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          <dc:title>Length-Bounded Cuts: Proper Interval Graphs and Structural Parameters</dc:title>
          <dc:creator>Bentert, Matthias</dc:creator>
          <dc:creator>Heeger, Klaus</dc:creator>
          <dc:creator>Knop, Dušan</dc:creator>
          <dc:subject>Edge-disjoint paths</dc:subject>
          <dc:subject>pathwidth</dc:subject>
          <dc:subject>feedback vertex number</dc:subject>
          <dc:description>In the presented paper, we study the Length-Bounded Cut problem for special graph classes as well as from a parameterized-complexity viewpoint. Here, we are given a graph G, two vertices s and t, and positive integers β and λ. The task is to find a set F of edges of size at most β such that every s-t-path of length at most λ in G contains some edge in F.&#13;
Bazgan et al. [Networks, 2019] conjectured that Length-Bounded Cut admits a polynomial-time algorithm if the input graph G is a proper interval graph. We confirm this conjecture by providing a dynamic-programming based polynomial-time algorithm. Moreover, we strengthen the W[1]-hardness result of Dvořák and Knop [Algorithmica, 2018] for Length-Bounded Cut parameterized by pathwidth. Our reduction is shorter, and the target of the reduction has stronger structural properties. Consequently, we give W[1]-hardness for the combined parameter pathwidth and maximum degree of the input graph. Finally, we prove that Length-Bounded Cut is W[1]-hard for the feedback vertex number. Both our hardness results complement known XP algorithms.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Matthias Bentert and Klaus Heeger and Dušan Knop</dc:contributor>
          <dc:date>2020</dc:date>
          <dc:relation>Is Part Of LIPIcs, Volume 181, 31st International Symposium on Algorithms and Computation (ISAAC 2020)</dc:relation>
          <dc:type>InProceedings</dc:type>
          <dc:type>Text</dc:type>
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          <dc:identifier>doi:10.4230/LIPIcs.ISAAC.2020.36</dc:identifier>
          <dc:identifier>urn:nbn:de:0030-drops-133800</dc:identifier>
          <dc:identifier>https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.ISAAC.2020.36</dc:identifier>
          <dc:language>eng</dc:language>
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