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Название: Nonloeal Monte Carlo Algorithm for Self-Avoiding Walks with Fixed Endpoints
Автор: Caracciolo S.
Аннотация:
We study a new Monte Carlo algorithm for generating self-avoiding walks with variable length (controlled by a fugacity fl) and fixed endpoints. The algorithm is a hybrid of local (BFACF) and nonlocal (cut-and-paste) moves.