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A Better Constant-Factor Approximation for Selected-Internal Steiner Minimum Tree

机译:选定内部Steiner最小树的一个更好的恒定因子逼近

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摘要

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 ′ ⊊ R⊆V with |R−R ′|≥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. Keywords Selected-internal Steiner tree - Approximation algorithm
机译:选定的内部Steiner最小树问题是原始Steiner最小树问题的推广。给定具有权重函数c的加权完整图G =(V,E),以及两个子集R '⊊R⊆V,且| R−R ' |≥2,选择内部Steiner最小树问题是找到将R互连的G的最小子树T,使得T的任何叶子都不属于R '。在本文中,假设c为度量,我们针对该问题获得了(1 +ρ)近似算法,其中ρ是Steiner最小树问题的最著名近似率。选定内部Steiner树-近似算法

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