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std::weibull_distribution

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Numerik-Bibliothek
Gemeinsame mathematischen Funktionen
Floating-Point-Umgebung
Komplexe Zahlen
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Pseudo-Zufallszahlen
Compile-time rationale Arithmetik (C++11)
Generische numerische Operationen
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iota(C++11)
accumulate
inner_product
adjacent_difference
partial_sum
 
Pseudo-Zufallszahlen
Motoren und Adaptern
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Engines and engine adaptors
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linear_congruential_engine(C++11)
mersenne_twister_engine(C++11)
subtract_with_carry_engine(C++11)
discard_block_engine(C++11)
independent_bits_engine(C++11)
shuffle_order_engine(C++11)
Generatoren
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Generators
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random_device(C++11)
Ausschüttungen
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Distributions
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Uniform-Distributionen
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Uniform distributions
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uniform_int_distribution(C++11)
uniform_real_distribution(C++11)
generate_canonical(C++11)
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Bernoulli distributions
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bernoulli_distribution(C++11)
binomial_distribution(C++11)
negative_binomial_distribution(C++11)
geometric_distribution(C++11)
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Poisson distributions
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poisson_distribution(C++11)
exponential_distribution(C++11)
gamma_distribution(C++11)
weibull_distribution(C++11)
extreme_value_distribution(C++11)
Normalverteilungen
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Normal distributions
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normal_distribution(C++11)
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discrete_distribution(C++11)
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seed_seq(C++11)
C-Bibliothek
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C library
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rand
srand
RAND_MAX
 
std::weibull_distribution
Member-Funktionen
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Member functions
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weibull_distribution::weibull_distribution
weibull_distribution::reset
Generation
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Generation
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weibull_distribution::operator()
Merkmale
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Characteristics
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weibull_distribution::a
weibull_distribution::b
weibull_distribution::param
weibull_distribution::min
weibull_distribution::max
Non-Member-Funktionen
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Non-member functions
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operator==
operator!=
operator<<
operator>>
 
Defined in header <random>
template< class RealType = double >
class weibull_distribution;
(seit C++11)
Die weibull_distribution erfüllt die Anforderungen eines RandomNumberDistribution und erzeugt Zufallszahlen gemäß der Weibull-Verteilung:
Original:
The weibull_distribution meets the requirements of a RandomNumberDistribution and produces random numbers according to the Weibull-Verteilung:
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f(x;a,b) = None
a
b


None
x
b


a-1
exp

-

None
x
b


a


a is the Formparameter and b the Skalenparameter.

Inhaltsverzeichnis

[Bearbeiten] Mitglied Typen

Mitglied Typ
Original:
Member type
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Definition
result_type RealType
param_type
die Art des Parametersatzes, nicht näher bezeichnet
Original:
the type of the parameter set, unspecified
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[Bearbeiten] Member-Funktionen

baut neue Verteilung
Original:
constructs new distribution
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(öffentliche Elementfunktion) [edit]
setzt den internen Zustand der Verteilung
Original:
resets the internal state of the distribution
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(öffentliche Elementfunktion) [edit]
Generation
Original:
Generation
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erzeugt das nächste Zufallszahl in der Verteilung
Original:
generates the next random number in the distribution
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(öffentliche Elementfunktion) [edit]
Merkmale
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Characteristics
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gibt den Formparameter (a) Verteilung Parameter
Original:
returns the shape parameter (a) distribution parameter
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(öffentliche Elementfunktion) [edit]
kehrt die Waage Verteilung Parameter (b)
Original:
returns the scale distribution parameter (b)
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(öffentliche Elementfunktion) [edit]
ab oder legt die Verteilung Parameter-Objekt
Original:
gets or sets the distribution parameter object
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(öffentliche Elementfunktion) [edit]
gibt das Minimum potentiell generierten Wert
Original:
returns the minimum potentially generated value
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(öffentliche Elementfunktion) [edit]
gibt die maximale potentiell generierten Wert
Original:
returns the maximum potentially generated value
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(öffentliche Elementfunktion) [edit]

[Bearbeiten] Non-Member-Funktionen

vergleicht zwei Verteilung Objekte
Original:
compares two distribution objects
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(Funktion) [edit]
Stream führt Eingabe und Ausgabe auf Pseudozufallszahl Verteilung
Original:
performs stream input and output on pseudo-random number distribution
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(Funktion) [edit]

[Bearbeiten] Beispiel

#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';
    }
}

Output:

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

[Bearbeiten] Externer Links