Motivated by some open problems posed in [13], we study three problems that seek a low degree subtree T of a graph G =(V, E). In the Min-Degree Group Steiner Tree problem we are given a collection of node subsets (groups), and T should contain a node from every group. In the Min-Degree Steiner k-Tree problem we are given a set R of terminals and an integer k, and T should contain k terminals. In both problems the goal is to minimize the maximum degree of T . In the more general Degrees Bounded Min-Cost Group Steiner Tree problem, we are also given edge costs and individual degree bounds (Formula Presented). The output tree T should obey the degree constraints degT (v) ≤ bv for all (Formula Presented), and among all such trees we seek one of minimum cost. When the input is a tree, an O(log2 n) approximation for the cost is given in [10]. Our first result generalizes [10] – we give a bicriteria (O(log2 n), O(log2 n))-approximation algorithm for Degrees Bounded Min-Cost Group Steiner Tree problem on tree inputs. This matches the cost ratio of [10] but also approximates the degrees within O(log2 n). Our second result shows that if Min-Degree Group Steiner Tree admits ratio ρ then Min-Degree Steiner k-Tree admits ratio ρ · O(log k). Combined with [12], this implies an O(log3 n)-approximation for Min-Degree Steiner k-Tree on general graphs, in quasi-polynomial time. Our third result is a polynomial time O(log3 n)-approximation algorithm for Min-Degree Group Steiner Tree on bounded treewidth graphs.
CITATION STYLE
Kortsarz, G., & Nutov, Z. (2020). Bounded Degree Group Steiner Tree Problems. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 12126 LNCS, pp. 343–354). Springer. https://doi.org/10.1007/978-3-030-48966-3_26
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