Tight Localizations of Feedback Sets

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The classical NP-hard feedback arc set problem (FASP) and feedback vertex set problem (FVSP) ask for a minimum set of arcs ϵ ⊆ E or vertices ν ⊆ V whose removal G ∖ ϵ, G ∖ ν makes a given multi-digraph G=(V, E) acyclic, respectively. Though both problems are known to be APX-hard, constant ratio approximations or proofs of inapproximability are unknown. We propose a new universal O(|V||E|4)-heuristic for the directed FASP. While a ratio of r ≈ 1.3606 is known to be a lower bound for the APX-hardness, at least by empirical validation we achieve an approximation of r ≤ 2. Most of the relevant applications, such as circuit testing, ask for solving the FASP on large sparse graphs, which can be done efficiently within tight error bounds with our approach.

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Publisher Copyright: © 2021 Owner/Author.

Efnisorð

approximation algorithm, maximum linear ordering problem, Minimum feedback arc set problem, minimum feedback vertex set problem, Theoretical Computer Science

Citation

Hecht, M, Gonciarz, K & Horvát, S 2021, 'Tight Localizations of Feedback Sets', ACM Journal of Experimental Algorithmics, vol. 26, 3447652. https://doi.org/10.1145/3447652