Abstract
We present a new method for optimizing the analysis of data from multiple Monte Carlo computer simulations over wide ranges of parameter values. Explicit error estimates allow objective planning of the lengths of runs and the parameter values to be simulated. The method is applicable to simulations in lattice gauge theories, chemistry, and biology, as well as statistical mechanics.
Keywords
Monte Carlo methodStatistical physicsMonte Carlo method in statistical physicsMonte Carlo molecular modelingHybrid Monte CarloComputer scienceDynamic Monte Carlo methodAlgorithmMarkov chain Monte CarloPhysicsStatisticsMathematics
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Publication Info
- Year
- 1989
- Type
- article
- Volume
- 63
- Issue
- 12
- Pages
- 1195-1198
- Citations
- 2548
- Access
- Closed
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Cite This
Alan M. Ferrenberg,
Robert H. Swendsen
(1989).
Optimized Monte Carlo data analysis.
Physical Review Letters
, 63
(12)
, 1195-1198.
https://doi.org/10.1103/physrevlett.63.1195
Identifiers
- DOI
- 10.1103/physrevlett.63.1195