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        <identifier>oai:drops-oai.dagstuhl.de:24471</identifier>
        <datestamp>2025-12-16T13:59:32Z</datestamp>
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          <dc:title>Generalized Graph Packing Problems Parameterized by Treewidth</dc:title>
          <dc:creator>Can Esmer, Barış</dc:creator>
          <dc:creator>Marx, Dániel</dc:creator>
          <dc:subject>Graph Packing</dc:subject>
          <dc:subject>Graph Partitioning</dc:subject>
          <dc:subject>Parameterized Complexity</dc:subject>
          <dc:subject>Treewidth</dc:subject>
          <dc:subject>Pathwidth</dc:subject>
          <dc:subject>pw-SETH</dc:subject>
          <dc:subject>Single-Exponential Lower Bound</dc:subject>
          <dc:subject>Slightly Superexponential Lower Bound</dc:subject>
          <dc:description>H-Packing is the problem of finding a maximum number of vertex-disjoint copies of H in a given graph G. H-Partition is the special case of finding a set of vertex-disjoint copies that cover each vertex of G exactly once. Our goal is to study these problems and some generalizations on bounded-treewidth graphs. The case of H being a triangle is well understood: given a tree decomposition of G having treewidth tw, the K₃-Packing problem can be solved in time 2^tw⋅ n^O(1), while Lokshtanov et al. [ACM Transactions on Algorithms 2018] showed, under the Strong Exponential-Time Hypothesis (SETH), that there is no (2-ε)^tw⋅ n^O(1) algorithm for any ε &gt; 0 even for K₃-Partition. Similar results can be obtained for any other clique K_d for d ≥ 3. We provide generalizations in two directions:  &#13;
- We consider a generalization of the problem where every vertex can be used at most c times for some c ≥ 1. When H is any clique K_d with d ≥ 3, then we give upper and lower bounds showing that the optimal running time increases to (c+1)^tw⋅ n^O(1). We consider two variants depending on whether a copy of H can be used multiple times in the packing. &#13;
- If H is not a clique, then the dependence of the running time on treewidth may not be even single exponential. Specifically, we show that if H is any fixed graph where not every 2-connected component is a clique, then there is no 2^o(tw log tw)⋅ n^O(1) algorithm for H-Partition, assuming the Exponential-Time Hypothesis (ETH).</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Barış Can Esmer and Dániel Marx</dc:contributor>
          <dc:date>2025</dc:date>
          <dc:relation>Is Part Of LIPIcs, Volume 351, 33rd Annual European Symposium on Algorithms (ESA 2025)</dc:relation>
          <dc:type>InProceedings</dc:type>
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          <dc:identifier>doi:10.4230/LIPIcs.ESA.2025.3</dc:identifier>
          <dc:identifier>urn:nbn:de:0030-drops-244713</dc:identifier>
          <dc:identifier>https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.ESA.2025.3</dc:identifier>
          <dc:language>eng</dc:language>
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