Abstract
Search-based techniques in propositional satisfiability (SAT) solving have been enormously successful, leading to what is becoming known as the “SAT Revolution”. Essentially all state-of-the-art SAT solvers are based on the Davis-Putnam-Logemann-Loveland (DPLL) technique, augmented with backjumping and conflict learning. Much of current research in this area involves refinements and extensions of the DPLL technique. Yet, due to the impressive success of DPLL, little effort has gone into investigating alternative techniques. This work focuses on symbolic techniques for SAT solving, with the aim of stimulating a broader research agenda in this area.
Work supported in part by NSF grants CCR-0311326, CCF-0613889, ANI-0216467, and CCF-0728882.
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Vardi, M.Y. (2009). Symbolic Techniques in Propositional Satisfiability Solving. In: Kullmann, O. (eds) Theory and Applications of Satisfiability Testing - SAT 2009. SAT 2009. Lecture Notes in Computer Science, vol 5584. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02777-2_2
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DOI: https://doi.org/10.1007/978-3-642-02777-2_2
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