Flat histogram PERM

dc.creatorPrellberg, Thomas
dc.creatorKrawczyk, Jaroslaw
dc.date2003-12-10
dc.date2004-01-12
dc.date.accessioned2026-07-07T02:55:19Z
dc.date.available2026-07-07T02:55:19Z
dc.descriptionIn this letter we present a flat histogram algorithm based on the pruned and enriched Rosenbluth method (PERM). This algorithm incorporates in a straightforward manner microcanonical reweighting techniques, leading to "flat histogram" sampling in the chosen parameter space. As an additional benefit, our algorithm is completely parameter free and, hence, easy to implement. We apply this algorithm to interacting self-avoiding walks (ISAW), the generic lattice model of polymer collapse.
dc.identifierhttps://arxiv.org/abs/cond-mat/0312253
dc.identifierhttp://arxiv.org/abs/cond-mat/0312253
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/22900
dc.subjectStatistical Mechanics
dc.titleFlat histogram PERM
dc.typetext

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