Namespaces
Variants
Views
Actions

std::extreme_value_distribution

From cppreference.com
< cpp‎ | numeric‎ | random
Revision as of 22:18, 20 June 2020 by Fruderica (Talk | contribs)

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

Produces random numbers according to the extreme value distribution (it is also known as Gumbel Type I, log-Weibull, Fisher-Tippett Type I):

p(x;a,b) =
1
b
exp

a-x
b
- exp

a-x
b




std::extreme_value_distribution satisfies all requirements of RandomNumberDistribution

Contents

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

constructs new distribution
(public member function) [edit]
(C++11)
resets the internal state of the distribution
(public member function) [edit]
Generation
generates the next random number in the distribution
(public member function) [edit]
Characteristics
(C++11)
returns the distribution parameters
(public member function) [edit]
(C++11)
gets or sets the distribution parameter object
(public member function) [edit]
(C++11)
returns the minimum potentially generated value
(public member function) [edit]
(C++11)
returns the maximum potentially generated value
(public member function) [edit]

Non-member functions

(C++11)(C++11)(removed in C++20)
compares two distribution objects
(function) [edit]
performs stream input and output on pseudo-random number distribution
(function template) [edit]

Example

#include <algorithm>
#include <cmath>
#include <iomanip>
#include <iostream>
#include <map>
#include <random>
#include <vector>
 
template<int height=5, int bar_width=1, int padding=1, int offset=0, class S>
void draw_vbars(S const& s) {
    const auto [min, max] = std::minmax_element(std::cbegin(s), std::cend(s));
    std::vector<div_t> qr;
    for (float e:s)
        qr.push_back(std::div(std::lerp(0.f,height*8,(e-*min)/(*max-*min)),8));
    for (auto h{height}; h-->0 ;) {
        for (auto o{offset}; o-->0 ;) std::cout << ' ';
        for (auto [q, r] : qr) { char d[] = "█"; int w{bar_width};
            if (q < h) { while (w-->0) std::cout << ' '; } else {
            if (q == h) { d[2] -= (7 - r); } while (w-->0) std::cout << d; }
            for (auto p{padding}; p-->0 ;) std::cout << ' ';
        }   std::cout << '\n';
    }
}
 
int main()
{
    std::random_device rd{};
    std::mt19937 gen{rd()};
 
    std::extreme_value_distribution<> d{-1.21f, 1.21f};
 
    std::map<int, int> hist{};
    for(int n=0; n<10000; ++n) {
        ++hist[std::round(d(gen))];
    }
 
    std::vector<float> bars;
    for(const auto [n,p] : hist) {
        bars.push_back(p/200);
    }
 
    draw_vbars<5,4>(bars);
    for(const auto [n,p] : hist) {
        std::cout << ' ' << std::setw(2) << n << "  ";
    }
    std::cout << '\n';
}

Possible output:

               ████                                                   
          ████ ████ ▅▅▅▅                                              
          ████ ████ ████                                              
          ████ ████ ████ ▇▇▇▇                                         
▁▁▁▁ ▆▆▆▆ ████ ████ ████ ████ ▆▆▆▆ ▃▃▃▃ ▁▁▁▁ ▁▁▁▁ ▁▁▁▁ ▁▁▁▁ ▁▁▁▁ ▁▁▁▁ 
 -4   -3   -2   -1    0    1    2    3    4    5    6    7    8    9

External links

Weisstein, Eric W. "Extreme Value Distribution." From MathWorld--A Wolfram Web Resource.