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        <identifier>oai:drops-oai.dagstuhl.de:8244</identifier>
        <datestamp>2024-03-06T10:41:52Z</datestamp>
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          <dc:title>Structural Parameters, Tight Bounds, and Approximation for (k,r)-Center</dc:title>
          <dc:creator>Katsikarelis, Ioannis</dc:creator>
          <dc:creator>Lampis, Michael</dc:creator>
          <dc:creator>Paschos, Vangelis Th.</dc:creator>
          <dc:subject>FPT algorithms</dc:subject>
          <dc:subject>Approximation</dc:subject>
          <dc:subject>Treewidth</dc:subject>
          <dc:subject>Clique-width</dc:subject>
          <dc:subject>Domination</dc:subject>
          <dc:description>In (k,r)-Center we are given a (possibly edge-weighted) graph and are asked to select at most k vertices (centers), so that all other vertices are at distance at most r from a center. In this paper we provide a number of tight fine-grained bounds on the complexity of this problem with respect to various standard graph parameters. Specifically:&#13;
&#13;
- For any r&gt;=1, we show an algorithm that solves the problem in O*((3r+1)^cw) time, where cw is the clique-width of the input graph, as well as a tight SETH lower bound matching this algorithm's performance. As a corollary, for r=1, this closes the gap that previously existed on the complexity of Dominating Set parameterized by cw.&#13;
&#13;
- We strengthen previously known FPT lower bounds, by showing that (k,r)-Center is W[1]-hard parameterized by the input graph's vertex cover (if edge weights are allowed), or feedback vertex set, even if k is an additional parameter. Our reductions imply tight ETH-based lower bounds. Finally, we devise an algorithm parameterized by vertex cover for unweighted graphs.&#13;
&#13;
- We show that the complexity of the problem parameterized by tree-depth is 2^Theta(td^2) by showing an algorithm of this complexity and a tight ETH-based lower bound.&#13;
&#13;
We complement these mostly negative results by providing FPT approximation schemes parameterized by clique-width or treewidth which work efficiently independently of the values of k,r. In particular, we give algorithms which, for any epsilon&gt;0, run in time O*((tw/epsilon)^O(tw)), O*((cw/epsilon)^O(cw)) and return a (k,(1+epsilon)r)-center, if a (k,r)-center exists, thus circumventing the problem's W-hardness.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Ioannis Katsikarelis and Michael Lampis and Vangelis Th. Paschos</dc:contributor>
          <dc:date>2017</dc:date>
          <dc:relation>Is Part Of LIPIcs, Volume 92, 28th International Symposium on Algorithms and Computation (ISAAC 2017)</dc:relation>
          <dc:type>InProceedings</dc:type>
          <dc:type>Text</dc:type>
          <dc:type>doc-type:ResearchArticle</dc:type>
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          <dc:identifier>doi:10.4230/LIPIcs.ISAAC.2017.50</dc:identifier>
          <dc:identifier>urn:nbn:de:0030-drops-82441</dc:identifier>
          <dc:identifier>https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.ISAAC.2017.50</dc:identifier>
          <dc:language>eng</dc:language>
          <dc:rights>https://creativecommons.org/licenses/by/3.0/legalcode</dc:rights>
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