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Non-Restarting SAT Solvers with Simple Preprocessing Can Efficiently Simulate Resolution., and . AAAI, page 2608-2615. AAAI Press, (2014)Designing Fast Absorbing Markov Chains., , , and . AAAI, page 849-855. AAAI Press, (2014)A General Nogood-Learning Framework for Pseudo-Boolean Multi-Valued SAT., , and . AAAI, AAAI Press, (2011)New filtering algorithms for combinations of among constraints., , , and . Constraints, 14 (2): 273-292 (2009)Parsing Algebraic Word Problems into Equations., , , , and . TACL, (2015)Incomplete Algorithms., , and . Handbook of Satisfiability, volume 185 of Frontiers in Artificial Intelligence and Applications, IOS Press, (2009)Exploiting Runtime Variation in Complete Solvers., and . Handbook of Satisfiability, volume 185 of Frontiers in Artificial Intelligence and Applications, IOS Press, (2009)Tradeoffs in the complexity of backdoors to satisfiability: dynamic sub-solvers and learning during search., , and . Ann. Math. Artif. Intell., 70 (4): 399-431 (2014)Bounded-depth Frege lower bounds for weaker pigeonhole principles, , , , and . Electronic Colloquium on Computational Complexity (ECCC), (2002)Towards Understanding and Harnessing the Potential of Clause Learning., , and . J. Artif. Intell. Res., (2004)