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negative_binomial
Generates random numbers with negative binomial distribution.
Description
The negative_binomial class object is used in the generate function to provide random numbers with negative binomial distribution and distribution parameters a and p, where 
.
If the first distribution parameter 
, this distribution is the same as Pascal distribution. If 
, the distribution can be interpreted as the expected time of a-th success in a sequence of Bernoulli trials, when the probability of success is p.
The probability distribution 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 IntType = std::int32_t,
           typename Method = negative_binomial_method::by_default>
  class negative_binomial {
  public:
    using method_type = Method;
    using result_type = IntType;
    negative_binomial(): negative_binomial(0.1, 0.5){}
    explicit negative_binomial(double a, double p);
    explicit negative_binomial(const param_type& pt);
    double a() const;
    double p() const;
    param_type param() const;
    void param(const param_type& pt);
  };
} 
   Devices supported: CPU and GPU
Include Files
oneapi/mkl/rng.hpp
Template Parameters
typename IntType = std::int32_t  |  
        Type of the produced values. The specific values are as follows: std::int32_t std::uint32_t  |  
       
typename Method = oneapi::mkl::rng::negative_binomial_method::by_default  |  
        Generation method. The specific values are as follows: oneapi::mkl::rng::negative_binomial_method::nbar See brief descriptions of the methods in Distributions Template Parameter Method.  |  
       
Input Parameters
Name  |  
        Type  |  
        Description  |  
       
|---|---|---|
a  |  
        double  |  
        The first distribution parameter a.  |  
       
p  |  
        double  |  
        The second distribution parameter p.  |