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 | RealType | 
| param_type | the type of the parameter set, see RandomNumberDistribution. | 
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 | |
| returns the distribution parameters (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) | |
Non-member functions
| compares two distribution objects (function) | |
| performs stream input and output on pseudo-random number distribution (function template) | 
Example
Run this code
#include <iostream> #include <iomanip> #include <string> #include <map> #include <random> #include <cmath> 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(5,2); std::map<int, int> hist; for(int n=0; n<10000; ++n) { ++hist[std::round(d(gen))]; } for(auto p : hist) { std::cout << std::fixed << std::setprecision(1) << std::setw(2) << p.first << ' ' << std::string(p.second/200, '*') << '\n'; } }
Output:
-2 -1 0 1 * 2 *** 3 ****** 4 ******** 5 ********** 6 ******** 7 ***** 8 *** 9 * 10 11 12
External links
- Weisstein, Eric W. "Normal Distribution." From MathWorld--A Wolfram Web Resource.
- Normal Distribution. From Wikipedia.