std::normal_distribution
From cppreference.com
                    
                                        
                    
                    
                                                            
                    |   Defined in header  
<random>
  | 
||
|   template< class RealType = double > 
class normal_distribution;  | 
(since C++11) | |
Normal (or Guassian) random number distribution:
-  f(x; μ,σ) = 
exp⎛1 σ√2π 
⎜
⎝-
⎛1 2 
⎜
⎝
⎞x-μ σ 
⎟
⎠2
⎞
⎟
⎠ 
With the mean μ and the standard deviation (stddev) σ.
Contents | 
[edit] Member types
| Member type | Definition | 
  result_type
 | 
RealType | 
  param_type
 | 
the type of the parameter set, unspecified | 
[edit] Member functions
|   constructs new distribution  (public member function)  | 
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|    resets the internal state of the distribution   (public member function)  | 
|
 Generation | 
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|    generates the next random number in the distribution   (public member function)  | 
|
 Characteristics | 
|
|    returns the mean (μ) distribution parameter   (public member function)  | 
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|    returns the standard deviation (σ) distribution parameter   (public member function)  | 
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|    gets or sets the distribution parameter object   (public member function)  | 
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|    returns the minimum potentially generated value  (public member function)  | 
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|    returns the maximum potentially generated value   (public member function)  | 
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[edit] Non-member functions
|     compares two distribution objects   (function)  | 
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|    performs stream input and output on pseudo-random number distribution   (function)  | 
|
[edit] Example
#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
[edit] External links
- Weisstein, Eric W. "Normal Distribution." From MathWorld--A Wolfram Web Resource.
 - Normal Distribution. From Wikipedia.