An Improved Time-Efficient Approximate Kernelization for Connected Treedepth Deletion Set
Abstract
We study the CONNECTED \eta-TREEDEPTH DELETION problem where the input instance is an undireted graph G = (V, E) and an integer k. The objective is to decide if G has a set S \subseteq V(G) of at most k vertices such that G - S has treedepth at most \eta and G[S] is connected. As this problem naturally generalizes the well-known CONNECTED VERTEX COVER, when parameterized by solution size k, the CONNECTED \eta-TREEDEPTH DELETION does not admit polynomial kernel unless NP \subseteq coNP/poly. This motivates us to design an approximate kernel of polynomial size for this problem. In this paper, we show that for every 0 < \epsilon <= 1, CONNECTED \eta-TREEDEPTH DELETION SET admits a (1+\epsilon)-approximate kernel with O(k^{2^{\eta + 1/\epsilon}}) vertices, i.e. a polynomial-sized approximate kernelization scheme (PSAKS).
Cite
@article{arxiv.2212.00418,
title = {An Improved Time-Efficient Approximate Kernelization for Connected Treedepth Deletion Set},
author = {Eduard Eiben and Diptapriyo Majumdar and M. S. Ramanujan},
journal= {arXiv preprint arXiv:2212.00418},
year = {2022}
}
Comments
19 pages, 1 figures. Preliminary version appeared in Proceedings of WG-2022