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std::piecewise_constant_distribution

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< cpp‎ | numeric‎ | random

 
 
Numéricos biblioteca
Funciones matemáticas comunes
Floating-point medio ambiente
Los números complejos
Matrices numéricas
Pseudo-aleatoria de generación de números
En tiempo de compilación aritmética racional (C++11)
Genéricos operaciones numéricas
Original:
Generic numeric operations
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(C++11)
 
Pseudo-aleatoria de generación de números
Motores y adaptadores de motor
Original:
Engines and engine adaptors
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Generadores
Original:
Generators
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Distribuciones
Original:
Distributions
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Distribuciones uniformes
Original:
Uniform distributions
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Bernoulli distribuciones
Original:
Bernoulli distributions
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Poisson distribuciones
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Poisson distributions
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Distribuciones normales
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Normal distributions
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Distribuciones de muestreo
Original:
Sampling distributions
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piecewise_constant_distribution
(C++11)
Secuencias de semillas
Original:
Seed Sequences
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(C++11)
C biblioteca
Original:
C library
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std::piecewise_constant_distribution
Las funciones miembro
Original:
Member functions
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Generación
Original:
Generation
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Características
Original:
Characteristics
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Terceros funciones
Original:
Non-member functions
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Definido en la cabecera <random>
template< class RealType = double >
class piecewise_constant_distribution;
(desde C++11)
std::piecewise_constant_distribution produce al azar números de punto flotante, que están distribuidos uniformemente dentro de cada uno de los subintervalos [b
i
, b
i+1
)
varios, cada uno con su propio peso w
i
. El conjunto de límites de intervalo y el conjunto de ponderaciones son los parámetros de esta distribución .
Original:
std::piecewise_constant_distribution produces random floating-point numbers, which are uniformly distributed within each of the several subintervals [b
i
, b
i+1
)
, each with its own weight w
i
. The set of interval boundaries and the set of weights are the parameters of this distribution.
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La densidad de probabilidad para cualquier b
i
≤x<b
i+1
es None
w
k
S (b
i+1
- b
i
)
. donde S es la suma de todos los pesos .
Original:
The probability density for any b
i
≤x<b
i+1
is None
w
k
S (b
i+1
- b
i
)
. where S is the sum of all weights.
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Contenido

[editar] Tipos de miembros

Miembro de tipo
Original:
Member type
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Definition
result_type RealType
param_type
el tipo del conjunto de parámetros, sin especificar
Original:
the type of the parameter set, unspecified
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[editar] Las funciones miembro

construye nueva distribución
Original:
constructs new distribution
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(función miembro público) [editar]
restablece el estado interno de la distribución
Original:
resets the internal state of the distribution
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(función miembro público) [editar]
Generación
Original:
Generation
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genera el siguiente número aleatorio en la distribución
Original:
generates the next random number in the distribution
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(función miembro público) [editar]
Características
Original:
Characteristics
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obtiene la lista de límites del intervalo
Original:
obtains the list of interval boundaries
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(función miembro público) [editar]
obtiene la lista de las densidades de probabilidad
Original:
obtains the list of probability densities
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(función miembro público) [editar]
obtiene o establece el objeto de parámetro de distribución
Original:
gets or sets the distribution parameter object
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(función miembro público) [editar]
devuelve el valor mínimo potencialmente generado
Original:
returns the minimum potentially generated value
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(función miembro público) [editar]
devuelve el valor máximo potencialmente generado
Original:
returns the maximum potentially generated value
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(función miembro público) [editar]

[editar] Terceros funciones

compara dos objetos de distribución
Original:
compares two distribution objects
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(función) [editar]
realiza flujo de entrada y salida en la distribución de números pseudo-aleatorios
Original:
performs stream input and output on pseudo-random number distribution
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(función) [editar]

[editar] Ejemplo

#include <iostream>
#include <string>
#include <map>
#include <random>
 
int main()
{
    std::random_device rd;
    std::mt19937 gen(rd());
    // 50% of the time, generate a random number between 0 and 1
    // 50% of the time, generate a random number between 10 and 15
    std::vector<double> i{0,  1, 10, 15};
    std::vector<double> w{  1,  0,  1};
    std::piecewise_constant_distribution<> d(i.begin(), i.end(), w.begin());
 
    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';
    }
}

Salida:

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