exponential#
Generates exponentially distributed random numbers.
Description#
The exponential
class object is used in the generate
function to provide random numbers with
exponential distribution that has displacement \(a\) and scalefactor \(\beta\),
where \(a, \beta \in R ; \beta > 0\).
The probability density function is given by:
The cumulative distribution function is as follows:
API#
Syntax#
namespace oneapi::mkl::rng::device {
template<typename RealType, typename Method>
class exponential {
public:
using method_type = Method;
using result_type = RealType;
exponential(): exponential((RealType)0.0, (RealType)1.0){}
explicit exponential(RealType a, RealType beta);
explicit exponential(const param_type& pt);
RealType a() const;
RealType beta() const;
param_type param() const;
void param(const param_type& pt);
};
}
Include Files#
oneapi/mkl/rng/device.hpp
Template Parameters#
|
Type of the produced values. The specific values are as follows:
|
|
Generation method. The specific values are as follows:
See brief descriptions of the methods in Distributions Template Parameter Method |
Note: To enable extra optimizations based on Vector Math functions, define the MKL_RNG_USE_BINARY_CODE macro and link static oneMKL libraries according to the output produced by Intel® oneAPI Math Kernel Library Link Line Advisor. It may improve performance on some hardware.
Input Parameters#
Name |
Type |
Description |
---|---|---|
a |
|
Displacement |
beta |
|
Scalefactor \(\beta\). |