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          <dc:title>Maximum Induced Matching Algorithms via Vertex Ordering Characterizations</dc:title>
          <dc:creator>Habib, Michel</dc:creator>
          <dc:creator>Mouatadid, Lalla</dc:creator>
          <dc:subject>Maximum induced matching</dc:subject>
          <dc:subject>Independent set</dc:subject>
          <dc:subject>Vertex ordering charac- terization</dc:subject>
          <dc:subject>Graph classes</dc:subject>
          <dc:subject>Fast algorithms</dc:subject>
          <dc:subject>Cocomparability graphs</dc:subject>
          <dc:description>We study the maximum induced matching problem on a graph G. &#13;
Induced matchings correspond to independent sets in L^2(G), the square of the line graph of G. &#13;
The problem is NP-complete on bipartite graphs. &#13;
In this work, we show that for a number of graph families with forbidden vertex orderings, almost all forbidden patterns on three vertices are preserved when taking the square of the line graph. &#13;
These orderings can be computed in linear time in the size of the input graph.&#13;
In particular, given a graph class \mathcal{G} characterized by a vertex ordering, and a graph G=(V,E) \in \mathcal{G} with a corresponding vertex ordering \sigma of V, one can produce (in linear time in the size of G) an ordering on the vertices of L^2(G), that shows that L^2(G) \in \mathcal{G} - for a number of graph classes \mathcal{G} - without computing the line graph or the square of the line graph of G. &#13;
These results generalize and unify previous ones on showing closure under L^2(\cdot) for various graph families. &#13;
Furthermore, these orderings on L^2(G) can be exploited algorithmically to compute a maximum induced matching on G faster. We illustrate this latter fact in the second half of the paper where we focus on cocomparability graphs, a large graph class that includes interval, permutation, trapezoid graphs, and co-graphs, and we present the first \mathcal{O}(mn) time algorithm to compute a maximum weighted induced matching on cocomparability graphs; an improvement from the best known \mathcal{O}(n^4) time algorithm for the unweighted case.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Michel Habib and Lalla Mouatadid</dc:contributor>
          <dc:date>2017</dc:date>
          <dc:relation>Is Part Of LIPIcs, Volume 92, 28th International Symposium on Algorithms and Computation (ISAAC 2017)</dc:relation>
          <dc:type>InProceedings</dc:type>
          <dc:type>Text</dc:type>
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          <dc:identifier>doi:10.4230/LIPIcs.ISAAC.2017.43</dc:identifier>
          <dc:identifier>urn:nbn:de:0030-drops-82178</dc:identifier>
          <dc:identifier>https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.ISAAC.2017.43</dc:identifier>
          <dc:language>eng</dc:language>
          <dc:rights>https://creativecommons.org/licenses/by/3.0/legalcode</dc:rights>
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