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        <identifier>oai:drops-oai.dagstuhl.de:19429</identifier>
        <datestamp>2024-03-06T11:04:02Z</datestamp>
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          <dc:title>Kernels for the Disjoint Paths Problem on Subclasses of Chordal Graphs</dc:title>
          <dc:creator>Chaudhary, Juhi</dc:creator>
          <dc:creator>Gahlawat, Harmender</dc:creator>
          <dc:creator>Włodarczyk, Michal</dc:creator>
          <dc:creator>Zehavi, Meirav</dc:creator>
          <dc:subject>Kernelization</dc:subject>
          <dc:subject>Parameterized Complexity</dc:subject>
          <dc:subject>Vertex-Disjoint Paths Problem</dc:subject>
          <dc:subject>Edge-Disjoint Paths Problem</dc:subject>
          <dc:description>Given an undirected graph G and a multiset of k terminal pairs 𝒳, the Vertex-Disjoint Paths (VDP) and Edge-Disjoint Paths (EDP) problems ask whether G has k pairwise internally vertex-disjoint paths and k pairwise edge-disjoint paths, respectively, connecting every terminal pair in 𝒳. In this paper, we study the kernelization complexity of VDP and EDP on subclasses of chordal graphs. For VDP, we design a 4k vertex kernel on split graphs and an 𝒪(k²) vertex kernel on well-partitioned chordal graphs. We also show that the problem becomes polynomial-time solvable on threshold graphs. For EDP, we first prove that the problem is NP-complete on complete graphs. Then, we design an 𝒪(k^{2.75}) vertex kernel for EDP on split graphs, and improve it to a 7k+1 vertex kernel on threshold graphs. Lastly, we provide an 𝒪(k²) vertex kernel for EDP on block graphs and a 2k+1 vertex kernel for clique paths. Our contributions improve upon several results in the literature, as well as resolve an open question by Heggernes et al. [Theory Comput. Syst., 2015].</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Juhi Chaudhary and Harmender Gahlawat and Michal Włodarczyk and Meirav Zehavi</dc:contributor>
          <dc:date>2023</dc:date>
          <dc:relation>Is Part Of LIPIcs, Volume 285, 18th International Symposium on Parameterized and Exact Computation (IPEC 2023)</dc:relation>
          <dc:type>InProceedings</dc:type>
          <dc:type>Text</dc:type>
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          <dc:identifier>doi:10.4230/LIPIcs.IPEC.2023.10</dc:identifier>
          <dc:identifier>urn:nbn:de:0030-drops-194296</dc:identifier>
          <dc:identifier>https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.IPEC.2023.10</dc:identifier>
          <dc:language>eng</dc:language>
          <dc:rights>https://creativecommons.org/licenses/by/4.0/legalcode</dc:rights>
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