arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 1907.04442cs.DScs.CCmath.CO
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有界树宽图的击中子图。IV。优化算法

Hitting minors on bounded treewidth graphs. IV. An optimal algorithm

Julien Baste, Ignasi Sau, Dimitrios M. Thilikos

摘要:

对于图${\cal F}$的固定有限集合,${\cal F}$ -M-DELETION问题要求,给定$n$ -顶点输入图$G,$,求与${\cal F}$中的图的$G$中的所有次模型相交的顶点的最小数目。对于依赖于${\cal F}$的某些函数$f_{\cal F}$,通过Courcelle定理,这个问题可以在时间$f_{\cal F}(tw)\cdot n^{O(1)},$中求解,其中$tw$是$G$的树宽。在最近的一系列文章中,我们已经开始了渐近优化函数$f_{\cal F}$的程序。在这里,我们提供了一个算法,显示$f_{\cal F}(tw) = 2^{O(tw\cdot \log tw)}$为每个集合${\cal F}$。在这项工作之前,最著名的函数$f_{\cal F}$是$tw$中的双指数函数。特别是,我们的算法极大地扩展了Jansen等人的结果。[SODA 2014]对于特定情况${\cal F}=\{K_5,K_{3,3}\}$和Kociumaka和Pilipczuk [Komica 2019]对于有界亏格的图,并回答了Cygan等人提出的一个开放问题。[Inf Comput 2017]。我们结合了几个成分,如机械的boundaried图在动态规划通过代表,平壁定理,二维性,无关顶点技术,树宽调制器,和突出更换。结合我们之前的结果,为特定集合${\cal F}$ [Theor Comput Sci 2020]和一般下界[J Comput Syst Sci 2020]提供单指数算法,当${\cal F} = \{H\}$包含单个连通图$H,$时,我们的算法产生以下复杂性二分法,假设指数时间假设:如果$H$是椅子或横幅的收缩,则为$f_H(tw)=2^{Θ(tw)}$,否则为$f_H(tw)=2^{Θ(tw\cdot \log tw)}$。

英文摘要:

For a fixed finite collection of graphs ${\cal F}$, the ${\cal F}$-M-DELETION problem asks, given an $n$-vertex input graph $G,$ for the minimum number of vertices that intersect all minor models in $G$ of the graphs in ${\cal F}$. by Courcelle Theorem, this problem can be solved in time $f_{\cal F}(tw)\cdot n^{O(1)},$ where $tw$ is the treewidth of $G$, for some function $f_{\cal F}$ depending on ${\cal F}$ In a recent series of articles, we have initiated the programme of optimizing asymptotically the function $f_{\cal F}$. Here we provide an algorithm showing that $f_{\cal F}(tw) = 2^{O(tw\cdot \log tw)}$ for every collection ${\cal F}$. Prior to this work, the best known function $f_{\cal F}$ was double-exponential in $tw$. In particular, our algorithm vastly extends the results of Jansen et al. [SODA 2014] for the particular case ${\cal F}=\{K_5,K_{3,3}\}$ and of Kociumaka and Pilipczuk [Algorithmica 2019] for graphs of bounded genus, and answers an open problem posed by Cygan et al. [Inf Comput 2017]. We combine several ingredients such as the machinery of boundaried graphs in dynamic programming via representatives, the Flat Wall Theorem, Bidimensionality, the irrelevant vertex technique, treewidth modulators, and protrusion replacement. Together with our previous results providing single-exponential algorithms for particular collections ${\cal F}$ [Theor Comput Sci 2020] and general lower bounds [J Comput Syst Sci 2020], our algorithm yields the following complexity dichotomy when ${\cal F} = \{H\}$ contains a single connected graph $H,$ assuming the Exponential Time Hypothesis: $f_H(tw)=2^{Θ(tw)}$ if $H$ is a contraction of the chair or the banner, and $f_H(tw)=2^{Θ(tw\cdot \log tw)}$ otherwise.

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