• Medientyp: E-Artikel
  • Titel: Approximating Multistage Matching Problems
  • Beteiligte: Chimani, Markus; Troost, Niklas; Wiedera, Tilo
  • Erschienen: Springer Science and Business Media LLC, 2022
  • Erschienen in: Algorithmica, 84 (2022) 8, Seite 2135-2153
  • Sprache: Englisch
  • DOI: 10.1007/s00453-022-00951-x
  • ISSN: 0178-4617; 1432-0541
  • Schlagwörter: Applied Mathematics ; Computer Science Applications ; General Computer Science
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  • Beschreibung: <jats:title>Abstract</jats:title><jats:p>In <jats:italic>multistage perfect matching</jats:italic> problems, we are given a sequence of graphs on the same vertex set and are asked to find a sequence of perfect matchings, corresponding to the sequence of graphs, such that consecutive matchings are as similar as possible. More precisely, we aim to maximize the intersections, or minimize the unions between consecutive matchings. We show that these problems are NP-hard even in very restricted scenarios. As our main contribution, we present the first non-trivial approximation algorithms for these problems: On the one hand, we devise a tight approximation on graph sequences of length two (2-stage graphs). On the other hand, we propose several general methods to deduce multistage approximations from blackbox approximations on 2-stage graphs. </jats:p>