std::normal_distribution
From cppreference.com
Defined in header <random>
|
||
template< class RealType = double > class normal_distribution; |
(since C++11) | |
Generates random numbers according to the Normal (or Gaussian) random number distribution. It is defined as:
- f(x; μ,σ) =
exp⎛1 σ√2π
⎜
⎝
⎛-1 2
⎜
⎝
⎞x-μ σ
⎟
⎠2
⎞
⎟
⎠
Here μ is the Mean and σ is the Standard deviation (stddev).
std::normal_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 (C++11)
|
RealType |
param_type (C++11)
|
the type of the parameter set, see RandomNumberDistribution. |
Member functions
(C++11) |
constructs new distribution (public member function) |
(C++11) |
resets the internal state of the distribution (public member function) |
Generation | |
(C++11) |
generates the next random number in the distribution (public member function) |
Characteristics | |
(C++11) |
returns the distribution parameters (public member function) |
(C++11) |
gets or sets the distribution parameter object (public member function) |
(C++11) |
returns the minimum potentially generated value (public member function) |
(C++11) |
returns the maximum potentially generated value (public member function) |
Non-member functions
(C++11)(C++11)(removed in C++20) |
compares two distribution objects (function) |
(C++11) |
performs stream input and output on pseudo-random number distribution (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 Wolfram Web Resource. |
2. | Normal distribution — From Wikipedia. |