beta#
Generates beta distributed random values.
Description#
The beta
class object is used in the generate
function to provide random numbers with beta distribution
that has shape parameters p and q
, displacement a
, and scale parameter (b
, β
),
where p
, q
, a
, and \(\beta \in R ; p > 0, q > 0, \beta > 0\).
The probability density function is given by:
where B
(p
, q
) is the complete beta function.
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 = beta_method::by_default>
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;
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 |
---|---|---|
p |
|
Shape |
q |
|
Shape |
a |
|
Displacement |
b |
|
Scalefactor |