New Monte Carlo algorithm: Entropic sampling.

作者: Jooyoung Lee

DOI: 10.1103/PHYSREVLETT.71.211

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摘要: We present a new Monte Carlo sampling algorithm, with which one can obtain any desired distribution of the in simulation. The free energy and entropy system thus be obtained from simple exercise this algorithm. main idea is to sample directly at infinite temperature. Importance shown particular case algorithm tested against exact partition function [ital L]=4 cubic Ising model. A comparison multicanonical ensemble for L]=12, q]=10 Potts model shows that more general efficient.

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