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arXiv · 1209.2186

Rare event sampling with stochastic growth algorithms

T. Prellberg
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Abstract

We discuss uniform sampling algorithms that are based on stochastic growth methods, using sampling of extreme configurations of polymers in simple lattice models as a motivation. We shall show how a series of clever enhancements to a fifty-odd year old algorithm, the Rosenbluth method, led to a cutting-edge algorithm capable of uniform sampling of equilibrium statistical mechanical systems of polymers in situations where competing algorithms failed to perform well. Examples range from collapsed homo-polymers near sticky surfaces to models of protein folding.

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T. Prellberg. 2012-09-11. Rare event sampling with stochastic growth algorithms. https://doi.org/10.1051/epjconf%2F20134401001

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