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std::normal_distribution(3) C++ Standard Libary std::normal_distribution(3) NAME std::normal_distribution - std::normal_distribution Synopsis Defined in header <random> template< class RealType = double > (since C++11) class normal_distribution; Generates random numbers according to the Normal (or Gaussian) ran- dom number distribution. It is defined as: \(\small{f(x;\mu,\sigma)}=\frac{1}{\sigma\sqrt{2\pi} }\exp{(-\frac{1}{2}{(\frac{x-\mu}{\sigma})}^2)}\)f(x; ,) = 1 2 exp -1 2 x- 2 Here \(\small\mu\) is the Mean and \(\small\sigma\) is the Standard deviation (stddev). std::normal_distribution satisfies all requirements of RandomNum- berDistribution. 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 (C++11) 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 mean returns the distribution parameters stddev (public member function) (C++11) 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 <cmath> #include <iomanip> #include <iostream> #include <map> #include <random> #include <string> int main() { std::random_device rd{}; std::mt19937 gen{rd()}; // values near the mean are the most likely // standard deviation affects the dispersion of generated values from the mean std::normal_distribution d{5.0, 2.0}; // draw a sample from the normal distribution and round it to an integer auto random_int = [&d, &gen]{ return std::round(d(gen)); }; std::map<int, int> hist{}; for (int n = 0; n != 10000; ++n) ++hist[random_int()]; for (auto [x, y] : hist) std::cout << std::setw(2) << x << ' ' << std::string(y / 200, '*') << '\n'; } Possible output: -2 -1 0 1 * 2 *** 3 ****** 4 ******** 5 ********** 6 ******** 7 ***** 8 *** 9 * 10 11 12 External links 1. Weisstein, Eric W. "Normal Distribution." From MathWorld A Wol- fram Web Resource. 2. Normal distribution From Wikipedia. http://cppreference.com 2024.06.10 std::normal_distribution(3)
NAME | Synopsis | Template parameters | Member types | Member functions | Generation | Characteristics | Non-member functions | Example | Possible output: | External links
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