Generalized feedback vertex set problems on bounded-treewidth graphs: chordality is the key to single-exponential parameterised algorithms

Conference paper


Bonnet, E., Brettell, N., Kwon, O. and Marx, D. 2018. Generalized feedback vertex set problems on bounded-treewidth graphs: chordality is the key to single-exponential parameterised algorithms. 12th International Symposium on Parameterized and Exact Computation (IPEC 2017). Vienna, Austria 06 - 08 Sep 2017 LIPICS Schloss Dagstuhl. pp. 7:1-7:13 https://doi.org/10.4230/LIPIcs.IPEC.2017.7
TypeConference paper
TitleGeneralized feedback vertex set problems on bounded-treewidth graphs: chordality is the key to single-exponential parameterised algorithms
AuthorsBonnet, E., Brettell, N., Kwon, O. and Marx, D.
Abstract

It has long been known that Feedback Vertex Set can be solved in time 2^O(w log w)n^O(1) on graphs of treewidth w, but it was only recently that this running time was improved to 2^O(w)n^O(1), that is, to single-exponential parameterized by treewidth. We investigate which generalizations of Feedback Vertex Set can be solved in a similar running time. Formally, for a class of graphs P, Bounded P-Block Vertex Deletion asks, given a graph G on n vertices and positive integers k and d, whether G contains a set S of at most k vertices such that each block of G-S has at most d vertices and is in P. Assuming that P is recognizable in polynomial time and satisfies a certain natural hereditary condition, we give a sharp characterization of when single-exponential parameterized algorithms are possible for fixed values of d: - if P consists only of chordal graphs, then the problem can be solved in time 2^O(wd^2) n^{O}(1), - if P contains a graph with an induced cycle of length ell>= 4, then the problem is not solvable in time 2^{o(w log w)} n^O(1)} even for fixed d=ell, unless the ETH fails. We also study a similar problem, called Bounded P-Component Vertex Deletion, where the target graphs have connected components of small size instead of having blocks of small size, and present analogous results.

Conference12th International Symposium on Parameterized and Exact Computation (IPEC 2017)
Page range7:1-7:13
ISSN1868-8969
ISBN
Hardcover9783959770514
PublisherLIPICS Schloss Dagstuhl
Publication dates
Online08 Sep 2017
Print23 Feb 2018
Publication process dates
Deposited23 Apr 2018
Accepted25 Jul 2017
Output statusPublished
Publisher's version
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Additional information

Article number = 7

Digital Object Identifier (DOI)https://doi.org/10.4230/LIPIcs.IPEC.2017.7
LanguageEnglish
Book title12th International Symposium on Parameterized and Exact Computation (IPEC 2017)
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https://repository.mdx.ac.uk/item/879y2

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