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        <identifier>oai:drops-oai.dagstuhl.de:14724</identifier>
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          <dc:title>A New Notion of Commutativity for the Algorithmic Lovász Local Lemma</dc:title>
          <dc:creator>Harris, David G.</dc:creator>
          <dc:creator>Iliopoulos, Fotis</dc:creator>
          <dc:creator>Kolmogorov, Vladimir</dc:creator>
          <dc:subject>Lovász Local Lemma</dc:subject>
          <dc:subject>Resampling</dc:subject>
          <dc:subject>Moser-Tardos algorithm</dc:subject>
          <dc:subject>latin transversal</dc:subject>
          <dc:subject>commutativity</dc:subject>
          <dc:description>The Lovász Local Lemma (LLL) is a powerful tool in probabilistic combinatorics which can be used to establish the existence of objects that satisfy certain properties. The breakthrough paper of Moser &amp; Tardos and follow-up works revealed that the LLL has intimate connections with a class of stochastic local search algorithms for finding such desirable objects. In particular, it can be seen as a sufficient condition for this type of algorithms to converge fast. &#13;
Besides conditions for convergence, many other natural questions can be asked about algorithms; for instance, "are they parallelizable?", "how many solutions can they output?", "what is the expected "weight" of a solution?". These questions and more have been answered for a class of LLL-inspired algorithms called commutative. In this paper we introduce a new, very natural and more general notion of commutativity (essentially matrix commutativity) which allows us to show a number of new refined properties of LLL-inspired local search algorithms with significantly simpler proofs.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>David G. Harris and Fotis Iliopoulos and Vladimir Kolmogorov</dc:contributor>
          <dc:date>2021</dc:date>
          <dc:relation>Is Part Of LIPIcs, Volume 207, Approximation, Randomization, and Combinatorial Optimization. Algorithms and Techniques (APPROX/RANDOM 2021)</dc:relation>
          <dc:type>InProceedings</dc:type>
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          <dc:identifier>doi:10.4230/LIPIcs.APPROX/RANDOM.2021.31</dc:identifier>
          <dc:identifier>urn:nbn:de:0030-drops-147244</dc:identifier>
          <dc:identifier>https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.APPROX/RANDOM.2021.31</dc:identifier>
          <dc:language>eng</dc:language>
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