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The Boolean Satisfiability Problem (SAT) - Ptolemy Project

Fundamental Algorithms for System Modeling, Analysis, and OptimizationEdward A. Lee, Jaijeet Roychowdhury, Sanjit A. SeshiaUC BerkeleyEECS 144/244 Fall 2011 Copyright 2010-11, E. A. Lee, J. Roychowdhury, S. A. Seshia, All rights reservedBoolean Satisfiability (SAT) Solving2 The Boolean Satisfiability Problem (SAT) Given: A Boolean formula F(x1, x2, x3, .., xn) Can F evaluate to 1 (true)? Is F satisfiable? If yes, return values to xi s (satisfying assignment) that make F true 3 Why is SAT important? Theoretical importance: First NP-complete Problem (Cook, 1971) Many practical applications: Model Checking Automatic Test Pattern Generation Combinational Equivalence Checking Planning in AI Automated Theorem Proving Software Verification ..4An Example Inputs to SAT solvers are usually represented in CNF(a + b + c) (a + b + c) (a + b + c ) (a + b + c )5An Example Inputs to SAT solvers are usually represented in CNF(a+ b+ c) (a + b + c) (a+ b + c ) (a + b+ c )6 Why CNF?

– Let problem comprise (1-p) fraction of binary clauses and p of ternary – So-called (2+p)-SAT problem. 17 Experimentation with random (2+p)-SAT ... overhead, quick to conflict/solution • Principle: Keep #(memory accesses)/step low – A step a primitive operation for SAT solving, such as a branch . 41 DLL Algorithm Pseudo-code

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