std::piecewise_linear_distribution
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                    |   Defined in header <random>
   | 
||
|   template< class RealType = double > class piecewise_linear_distribution;  | 
(since C++11) | |
std::piecewise_linear_distribution produces random floating-point numbers, which are distributed according to a linear probability density function within each of the several subintervals [b
i, b
i+1). The distribution is such that the probability density at each interval boundary is exactly the predefined value p
i. 
i≤x<b
i+1 is p
i
| b i+1-x  | 
| b i+1-b i  | 
i+1
| x-b i  | 
| b i+1-b i  | 
k are calculated as w
k/S where S is the sum of all
| 1 | 
| 2 | 
k+w
k+1)(b
k+1−b
k).
The set of interval boundaries b
i and the set of weights at boundaries w
i are the parameters of this distribution.
Contents | 
[edit] Member types
| Member type | Definition | 
  result_type
 | 
RealType | 
  param_type
 | 
the type of the parameter set, unspecified | 
[edit] Member functions
|   constructs new distribution  (public member function)  | |
|    resets the internal state of the distribution   (public member function)  | |
 Generation | |
|    generates the next random number in the distribution   (public member function)  | |
 Characteristics | |
|    returns the distribution parameters   (public member function)  | |
|    gets or sets the distribution parameter object   (public member function)  | |
|    returns the minimum potentially generated value  (public member function)  | |
|    returns the maximum potentially generated value   (public member function)  | |
[edit] Non-member functions
|     compares two distribution objects   (function)  | |
|    performs stream input and output on pseudo-random number distribution   (function)  | |
[edit] Example
#include <iostream> #include <iomanip> #include <string> #include <map> #include <random> int main() { std::random_device rd; std::mt19937 gen(rd()); // increase the probability from 0 to 5 // remain flat from 5 to 10 // decrease from 10 to 15 at the same rate std::vector<double> i{0, 5, 10, 15}; std::vector<double> w{0, 1, 1, 0}; std::piecewise_linear_distribution<> d(i.begin(), i.end(), w.begin()); std::map<int, int> hist; for(int n=0; n<10000; ++n) { ++hist[d(gen)]; } for(auto p : hist) { std::cout << std::setw(2) << p.first << ' ' << std::string(p.second/100, } }
Output:
0 * 1 *** 2 **** 3 ****** 4 ********* 5 ********* 6 ********* 7 ********** 8 ********* 9 ********** 10 ********* 11 ******* 12 **** 13 *** 14 *