Towards exact structural thresholds for parameterized complexity
Falko Hegerfeld, Stefan Kratsch

TL;DR
This paper investigates the precise structural thresholds in parameterized complexity where problem difficulty increases, providing refined lower bounds for problems related to treewidth and clique-width.
Contribution
It introduces new and refined lower bounds for NP-hard problems based on structural parameters like treewidth and clique-width, extending understanding of complexity transitions.
Findings
Lower bounds for algorithms based on treewidth with single separator structures.
Lower bounds for clique-width related to density and twin classes.
Matching upper bounds with newly designed algorithms.
Abstract
Parameterized complexity seeks to use input structure to obtain faster algorithms for NP-hard problems. This has been most successful for graphs of low treewidth: Many problems admit fast algorithms relative to treewidth and many of them are optimal under SETH. Fewer such results are known for more general structure such as low clique-width and more restrictive structure such as low deletion distance to a sparse graph class. Despite these successes, such results remain "islands'' within the realm of possible structure. Rather than adding more islands, we seek to determine the transitions between them, that is, we aim for structural thresholds where the complexity increases as input structure becomes more general. Going from deletion distance to treewidth, is a single deletion set to a graph with simple components enough to yield the same lower bound as for treewidth or does it take…
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.
