Visible to Intel only — GUID: GUID-3D6CF321-67F8-46DE-991A-204C25B2A6B0
Visible to Intel only — GUID: GUID-3D6CF321-67F8-46DE-991A-204C25B2A6B0
gamma
Generates Gamma distributed random numbers.
Description
The gamma class object is used in the generate function to provide random numbers with gamma distribution that has shape , displacement , and scale parameter , where .
The probability distribution is given by:
The cumulative distribution function is as follows:
API
Syntax
namespace oneapi::mkl::rng::device {
template<typename RealType, typename Method>
class gamma {
public:
using method_type = Method;
using result_type = RealType;
gamma() : gamma((RealType)1.0, (RealType)0.0, (RealType)1.0){}
explicit gamma(RealType alpha, RealType a, RealType beta);
explicit gamma(const param_type& pt);
RealType alpha() const;
RealType a() const;
RealType beta() const;
param_type param() const;
std::size_t count_rejected_numbers() const;
void param(const param_type& pt);
};
}
Include Files
oneapi/mkl/rng/device.hpp
Template Parameters
typename Type |
Type of the produced values. The specific values are as follows:
|
typename Method |
Generation method. The specific values are as follows:
See brief descriptions of the methods in Distributions Template Parameter Method |
Input Parameters
Name |
Type |
Description |
---|---|---|
alpha |
RealType (float, double) |
Shape . |
a |
RealType (float, double) |
Displacement a. |
beta |
RealType (float, double) |
Scalefactor . |
Special methods
std::size_t count_rejected_numbers() const
Returns the amount of random numbers that were rejected during the last generate function call. If no generate calls, returns 0.