weibull
Generates Weibull distributed random numbers.
Description
The weibull class object is used in the generate function to provide Weibull distributed random numbers with displacement a, scalefactor β, and shape , where
.
The probability density function is given by:

The cumulative distribution function is as follows:

Product and Performance Information |
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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 = weibull_method::by_default>
class weibull {
public:
using method_type = Method;
using result_type = RealType;
weibull(): weibull((Real_Type)1.0, (RealType)0.0, (RealType)1.0){}
explicit weibull(RealType alpha, RealType a, RealType beta);
explicit weibull(const param_type& pt);
RealType alpha() const;
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
typename RealType = float |
Type of the produced values. The specific values are as follows: float double |
typename Method = oneapi::mkl::rng::weibull_method::by_default |
Generation method. The specific values are as follows: oneapi::mkl::rng::weibull_method::icdf oneapi::mkl::rng::weibull_method::icdf_accurate See brief descriptions of the methods in Distributions Template Parameter Method |
Input Parameters
Name |
Type |
Description |
---|---|---|
alpha |
RealType (float, double) |
Shape α |
a |
RealType (float, double) |
Displacement a. |
beta |
RealType (float, double) |
Scalefactor β. |