Structurally Parameterized d-Scattered Set
Ioannis Katsikarelis, Michael Lampis, Vangelis Th. Paschos

TL;DR
This paper studies the computational complexity of the d-Scattered Set problem, providing algorithms and hardness results based on graph parameters like treewidth and vertex cover, and offering an approximation scheme.
Contribution
It introduces new algorithms and tight lower bounds for d-Scattered Set, generalizing known results for Independent Set and exploring parameterized complexity.
Findings
An $O^*(d^{tw})$-time algorithm for fixed $d$ and treewidth.
Matching SETH-based lower bounds for the algorithm's performance.
W[1]-hardness results for vertex cover and feedback vertex set parameters.
Abstract
In -Scattered Set we are given an (edge-weighted) graph and are asked to select at least vertices, so that the distance between any pair is at least , thus generalizing Independent Set. We provide upper and lower bounds on the complexity of this problem with respect to various standard graph parameters. In particular, we show the following: - For any , an -time algorithm, where is the treewidth of the input graph. - A tight SETH-based lower bound matching this algorithm's performance. These generalize known results for Independent Set. - -Scattered Set is W[1]-hard parameterized by vertex cover (for edge-weighted graphs), or feedback vertex set (for unweighted graphs), even if is an additional parameter. - A single-exponential algorithm parameterized by vertex cover for unweighted graphs, complementing the…
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