Title
Measuring what matters: A hybrid approach to dynamic programming with treewidth
Abstract
We develop a framework for applying treewidth-based dynamic programming on graphs with “hybrid structure”, i.e., with parts that may not have small treewidth but instead possess other structural properties. Informally, this is achieved by defining a refinement of treewidth which only considers parts of the graph that do not belong to a pre-specified tractable graph class. Our approach allows us to not only generalize existing fixed-parameter algorithms exploiting treewidth, but also fixed-parameter algorithms which use the size of a modulator as their parameter. As the flagship application of our framework, we obtain a parameter that combines treewidth and rank-width to obtain fixed-parameter algorithms for Chromatic Number, Hamiltonian Cycle, and Max-Cut.
Year
DOI
Venue
2021
10.1016/j.jcss.2021.04.005
Journal of Computer and System Sciences
Keywords
DocType
Volume
Parameterized complexity,Treewidth,Rank-width,Fixed-parameter algorithms
Journal
121
ISSN
Citations 
PageRank 
0022-0000
1
0.36
References 
Authors
0
4
Name
Order
Citations
PageRank
Eduard Eiben12016.81
Robert Ganian220840.19
Thekla Hamm311.71
O-joung Kwon410.36