A better algorithm for random κ-SAT
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), ISSN: 0302-9743, Vol: 5555 LNCS, Issue: PART 1, Page: 292-303
2009
- 5Citations
- 28Captures
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Conference Paper Description
Let Φ 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 Φ with high probability for constraint densities , where ε →0. Previously no efficient algorithm was known to find solutions with non-vanishing probability beyond m/n=1.817•2 /k [Frieze and Suen, Journal of Algorithms 1996]. © 2009 Springer Berlin Heidelberg.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=70449392867&origin=inward; http://dx.doi.org/10.1007/978-3-642-02927-1_25; http://link.springer.com/10.1007/978-3-642-02927-1_25; http://link.springer.com/content/pdf/10.1007/978-3-642-02927-1_25; http://www.springerlink.com/index/10.1007/978-3-642-02927-1_25; http://www.springerlink.com/index/pdf/10.1007/978-3-642-02927-1_25; https://dx.doi.org/10.1007/978-3-642-02927-1_25; https://link.springer.com/chapter/10.1007/978-3-642-02927-1_25
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