std::piecewise_constant_distribution
From cppreference.com
Defined in header <random>
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template< class RealType = double > class piecewise_constant_distribution; |
(since C++11) | |
std::piecewise_constant_distribution produces random floating-point numbers, which are uniformly distributed within each of the several subintervals [b
i, b
i+1), each with its own weight w
i. The set of interval boundaries and the set of weights are the parameters of this distribution.
i≤x<b
i+1 is
w k |
S (b i+1 - b i) |
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 | |
obtains the list of interval boundaries (public member function) | |
obtains the list of probability densities (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 <string> #include <map> #include <random> int main() { std::random_device rd; std::mt19937 gen(rd()); // 50% of the time, generate a random number between 0 and 1 // 50% of the time, generate a random number between 10 and 15 std::vector<double> i{0, 1, 10, 15}; std::vector<double> w{ 1, 0, 1}; std::piecewise_constant_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 << p.first << ' ' << std::string(p.second/100, '*') << '\n'; } }
Output:
0 ************************************************** 10 ********** 11 ********* 12 ********* 13 ********** 14 *********