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Dal'nevostochnyi Matematicheskii Zhurnal, 2020, Volume 20, Number 2, Pages 212–220
DOI: https://doi.org/10.47910/FEMJ202020 (Mi dvmg433) 		 
This article is cited in 1 scientific paper (total in 1 paper)

Multispin Monte Carlo Method

K. V. Makarovaab, A. G. Makarovab, M. A. Padalkoab, V. S. Stronginab, K. V. Nefedevab

a Far Eastern Federal University, Vladivostok
b Institute for Applied Mathematics, Far Eastern Branch, Russian Academy of Sciences, Vladivostok
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DOI: https://doi.org/10.47910/FEMJ202020
Abstract: The article offers a Monte Carlo cluster method for numerically calculating a statistical sample of the state space of vector models. The statistical equivalence of subsystems in the Ising model and quasi-Markov random walks can be used to increase the efficiency of the algorithm for calculating thermodynamic means. The cluster multispin approach extends the computational capabilities of the Metropolis algorithm and allows one to find configurations of the ground and low-energy states.
Key words: hybrid algorithm, multispin method, ground state, spin systems.
Funding agency Grant number
Ministry of Science and Higher Education of the Russian Federation 075-00400-19-01
Received: 28.08.2019
Document Type: Article
UDC: 004.021
MSC: Primary 68Q87; Secondary 68W20
Language: Russian
Citation: K. V. Makarova, A. G. Makarov, M. A. Padalko, V. S. Strongin, K. V. Nefedev, “Multispin Monte Carlo Method”, Dal'nevost. Mat. Zh., 20:2 (2020), 212–220
Citation in format AMSBIB
\Bibitem{MakMakPad20}
\by K.~V.~Makarova, A.~G.~Makarov, M.~A.~Padalko, V.~S.~Strongin, K.~V.~Nefedev
\paper Multispin Monte Carlo Method
\jour Dal'nevost. Mat. Zh.
\yr 2020
\vol 20
\issue 2
\pages 212--220
\mathnet{http://mi.mathnet.ru/dvmg433}
\crossref{https://doi.org/10.47910/FEMJ202020}
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    • This publication is cited in the following 1 articles:
    Citing articles in Google Scholar: Russian citations, English citations
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