Symbolic Model Checking without BDDs
TACAS '99 Proceedings of the 5th International Conference on Tools and Algorithms for Construction and Analysis of Systems
Recovering and Exploiting Structural Knowledge from CNF Formulas
CP '02 Proceedings of the 8th International Conference on Principles and Practice of Constraint Programming
Equivalent literal propagation in the DLL procedure
Discrete Applied Mathematics - The renesse issue on satisfiability
Annals of Mathematics and Artificial Intelligence
Present and Future of Practical SAT Solving
Complexity of Constraints
Building a Hybrid SAT Solver via Conflict-Driven, Look-Ahead and XOR Reasoning Techniques
SAT '09 Proceedings of the 12th International Conference on Theory and Applications of Satisfiability Testing
Efficiently exploiting dependencies in local search for SAT
AAAI'08 Proceedings of the 23rd national conference on Artificial intelligence - Volume 3
Journal of Artificial Intelligence Research
Beyond unit propagation in SAT solving
SEA'11 Proceedings of the 10th international conference on Experimental algorithms
Classifying and propagating parity constraints
CP'12 Proceedings of the 18th international conference on Principles and Practice of Constraint Programming
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Structural logical formulas sometimes yield a substantial fraction of so called equivalence clauses after translation to CNF. Probably the best known example of this is the parity-family. Large instances of such CNF formulas cannot be solved in reasonable time if no detection of, and extra reasoning with, these clauses is incorporated. That is, in solving these formulas, there is a more or less separate algorithmic device dealing with the equivalence clauses, called equivalence reasoning, and another dealing with the remaining clauses. In this paper we propose a way to align these two reasoning devices by introducing parameters for which we establish optimal values over a variety of existing benchmarks. We obtain a truly convincing speed-up in solving such formulas with respect to the best solving methods existing so far.