template< class RealType = double >
class piecewise_linear_distribution;
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 \(\small{[b_i, b_{i+1})}\)[bi, bi+1). The distribution is such that the probability density at each interval boundary is exactly the predefined value \(\small{p_i}\)pi.
The probability density for any
\(\small{ b_i \le x < b_{i+1} }\)biâ¤x<bi+1is
\(\small{p_i\frac{b_{i+1}-x}{b_{i+1}-b_i} + p_{i+1}\frac{x-b_i}{b_{i+1}-b_i} }\)pi + pi+1, where probability densities at interval boundaries
\(\small{p_k}\)pkare calculated as
\(\small{w_k/S}\)wk/Swhere
\(\small{S}\)Sis the sum of all
\(\small{\frac{1}{2}(w_k + w_{k+1})(b_{k+1} - b_k)}\)(wk+wk+1)(bk+1âbk).
The set of interval boundaries \(\small{b_i}\)bi and the set of weights at boundaries \(\small{w_i}\)wi are the parameters of this distribution.
std::piecewise_linear_distribution
satisfies all requirements of RandomNumberDistribution.
result_type
(C++11) RealType param_type
(C++11) the type of the parameter set, see RandomNumberDistribution. [edit] Member functions constructs new distribution
#include <iomanip> #include <iostream> #include <map> #include <random> #include <string> 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{}; n < 1e4; ++n) ++hist[d(gen)]; for (auto [x, y] : hist) std::cout << std::setw(2) << std::setfill('0') << x << ' ' << std::string(y / 100, '*') << '\n'; }
Possible output:
00 * 01 *** 02 **** 03 ****** 04 ********* 05 ********* 06 ********* 07 ********** 08 ********* 09 ********** 10 ********* 11 ******* 12 **** 13 *** 14 *
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