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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' is contained in R is contained in 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 p is the best-known approximation ratio for the Steiner minimum tree problem.
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),并且R中包含两个子集R'包含在V中,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p是Steiner最小树问题的最著名近似率。

著录项

  • 来源
    《Algorithmica》 |2010年第3期|333-341|共9页
  • 作者单位

    School of Mathematics and Statistics, Lanzhou University, Lanzhou, Gansu 730000, P.R. China;

    Department of Computer Science, University of Texas at Dallas, Richardson, TX 75080, USA;

    Department of Computer Science, University of Texas at Dallas, Richardson, TX 75080, USA;

    Department of Computer Science, University of Texas at Dallas, Richardson, TX 75080, USA;

    Department of Computer Science, University of Texas at Dallas, Richardson, TX 75080, USA;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    selected-internal steiner tree; approximation algorithm;

    机译:选定内部的斯坦纳树;近似算法;

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