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» Solving Over-Constrained Problems with SAT
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ICTAI
2007
IEEE
14 years 2 months ago
Qualitative Constraints Representation for the Time and Space in SAT
In this paper we consider the consistency problem of temporal or spatial qualitive constraint networks. A new encoding making it possible to represent and solve this problem in th...
Jean-François Condotta, Dominique D'Almeida
CP
2006
Springer
13 years 11 months ago
Propagation in CSP and SAT
Abstract. Constraint Satisfaction Problems and Propositional Satisfiability, are frameworks widely used to represent and solve combinatorial problems. A concept of primary importan...
Yannis Dimopoulos, Kostas Stergiou
ICCAD
2001
IEEE
144views Hardware» more  ICCAD 2001»
14 years 4 months ago
Faster SAT and Smaller BDDs via Common Function Structure
The increasing popularity of SAT and BDD techniques in verification and synthesis encourages the search for additional speed-ups. Since typical SAT and BDD algorithms are exponent...
Fadi A. Aloul, Igor L. Markov, Karem A. Sakallah
DAC
2004
ACM
14 years 9 months ago
Exploiting structure in symmetry detection for CNF
Instances of the Boolean satisfiability problem (SAT) arise in many areas of circuit design and verification. These instances are typically constructed from some human-designed ar...
Paul T. Darga, Mark H. Liffiton, Karem A. Sakallah...
CP
2009
Springer
13 years 5 months ago
Lazy Clause Generation Reengineered
Abstract. Lazy clause generation is a powerful hybrid approach to combinatorial optimization that combines features from SAT solving and finite domain (FD) propagation. In lazy cla...
Thibaut Feydy, Peter J. Stuckey