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A Linear-Time Algorithm for Finding Tree-Decompositions of Small Treewidth

Hans L. Bodlaender
- 01 Dec 1996 - 
- Vol. 25, Iss: 6, pp 1305-1317
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TLDR
Every minor-closed class of graphs that does not contain all planar graphs has a linear-time recognition algorithm that determines whether the treewidth of G is at most at most some constant $k$ and finds a tree-decomposition of G withtreewidth at most k.
Abstract
In this paper, we give for constant $k$ a linear-time algorithm that, given a graph $G=(V,E)$, determines whether the treewidth of $G$ is at most $k$ and, if so, finds a tree-decomposition of $G$ with treewidth at most $k$. A consequence is that every minor-closed class of graphs that does not contain all planar graphs has a linear-time recognition algorithm. Another consequence is that a similar result holds when we look instead for path-decompositions with pathwidth at most some constant $k$.

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References
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Journal ArticleDOI

The monadic second-order logic of graphs. I. recognizable sets of finite graphs

TL;DR: Every set of finite graphs, that is definable in monadic second-order logic is recognizable, but not vice versa, and the monadicsecond-order theory of a context-free set of graphs is decidable.
Journal ArticleDOI

Easy problems for tree-decomposable graphs

TL;DR: Using a variation of the interpretability concept, it is shown that all graph properties definable in monadic second-order logic with quantification over vertex and edge sets can be decided in linear time for classes of graphs of fixed bounded treewidth given a tree-decomposition.
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Treewidth: Computations and Approximations

Ton Kloks
TL;DR: Testing superperfection of k-trees and triangulating 3-colored graphs results in approximating treewidth and pathwidth for some classes of perfect graphs.
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CHAPTER 1 – Finite Automata

TL;DR: The field of finite automata is a branch of mathematics connected with the algebraic theory of semigroups and associative algebras as discussed by the authors, which is one of the most important areas of automata research.
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