oneapi::mkl::rng::weibull
Generates Weibull distributed random numbers.
Description
The 
, where 
.
oneapi::mkl::rng::weibull
class object is used in the oneapi::mkl::rng::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 |
|---|
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: Host, 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. |