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Approximation Algorithms for Some Optimum Communication Spanning Tree Problems

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Algorithms and Computation (ISAAC 1998)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1533))

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Abstract

Let G = (V, E,w) be an undirected graph with nonnegative edge weight w, and r be a nonnegative vertex weight. The productrequirement optimum communication spanning tree (PROCT) problem is to find a spanning tree T minimizing Σi,j∈V r(i)r(j)d(T, i, j), where d(T, i, j) is the distance between i and j on T. The sum-requirement optimum communication spanning tree (SROCT) problem is to minimize Σ i,j∈V (r(i) + r(j))d(T, i, j). Both the two problems are special cases of the general optimum communication spanning tree problem, and are generalizations of the shortest total path length spanning tree problem. In this paper, we present an O(n5) time 1.577-approximation algorithm for the PROCT problem, and an O(n3) time 2-approximation algorithm for the SROCT problem, where n is the number of vertices.

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© 1998 Springer-Verlag Berlin Heidelberg

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Wu, B.Y., Chao, KM., Tang, C.Y. (1998). Approximation Algorithms for Some Optimum Communication Spanning Tree Problems. In: Chwa, KY., Ibarra, O.H. (eds) Algorithms and Computation. ISAAC 1998. Lecture Notes in Computer Science, vol 1533. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-49381-6_43

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  • DOI: https://doi.org/10.1007/3-540-49381-6_43

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-65385-1

  • Online ISBN: 978-3-540-49381-5

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