Algorithmic aspects of multicanonical simulations

Preprint

5 August 1997

preprint
Published by arXiv in arXiv

https://doi.org/10.48550/arXiv.hep-lat/9708003

Abstract

Monte Carlo (MC) simulations of many systems, in particular those with conflicting constraints, can be considerably speeded up by using multicanonical or related methods. Some of these approaches sample with a-priori unknown weight factors. After introducing the concept, I shall focus on two aspects: (i) Opinions about the optimal choice of weight factors. (ii) Methods to get weight factor estimates, with emphasize on a multicanonical recursion.

Keywords

SIMULATIONS OF MANY SYSTEMS
MULTICANONICAL SIMULATIONS
SIMULATIONS MONTE CARLO
ALGORITHMIC ASPECTS
SIMULATIONS MONTE
WEIGHT FACTORS

All Related Versions

Version 1, 1997-08-05, ArXiv
Published version: Nuclear Physics B - Proceedings Supplements, 63 (1-3), 982.

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