Application of new Monte Carlo algorithms to random spin systems
作者： Yutaka Okabe , Yusuke Tomita , Chiaki Yamaguchi
DOI: 10.1016/S0010-4655(02)00435-6
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摘要: Abstract We explain the idea of probability-changing cluster (PCC) algorithm, which is an extended version Swendsen–Wang algorithm. With this we can tune critical point automatically. show effectiveness PCC algorithm for case three-dimensional (3D) Ising model. also apply new to study 3D diluted Since each random sample automatically with investigate sample-dependent temperature and average physical quantities at temperature, systematically. have applied another newly proposed Wang–Landau spin glass problem.
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