oneapi::mkl::rng::geometric¶
Generates geometrically distributed random values.
Syntax
template<typename IntType = std::int32_t, typename Method = geometric_method::by_default>
class geometric {
public:
using method_type = Method;
using result_type = IntType;
geometric(): geometric(0.5){} explicit geometric(float p);
float p() const;
};
Devices supported: Host, CPU, and GPU.
Include Files
oneapi/mkl/rng.hpp
Description
The oneapi::mkl::rng::geometric class object is used in the
oneapi::mkl::rng::generate function to provide geometrically
distributed random numbers with probability p of a single trial
success, where p∈R; 0 < p < 1.
A geometrically distributed variate represents the number of
independent Bernoulli trials preceding the first success. The
probability of a single Bernoulli trial success is p.
The probability distribution is given by:
P(X = k) = p·(1 - p)k, k∈
{0,1,2, … }.
The cumulative distribution function is as follows:
Intel’s compilers may or may not optimize to the same degree for non-Intel microprocessors for optimizations that are not unique to Intel microprocessors. These optimizations include SSE2, SSE3, and SSSE3 instruction sets and other optimizations. Intel does not guarantee the availability, functionality, or effectiveness of any optimization on microprocessors not manufactured by Intel. Microprocessor-dependent optimizations in this product are intended for use with Intel microprocessors. Certain optimizations not specific to Intel microarchitecture are reserved for Intel microprocessors. Please refer to the applicable product User and Reference Guides for more information regarding the specific instruction sets covered by this notice. Notice revision #20110804 |
This notice covers the following instruction sets: SSE2, SSE4.2, AVX2, AVX-512.
Template Parameters
|
Type of the produced values. The specific values are as follows: |
|---|---|
|
Generation method. The specific values are as follows: |
Input Parameters
Name |
Type |
Description |
|---|---|---|
p |
|
Success probability |