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(In)approximability of maximum minimal FVS.

Authors :
Dublois, Louis
Hanaka, Tesshu
Khosravian Ghadikolaei, Mehdi
Lampis, Michael
Melissinos, Nikolaos
Source :
Journal of Computer & System Sciences. Mar2022, Vol. 124, p26-40. 15p.
Publication Year :
2022

Abstract

We study the approximability of the NP-complete Maximum Minimal Feedback Vertex Set problem. Informally, this natural problem seems to lie in an intermediate space between two more well-studied problems of this type: Maximum Minimal Vertex Cover , for which the best achievable approximation ratio is n , and Upper Dominating Set , which does not admit any n 1 − ϵ approximation. We confirm and quantify this intuition by showing the first non-trivial polynomial time approximation for Maximum Minimal Feedback Vertex Set with a ratio of O (n 2 / 3) , as well as a matching hardness of approximation bound of n 2 / 3 − ϵ , improving the previously known hardness of n 1 / 2 − ϵ. Having settled the problem's approximability in polynomial time, we move to the context of super-polynomial time. We devise a generalization of our approximation algorithm which, for any desired approximation ratio r , produces an r -approximate solution in time n O (n / r 3 / 2). This time-approximation trade-off is essentially tight under the ETH. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00220000
Volume :
124
Database :
Academic Search Index
Journal :
Journal of Computer & System Sciences
Publication Type :
Academic Journal
Accession number :
153707977
Full Text :
https://doi.org/10.1016/j.jcss.2021.09.001