首页    期刊浏览 2025年05月25日 星期日
登录注册

文章基本信息

  • 标题:Generating Models of a Matched Formula With a Polynomial Delay
  • 本地全文:下载
  • 作者:Petr Savický ; Petr Kučera
  • 期刊名称:Journal of Artificial Intelligence Research
  • 印刷版ISSN:1076-9757
  • 出版年度:2016
  • 卷号:56
  • 页码:379-402
  • 出版社:American Association of Artificial
  • 摘要:A matched formula is a CNF formula whose incidence graph admits a matching which matches a distinct variable to every clause. Such a formula is always satisfiable. Matched formulas are used, for example, in the area of parametrized complexity. We prove that the problem of counting the number of the models (satisfying assignments) of a matched formula is #P-complete. On the other hand, we define a class of formulas generalizing the matched formulas and prove that for a formula in this class one can choose in polynomial time a variable suitable for splitting the tree for the search of the models of the formula. As a consequence, the models of a formula from this class, in particular of any matched formula, can be generated sequentially with a delay polynomial in the size of the input. On the other hand, we prove that this task cannot be performed efficiently for linearly satisfiable formulas, which is a generalization of matched formulas containing the class considered above.
国家哲学社会科学文献中心版权所有