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A Deterministic  (Make Corrections)  
Algorithm for k-SAT Based on Local Search Evgeny Dantsin Andreas Goerdt...



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Abstract: Local search is widely used for solving the propositional satis ability problem. Papadimitriou [16] showed that randomized local search solves 2-SAT in polynomial time. Recently, Schoning [20] proved that a close algorithm for k-SAT takes time (2 k ) up to a polynomial factor. This is the best known worst-case upper bound for randomized 3-SAT algorithms (cf. also [21]). (Update)

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@misc{ sat-deterministic,
  author = "Algorithm For Sat",
  title = "A Deterministic",
  url = "citeseer.ist.psu.edu/763327.html" }
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318   Approximation Algorithms for NP-hard Problems (context) - Hochbaum - 1997
63   Information Theory (context) - Ash - 1965
35   New worst-case upper bounds for SAT - Hirsch - 2000
35   New methods for 3-SAT decision and worst-case analysis - Kullmann - 1999
28   Deciding propositional tautologies: Algorithms and their com.. - Kullmann, Luckhardt - 1997
27   Minimizing con icts: a heuristic repair method for constrain.. (context) - Minton, Johnston et al. - 1992
15   SAT decision and lower bounds: approaches for improved SAT a.. (context) - Kullmann - 1996
12   SAT local search algorithms: Worst-case study - Hirsch - 2000
8   volume 54 of Mathematical Library (context) - Cohen, Honkala et al. - 1997
8   the greedy algorithm for satis ability (context) - Koutsoupias, Papadimitriou - 1992
7   Two propositional proof systems based on the splitting metho.. (context) - Dantsin - 1981
6   Average time complexity of the sat1:2 algorithm (context) - Gu, Gu - 1994
4   Search Methods for Arti cial Intelligence (context) - Bolc, Cytowski - 1992
3   Cambridge Tracts in Theoretical Computer Science (context) - Gu, Purdom et al. - 2000
1   Solving satis ability in less then (context) - Monien, Speckenmeyer

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