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Heuristics for Efficient SAT Solving

Heuristics for Efficient SAT Solving. As implemented in GRASP , Chaff and GSAT . Why SAT?. Fundamental problem from theoretical point of view Cook theorem, 1971: the first NP-complete problem. Numerous applications: Solving any NP problem...

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876 views • 63 slides

Leveraging Belief Propagation, Backtrack Search, and Statistics for Model Counting

Leveraging Belief Propagation, Backtrack Search, and Statistics for Model Counting. Lukas Kroc, Ashish Sabharwal , Bart Selman Cornell University May 23, 2008 CPAIOR-08 Conference, Paris. Talk Outline. Model counting / solution counting Problem, motivation, background

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371 views • 35 slides

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