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Convergence estimation of flat-histogram algorithms based on simulation results.
- Source :
-
Computer Physics Communications . Jul2018, Vol. 228, p38-43. 6p. - Publication Year :
- 2018
-
Abstract
- The present work considers the question of convergence of Wang–Landau, multi-canonical and stochastic approximation Monte Carlo algorithms, which was previously investigated on very different levels. In the case of the multi-canonical algorithms, a convergence behavior similar to either the original Wang–Landau or the stochastic approximation Monte Carlo algorithms is shown, depending on details of the algorithm. I suggest a method for error estimation based only on the results of simulations, not involving an information about the exact density of states, which is unknown for most practically interesting problems. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 00104655
- Volume :
- 228
- Database :
- Academic Search Index
- Journal :
- Computer Physics Communications
- Publication Type :
- Periodical
- Accession number :
- 129332936
- Full Text :
- https://doi.org/10.1016/j.cpc.2018.03.009