New Monte Carlo Iteration Method for Generalized Ensembles

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dc.creatorBorg, J.
dc.date2001-02-07
dc.date.accessioned2026-07-07T02:40:20Z
dc.date.available2026-07-07T02:40:20Z
dc.descriptionWe present a new and general Monte Carlo iteration method for generalized ensembles. It consists of two elements: (1) a simple algorithm to distinguish between distributions arising from respectively equilibrium- and non-equilibrium processes, and (2) a selfconsistent maximum-likelyhood estimation of the unknown thermodynamic quantities, based on the information obtained at all previous iterations. We demonstrate the efficiency of the method by calculating the density of state function of a homopolymer with 16^3 monomers. This represents an improvement of at least an order of magnitude compared to previous studies.
dc.description5 pages, 3 figures, submitted to Physical Review Letters
dc.identifierhttps://arxiv.org/abs/cond-mat/0102140
dc.identifierhttp://arxiv.org/abs/cond-mat/0102140
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/17343
dc.subjectCondensed Matter
dc.titleNew Monte Carlo Iteration Method for Generalized Ensembles
dc.typetext

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