Proceedings of the Twenty-Third Annual ACM-SIAM Symposium on Discrete Algorithms 2012
DOI: 10.1137/1.9781611973099.119
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Approximating Rooted Steiner Networks

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Cited by 8 publications
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“…(In fact, the k 1/2− -hardness of this problem can be derived from combining the result in [7] and [13].) For the case of undirected graphs, the hardness are k 1/10− and D 1/4− , for any constant > 0, and this also gives the same bound for the hardness of the subset k-connectivity problem.…”
Section: Introductionmentioning
confidence: 90%
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“…(In fact, the k 1/2− -hardness of this problem can be derived from combining the result in [7] and [13].) For the case of undirected graphs, the hardness are k 1/10− and D 1/4− , for any constant > 0, and this also gives the same bound for the hardness of the subset k-connectivity problem.…”
Section: Introductionmentioning
confidence: 90%
“…In this problem, we are given an undirected graph G = (V, E), a root vertex r and a set of terminals T ; the goal is to find a minimum-cost subgraph that has k openly (vertex) disjoint paths from the root vertex r to each terminal t ∈ T . For arbitrary k, the best known approximation ratio of this problem is O(k log k) by Nutov [24], and it was shown by Cheriyan, Laekhanukit, Naves and Vetta [7] that the dependence on k cannot be taken out because the problem does not admit o(k σ )-approximation, for some (very) small constant σ > 0, unless P = NP. However, when k is larger than the number of demands (or terminals) D, a trivial D-approximation algorithm does exist and yields a better approximation ratio than the O(k log k)-approximation algorithm.…”
Section: Introductionmentioning
confidence: 99%
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