Espaços nominais
Variantes
Acções

std::exponential_distribution

Da cppreference.com
< cpp‎ | numeric‎ | random

 
 
Biblioteca numéricos
Funções matemáticas comuns
De ponto flutuante ambiente
Números complexos
Matrizes numéricas
Pseudo-aleatório de geração de números
Tempo de compilação aritmética racional (C++11)
Genéricos operações numéricas
Original:
Generic numeric operations
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(C++11)
 
Pseudo-aleatório de geração de números
Motores e adaptadores de motor
Original:
Engines and engine adaptors
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Geradores
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Generators
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Distribuições
Original:
Distributions
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Distribuições uniformes
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Uniform distributions
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Distribuições de Bernoulli
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Bernoulli distributions
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Distribuições de Poisson
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Poisson distributions
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exponential_distribution
(C++11)
Distribuições normais
Original:
Normal distributions
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Distribuições de amostragem
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Sampling distributions
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Seqüências de sementes
Original:
Seed Sequences
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(C++11)
C biblioteca
Original:
C library
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std::exponential_distribution
Funções de membro
Original:
Member functions
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exponential_distribution::exponential_distribution
exponential_distribution::reset
Geração
Original:
Generation
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exponential_distribution::operator()
Características
Original:
Characteristics
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exponential_distribution::lambda
exponential_distribution::param
exponential_distribution::min
exponential_distribution::max
Não-membros funções
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Non-member functions
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Definido no cabeçalho <random>
template< class RealType = double >
class exponential_distribution;
(desde C++11)
Produz aleatórias não-negativas valores de ponto flutuante x, distribuídos de acordo com a função densidade de probabilidade:
Original:
Produces random non-negative floating-point values x, distributed according to probability density function:
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P(x|λ) = λe-λx
O valor obtido é o tempo / distância até que o próximo evento aleatório se acontecimentos aleatórios ocorrem a uma taxa constante λ por unidade de tempo / distância. Por exemplo, esta distribuição descreve o tempo entre os cliques de um contador Geiger ou a distância entre os pontos de mutação numa cadeia de DNA.
Original:
The value obtained is the time/distance until the next random event if random events occur at constant rate λ per unit of time/distance. For example, this distribution describes the time between the clicks of a Geiger counter or the distance between point mutations in a DNA strand.
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Isto é o equivalente de std::geometric_distribution contínua
Original:
This is the continuous counterpart of std::geometric_distribution
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Índice

[editar] Tipos de membro

Tipo de membro
Original:
Member type
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Definition
result_type RealType
param_type
o tipo do conjunto de parâmetros, não especificado
Original:
the type of the parameter set, unspecified
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[editar] Funções de membro

constrói nova distribuição
Original:
constructs new distribution
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(função pública membro) [edit]
redefine o estado interno da distribuição
Original:
resets the internal state of the distribution
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(função pública membro) [edit]
Geração
Original:
Generation
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gera o próximo número aleatório na distribuição
Original:
generates the next random number in the distribution
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(função pública membro) [edit]
Características
Original:
Characteristics
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retorna o lambda parâmetro de distribuição (taxa de eventos)
Original:
returns the lambda distribution parameter (rate of events)
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(função pública membro) [edit]
obtém ou define o objeto de parâmetro de distribuição
Original:
gets or sets the distribution parameter object
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(função pública membro) [edit]
retorna o valor mínimo potencialmente gerado
Original:
returns the minimum potentially generated value
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(função pública membro) [edit]
retorna o valor máximo potencialmente gerado
Original:
returns the maximum potentially generated value
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(função pública membro) [edit]

[editar] Não-membros funções

compara dois objetos de distribuição
Original:
compares two distribution objects
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(função) [edit]
executa fluxo de entrada e saída em pseudo-aleatório distribuição de números
Original:
performs stream input and output on pseudo-random number distribution
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(função) [edit]

[editar] Exemplo

#include <iostream>
#include <iomanip>
#include <string>
#include <map>
#include <random>
int main()
{
    std::random_device rd;
    std::mt19937 gen(rd());
 
    // if particles decay once per second on average,
    // how much time, in seconds, until the next one?
    std::exponential_distribution<> d(1);
 
    std::map<int, int> hist;
    for(int n=0; n<10000; ++n) {
        ++hist[2*d(gen)];
    }
    for(auto p : hist) {
        std::cout << std::fixed << std::setprecision(1) 
                  << p.first/2.0 << '-' << (p.first+1)/2.0 <<
                ' ' << std::string(p.second/200, '*') << '\n';
    }

Saída:

0.0-0.5 *******************
0.5-1.0 ***********
1.0-1.5 *******
1.5-2.0 ****
2.0-2.5 **
2.5-3.0 *
3.0-3.5 
3.5-4.0

[editar] Links externos

Weisstein, Eric W. "Exponential Distribution." De MathWorld - Um recurso Web Wolfram.
Original:
Weisstein, Eric W. "Exponential Distribution." From MathWorld--A Wolfram Web Resource.
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