Xiangxue Jia
ABSTRACT
This paper proposes a search tree pruning strategy for SAT solving. It is called Local Lemma, because it generates lemmas from explored subtrees and these lemmas are valid only in a part of the search tree. The paper explains the basic principle of the strategy, illustrates it with an example, and presents some experimental results.
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Digital Library
- N. Eén and N. Sörensson. An extensible SAT-solver. In Proc. of SAT'03, pages 502--518, 2003.Google Scholar
- E. Goldberg, M. R. Prasad, and R. K. Brayton. Using problem symmetry in search based satisfiability algorithms. In Proc. of the Conference on Design, Automation, and Test in Europe, pages 134--142, 2002. Google ScholarDigital Library
- J. P. Marques-Silva and K. A. Sakallah. GRASP - a new search algorithm for satisfiability. In IEEE International Conf. on Tools with Artificial Intelligence, 1996.Google ScholarCross Ref
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