algorithmic graph theory
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2021 ◽  
Vol vol. 23, no. 3 (Graph Theory) ◽  
Author(s):  
Ke Liu ◽  
Mei Lu

Let $H=(V,F)$ be a simple hypergraph without loops. $H$ is called linear if $|f\cap g|\le 1$ for any $f,g\in F$ with $f\not=g$. The $2$-section of $H$, denoted by $[H]_2$, is a graph with $V([H]_2)=V$ and for any $ u,v\in V([H]_2)$, $uv\in E([H]_2)$ if and only if there is $ f\in F$ such that $u,v\in f$. The treewidth of a graph is an important invariant in structural and algorithmic graph theory. In this paper, we consider the treewidth of the $2$-section of a linear hypergraph. We will use the minimum degree, maximum degree, anti-rank and average rank of a linear hypergraph to determine the upper and lower bounds of the treewidth of its $2$-section. Since for any graph $G$, there is a linear hypergraph $H$ such that $[H]_2\cong G$, we provide a method to estimate the bound of treewidth of graph by the parameters of the hypergraph.


2017 ◽  
Vol 231 ◽  
pp. 1-3
Author(s):  
Boštjan Brešar ◽  
Pinar Heggernes ◽  
Marcin Kamiński ◽  
Martin Milanič ◽  
Daniel Paulusma ◽  
...  

2006 ◽  
pp. 379-460
Author(s):  
Artur Czumaj ◽  
Klaus Jansen ◽  
Friedhelm Meyer auf der Heide ◽  
Ingo Schiermeyer

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