We study the dynamic critical behavior of the BFACF algorithm for generating self-avoiding walks with variable length and fixed endpoints. We argue theoretically, and confirm by Monte Carlo simulations in dimensions 2, 3, and 4, that the autocorrelation time scales as tau-int,N approximately zeta-4 approximately <N>4-nu.
DYNAMIC CRITICAL EXPONENT OF THE BFACF ALGORITHM FOR SELF-AVOIDING WALKS / Sergio, Caracciolo; Pelissetto, Andrea; Alan D., Sokal. - In: JOURNAL OF STATISTICAL PHYSICS. - ISSN 0022-4715. - STAMPA. - 63:5-6(1991), pp. 857-865. [10.1007/bf01029987]
DYNAMIC CRITICAL EXPONENT OF THE BFACF ALGORITHM FOR SELF-AVOIDING WALKS
PELISSETTO, Andrea;
1991
Abstract
We study the dynamic critical behavior of the BFACF algorithm for generating self-avoiding walks with variable length and fixed endpoints. We argue theoretically, and confirm by Monte Carlo simulations in dimensions 2, 3, and 4, that the autocorrelation time scales as tau-int,N approximately zeta-4 approximatelyFile allegati a questo prodotto
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