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» A Complete Multi-valued SAT Solver
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SAT
2009
Springer
91views Hardware» more  SAT 2009»
14 years 2 months ago
VARSAT: Integrating Novel Probabilistic Inference Techniques with DPLL Search
Probabilistic inference techniques can be used to estimate variable bias, or the proportion of solutions to a given SAT problem that fix a variable positively or negatively. Metho...
Eric I. Hsu, Sheila A. McIlraith
AAAI
2008
13 years 9 months ago
Clause Learning Can Effectively P-Simulate General Propositional Resolution
Currently, the most effective complete SAT solvers are based on the DPLL algorithm augmented by clause learning. These solvers can handle many real-world problems from application...
Philipp Hertel, Fahiem Bacchus, Toniann Pitassi, A...
SAT
2009
Springer
95views Hardware» more  SAT 2009»
14 years 2 months ago
Finding Lean Induced Cycles in Binary Hypercubes
Induced (chord-free) cycles in binary hypercubes have many applications in computer science. The state of the art for computing such cycles relies on genetic algorithms, which are,...
Yury Chebiryak, Thomas Wahl, Daniel Kroening, Leop...
ICTAI
2009
IEEE
14 years 2 months ago
Learning in Local Search
In this paper a learning based local search approach for propositional satisfiability is presented. It is based on an original adaptation of the conflict driven clause learning ...
Gilles Audemard, Jean-Marie Lagniez, Bertrand Mazu...
BIRTHDAY
2009
Springer
14 years 2 months ago
Hybrid BDD and All-SAT Method for Model Checking
We present a new hybrid BDD and SAT-based algorithm for model checking. Our algorithm is based on backward search, where each pre-image computation consists of an efficient All-SA...
Avi Yadgar, Orna Grumberg, Assaf Schuster