exponential#
Generates exponentially distributed random numbers.
Description#
The exponential
class object is used in 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:
Product and Performance Information |
---|
Performance varies by use, configuration and other factors. Learn more at https://www.intel.com/PerformanceIndex. Notice revision #20201201 |
API#
Syntax#
namespace oneapi::mkl::rng {
template<typename RealType = float,
typename Method = exponential_method::by_default>
class exponential {
public:
using method_type = Method;
using result_type = RealType;
exponential(): exponential((RealType)0.0, (RealType)1.0){}
explicit exponential(RealType mean, RealType stddev);
explicit exponential(const param_type& pt);
RealType a() const;
RealType beta() const;
param_type param() const;
void param(const param_type& pt);
};
}
Devices supported: CPU and GPU.
Include Files#
oneapi/mkl/rng.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. |
Input Parameters#
Name |
Type |
Description |
---|---|---|
a |
|
Displacement |
beta |
|
Scalefactor \(\beta\). |