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...
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...
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...
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...
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...