribution< _RealType > &__d2) [friend]¶

Return true if two exponential distributions have the same parameters.

Definition at line 4782 of file random.h.

template<typename _RealType = double> std::exponential_distribution< _RealType >::__pad0__ [explicit]¶

Constructs an exponential distribution with inverse scale parameter $$.

Definition at line 4706 of file random.h.