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        <identifier>oai:drops-oai.dagstuhl.de:6939</identifier>
        <datestamp>2024-03-06T10:38:47Z</datestamp>
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          <dc:title>H-Free Graphs, Independent Sets, and Subexponential-Time Algorithms</dc:title>
          <dc:creator>Bacsó, Gábor</dc:creator>
          <dc:creator>Marx, Dániel</dc:creator>
          <dc:creator>Tuza, Zsolt</dc:creator>
          <dc:subject>independent set</dc:subject>
          <dc:subject>scattered set</dc:subject>
          <dc:subject>subexponential algorithms</dc:subject>
          <dc:subject>H-free graphs</dc:subject>
          <dc:description>It is an outstanding open question in algorithmic graph theory to determine the complexity of the MAXIMUM INDEPENDENT SET problem on P_t-free graphs, that is, on graphs not containing any induced path on t vertices. So far, polynomial-time algorithms are known only for t at most 5 [Lokshtanov et al., SODA 2014, 570-581, 2014]. Here we study the existence of subexponential-time algorithms for the problem: by generalizing an earlier result of Randerath and Schiermeyer for t=5 [Discrete App. Math., 158 (2010), 1041-1044], we show that for any t at least 5, there is an algorithm for MAXIMUM INDEPENDENT SET on P_t-free graphs whose running time is subexponential in the number of vertices.&#13;
&#13;
SCATTERED SET is the generalization of MAXIMUM INDEPENDENT SET where the vertices of the solution are required to be at distance at least $d$ from each other. We give a complete characterization of those graphs H for which SCATTERED SET on H-free graphs can be solved in time subexponential in the size of the input (that is, in the number of vertices plus the number of edges):&#13;
&#13;
* If every component of H is a path, then d-SCATTERED SET on H-free graphs with n vertices and m edges can be solved in time 2^{(n+m)^{1-O(1/|V(H)|)}}, even if d is part of the input. &#13;
&#13;
* Otherwise, assuming ETH, there is no 2^{o(n+m)} time algorithm for d-SCATTERED SET for any fixed d at least 3 on H-free graphs with n vertices and m edges.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Gábor Bacsó and Dániel Marx and Zsolt Tuza</dc:contributor>
          <dc:date>2017</dc:date>
          <dc:relation>Is Part Of LIPIcs, Volume 63, 11th International Symposium on Parameterized and Exact Computation (IPEC 2016)</dc:relation>
          <dc:type>InProceedings</dc:type>
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          <dc:identifier>doi:10.4230/LIPIcs.IPEC.2016.3</dc:identifier>
          <dc:identifier>urn:nbn:de:0030-drops-69397</dc:identifier>
          <dc:identifier>https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.IPEC.2016.3</dc:identifier>
          <dc:language>eng</dc:language>
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