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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...

詳細記述

保存先:
書誌詳細
主要な著者: Wong, Wing Hung, Liang, Faming
フォーマット: Artigo
言語:Inglês
出版事項: The National Academy of Sciences of the USA 1997
主題:
オンライン・アクセス:https://ncbi.nlm.nih.gov/pmc/articles/PMC24914/
https://ncbi.nlm.nih.gov/pubmed/9405593
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