template< class IntType = int >
class geometric_distribution;
Produces random non-negative integer values i, distributed according to discrete probability function:
The value represents the number of failures in a series of independent yes/no trials (each succeeds with probability p), before exactly 1 success occurs.
std::geometric_distribution<>(p) is exactly equivalent to std::negative_binomial_distribution<>(1, p). It is also the discrete counterpart of std::exponential_distribution.
std::geometric_distribution
satisfies RandomNumberDistribution.
result_type
(C++11) IntType param_type
(C++11) the type of the parameter set, see RandomNumberDistribution. [edit] Member functions constructs new distribution
std::geometric_distribution<>(0.5) is the default and represents the number of coin tosses that are required to get heads.
#include <iomanip> #include <iostream> #include <map> #include <random> #include <string> int main() { std::random_device rd; std::mt19937 gen(rd()); std::geometric_distribution<> d; // same as // std::negative_binomial_distribution<> d(1, 0.5): std::map<int, int> hist; for (int n = 0; n != 10000; ++n) ++hist[d(gen)]; for (auto [x, y] : hist) { const char c = x < 10 ? x + '0' : x - 10 + 'a'; std::cout << c << ' ' << std::string(y / 100, '*') << '\n'; } }
Possible output:
0 ************************************************* 1 ************************* 2 ************ 3 ****** 4 ** 5 * 6 7 8 9[edit] External links
RetroSearch is an open source project built by @garambo | Open a GitHub Issue
Search and Browse the WWW like it's 1997 | Search results from DuckDuckGo
HTML:
3.2
| Encoding:
UTF-8
| Version:
0.7.4