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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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Main Authors: | , |
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Formato: | Artigo |
Idioma: | Inglês |
Publicado em: |
The National Academy of Sciences of the USA
1997
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Assuntos: | |
Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC24914/ https://ncbi.nlm.nih.gov/pubmed/9405593 |
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