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<item>
  <id>06015786</id>
  <dt>j</dt>
  <an>06015786</an>
  <augroup>
    <au>Boufkhad, Yacine</au>
    <au>Hugel, Thomas</au>
  </augroup>
  <ti>Estimating satisfiability.</ti>
  <so>Discrete Appl. Math. 160, No. 1-2, 61-80 (2012).</so>
  <py>2012</py>
  <pu>Elsevier Science B.V. (North-Holland), Amsterdam</pu>
  <lagroup>
    <la>EN</la>
  </lagroup>
  <ccgroup>
  </ccgroup>
  <utgroup>
    <ut>constraint satisfaction problem</ut>
    <ut>satisfiability</ut>
    <ut>first moment method</ut>
  </utgroup>
  <cigroup>
  </cigroup>
  <ligroup>
    <li>doi:10.1016/j.dam.2011.10.005</li>
  </ligroup>
  <abgroup>
    <ab>Summary: The problem of estimating the proportion of satisfiable instances of a given CSP (constraint satisfaction problem) can be tackled through weighting. It consists in putting onto each solution a non-negative real value based on its neighborhood in a way that the total weight is at least 1 for each satisfiable instance. We define in this paper a general weighting scheme for the estimation of satisfiability of general CSPs. First, we give some sufficient conditions for a weighting system to be correct. Then, we show that this scheme allows for an improvement on the upper bound on the existence of non-trivial cores in 3-SAT obtained by {\it E. Maneva} and {\it A. Sinclair} [Theor. Comput. Sci. 407, No. 1--3, 359--369 (2008; Zbl 1152.68052)] to 4.419. Another more common way of estimating satisfiability is ordering. This consists in putting a total order on the domain, which induces an orientation between neighboring solutions in a way that prevents circuits from appearing, and then counting only minimal elements. We compare ordering and weighting under various conditions.</ab>
    <rv></rv>
  </abgroup>
</item>