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        <identifier>oai:drops-oai.dagstuhl.de:17363</identifier>
        <datestamp>2024-03-06T10:59:33Z</datestamp>
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          <dc:title>On the Parameterized Complexity of Computing Tree-Partitions</dc:title>
          <dc:creator>Bodlaender, Hans L.</dc:creator>
          <dc:creator>Groenland, Carla</dc:creator>
          <dc:creator>Jacob, Hugo</dc:creator>
          <dc:subject>Parameterized algorithms</dc:subject>
          <dc:subject>Tree partitions</dc:subject>
          <dc:subject>tree-partition-width</dc:subject>
          <dc:subject>Treewidth</dc:subject>
          <dc:subject>Domino Treewidth</dc:subject>
          <dc:subject>Approximation Algorithms</dc:subject>
          <dc:subject>Parameterized Complexity</dc:subject>
          <dc:description>We study the parameterized complexity of computing the tree-partition-width, a graph parameter equivalent to treewidth on graphs of bounded maximum degree. &#13;
On one hand, we can obtain approximations of the tree-partition-width efficiently: we show that there is an algorithm that, given an n-vertex graph G and an integer k, constructs a tree-partition of width O(k⁷) for G or reports that G has tree-partition width more than k, in time k^O(1) n². We can improve slightly on the approximation factor by sacrificing the dependence on k, or on n.&#13;
On the other hand, we show the problem of computing tree-partition-width exactly is XALP-complete, which implies that it is W[t]-hard for all t. We deduce XALP-completeness of the problem of computing the domino treewidth. Finally, we adapt some known results on the parameter tree-partition-width and the topological minor relation, and use them to compare tree-partition-width to tree-cut width.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Hans L. Bodlaender and Carla Groenland and Hugo Jacob</dc:contributor>
          <dc:date>2022</dc:date>
          <dc:relation>Is Part Of LIPIcs, Volume 249, 17th International Symposium on Parameterized and Exact Computation (IPEC 2022)</dc:relation>
          <dc:type>InProceedings</dc:type>
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          <dc:identifier>doi:10.4230/LIPIcs.IPEC.2022.7</dc:identifier>
          <dc:identifier>urn:nbn:de:0030-drops-173633</dc:identifier>
          <dc:identifier>https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.IPEC.2022.7</dc:identifier>
          <dc:language>eng</dc:language>
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