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        <identifier>oai:drops-oai.dagstuhl.de:15659</identifier>
        <datestamp>2024-03-06T10:55:52Z</datestamp>
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          <dc:title>A Unifying Framework for Characterizing and Computing Width Measures</dc:title>
          <dc:creator>Eiben, Eduard</dc:creator>
          <dc:creator>Ganian, Robert</dc:creator>
          <dc:creator>Hamm, Thekla</dc:creator>
          <dc:creator>Jaffke, Lars</dc:creator>
          <dc:creator>Kwon, O-joung</dc:creator>
          <dc:subject>branchwidth</dc:subject>
          <dc:subject>parameterized algorithms</dc:subject>
          <dc:subject>mim-width</dc:subject>
          <dc:subject>treewidth</dc:subject>
          <dc:subject>clique-width</dc:subject>
          <dc:description>Algorithms for computing or approximating optimal decompositions for decompositional parameters such as treewidth or clique-width have so far traditionally been tailored to specific width parameters. Moreover, for mim-width, no efficient algorithms for computing good decompositions were known, even under highly restrictive parameterizations. In this work we identify ℱ-branchwidth as a class of generic decompositional parameters that can capture mim-width, treewidth, clique-width as well as other measures. We show that while there is an infinite number of ℱ-branchwidth parameters, only a handful of these are asymptotically distinct. We then develop fixed-parameter and kernelization algorithms (under several structural parameterizations) that can approximate every possible ℱ-branchwidth, providing a unifying parameterized framework that can efficiently obtain near-optimal tree-decompositions, k-expressions, as well as optimal mim-width decompositions.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Eduard Eiben and Robert Ganian and Thekla Hamm and Lars Jaffke and O-joung Kwon</dc:contributor>
          <dc:date>2022</dc:date>
          <dc:relation>Is Part Of LIPIcs, Volume 215, 13th Innovations in Theoretical Computer Science Conference (ITCS 2022)</dc:relation>
          <dc:type>InProceedings</dc:type>
          <dc:type>Text</dc:type>
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          <dc:identifier>doi:10.4230/LIPIcs.ITCS.2022.63</dc:identifier>
          <dc:identifier>urn:nbn:de:0030-drops-156592</dc:identifier>
          <dc:identifier>https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.ITCS.2022.63</dc:identifier>
          <dc:language>eng</dc:language>
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