https://doi.org/10.1051/epjconf/20134401001
Rare event sampling with stochastic growth algorithms
School of Mathematical Sciences, Queen Mary University of London Mile End Road, London E1 4NS, United Kingdom
a e-mail: t.prellberg@qmul.ac.uk
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.
© Owned by the authors, published by EDP Sciences, 2013
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