Abstract

Given a graph G, we define \(\mathbf{bcg}(G)\) as the minimum k for which G can be contracted to the uniformly triangulated grid \(\Gamma _{k}\). A graph class \({\mathcal {G}}\) has the SQGC property if every graph \(G\in {\mathcal {G}}\) has treewidth \(\mathcal {O}(\mathbf{bcg}(G)^{c})\) for some \(1\le c<2\). The SQGC property is important for algorithm design as it defines the applicability horizon of a series of meta-algorithmic results, in the framework of bidimensionality theory, related to fast parameterized algorithms, kernelization, and approximation schemes. These results apply to a wide family of problems, namely problems that are contraction-bidimensional. Our main combinatorial result reveals a wide family of graph classes that satisfy the SQGC property. This family includes, in particular, bounded-degree string graphs. This considerably extends the applicability of bidimensionality theory for contraction bidimensional problems.

Highlights

  • Treewidth is one of most well-studied parameters in graph algorithms

  • Treewidth has extensively used in graph algorithm design due to the fact that a wide class of intractable problems in graphs becomes tractable when restricted on graphs of bounded treewidth [1, 4, 5]

  • An important step extending the applicability of bidimensionality theory further than Hminor free graphs, was done in [23]

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Summary

Introduction

Treewidth is one of most well-studied parameters in graph algorithms. It serves as a measure of how close a graph is to the topological structure of a tree (see Section 2 for the formal definition). Gavril is the first to introduce the concept in [28] but it obtained its name in the second paper of the Graph Minors series of Robertson and Seymour in [36]. Treewidth has extensively used in graph algorithm design due to the fact that a wide class of intractable problems in graphs becomes tractable when restricted on graphs of bounded treewidth [1, 4, 5]. Before we present some key combinatorial properties of treewidth, we need some definitions

Graph contractions and minors
Combinatorics of treewdith
Optimization parameters and bidimensionality
Algorithmic implications
String graphs
Our contribution
Definitions and preliminaries
Treewidth
Proof of Theorem 7
Λ-state configurations
Triangulated grids inside triangulated grids
Findings
Conclusions and open problems
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