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        <identifier>oai:drops-oai.dagstuhl.de:22249</identifier>
        <datestamp>2024-12-05T15:32:41Z</datestamp>
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          <dc:title>Parameterized Shortest Path Reconfiguration</dc:title>
          <dc:creator>Bousquet, Nicolas</dc:creator>
          <dc:creator>Gajjar, Kshitij</dc:creator>
          <dc:creator>Lahiri, Abhiruk</dc:creator>
          <dc:creator>Mouawad, Amer E.</dc:creator>
          <dc:subject>combinatorial reconfiguration</dc:subject>
          <dc:subject>shortest path reconfiguration</dc:subject>
          <dc:subject>parameterized complexity</dc:subject>
          <dc:subject>structural parameters</dc:subject>
          <dc:subject>treedepth</dc:subject>
          <dc:subject>cluster deletion number</dc:subject>
          <dc:subject>modular width</dc:subject>
          <dc:description>An st-shortest path, or st-path for short, in a graph G is a shortest (induced) path from s to t in G. Two st-paths are said to be adjacent if they differ on exactly one vertex. A reconfiguration sequence between two st-paths P and Q is a sequence of adjacent st-paths starting from P and ending at Q. Deciding whether there exists a reconfiguration sequence between two given st-paths is known to be PSPACE-complete, even on restricted classes of graphs such as graphs of bounded bandwidth (hence pathwidth). On the positive side, and rather surprisingly, the problem is polynomial-time solvable on planar graphs. In this paper, we study the parameterized complexity of the Shortest Path Reconfiguration (SPR) problem. We show that SPR is W[1]-hard parameterized by k + 𝓁, even when restricted to graphs of bounded (constant) degeneracy; here k denotes the number of edges on an st-path, and 𝓁 denotes the length of a reconfiguration sequence from P to Q. We complement our hardness result by establishing the fixed-parameter tractability of SPR parameterized by 𝓁 and restricted to nowhere-dense classes of graphs. Additionally, we establish fixed-parameter tractability of SPR when parameterized by the treedepth, by the cluster-deletion number, or by the modular-width of the input graph.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Nicolas Bousquet and Kshitij Gajjar and Abhiruk Lahiri and Amer E. Mouawad</dc:contributor>
          <dc:date>2024</dc:date>
          <dc:relation>Is Part Of LIPIcs, Volume 321, 19th International Symposium on Parameterized and Exact Computation (IPEC 2024)</dc:relation>
          <dc:type>InProceedings</dc:type>
          <dc:type>Text</dc:type>
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          <dc:identifier>doi:10.4230/LIPIcs.IPEC.2024.23</dc:identifier>
          <dc:identifier>urn:nbn:de:0030-drops-222491</dc:identifier>
          <dc:identifier>https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.IPEC.2024.23</dc:identifier>
          <dc:language>eng</dc:language>
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