std::poisson_distribution
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<metanoindex/>
<tbody> </tbody>| Elemento definito nell'header <random>
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template< class IntType = int > class poisson_distribution; |
(dal C++11) | |
Produce casuale non negativo i valori interi, distribuito in base alla funzione di probabilità discrete:
Original:
Produces random non-negative integer values i, distributed according to discrete probability function:
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- P(i|μ) =
e-μ
·μii!
The value obtained is the probability of exactly i occurrences of a random event if the expected, mean number of its occurrence under the same conditions (on the same time/space interval) is μ.
Membri tipi
Membro tipo
Original: Member type The text has been machine-translated via Google Translate. You can help to correct and verify the translation. Click here for instructions. |
Definition |
result_type
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IntType
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param_type
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il tipo di set di parametri, non specificato
Original: the type of the parameter set, unspecified The text has been machine-translated via Google Translate. You can help to correct and verify the translation. Click here for instructions. |
Membri funzioni
costruisce nuova distribuzione Original: constructs new distribution The text has been machine-translated via Google Translate. You can help to correct and verify the translation. Click here for instructions. (metodo pubblico) | |
ripristina lo stato interno della distribuzione Original: resets the internal state of the distribution The text has been machine-translated via Google Translate. You can help to correct and verify the translation. Click here for instructions. (metodo pubblico) | |
Original: Generation The text has been machine-translated via Google Translate. You can help to correct and verify the translation. Click here for instructions. | |
genera il successivo numero casuale nella distribuzione Original: generates the next random number in the distribution The text has been machine-translated via Google Translate. You can help to correct and verify the translation. Click here for instructions. (metodo pubblico) | |
Original: Characteristics The text has been machine-translated via Google Translate. You can help to correct and verify the translation. Click here for instructions. | |
| returns the mean distribution parameter (mean number of occurrences of the event) (metodo pubblico) | |
ottiene o imposta l'oggetto parametro di distribuzione Original: gets or sets the distribution parameter object The text has been machine-translated via Google Translate. You can help to correct and verify the translation. Click here for instructions. (metodo pubblico) | |
restituisce il valore minimo potenzialmente generato Original: returns the minimum potentially generated value The text has been machine-translated via Google Translate. You can help to correct and verify the translation. Click here for instructions. (metodo pubblico) | |
restituisce il valore massimo potenzialmente generato Original: returns the maximum potentially generated value The text has been machine-translated via Google Translate. You can help to correct and verify the translation. Click here for instructions. (metodo pubblico) | |
Non membri funzioni
confronta due oggetti di distribuzione Original: compares two distribution objects The text has been machine-translated via Google Translate. You can help to correct and verify the translation. Click here for instructions. (funzione) | |
esegue flusso di ingresso e di uscita sul pseudo-casuale distribuzione numerica Original: performs stream input and output on pseudo-random number distribution The text has been machine-translated via Google Translate. You can help to correct and verify the translation. Click here for instructions. (funzione) | |
Esempio
#include <iostream>
#include <iomanip>
#include <string>
#include <map>
#include <random>
int main()
{
std::random_device rd;
std::mt19937 gen(rd());
// if an event occurs 4 times a minute on average
// how often is it that it occurs n times in one minute?
std::poisson_distribution<> d(4);
std::map<int, int> hist;
for(int n=0; n<10000; ++n) {
++hist[d(gen)];
}
for(auto p : hist) {
std::cout << p.first <<
' ' << std::string(p.second/100, '*') << '\n';
}
}
Output:
0 *
1 *******
2 **************
3 *******************
4 *******************
5 ***************
6 **********
7 *****
8 **
9 *
10
11
12
13
Collegamenti esterni
Weisstein, Eric W. "Poisson Distribution." Da MathWorld - Una risorsa Web Wolfram.
Original:
Weisstein, Eric W. "Poisson Distribution." From MathWorld--A Wolfram Web Resource.
The text has been machine-translated via Google Translate.
You can help to correct and verify the translation. Click here for instructions.
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