English

An Improved Time-Efficient Approximate Kernelization for Connected Treedepth Deletion Set

Data Structures and Algorithms 2022-12-02 v1 Discrete Mathematics

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).

Keywords

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

R2 v1 2026-06-28T07:19:16.722Z