2017
DOI: 10.48550/arxiv.1703.07247
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On the Tree Augmentation Problem

Abstract: In the Tree Augmentation problem we are given a tree T = (V, F ) and a set E ⊆ V × V of edges with positive integer costs {c e : e ∈ E}. The goal is to augment T by a minimum cost edge set J ⊆ E such that T ∪ J is 2-edge-connected. We obtain the following results.-Recently, Adjiashvili [SODA 17] introduced a novel LP for the problem and used it to break the 2-approximation barrier for instances when the maximum cost M of an edge in E is bounded by a constant; his algorithm computes a 1.96418 + approximate solu… Show more

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Cited by 1 publication
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“…al [9] generalized the constraints from [16] and combined them with the bundle constraints from [1] to propose the ODD-LP we described above and achieved a 3 2 + ǫ approximation for the same special case (when all the costs are between 1 and some constant M ). Another recent paper by Nutov takes a subset of Adjiashvili's constraints and achieves a 12 7 + ǫ approximation when all the costs are between 1 and some constant M [19]. All of these techniques rely heavily on the bundle constraints that are focused on link weights being in a bounded range; hence they do not seem to be generalizable to the case of arbitrary weights.…”
Section: Related Workmentioning
confidence: 99%
“…al [9] generalized the constraints from [16] and combined them with the bundle constraints from [1] to propose the ODD-LP we described above and achieved a 3 2 + ǫ approximation for the same special case (when all the costs are between 1 and some constant M ). Another recent paper by Nutov takes a subset of Adjiashvili's constraints and achieves a 12 7 + ǫ approximation when all the costs are between 1 and some constant M [19]. All of these techniques rely heavily on the bundle constraints that are focused on link weights being in a bounded range; hence they do not seem to be generalizable to the case of arbitrary weights.…”
Section: Related Workmentioning
confidence: 99%