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Constant factor approximation for tracking paths and fault tolerant feedback vertex set
Consider a vertex-weighted graph G with a source s and a target t. Tracking Paths requires finding a minimum weight set of vertices (trackers) such that the sequence of trackers in each path from s to t is unique. In this work, we derive a factor 6-approximation algorithm for Tracking Paths in weigh...
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Published in: | Discrete optimization 2023-02, Vol.47, p.100756, Article 100756 |
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Main Authors: | , , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | Consider a vertex-weighted graph G with a source s and a target t. Tracking Paths requires finding a minimum weight set of vertices (trackers) such that the sequence of trackers in each path from s to t is unique. In this work, we derive a factor 6-approximation algorithm for Tracking Paths in weighted graphs and a factor 4-approximation algorithm if the input is unweighted. This is the first constant factor approximation for this problem. While doing so, we also study approximation of the closely related r-Fault Tolerant Feedback Vertex Set problem. There, for a fixed integer r and a given vertex-weighted graph G, the task is to find a minimum weight set of vertices intersecting every cycle of G in at least r+1 vertices. We give a factor O(r) approximation algorithm for r-Fault Tolerant Feedback Vertex Set if r is a constant.
•We derive the first constant factor approximation algorithm for the Tracking Paths problem.•We give a factor O(r) approximation algorithm for the related r-Fault Tolerant Feedback Vertex Set.•We also show that Weighted Vertex Multicut in Forests has a 2-approximation. |
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ISSN: | 1572-5286 1873-636X |
DOI: | 10.1016/j.disopt.2022.100756 |