The First Known Problem That Is FPT with Respect to Node Scanwidth but Not Treewidth
Jannik Schestag, Norbert Zeh

TL;DR
This paper demonstrates a fundamental difference between scanwidth and treewidth by showing a problem that is fixed-parameter tractable with respect to scanwidth but W[\ell]-hard with respect to treewidth, revealing that scanwidth captures unique structural graph properties.
Contribution
The paper provides the first known example of a problem that is FPT with respect to scanwidth but hard for treewidth, establishing a significant separation between these two graph parameters.
Findings
Weighted Phylogenetic Diversity with Dependencies is FPT in scanwidth.
The same problem is W[\ell]-hard in treewidth for all \ell \ge 1.
Scanwidth captures structural graph information beyond treewidth.
Abstract
Structural parameters of graphs, such as treewidth, play a central role in the study of the parameterized complexity of graph problems. Motivated by the study of parametrized algorithms on phylogenetic networks, scanwidth was introduced recently as a new treewidth-like structural parameter for directed acyclic graphs (DAGs) that respects the edge directions in the DAG. The utility of this width measure has been demonstrated by results that show that a number of problems that are fixed-parameter tractable (FPT) with respect to both treewidth and scanwidth allow algorithms with a better dependence on scanwidth than on treewidth. More importantly, these scanwidth-based algorithms are often much simpler than their treewidth-based counterparts: the name ``scanwidth'' reflects that traversing a tree extension (the scanwidth-equivalent of a tree decomposition) of a DAG amounts to ``scanning''…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsGenomics and Phylogenetic Studies · Genome Rearrangement Algorithms · Advanced Graph Theory Research
