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A Better Constant-Factor Approximation for Selected-Internal Steiner Minimum Tree
Authors:Xianyue Li  Feng Zou  Yaochun Huang  Donghyun Kim  Weili Wu
Affiliation:1. School of Mathematics and Statistics, Lanzhou University, Lanzhou, Gansu, 730000, P.R. China
2. Department of Computer Science, University of Texas at Dallas, Richardson, TX, 75080, USA
Abstract:The selected-internal Steiner minimum tree problem is a generalization of original Steiner minimum tree problem. Given a weighted complete graph G=(V,E) with weight function c, and two subsets R RV with |RR |≥2, selected-internal Steiner minimum tree problem is to find a minimum subtree T of G interconnecting R such that any leaf of T does not belong to R . In this paper, suppose c is metric, we obtain a (1+ρ)-approximation algorithm for this problem, where ρ is the best-known approximation ratio for the Steiner minimum tree problem.
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