std::poisson_distribution
De cppreference.com
|
|
This page has been machine-translated from the English version of the wiki using Google Translate.
The translation may contain errors and awkward wording. Hover over text to see the original version. You can help to fix errors and improve the translation. For instructions click here. |
| Defined in header <random>
|
||
| template< class IntType = int > class poisson_distribution; |
(ya que C + +11) | |
Produce aleatorio no negativo i valores enteros, distribuidos de acuerdo con función de probabilidad discreta:
Original:
Produces random non-negative integer values i, distributed according to discrete probability function:
The text has been machine-translated via Google Translate.
You can help to correct and verify the translation. Click here for instructions.
You can help to correct and verify the translation. Click here for instructions.
- 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.
[editar] Tipos de miembros
| Miembro de 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
|
IntType |
param_type
|
el tipo del conjunto de parámetros, sin especificar
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. |
[editar] Las funciones miembro
| construye nueva distribución 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. (miembro público función) | |
| restablece el estado interno de la distribución 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. (miembro público función) | |
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 el siguiente número aleatorio en la distribución 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. (miembro público función) | |
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) (miembro público función) | |
| obtiene o establece el objeto de parámetro de distribución 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. (miembro público función) | |
| devuelve el valor mínimo potencialmente generado 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. (miembro público función) | |
| devuelve el valor máximo potencialmente generado 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. (miembro público función) | |
[editar] Terceros funciones
| compara dos objetos de distribución 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. (función) | |
| realiza flujo de entrada y salida en la distribución de números pseudo-aleatorios 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. (función) | |
[editar] Ejemplo
#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
[editar] Enlaces externos
Weisstein, Eric W. "Poisson Distribution." De MathWorld - Un recurso del 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.
You can help to correct and verify the translation. Click here for instructions.