1998
DOI: 10.1137/s0097539796305109
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Approximation Algorithms for the Feedback Vertex Set Problem with Applications to Constraint Satisfaction and Bayesian Inference

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Cited by 167 publications
(128 citation statements)
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“…For any fixed d the distance to d-degenerate graphs is NP-hard to compute [42]. However, we can use existing linear-time constant-factor approximation algorithms for d = 0 and d = 1 [4]. Since a minimum feedback vertex set of a graph is always (and possibly much) smaller than its smallest vertex cover, it is natural to use this parameter rather than the vertex cover if comparably good results can be shown for both parameters.…”
Section: Parameters Lower-bounded By Degeneracymentioning
confidence: 99%
See 1 more Smart Citation
“…For any fixed d the distance to d-degenerate graphs is NP-hard to compute [42]. However, we can use existing linear-time constant-factor approximation algorithms for d = 0 and d = 1 [4]. Since a minimum feedback vertex set of a graph is always (and possibly much) smaller than its smallest vertex cover, it is natural to use this parameter rather than the vertex cover if comparably good results can be shown for both parameters.…”
Section: Parameters Lower-bounded By Degeneracymentioning
confidence: 99%
“…This is also known as the h-index of the current graph. 4 Complementing algorithmic results, the problems of finding and counting triangles are studied from a running time lower bounds perspective, where the lower bounds are based on popular conjectures like, for instance, the Strong Exponential-Time Hypothesis [33,32]. Accordingly, lower bounds are proven for finding (in a given edge-weighted graph) a triangle of negative weight [53] or counting (in a given vertex-colored graph) triangles with pairwise different colors on the vertices [3].…”
Section: Introductionmentioning
confidence: 99%
“…Application to Feedback Problems: The integrality gap of the standard LP for feedback vertex set is shown to be O(log n) in [4] and O(log k) for the more general subset feedback vertex set in [13] (hence also for the feedback edge problems). The above lemma combined with the O(log k) integrality gap for the 1-route multicut problem [15] yields simple alternate proofs of these results.…”
Section: A Useful Lemmamentioning
confidence: 99%
“…This problem is known as the Minimum Feedback-Vertex Set Problem [6], see [7] for a recent review. It is known to be NP-hard [8] and has applications in many diverse areas, including program verification [9] and Bayesian inference [10].…”
Section: Minimum Feedback-vertex Setsmentioning
confidence: 99%