Information theory and the optimization of Monte Carlo simulations
We develop a convenient, quantitative measure of the sampling efficiency of equilibrium Monte Carlo algorithms. This measure, based on information theoretic methods, is optimized by independent random sampling. We illustrate present developments with selected numerical examples. (C) 1997 Elsevier Science B.V.
- Publisher
- ELSEVIER SCIENCE BV
- Issue Date
- 1997-09
- Language
- English
- Article Type
- Article
- Keywords
ATOMIC CLUSTERS; PATH-INTEGRALS; J-WALKING; SYSTEMS
- Citation
CHEMICAL PHYSICS LETTERS, v.276, no.5-6, pp.353 - 360
- ISSN
- 0009-2614
- Appears in Collection
- BiS-Journal Papers(저널논문)
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