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Speed-up of Monte Carlo simulations by sampling of rejected states
The Markov chain Monte Carlo method is an important tool to estimate the average properties of systems with a very large number of accessible states. This technique is used extensively in fields ranging from physics to genetics and economics. The rejection of trial configurations is a central ingred...
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| 出版年: | Proc Natl Acad Sci U S A |
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| 第一著者: | |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
National Academy of Sciences
2004
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.govhttps://pmc.ncbi.nlm.nih.gov/articles/PMC539769/ https://ncbi.nlm.nih.govhttps://pubmed.ncbi.nlm.nih.gov/15591337/ https://ncbi.nlm.nih.govhttps://doi.org/10.1073/pnas.0407950101 |
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