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]
Summary
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
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