首页> 外文OA文献 >Simplified Algorithmic Metatheorems Beyond MSO: Treewidth and Neighborhood Diversity
【2h】

Simplified Algorithmic Metatheorems Beyond MSO: Treewidth and Neighborhood Diversity

机译:超越msO的简化算法元规划:树宽和   邻里多样性

代理获取
本网站仅为用户提供外文OA文献查询和代理获取服务,本网站没有原文。下单后我们将采用程序或人工为您竭诚获取高质量的原文,但由于OA文献来源多样且变更频繁,仍可能出现获取不到、文献不完整或与标题不符等情况,如果获取不到我们将提供退款服务。请知悉。

摘要

This paper settles the computational complexity of model checking of severalextensions of the monadic second order (MSO) logic on two classes of graphs:graphs of bounded treewidth and graphs of bounded neighborhood diversity. Aclassical theorem of Courcelle states that any graph property definable in MSOis decidable in linear time on graphs of bounded treewidth. Algorithmicmetatheorems like Courcelle's serve to generalize known positive results onvarious graph classes. We explore and extend three previously studied MSOextensions: global and local cardinality constraints (CardMSO and MSO-LCC) andoptimizing a fair objective function (fairMSO). First, we show how thesefragments relate to each other in expressive power and highlight their(non)linearity. On the side of neighborhood diversity, we show that combiningthe linear variants of local and global cardinality constraints is possiblewhile keeping the linear runtime but removing linearity of either makes thisimpossible, and we provide a polynomial time algorithm for the hard case.Furthemore, we show that even the combination of the two most powerfulfragments is solvable in polynomial time on graphs of bounded treewidth.
机译:本文在两类图上解决了单数二阶(MSO)逻辑扩展的模型检查的计算复杂性:有界树宽图和有界邻域分集图。 Courcelle的经典定理指出,在MSO中定义的任何图属性都可以在有界树宽图上的线性时间内确定。像Courcelle这样的算法元定理可用于概括各种图类上的已知肯定结果。我们探索并扩展了先前研究的三个MSO扩展:全局和局部基数约束(CardMSO和MSO-LCC)以及优化公平目标函数(fairMSO)。首先,我们展示这些片段如何在表达能力上相互联系,并突出它们的(非线性)。在邻域分集方面,我们表明可以将局部和全局基数约束的线性变体组合在一起,同时保持线性运行时间,但消除其中任何一个的线性都使这成为不可能,并且我们为困难的情况提供了多项式时间算法。此外,我们证明了即使是两个最强大片段的组合,也可以在多项式时间内在有界树宽图上求解。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
代理获取

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