Flat Histogram Version of the Pruned and Enriched Rosenbluth Method

Overview

Journal Phys Rev Lett

Publisher American Physical Society

Specialty Biophysics

Date 2004 Apr 20

PMID 15089659

Citations 18

Authors

Thomas Prellberg

Jaroslaw Krawczyk

Affiliations

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Abstract

In this Letter we present a flat histogram algorithm based on the pruned and enriched Rosenbluth method. 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, the generic lattice model of polymer collapse.

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