Defined in header <random> | ||
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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) =
1 |
σ√2π |
-1 |
2 |
x-μ |
σ |
Here μ is the mean and σ is the standard deviation (stddev).
std::normal_distribution
satisfies all requirements of RandomNumberDistribution.
RealType | - | The result type generated by the generator. The effect is undefined if this is not one of float , double , or long double . |
Member type | Definition |
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result_type | RealType |
param_type | the type of the parameter set, see RandomNumberDistribution. |
constructs new distribution (public member function) |
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resets the internal state of the distribution (public member function) |
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Generation |
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generates the next random number in the distribution (public member function) |
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Characteristics |
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returns the distribution parameters (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) |
compares two distribution objects (function) |
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performs stream input and output on pseudo-random number distribution (function template) |
#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::setw(2) << p.first << ' ' << std::string(p.second/200, '*') << '\n'; } }
Possible output:
-2 -1 0 1 * 2 *** 3 ****** 4 ******** 5 ********** 6 ******** 7 ***** 8 *** 9 * 10 11 12
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