Algorithmic Graph Minor Theory: Decomposition, Approximation, and Coloring (2005)
| Venue: | In 46th Annual IEEE Symposium on Foundations of Computer Science |
| Citations: | 36 - 9 self |
BibTeX
@INPROCEEDINGS{Demaine05algorithmicgraph,
author = {Erik D. Demaine and Mohammadtaghi Hajiaghayi and Ken-ichi Kawarabayashi},
title = {Algorithmic Graph Minor Theory: Decomposition, Approximation, and Coloring},
booktitle = {In 46th Annual IEEE Symposium on Foundations of Computer Science},
year = {2005},
pages = {637--646},
publisher = {Press}
}
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Abstract
At the core of the seminal Graph Minor Theory of Robertson and Seymour is a powerful structural theorem capturing the structure of graphs excluding a fixed minor. This result is used throughout graph theory and graph algorithms, but is existential. We develop a polynomialtime algorithm using topological graph theory to decompose a graph into the structure guaranteed by the theorem: a clique-sum of pieces almost-embeddable into boundedgenus surfaces. This result has many applications. In particular, we show applications to developing many approximation algorithms, including a 2-approximation to graph coloring, constant-factor approximations to treewidth and the largest grid minor, combinatorial polylogarithmicapproximation to half-integral multicommodity flow, subexponential fixed-parameter algorithms, and PTASs for many minimization and maximization problems, on graphs excluding a fixed minor. 1.







