On Kernels for d-Path Vertex Cover
Radovan \v{C}erven\'y, Pratibha Choudhary, Ond\v{r}ej Such\'y

TL;DR
This paper improves kernelization bounds for the d-Path Vertex Cover problem, providing smaller kernels for specific cases and a more efficient general kernel, advancing parameterized complexity techniques.
Contribution
The paper presents new, smaller kernels for d-Path Vertex Cover, notably for d=4 and d=5, and a more efficient general kernel for arbitrary d.
Findings
Kernels with O(k^2) vertices and edges for d=4 and d=5.
A kernel with O(k^4 d^{2d+9}) vertices and edges for general d.
Enhanced kernelization bounds improve parameterized algorithms for d-Path Vertex Cover.
Abstract
In this paper we study the kernelization of the -Path Vertex Cover (-PVC) problem. Given a graph , the problem requires finding whether there exists a set of at most vertices whose removal from results in a graph that does not contain a path (not necessarily induced) with vertices. It is known that -PVC is NP-complete for . Since the problem generalizes to -Hitting Set, it is known to admit a kernel with edges. We improve on this by giving better kernels. Specifically, we give kernels with vertices and edges for the cases when and . Further, we give a kernel with vertices and edges for general .
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.
