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        <identifier>oai:drops-oai.dagstuhl.de:23408</identifier>
        <datestamp>2025-10-02T12:54:20Z</datestamp>
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          <dc:title>Stable Hypergraph Matching in Unimodular Hypergraphs</dc:title>
          <dc:creator>Biró, Péter</dc:creator>
          <dc:creator>Csáji, Gergely</dc:creator>
          <dc:creator>Schlotter, Ildikó</dc:creator>
          <dc:subject>stable hypergraph matching</dc:subject>
          <dc:subject>Scarf’s Lemma</dc:subject>
          <dc:subject>unimodular hypergraphs</dc:subject>
          <dc:subject>university dual admission</dc:subject>
          <dc:description>We study the NP-hard Stable Hypergraph Matching (SHM) problem and its generalization allowing capacities, the Stable Hypergraph b-Matching (SHbM) problem, and investigate their computational properties under various structural constraints. Our study is motivated by the fact that Scarf’s Lemma [Scarf, 1967] together with a result of Lovász [Lovász, 1972] guarantees the existence of a stable matching whenever the underlying hypergraph is normal. Furthermore, if the hypergraph is unimodular (i.e., its incidence matrix is totally unimodular), then even a stable b-matching is guaranteed to exist. However, no polynomial-time algorithm is known for finding a stable matching or b-matching in unimodular hypergraphs.&#13;
We identify subclasses of unimodular hypergraphs where SHM and SHbM are tractable such as laminar hypergraphs or so-called subpath hypergraphs with bounded-size hyperedges; for the latter case, even a maximum-weight stable b-matching can be found efficiently. We complement our algorithms by showing that optimizing over stable matchings is NP-hard even in laminar hypergraphs. As a practically important special case of SHbM for unimodular hypergraphs, we investigate a tripartite stable matching problem with students, schools, and companies as agents, called the University Dual Admission problem, which models real-world scenarios in higher education admissions. &#13;
Finally, we examine a superclass of subpath hypergraphs that are normal but not necessarily unimodular, namely subtree hypergraphs where hyperedges correspond to subtrees of a tree. We establish that for such hypergraphs, stable matchings can be found in polynomial time but, in the setting with capacities, finding a stable b-matching is NP-hard.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Péter Biró and Gergely Csáji and Ildikó Schlotter</dc:contributor>
          <dc:date>2025</dc:date>
          <dc:relation>Is Part Of LIPIcs, Volume 334, 52nd International Colloquium on Automata, Languages, and Programming (ICALP 2025)</dc:relation>
          <dc:type>InProceedings</dc:type>
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          <dc:identifier>doi:10.4230/LIPIcs.ICALP.2025.31</dc:identifier>
          <dc:identifier>urn:nbn:de:0030-drops-234086</dc:identifier>
          <dc:identifier>https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.ICALP.2025.31</dc:identifier>
          <dc:language>eng</dc:language>
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