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A better algorithm for random k-SAT

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Coja-Oghlan, Amin. (2010) A better algorithm for random k-SAT. SIAM Journal on Computing, Vol.39 (No.7). pp. 2823-2864. ISSN 0097-5397

Full text not available from this repository.
Official URL: http://dx.doi.org/10.1137/09076516X

Abstract

Let Phi be a uniformly distributed random k-SAT formula with n variables and m clauses. We present a polynomial time algorithm that finds a satisfying assignment of Phi with high probability for constraint densities m/n < (1 - epsilon(k))2(k) ln(k)/k, where epsilon(k) -> 0. Previously no efficient algorithm was known to find satisfying assignments with a nonvanishing probability beyond m/n = 1.817 . 2(k)/k [A. Frieze and S. Suen, J. Algorithms, 20 (1996), pp. 312-355].

Item Type: Journal Article
Subjects: Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software
Q Science > QA Mathematics
Divisions: Faculty of Science > Computer Science
Faculty of Science > Mathematics
Journal or Publication Title: SIAM Journal on Computing
Publisher: Society for Industrial and Applied Mathematics
ISSN: 0097-5397
Date: 2010
Volume: Vol.39
Number: No.7
Number of Pages: 42
Page Range: pp. 2823-2864
Identification Number: 10.1137/09076516X
Status: Peer Reviewed
Publication Status: Published
Access rights to Published version: Restricted or Subscription Access
Funder: Engineering and Physical Sciences Research Council (EPSRC)
Grant number: EP/G039070/1 (EPSRC)
URI: http://wrap.warwick.ac.uk/id/eprint/5351

Data sourced from Thomson Reuters' Web of Knowledge

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