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» The SAT Phase Transition
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JSAT
2006
109views more  JSAT 2006»
13 years 8 months ago
Decomposing SAT Problems into Connected Components
Many SAT instances can be decomposed into connected components either initially after preprocessing or during the solution phase when new unit conflict clauses are learned. This o...
Armin Biere, Carsten Sinz
ICASSP
2011
IEEE
13 years 5 days ago
Sparsity-undersampling tradeoff of compressed sensing in the complex domain
In this paper, recently developed ONE-L1 algorithms for compressed sensing are applied to complex-valued signals and sampling matrices. The optimal and iterative solution of ONE-L...
Zai Yang, Cishen Zhang
ICTAI
2007
IEEE
14 years 2 months ago
Adaptive Lookahead for Answer Set Computation
Lookahead is a well-known constraint propagation technique for DPLL-based SAT and answer set solvers. Despite its space pruning power, it can also slow down the search, due to its...
Guohua Liu, Jia-Huai You
IH
2004
Springer
14 years 1 months ago
Information Hiding in Finite State Machine
In this paper, we consider how to hide information into finite state machine (FSM), one of the popular computation models. The key advantage of hiding information in FSM is that t...
Lin Yuan, Gang Qu
SAT
2005
Springer
95views Hardware» more  SAT 2005»
14 years 1 months ago
Random Walk with Continuously Smoothed Variable Weights
Many current local search algorithms for SAT fall into one of two classes. Random walk algorithms such as Walksat/SKC, Novelty+ and HWSAT are very successful but can be trapped for...
Steven David Prestwich