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        <identifier>oai:drops-oai.dagstuhl.de:20194</identifier>
        <datestamp>2024-07-02T07:52:50Z</datestamp>
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          <dc:title>Computing Tree Decompositions with Small Independence Number</dc:title>
          <dc:creator>Dallard, Clément</dc:creator>
          <dc:creator>Fomin, Fedor V.</dc:creator>
          <dc:creator>Golovach, Petr A.</dc:creator>
          <dc:creator>Korhonen, Tuukka</dc:creator>
          <dc:creator>Milanič, Martin</dc:creator>
          <dc:subject>tree-independence number</dc:subject>
          <dc:subject>approximation</dc:subject>
          <dc:subject>parameterized algorithms</dc:subject>
          <dc:description>The independence number of a tree decomposition is the maximum of the independence numbers of the subgraphs induced by its bags. The tree-independence number of a graph is the minimum independence number of a tree decomposition of it. Several NP-hard graph problems, like maximum weight independent set, can be solved in time n^𝒪(k) if the input n-vertex graph is given together with a tree decomposition of independence number k. Yolov in [SODA 2018] gave an algorithm that given an n-vertex graph G and an integer k, in time n^𝒪(k³) either constructs a tree decomposition of G whose independence number is 𝒪(k³) or correctly reports that the tree-independence number of G is larger than k. &#13;
In this paper, we first give an algorithm for computing the tree-independence number with a better approximation ratio and running time and then prove that our algorithm is, in some sense, the best one can hope for. More precisely, our algorithm runs in time 2^𝒪(k²) n^𝒪(k) and either outputs a tree decomposition of G with independence number at most 8k, or determines that the tree-independence number of G is larger than k. This implies 2^𝒪(k²) n^𝒪(k)-time algorithms for various problems, like maximum weight independent set, parameterized by the tree-independence number k without needing the decomposition as an input. Assuming Gap-ETH, an n^Ω(k) factor in the running time is unavoidable for any approximation algorithm for the tree-independence number.&#13;
Our second result is that the exact computation of the tree-independence number is para-NP-hard: We show that for every constant k ≥ 4 it is NP-hard to decide if a given graph has the tree-independence number at most k.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Clément Dallard and Fedor V. Fomin and Petr A. Golovach and Tuukka Korhonen and Martin Milanič</dc:contributor>
          <dc:date>2024</dc:date>
          <dc:relation>Is Part Of LIPIcs, Volume 297, 51st International Colloquium on Automata, Languages, and Programming (ICALP 2024)</dc:relation>
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          <dc:identifier>doi:10.4230/LIPIcs.ICALP.2024.51</dc:identifier>
          <dc:identifier>urn:nbn:de:0030-drops-201945</dc:identifier>
          <dc:identifier>https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.ICALP.2024.51</dc:identifier>
          <dc:language>eng</dc:language>
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