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          <dc:title>Randomly Coloring Graphs of Logarithmically Bounded Pathwidth</dc:title>
          <dc:creator>Vardi, Shai</dc:creator>
          <dc:subject>Random coloring</dc:subject>
          <dc:subject>Glauber dynamics</dc:subject>
          <dc:subject>Markov-chain Monte Carlo</dc:subject>
          <dc:description>We consider the problem of sampling a proper k-coloring of a graph of maximal degree Delta uniformly at random. We describe a new Markov chain for sampling colorings, and show that it mixes rapidly on graphs of logarithmically bounded pathwidth if k &gt;=(1+epsilon)Delta, for any epsilon&gt;0, using a hybrid paths argument.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Shai Vardi</dc:contributor>
          <dc:date>2018</dc:date>
          <dc:relation>Is Part Of LIPIcs, Volume 116, Approximation, Randomization, and Combinatorial Optimization. Algorithms and Techniques (APPROX/RANDOM 2018)</dc:relation>
          <dc:type>InProceedings</dc:type>
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          <dc:identifier>doi:10.4230/LIPIcs.APPROX-RANDOM.2018.57</dc:identifier>
          <dc:identifier>urn:nbn:de:0030-drops-94618</dc:identifier>
          <dc:identifier>https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.APPROX-RANDOM.2018.57</dc:identifier>
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