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std::extrem...distribution(3) C++ Standard Libarystd::extrem...distribution(3) NAME std::extreme_value_distribution - std::extreme_value_distribution Synopsis Defined in header <random> template< class RealType = double > (since C++11) class extreme_value_distribution; Produces random numbers according to the extreme value distribution (it is also known as Gumbel Type I, log-Weibull, Fisher-Tippett Type I): \({\small p(x;a,b) = \frac{1}{b} \exp{(\frac{a- x}{b}-\exp{(\frac{a-x}{b})})} }\)p(x;a,b) = 1 b exp a-x b - exp a-x b std::extreme_value_distribution satisfies all requirements of RandomNumberDistribution Template parameters RealType - The result type generated by the generator. The effect is undefined if this is not one of float, double, or long double. Member types Member type Definition result_type RealType param_type(C++11) the type of the parameter set, see RandomNum- berDistribution. Member functions constructor constructs new distribution (C++11) (public member function) reset resets the internal state of the distribution (C++11) (public member function) Generation operator() generates the next random number in the distribution (C++11) (public member function) Characteristics a returns the distribution parameters b (public member function) param gets or sets the distribution parameter object (C++11) (public member function) min returns the minimum potentially generated value (C++11) (public member function) max returns the maximum potentially generated value (C++11) (public member function) Non-member functions operator== operator!= compares two distribution objects (C++11) (function) (C++11)(removed in C++20) operator<< performs stream input and output on pseudo-random number operator>> distribution (C++11) (function template) Example // Run this code #include <random> #include <map> #include <iomanip> #include <algorithm> #include <iostream> #include <vector> #include <cmath> template <int Height = 5, int BarWidth = 1, int Padding = 1, int Off- set = 0, class Seq> void draw_vbars(Seq&& s, const bool DrawMinMax = true) { static_assert((Height > 0) && (BarWidth > 0) && (Padding >= 0) && (Offset >= 0)); auto cout_n = [](auto&& v, int n = 1) { while (n-- > 0) std::cout << v; }; const auto [min, max] = std::minmax_element(std::cbegin(s), std::cend(s)); std::vector<std::div_t> qr; for (typedef decltype(*cbegin(s)) V; V e : s) qr.push_back(std::div(std::lerp(V(0), Height*8, (e - *min)/(*max - *min)), 8)); for (auto h{Height}; h-- > 0; cout_n('\n')) { cout_n(' ', Offset); for (auto dv : qr) { const auto q{dv.quot}, r{dv.rem}; unsigned char d[] { 0xe2, 0x96, 0x88, 0 }; // Full Block: '' q < h ? d[0] = ' ', d[1] = 0 : q == h ? d[2] -= (7 - r) : 0; cout_n(d, BarWidth), cout_n(' ', Padding); } if (DrawMinMax && Height > 1) Height - 1 == h ? std::cout << " " << *max: h ? std::cout << " " : std::cout << " " << *min; } } int main() { std::random_device rd{}; std::mt19937 gen{rd()}; std::extreme_value_distribution<> d{-1.618f, 1.618f}; const int norm = 10'000; const float cutoff = 0.000'3f; std::map<int, int> hist{}; for(int n=0; n<norm; ++n) { ++hist[std::round(d(gen))]; } std::vector<float> bars; std::vector<int> indices; for(const auto& [n,p] : hist) { float x = p*(1.0f/norm); if (x > cutoff) { bars.push_back(x); indices.push_back(n); } } draw_vbars<8,4>(bars); for (int n : indices) { std::cout << " " << std::setw(2) << n << " "; } std::cout << '\n'; } Possible output: 0.2186 0.0005 -5 -4 -3 -2 -1 0 1 2 3 4 5 6 7 8 9 10 External links Weisstein, Eric W. "Extreme Value Distribution." From MathWorld--A Wolfram Web Resource. http://cppreference.com 2022.07.31 std::extrem...distribution(3)
NAME | Synopsis | Template parameters | Member types | Member functions | Generation | Characteristics | Non-member functions | Example | Possible output: | External links
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