...
首页> 外文期刊>Artificial intelligence >New width parameters for SAT and #SAT
【24h】

New width parameters for SAT and #SAT

机译:SAT和#SAT的新宽度参数

获取原文
获取原文并翻译 | 示例
   

获取外文期刊封面封底 >>

       

摘要

We study the parameterized complexity of the prepositional satisfiability (SAT) and the more general model counting (#SAT) problems and obtain novel fixed-parameter algorithms that exploit the structural properties of input formulas. In the first part of the paper, we parameterize by the treewidth of the following two graphs associated with CNF formulas: the consensus graph and the conflict graph. Both graphs have as vertices the clauses of the formula; in the consensus graph two clauses are adjacent if they do not contain a complementary pair of literals, while in the conflict graph two clauses are adjacent if they do contain a complementary pair of literals. We show that #SAT is fixed-parameter tractable when parameterized by the treewidth of the former graph, but SAT is W[1]-hard when parameterized by the treewidth of the latter graph. In the second part of the paper, we turn our attention to a novel structural parameter we call h-modularity which is loosely inspired by the well-established notion of community structure. The new parameter is defined in terms of a partition of clauses of the given CNF formula into strongly interconnected communities which are sparsely interconnected with each other. Each community forms a hitting formula, whereas the interconnections between communities form a graph of small treewidth. Our algorithms first identify the community structure and then use them for an efficient solution of SAT and #SAT, respectively.
机译:我们研究的介词满足性(SAT)和更一般的模型计数(#SAT)问题的参数的复杂性和获得利用输入函数式的结构性质的新的固定参数的算法。在本文的第一部分,我们通过参数与CNF公式相关的以下两个图的树宽:共识图和冲突图。两个曲线图具有与顶点的式条款;在共有图表两项条文是相邻的,如果他们不包含一对互补的文字的,而在冲突图两项条文是相邻的,如果他们确实包含一对互补的文字的。我们表明,#SAT是固定参数可解时由前图的树宽参数,但是SAT是W [1] -hard当由后者图形的树宽参数化。在论文的第二部分,我们将注意力转移到我们所说的H-模块化宽松地社区结构的完善概念激发了新的结构参数。新的参数是在给定的CNF式的条款成强烈互连的社区,其中稀疏彼此互连的分区来定义。每个社区形成击球式,而社区之间的互连形成小树宽的曲线图。我们的算法首先确定社会结构,然后分别用它们的SAT和#SAT的有效的解决方案。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号