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Название: Monte Carlo Generation of Self-Avoiding Walks with Fixed Endpoints and Fixed Length
Авторы: Madras N., Orlitsky A., Shepp L. A.
Аннотация:
We propose a new class of dynamic Monte Carlo algorithms for generating self- avoiding walks uniformly from
the ensemble with fixed endpoints and fixed length in any dimension, and prove that these algorithms are
ergodic in all cases.