Monte Carlo algorithm
Randomized algorithm with some probability of producing the wrong result
In computing, a Monte Carlo algorithm is a randomized algorithm whose output may be incorrect with a certain (typically small) probability. Two examples of such algorithms are the Karger–Stein algorithm and the Monte Carlo algorithm for minimum feedback arc set.
Nº Q15238499 ★★
Incomum · História
Monte Carlo algorithm
Randomized algorithm with some probability of producing the wrong result
In computing, a Monte Carlo algorithm is a randomized algorithm whose output may be incorrect with a certain (typically small) probability. Two examples of such algorithms are the Karger–Stein algorithm and the Monte Carlo algorithm for minimum feedback arc set.
Último preço
—
Preço mínimo
—
Mediana 7 d
—
Vendas 30 d
0
Faixa 30 d
—
Em circulação
0
Cotação
mediana
mín – máx
vendas
Sem vendas no período
Ver tabela
| Data | mediana | Mín | Máx | vendas |
|---|
Histórico de vendas
- Última venda
- —
- Média 30 d
- —
- Mínima 30 d
- —
- Máxima 30 d
- —
- Vendas 7 d
- 0
- Vendas 30 d
- 0
Ainda sem vendas.
Vendas anônimas: sem comprador nem vendedor. Os números contam só vendas entre jogadores.
Na Wikipédia
Texto em inglês Ainda não há artigo no seu idioma: trecho em inglês.
In computing, a Monte Carlo algorithm is a randomized algorithm whose output may be incorrect with a certain (typically small) probability. Two examples of such algorithms are the Karger–Stein algorithm and the Monte Carlo algorithm for minimum feedback arc set. The name refers to the Monte Carlo casino in the Principality of Monaco, which is well-known around the world as an icon of gambling. The term "Monte Carlo" was first introduced in 1947 by Nicholas Metropolis. Las Vegas algorithms are a dual of Monte Carlo algorithms and never return an incorrect answer. However, they may make random choices as part of their work. As a result, the time taken might vary between runs, even with the same input. If there is a procedure for verifying whether the answer given by a Monte Carlo algorithm is correct, and the probability of a correct answer is bounded above zero, then with probability one, running the algorithm repeatedly while testing the answers will eventually give a correct answer. Whether this process is a Las Vegas algorithm depends on whether halting with probability one is considered to satisfy the definition.
Texto: Wikipédia em inglês, CC BY-SA 4.0. ·
Cartas próximas
Método de Monte Carlo
Método estatístico que utiliza amostragens aleatórias massivas para obter resultados numéricos em problemas complexos, aplicando aleatoriedade a questões determinísticas
Nº Q232207 ★★★★
Algoritmo de Metropolis–Hastings
Nº Q910810 ★★
Complexidade computacional
Nº Q5157286 ★★★
Método do gradiente
Método numérico usado em otimização
Nº Q1199743 ★★★
Minimax
Nº Q751319 ★★★
algorítmica
Estudo de algoritmos e estruturas de dados
Nº Q13636890 ★★★