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        <identifier>oai:drops-oai.dagstuhl.de:16876</identifier>
        <datestamp>2024-03-06T10:58:33Z</datestamp>
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          <dc:title>An Exact Algorithm for Knot-Free Vertex Deletion</dc:title>
          <dc:creator>Ramanujan, M. S.</dc:creator>
          <dc:creator>Sahu, Abhishek</dc:creator>
          <dc:creator>Saurabh, Saket</dc:creator>
          <dc:creator>Verma, Shaily</dc:creator>
          <dc:subject>exact algorithm</dc:subject>
          <dc:subject>knot-free graphs</dc:subject>
          <dc:subject>branching algorithm</dc:subject>
          <dc:description>The study of the Knot-Free Vertex Deletion problem emerges from its application in the resolution of deadlocks called knots, detected in a classical distributed computation model, that is, the OR-model. A strongly connected subgraph Q of a digraph D with at least two vertices is said to be a knot if there is no arc (u,v) of D with u ∈ V(Q) and v ∉ V(Q) (no-out neighbors of the vertices in Q). Given a directed graph D, the Knot-Free Vertex Deletion (KFVD) problem asks to compute a minimum-size subset S ⊂ V(D) such that D[V⧵S] contains no knots. There is no exact algorithm known for the KFVD problem in the literature that is faster than the trivial O^⋆(2ⁿ) brute-force algorithm. In this paper, we obtain the first non-trivial upper bound for KFVD by designing an exact algorithm running in time 𝒪^⋆(1.576ⁿ), where n is the size of the vertex set in D.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>M. S. Ramanujan and Abhishek Sahu and Saket Saurabh and Shaily Verma</dc:contributor>
          <dc:date>2022</dc:date>
          <dc:relation>Is Part Of LIPIcs, Volume 241, 47th International Symposium on Mathematical Foundations of Computer Science (MFCS 2022)</dc:relation>
          <dc:type>InProceedings</dc:type>
          <dc:type>Text</dc:type>
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          <dc:identifier>doi:10.4230/LIPIcs.MFCS.2022.78</dc:identifier>
          <dc:identifier>urn:nbn:de:0030-drops-168769</dc:identifier>
          <dc:identifier>https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.MFCS.2022.78</dc:identifier>
          <dc:language>eng</dc:language>
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