2001
DOI: 10.1137/s0097539798338163
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An Approximation Algorithm for Feedback Vertex Sets in Tournaments

Abstract: We obtain a necessary and sufficient condition in terms of forbidden structures for tournaments to possess the min-max relation on packing and covering directed cycles, together with strongly polynomial time algorithms for the feedback vertex set problem and the cycle packing problem in this class of tournaments. Applying the local ratio technique of Bar-Yehuda and Even to the forbidden structures, we find a 2.5-approximation polynomial time algorithm for the feedback vertex set problem in any tournament.

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Cited by 60 publications
(64 citation statements)
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“…We show that the equivalence between the paradigms continues to hold. We demonstrate the use of the extended frameworks on several algorithms: a 2.5-approximation algorithm for feedback vertex set in tournaments [16]; a 2-approximation algorithm for a noncovering problem called minimum 2-satisfiability [29,9]; and a 3-approximation algorithm for a bandwidth trading problem [15]. We show that the equivalence continues to hold in the maximization case.…”
Section: Our Resultsmentioning
confidence: 98%
“…We show that the equivalence between the paradigms continues to hold. We demonstrate the use of the extended frameworks on several algorithms: a 2.5-approximation algorithm for feedback vertex set in tournaments [16]; a 2-approximation algorithm for a noncovering problem called minimum 2-satisfiability [29,9]; and a 3-approximation algorithm for a bandwidth trading problem [15]. We show that the equivalence continues to hold in the maximization case.…”
Section: Our Resultsmentioning
confidence: 98%
“…This yields a branching vector of (7,7,5,3,5,7,4,3) This yields a branching vector of (7,7,7,3,1) This yields a branching vector of (5, 7, 7, 7, 5, 7, 1) that solves to 1.5793. Henceforth, we can assume that 2 , 3 have no common predecessor except possibly 1 .…”
Section: Case 232mentioning
confidence: 99%
“…In other words, a tournament is a digraph with exactly one arc between any two of its vertices. Various approaches have been suggested to solve the MINIMUM FVS problem on tournaments, including approximation algorithms [3,11], fixed-parameter algorithms [4,9] as well asalgorithm [6,13]. The running time of this approach is within a polynomial factor of the number ( ) of minimal FVS in .…”
Section: Introductionmentioning
confidence: 99%
“…This structure can often be exploited to obtain algorithms with better performance than the corresponding 3-Hitting Set algorithm. In particular, for FVST, Cai et al [8] gave a factor 2.5 approximation algorithm. This has recently been improved to 7/3 by Mnich et al [29].…”
Section: Introductionmentioning
confidence: 99%