LCS Publication Details
Publication Title: Subexponential Parameterized Algorithms on Graphs of Bounded Genus and H-minor-free Graphs
Publication Author: Demaine, Erik
Additional Authors: Fedor V. Fomin, MohammadTaghi Hajiaghayi, Dimitrios M. Thilikos
LCS Document Number: MIT-LCS-TR-905
Publication Date: 6-5-2003
LCS Group: Theory of Computation
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Abstract:
We introduce a new framework for designing fixed-parameter algorithms with subexponential running time---2^O(sqrt k) n^O(1). Our results apply to a broad family of graph problems, called bidimensional problems, which includes many domination and covering problems such as vertex cover, feedback vertex set, minimum maximal matching, dominating set, edge dominating set, clique-transversal set, and many others restricted to bounded genus graphs. Furthermore, it is fairly straightforward to prove that a problem is bidimensional. In particular, our framework includes as special cases all previously known problems to have such subexponential algorithms. Previously, these algorithms applied to planar graphs, single-crossing-minor-free graphs, and/or map graphs; we extend these results to apply to bounded-genus graphs as well. In a parallel development of combinatorial results, we establish an upper bound on the treewidth (or branchwidth) of a bounded-genus graph that excludes some planar graph H as a minor. This bound depends linearly on the size |V(H)| of the excluded graph H and the genus g(G) of the graph G, and applies and extends the graph-minors work of Robertson and Seymour. Building on these results, we develop subexponential fixed-parameter algorithms for dominating set, vertex cover, and set cover in any class of graphs excluding a fixed graph H as a minor. In particular, this general category of graphs includes planar graphs, bounded-genus graphs, single-crossing-minor-free graphs, and any class of graphs that is closed under taking minors. Specifically, the running time is 2^O(sqrt k) n^h, where h is a constant depending only on H, which is polynomial for k = O(log^2 n). We introduce a general approach for developing algorithms on H-minor-free graphs, based on structural results about H-minor-free graphs at the heart of Robertson and Seymour's graph-minors work. We believe this approach opens the way to further development on problems in H-minor-free graphs.
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