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        <identifier>oai:drops-oai.dagstuhl.de:9975</identifier>
        <datestamp>2024-03-06T10:45:14Z</datestamp>
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          <dc:title>New and Improved Algorithms for Unordered Tree Inclusion</dc:title>
          <dc:creator>Akutsu, Tatsuya</dc:creator>
          <dc:creator>Jansson, Jesper</dc:creator>
          <dc:creator>Li, Ruiming</dc:creator>
          <dc:creator>Takasu, Atsuhiro</dc:creator>
          <dc:creator>Tamura, Takeyuki</dc:creator>
          <dc:subject>parameterized algorithms</dc:subject>
          <dc:subject>tree inclusion</dc:subject>
          <dc:subject>unordered trees</dc:subject>
          <dc:subject>dynamic programming</dc:subject>
          <dc:description>The tree inclusion problem is, given two node-labeled trees P and T (the "pattern tree" and the "text tree"), to locate every minimal subtree in T (if any) that can be obtained by applying a sequence of node insertion operations to P. Although the ordered tree inclusion problem is solvable in polynomial time, the unordered tree inclusion problem is NP-hard. The currently fastest algorithm for the latter is from 1995 and runs in O(poly(m,n) * 2^{2d}) = O^*(2^{2d}) time, where m and n are the sizes of the pattern and text trees, respectively, and d is the maximum outdegree of the pattern tree. Here, we develop a new algorithm that improves the exponent 2d to d by considering a particular type of ancestor-descendant relationships and applying dynamic programming, thus reducing the time complexity to O^*(2^d). We then study restricted variants of the unordered tree inclusion problem where the number of occurrences of different node labels and/or the input trees' heights are bounded. We show that although the problem remains NP-hard in many such cases, it can be solved in polynomial time for c = 2 and in O^*(1.8^d) time for c = 3 if the leaves of P are distinctly labeled and each label occurs at most c times in T. We also present a randomized O^*(1.883^d)-time algorithm for the case that the heights of P and T are one and two, respectively.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Tatsuya Akutsu and Jesper Jansson and Ruiming Li and Atsuhiro Takasu and Takeyuki Tamura</dc:contributor>
          <dc:date>2018</dc:date>
          <dc:relation>Is Part Of LIPIcs, Volume 123, 29th International Symposium on Algorithms and Computation (ISAAC 2018)</dc:relation>
          <dc:type>InProceedings</dc:type>
          <dc:type>Text</dc:type>
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          <dc:identifier>doi:10.4230/LIPIcs.ISAAC.2018.27</dc:identifier>
          <dc:identifier>urn:nbn:de:0030-drops-99752</dc:identifier>
          <dc:identifier>https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.ISAAC.2018.27</dc:identifier>
          <dc:language>eng</dc:language>
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