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  • 标题:Minimal unsatisfiable formulas with bounded clause-variable difference are fixed-parameter tractable
  • 本地全文:下载
  • 作者:Stefan Szeider
  • 期刊名称:Electronic Colloquium on Computational Complexity
  • 印刷版ISSN:1433-8092
  • 出版年度:2003
  • 卷号:2003
  • 出版社:Universität Trier, Lehrstuhl für Theoretische Computer-Forschung
  • 摘要:The deficiency of a propositional formula F in CNF with n variables and m clauses is defined as m-n. It is known that minimal unsatisfiable formulas (unsatisfiable formulas which become satisfiable by removing any clause) have positive deficiency. Recognition of minimal unsatisfiable formulas is NP-hard, and it was shown recently that minimal unsatisfiable formulas with deficiency k can be recognized in time n^{O(k)}. We improve this result and present an algorithm with time complexity O(2^k n^4). Whence the problem is fixed-parameter tractable in the sense of R.G. Downey and M.R. Fellows, Parameterized Complexity, Springer, New York, 1999. Our algorithm gives raise to a fixed-parameter tractable parameterization of the satisfiability problem: If the maximum deficiency over all subsets of a formula F is at most k, then we can decide in time O(2^k n^3) whether F is satisfiable (and we certify the decision by providing either a satisfying truth assignment or a regular resolution refutation). Known parameters for fixed-parameter tractable satisfiability decision are tree-width or related to tree-width. In contrast to tree-width (which is NP-hard to compute) the maximum deficiency can be calculated efficiently by graph matching algorithms. We exhibit an infinite class of formulas where maximum deficiency outperforms tree-width (and related parameters), as well as an infinite class where the converse prevails.
  • 关键词:bipartite matching , branch-width , fixed-parameter complexity , minimal unsatisfiability , SAT problem , tree-width
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