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Dynamic weighting in Monte Carlo and optimization

Dynamic importance weighting is proposed as a Monte Carlo method that has the capability to sample relevant parts of the configuration space even in the presence of many steep energy minima. The method relies on an additional dynamic variable (the importance weight) to help the system overcome steep...

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Библиографические подробности
Главные авторы: Wong, Wing Hung, Liang, Faming
Формат: Artigo
Язык:Inglês
Опубликовано: The National Academy of Sciences of the USA 1997
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Online-ссылка:https://ncbi.nlm.nih.gov/pmc/articles/PMC24914/
https://ncbi.nlm.nih.gov/pubmed/9405593
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