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          <dc:title>Beyond Boolean Surjective VCSPs</dc:title>
          <dc:creator>Matl, Gregor</dc:creator>
          <dc:creator>Živný, Stanislav</dc:creator>
          <dc:subject>constraint satisfaction problems</dc:subject>
          <dc:subject>valued constraint satisfaction</dc:subject>
          <dc:subject>surjective constraint satisfaction</dc:subject>
          <dc:subject>graph cuts</dc:subject>
          <dc:description>Fulla, Uppman, and Živný [ACM ToCT'18] established a dichotomy theorem for Boolean surjective general-valued constraint satisfaction problems (VCSPs), i.e., VCSPs on two-element domains in which both labels have to be used in a solution. This result, in addition to identifying the complexity frontier, features the discovery of a new non-trivial tractable case (called EDS) that does not appear in the non-surjective setting.&#13;
In this work, we go beyond Boolean domains. As our main result, we introduce a generalisation of EDS to arbitrary finite domains called SEDS (similar to EDS) and establish a conditional complexity classification of SEDS VCSPs based on a reduction to smaller domains. This gives a complete classification of SEDS VCSPs on three-element domains. The basis of our tractability result is a natural generalisation of the Min-Cut problem, in which only solutions of certain size (given by a lower and upper bound) are permitted. We show that all near-optimal solutions to this problem can be enumerated in polynomial time, which might be of independent interest.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Gregor Matl and Stanislav Živný</dc:contributor>
          <dc:date>2019</dc:date>
          <dc:relation>Is Part Of LIPIcs, Volume 126, 36th International Symposium on Theoretical Aspects of Computer Science (STACS 2019)</dc:relation>
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          <dc:identifier>doi:10.4230/LIPIcs.STACS.2019.52</dc:identifier>
          <dc:identifier>urn:nbn:de:0030-drops-102911</dc:identifier>
          <dc:identifier>https://drops.dagstuhl.de/entities/document/10.4230/LIPIcs.STACS.2019.52</dc:identifier>
          <dc:language>eng</dc:language>
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