Nonreversible Markov Chain Monte Carlo Algorithm for Efficient Generation of Self-Avoiding Walks

We introduce an efficient nonreversible Markov chain Monte Carlo algorithm to generate self-avoiding walks with a variable endpoint. In two dimensions, the new algorithm slightly outperforms the two-move nonreversible Berretti-Sokal algorithm introduced by H. Hu, X. Chen, and Y. Deng, while for thre...

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Autors principals:	Hanqing Zhao, Marija Vucelja
Format:	Artigo
Idioma:	Inglês
Publicat:	Frontiers Media S.A. 2022-01-01
Col·lecció:	Frontiers in Physics
Matèries:	nonreversible Markov chain Monte Carlo Markov chain Monte Carlo self-avoiding walk efficient sampling
Accés en línia:	https://www.frontiersin.org/articles/10.3389/fphy.2021.782156/full
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