Visible to Intel only — GUID: GUID-1F8B0AA4-3AF2-496A-8D63-313D50FAD69D
Visible to Intel only — GUID: GUID-1F8B0AA4-3AF2-496A-8D63-313D50FAD69D
beta
Generates Beta distributed random numbers.
Description
The beta class object is used in the generate function to provide random numbers with beta distribution that has shape parameters and , displacement , and scale parameter , where , , , .
The probability density function is given by:
The cumulative distribution function is as follows:
Where is the complete beta function.
API
Syntax
namespace oneapi::mkl::rng::device {
template<typename RealType, typename Method>
class beta {
public:
using method_type = Method;
using result_type = RealType;
beta() : beta((RealType)1.0, (RealType)1.0, (RealType)0.0, (RealType)1.0){}
explicit beta(RealType p, RealType q, RealType a, RealType b);
explicit beta(const param_type& pt);
RealType p() const;
RealType q() const;
RealType a() const;
RealType b() 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 |
---|---|---|
p |
RealType (float, double) |
Shape p. |
q |
RealType (float, double) |
Shape q. |
a |
RealType (float, double) |
Displacement . |
b |
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.