Energy landscapes of some matching-problem ensembles

The maximum-weight matching problem and the behavior of its energy landscape is numerically investigated. We apply a perturbation method adapted from the analysis of spin glasses. This method provides insight into the complexity of the energy landscape of different ensembles. Erdős–Rényi graphs and...

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Main Authors: Till Kahlke, Alexander K Hartmann
Format: Article
Language:English
Published: IOP Publishing 2023-01-01
Series:Journal of Physics: Complexity
Subjects:
Online Access:https://doi.org/10.1088/2632-072X/ad0d88
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author Till Kahlke
Alexander K Hartmann
author_facet Till Kahlke
Alexander K Hartmann
author_sort Till Kahlke
collection DOAJ
description The maximum-weight matching problem and the behavior of its energy landscape is numerically investigated. We apply a perturbation method adapted from the analysis of spin glasses. This method provides insight into the complexity of the energy landscape of different ensembles. Erdős–Rényi graphs and ring graphs with randomly added edges are considered, and two types of distributions for the random edge weights are used. Fast and scalable algorithms exist for maximum weight matching, allowing us to study large graphs with more than 10 ^5 nodes. Our results show that the structure of the energy landscape for standard ensembles of matching is simple, comparable to the energy landscape of a ferromagnet. Nonetheless, for some of the ensembles presented here, our results allow for the presence of complex energy landscapes in the spirit of a replica-symmetry breaking scenario.
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spelling doaj.art-6eabf6f15500432aa5b0ec96c06a800a2023-11-30T08:56:17ZengIOP PublishingJournal of Physics: Complexity2632-072X2023-01-014404500910.1088/2632-072X/ad0d88Energy landscapes of some matching-problem ensemblesTill Kahlke0Alexander K Hartmann1https://orcid.org/0000-0001-6865-5474Institut für Physik, Carl von Ossietzky Universität Oldenburg , 26111 Oldenburg, GermanyInstitut für Physik, Carl von Ossietzky Universität Oldenburg , 26111 Oldenburg, GermanyThe maximum-weight matching problem and the behavior of its energy landscape is numerically investigated. We apply a perturbation method adapted from the analysis of spin glasses. This method provides insight into the complexity of the energy landscape of different ensembles. Erdős–Rényi graphs and ring graphs with randomly added edges are considered, and two types of distributions for the random edge weights are used. Fast and scalable algorithms exist for maximum weight matching, allowing us to study large graphs with more than 10 ^5 nodes. Our results show that the structure of the energy landscape for standard ensembles of matching is simple, comparable to the energy landscape of a ferromagnet. Nonetheless, for some of the ensembles presented here, our results allow for the presence of complex energy landscapes in the spirit of a replica-symmetry breaking scenario.https://doi.org/10.1088/2632-072X/ad0d88matchingcomplexityperturbation techniquesrandom graphsground statesreplica-symmetry breaking
spellingShingle Till Kahlke
Alexander K Hartmann
Energy landscapes of some matching-problem ensembles
Journal of Physics: Complexity
matching
complexity
perturbation techniques
random graphs
ground states
replica-symmetry breaking
title Energy landscapes of some matching-problem ensembles
title_full Energy landscapes of some matching-problem ensembles
title_fullStr Energy landscapes of some matching-problem ensembles
title_full_unstemmed Energy landscapes of some matching-problem ensembles
title_short Energy landscapes of some matching-problem ensembles
title_sort energy landscapes of some matching problem ensembles
topic matching
complexity
perturbation techniques
random graphs
ground states
replica-symmetry breaking
url https://doi.org/10.1088/2632-072X/ad0d88
work_keys_str_mv AT tillkahlke energylandscapesofsomematchingproblemensembles
AT alexanderkhartmann energylandscapesofsomematchingproblemensembles