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Название: Cut-and-Permute Algorithm for Self-Avoiding Walks in the Presence of Surfaces
Автор: Causo M.S.
Аннотация:
Journal of Statistical Physics, Vol. 108, Nos. 1/2, July 2002. p. 247-281.
We present a dynamic nonlocal hybrid Monte Carlo algorithm consisting of pivot and ‘‘cut-and-permute’’ moves. The algorithm is suitable for the study of polymers in semiconfined geometries at the ordinary transition, where the pivot algorithm exhibits quasi-ergodic problems. The dynamic properties of the proposed algorithm are studied in d=3. The hybrid dynamics is ergodic and exhibits the same optimal critical behavior as the pivot algorithm in the bulk.