Simulation of Spin Models in Multicanonical Ensemble with Collective Updates

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dc.creatorReynal, Sylvain
dc.creatorDiep, Hung-The
dc.date2004-09-21
dc.date.accessioned2026-07-07T03:00:55Z
dc.date.available2026-07-07T03:00:55Z
dc.descriptionWe propose a Monte Carlo method which performs a random walk in energy space using cluster-like collective updates. By imposing that bond probabilities depend continuously on the microcanonical temperature, we obtain dynamic exponents close to their ideal random walk values. The method proves remarkably powerful when applied to models governed by long-range interactions, where it straightforwardly combines with the efficient Luijten-Bloete cluster algorithm to yield a dramatic reduction in the computation load.
dc.description4 pages, 3 figures
dc.identifierhttps://arxiv.org/abs/cond-mat/0409529
dc.identifierhttp://arxiv.org/abs/cond-mat/0409529
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/24907
dc.subjectStatistical Mechanics
dc.titleSimulation of Spin Models in Multicanonical Ensemble with Collective Updates
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