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» On the Complexity of SAT
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CC
2007
Springer
121views System Software» more  CC 2007»
14 years 9 months ago
If NP Languages are Hard on the Worst-Case, Then it is Easy to Find Their Hard Instances
We prove that if NP ⊆ BPP, i.e., if SAT is worst-case hard, then for every probabilistic polynomial-time algorithm trying to decide SAT, there exists some polynomially samplable ...
Dan Gutfreund, Ronen Shaltiel, Amnon Ta-Shma
IAT
2006
IEEE
15 years 3 months ago
A Multi-stage Graph Decomposition Algorithm for Distributed Constraint Optimisation
In this paper, we propose a novel approach to solving the distributed constraint optimisation problem (DCOP) that guarantees completeness, while having linear communication comple...
Terence H.-W. Law, Adrian R. Pearce
AAAI
2004
14 years 11 months ago
Complete Local Search for Propositional Satisfiability
Algorithms based on following local gradient information are surprisingly effective for certain classes of constraint satisfaction problems. Unfortunately, previous local search a...
Hai Fang, Wheeler Ruml
FMOODS
2008
14 years 11 months ago
Symbolic Step Encodings for Object Based Communicating State Machines
In this work, novel symbolic step encodings of the transition relation for object based communicating state machines are presented. This class of systems is tailored to capture the...
Jori Dubrovin, Tommi A. Junttila, Keijo Heljanko
GLVLSI
2003
IEEE
153views VLSI» more  GLVLSI 2003»
15 years 2 months ago
FORCE: a fast and easy-to-implement variable-ordering heuristic
The MINCE heuristic for variable-ordering [1] successfully reduces the size of BDDs and can accelerate SAT-solving. Applications to reachability analysis have also been successful...
Fadi A. Aloul, Igor L. Markov, Karem A. Sakallah