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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...

Ausführliche Beschreibung

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Bibliographische Detailangaben
Hauptverfasser: Wong, Wing Hung, Liang, Faming
Format: Artigo
Sprache:Inglês
Veröffentlicht: The National Academy of Sciences of the USA 1997
Schlagworte:
Online Zugang:https://ncbi.nlm.nih.gov/pmc/articles/PMC24914/
https://ncbi.nlm.nih.gov/pubmed/9405593
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