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        <identifier>oai:drops-oai.dagstuhl.de:15406</identifier>
        <datestamp>2024-03-06T10:55:40Z</datestamp>
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          <dc:title>A Polynomial Kernel for Bipartite Permutation Vertex Deletion</dc:title>
          <dc:creator>Kanesh, Lawqueen</dc:creator>
          <dc:creator>Madathil, Jayakrishnan</dc:creator>
          <dc:creator>Sahu, Abhishek</dc:creator>
          <dc:creator>Saurabh, Saket</dc:creator>
          <dc:creator>Verma, Shaily</dc:creator>
          <dc:subject>kernelization</dc:subject>
          <dc:subject>bipartite permutation graph</dc:subject>
          <dc:subject>bicliques</dc:subject>
          <dc:description>In a permutation graph, vertices represent the elements of a permutation, and edges represent pairs of elements that are reversed by the permutation. In the Permutation Vertex Deletion problem, given an undirected graph G and an integer k, the objective is to test whether there exists a vertex subset S ⊆ V(G) such that |S| ≤ k and G-S is a permutation graph. The parameterized complexity of Permutation Vertex Deletion is a well-known open problem. Bożyk et al. [IPEC 2020] initiated a study towards this problem by requiring that G-S be a bipartite permutation graph (a permutation graph that is bipartite). They called this the Bipartite Permutation Vertex Deletion (BPVD) problem. They showed that the problem admits a factor 9-approximation algorithm as well as a fixed parameter tractable (FPT) algorithm running in time 𝒪(9^k |V(G)|⁹). And they posed the question {whether BPVD admits a polynomial kernel.} &#13;
We resolve this question in the affirmative by designing a polynomial kernel for BPVD. In particular, we obtain the following: Given an instance (G,k) of BPVD, in polynomial time we obtain an equivalent instance (G',k') of BPVD such that k' ≤ k, and |V(G')|+|E(G')| ≤ k^{𝒪(1)}.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Lawqueen Kanesh and Jayakrishnan Madathil and Abhishek Sahu and Saket Saurabh and Shaily Verma</dc:contributor>
          <dc:date>2021</dc:date>
          <dc:relation>Is Part Of LIPIcs, Volume 214, 16th International Symposium on Parameterized and Exact Computation (IPEC 2021)</dc:relation>
          <dc:type>InProceedings</dc:type>
          <dc:type>Text</dc:type>
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          <dc:identifier>doi:10.4230/LIPIcs.IPEC.2021.23</dc:identifier>
          <dc:identifier>urn:nbn:de:0030-drops-154065</dc:identifier>
          <dc:identifier>https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.IPEC.2021.23</dc:identifier>
          <dc:language>eng</dc:language>
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