Titelangaben
Schlotter, Ildiko ; Cseh, Ágnes:
Maximum-utility Popular Matchings with Bounded Instability.
In: ACM Transactions on Computation Theory.
Bd. 17
(8 März 2025)
Heft 1
.
ISSN 1942-3462
DOI: https://doi.org/10.1145/3711843
Abstract
In a graph where vertices have preferences over their neighbors, a matching is called popular if it does not lose a head-to-head election against any other matching when the vertices vote between the matchings. Popular matchings can be seen as an intermediate category between stable matchings and maximum-size matchings. In this article, we aim to maximize the utility of a matching that is popular but admits only a few blocking edges.We observe that, for general graphs, finding a popular matching with at most one blocking edge is already NP-complete. For bipartite instances, we study the problem of finding a maximum-utility popular matching with a bound on the number (or, more generally, the cost) of blocking edges applying a multivariate approach. We show classical and parameterized hardness results for severely restricted instances. By contrast, we design an algorithm for instances where preferences on one side admit a master list and show that this algorithm is roughly optimal.
Weitere Angaben
Publikationsform: | Artikel in einer Zeitschrift |
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Begutachteter Beitrag: | Ja |
Keywords: | Popular matching; stable matching; complexity; master lists |
Institutionen der Universität: | Fakultäten > Fakultät für Mathematik, Physik und Informatik > Mathematisches Institut > Lehrstuhl Wirtschaftsmathematik > Lehrstuhl Wirtschaftsmathematik - Univ.-Prof. Dr. Jörg Rambau Fakultäten > Fakultät für Mathematik, Physik und Informatik > Mathematisches Institut > Lehrstuhl Dynamical Systems and Data > Lehrstuhl Dynamical Systems and Data - Univ.-Prof. Dr. Peter Koltai |
Titel an der UBT entstanden: | Ja |
Themengebiete aus DDC: | 000 Informatik,Informationswissenschaft, allgemeine Werke > 004 Informatik 500 Naturwissenschaften und Mathematik > 510 Mathematik |
Eingestellt am: | 12 Mär 2025 11:47 |
Letzte Änderung: | 12 Mär 2025 11:47 |
URI: | https://eref.uni-bayreuth.de/id/eprint/92780 |