Generates Poisson distributed random values with varying mean.
template<typename IntType = std::int32_t, typename Method = mkl::rng::poisson_v_method::by_default>
class poisson_v {
public:
using method_type = Method;
using result_type = IntType;
explicit poisson_v(std::vector<double> lambda
explicit poisson_v(const poisson_v<IntType, Method>& other);
std::vector<double> lambda() const;
poisson_v<IntType, Method>& operator=(const poisson_v<IntType, Method>& other);
};
Devices supported: Host and CPU
The mkl::rng::poisson_v class object is used in the mkl::rng::generate function to provide n Poisson distributed random numbers xi(i = 1, ..., n) with distribution parameter λi, where λi∈R; λi > 0.
The probability distribution is given by:
The cumulative distribution function is as follows:
Optimization Notice |
---|
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 |
typename IntType = std::int32_t |
Type of the produced values. The specific values are as follows: std::int32_t std::uint32_t |
typename Method = mkl::rng::poisson_v_method:: by_default |
Generation method. The specific values are as follows: mkl::rng::poisson_v_method::gaussian_icdf_based See brief descriptions of the methods in Distributions Template Parameter Method Values |
Name |
Type |
Description |
---|---|---|
lambda |
std::vector<double> |
Array of n distribution parameters λ. |