Multispin Monte Carlo Method
Dalʹnevostočnyj matematičeskij žurnal, Tome 20 (2020) no. 2, pp. 212-220
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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.
@article{DVMG_2020_20_2_a7,
author = {K. V. Makarova and A. G. Makarov and M. A. Padalko and V. S. Strongin and K. V. Nefedev},
title = {Multispin {Monte} {Carlo} {Method}},
journal = {Dalʹnevosto\v{c}nyj matemati\v{c}eskij \v{z}urnal},
pages = {212--220},
publisher = {mathdoc},
volume = {20},
number = {2},
year = {2020},
language = {ru},
url = {http://geodesic.mathdoc.fr/item/DVMG_2020_20_2_a7/}
}
TY - JOUR AU - K. V. Makarova AU - A. G. Makarov AU - M. A. Padalko AU - V. S. Strongin AU - K. V. Nefedev TI - Multispin Monte Carlo Method JO - Dalʹnevostočnyj matematičeskij žurnal PY - 2020 SP - 212 EP - 220 VL - 20 IS - 2 PB - mathdoc UR - http://geodesic.mathdoc.fr/item/DVMG_2020_20_2_a7/ LA - ru ID - DVMG_2020_20_2_a7 ER -
%0 Journal Article %A K. V. Makarova %A A. G. Makarov %A M. A. Padalko %A V. S. Strongin %A K. V. Nefedev %T Multispin Monte Carlo Method %J Dalʹnevostočnyj matematičeskij žurnal %D 2020 %P 212-220 %V 20 %N 2 %I mathdoc %U http://geodesic.mathdoc.fr/item/DVMG_2020_20_2_a7/ %G ru %F DVMG_2020_20_2_a7
K. V. Makarova; A. G. Makarov; M. A. Padalko; V. S. Strongin; K. V. Nefedev. Multispin Monte Carlo Method. Dalʹnevostočnyj matematičeskij žurnal, Tome 20 (2020) no. 2, pp. 212-220. http://geodesic.mathdoc.fr/item/DVMG_2020_20_2_a7/