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Artificial Intelligence
Some interesting research directions in satisfiability
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A complete adaptive algorithm for propositional satisfiability
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A sharp threshold for the renameable-Horn and the q-Horn properties
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Typical case complexity of satisfiability algorithms and the threshold phenomenon
Discrete Applied Mathematics - Special issue: Typical case complexity and phase transitions
A sharp threshold for the renameable-Horn and the q-Horn properties
Discrete Applied Mathematics
Typical case complexity of Satisfiability Algorithms and the threshold phenomenon
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Finding models for blocked 3-SAT problems in linear time by systematical refinement of a sub-model
KI'06 Proceedings of the 29th annual German conference on Artificial intelligence
On the boolean connectivity problem for horn relations
SAT'07 Proceedings of the 10th international conference on Theory and applications of satisfiability testing
On the Boolean connectivity problem for Horn relations
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Observed lower bounds for random 3-SAT phase transition density using linear programming
SAT'05 Proceedings of the 8th international conference on Theory and Applications of Satisfiability Testing
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This paper associates a linear programming problem (LP) to any conjunctive normal form $\gf$, and shows that the optimum value $Z(\gf)$ of this LP measures the complexity of the corresponding SAT (Boolean satisfiability) problem. More precisely, there is an algorithm for SAT that runs in polynomial time on the class of satisfiability problems satisfying $Z(\gf)\leq 1+\frac{c\log n}{n}$ for a fixed constant $c$, where $n$ is the number of variables. In contrast, for any fixed $\betaSAT is still NP complete when restricted to the class of CNFs for which $Z(\gf)\leq 1+(1/n^{\beta})$.