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        <identifier>oai:drops-oai.dagstuhl.de:10213</identifier>
        <datestamp>2024-03-06T10:44:16Z</datestamp>
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          <dc:title>Dual Parameterization of Weighted Coloring</dc:title>
          <dc:creator>Araújo, Júlio</dc:creator>
          <dc:creator>Campos, Victor A.</dc:creator>
          <dc:creator>Lima, Carlos Vinícius G. C.</dc:creator>
          <dc:creator>Fernandes dos Santos, Vinícius</dc:creator>
          <dc:creator>Sau, Ignasi</dc:creator>
          <dc:creator>Silva, Ana</dc:creator>
          <dc:subject>weighted coloring</dc:subject>
          <dc:subject>max coloring</dc:subject>
          <dc:subject>parameterized complexity</dc:subject>
          <dc:subject>dual parameterization</dc:subject>
          <dc:subject>FPT algorithms</dc:subject>
          <dc:subject>polynomial kernels</dc:subject>
          <dc:subject>split graphs</dc:subject>
          <dc:subject>interval graphs</dc:subject>
          <dc:description>Given a graph G, a proper k-coloring of G is a partition c = (S_i)_{i in [1,k]} of V(G) into k stable sets S_1,..., S_k. Given a weight function w: V(G) -&gt; R^+, the weight of a color S_i is defined as w(i) = max_{v in S_i} w(v) and the weight of a coloring c as w(c) = sum_{i=1}^{k} w(i). Guan and Zhu [Inf. Process. Lett., 1997] defined the weighted chromatic number of a pair (G,w), denoted by sigma(G,w), as the minimum weight of a proper coloring of G. The problem of determining sigma(G,w) has received considerable attention during the last years, and has been proved to be notoriously hard: for instance, it is NP-hard on split graphs, unsolvable on n-vertex trees in time n^{o(log n)} unless the ETH fails, and W[1]-hard on forests parameterized by the size of a largest tree.
We focus on the so-called dual parameterization of the problem: given a vertex-weighted graph (G,w) and an integer k, is sigma(G,w) &lt;= sum_{v in V(G)} w(v) - k? This parameterization has been recently considered by Escoffier [WG, 2016], who provided an FPT algorithm running in time 2^{O(k log k)} * n^{O(1)}, and asked which kernel size can be achieved for the problem.
We provide an FPT algorithm running in time 9^k * n^{O(1)}, and prove that no algorithm in time 2^{o(k)} * n^{O(1)} exists under the ETH. On the other hand, we present a kernel with at most (2^{k-1}+1) (k-1) vertices, and rule out the existence of polynomial kernels unless NP subseteq coNP/poly, even on split graphs with only two different weights. Finally, we identify some classes of graphs on which the problem admits a polynomial kernel, in particular interval graphs and subclasses of split graphs, and in the latter case we present lower bounds on the degrees of the polynomials.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Júlio Araújo and Victor A. Campos and Carlos Vinícius G. C. Lima and Vinícius Fernandes dos Santos and Ignasi Sau and Ana Silva</dc:contributor>
          <dc:date>2019</dc:date>
          <dc:relation>Is Part Of LIPIcs, Volume 115, 13th International Symposium on Parameterized and Exact Computation (IPEC 2018)</dc:relation>
          <dc:type>InProceedings</dc:type>
          <dc:type>Text</dc:type>
          <dc:type>doc-type:ResearchArticle</dc:type>
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          <dc:identifier>doi:10.4230/LIPIcs.IPEC.2018.12</dc:identifier>
          <dc:identifier>urn:nbn:de:0030-drops-102134</dc:identifier>
          <dc:identifier>https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.IPEC.2018.12</dc:identifier>
          <dc:language>eng</dc:language>
          <dc:rights>https://creativecommons.org/licenses/by/3.0/legalcode</dc:rights>
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