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std::weibull_distribution(3) C++ Standard Libary std::weibull_distribution(3)

NAME

std::weibull_distribution - std::weibull_distribution

Synopsis


Defined in header <random>
template< class RealType = double > (since C++11)
class weibull_distribution;


The weibull_distribution meets the requirements of a RandomNumberDistribution and
produces random numbers according to the Weibull distribution:


\(\small{f(x;a,b)=\frac{a}{b}{(\frac{x}{b})}^{a-1}\exp{(-{(\frac{x}{b})}^{a})}
}\)f(x;a,b) =


a
b





x
b




?? a-1
exp⎛

⎝-⎛


x
b




?? a


??


a is the shape parameter and b the scale parameter.


std::weibull_distribution satisfies 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(C++11) the type of the parameter set, see RandomNumberDistribution.

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


a returns the distribution parameters
b (public member function)
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 <iostream>
#include <iomanip>
#include <string>
#include <map>
#include <random>
#include <cmath>
int main()
{
std::random_device rd;
std::mt19937 gen(rd());


std::weibull_distribution<> d;


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';
}
}

Possible output:


0 *******************
1 *******************
2 ******
3 **
4
5
6
7
8

External links


* Weisstein, Eric W. "Weibull Distribution." From MathWorld--A Wolfram Web
Resource.
* Weibull distribution. From Wikipedia.

2022.07.31 http://cppreference.com