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          <dc:title>Parameterized (Approximate) Defective Coloring</dc:title>
          <dc:creator>Belmonte, Rémy</dc:creator>
          <dc:creator>Lampis, Michael</dc:creator>
          <dc:creator>Mitsou, Valia</dc:creator>
          <dc:subject>Treewidth</dc:subject>
          <dc:subject>Parameterized Complexity</dc:subject>
          <dc:subject>Approximation</dc:subject>
          <dc:subject>Coloring</dc:subject>
          <dc:description>In Defective Coloring we are given a graph G=(V,E) and two integers chi_d,Delta^* and are asked if we can partition V into chi_d color classes, so that each class induces a graph of maximum degree Delta^*. We investigate the complexity of this generalization of Coloring with respect to several well-studied graph parameters, and show that the problem is W-hard parameterized by treewidth, pathwidth, tree-depth, or feedback vertex set, if chi_d=2. As expected, this hardness can be extended to larger values of chi_d for most of these parameters, with one surprising exception: we show that the problem is FPT parameterized by feedback vertex set for any chi_d != 2, and hence 2-coloring is the only hard case for this parameter. In addition to the above, we give an ETH-based lower bound for treewidth and pathwidth, showing that no algorithm can solve the&#13;
problem in n^{o(pw)}, essentially matching the complexity of an algorithm obtained with standard techniques. &#13;
&#13;
We complement these results by considering the problem's approximability and show that, with respect to Delta^*, the problem admits an algorithm which for any epsilon&gt;0 runs in time (tw/epsilon)^{O(tw)} and returns a solution with exactly the desired number of colors that approximates the optimal Delta^* within (1+epsilon). We also give a (tw)^{O(tw)} algorithm which achieves the desired Delta^* exactly while 2-approximating the minimum value of chi_d. We show that this is close to optimal, by establishing that no FPT algorithm can (under standard assumptions) achieve a better than 3/2-approximation to chi_d, even when an extra constant additive error is also allowed.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Rémy Belmonte and Michael Lampis and Valia Mitsou</dc:contributor>
          <dc:date>2018</dc:date>
          <dc:relation>Is Part Of LIPIcs, Volume 96, 35th Symposium on Theoretical Aspects of Computer Science (STACS 2018)</dc:relation>
          <dc:type>InProceedings</dc:type>
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          <dc:identifier>doi:10.4230/LIPIcs.STACS.2018.10</dc:identifier>
          <dc:identifier>urn:nbn:de:0030-drops-85304</dc:identifier>
          <dc:identifier>https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.STACS.2018.10</dc:identifier>
          <dc:language>eng</dc:language>
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