Minmax Tree Cover in the Euclidean Space

Authors

  • Seigo Karakawa
  • Ehab Morsy
  • Hiroshi Nagamochi

DOI:

https://doi.org/10.7155/jgaa.00230

Abstract

Let G=(V,E) be an edge-weighted graph, and let w(H) denote the sum of the weights of the edges in a subgraph H of G. Given a positive integer k, the balanced tree partitioning problem requires to cover all vertices in V by a set T of k trees of the graph so that the ratio α of maxTTw(T) to w(T*)/k is minimized, where T* denotes a minimum spanning tree of G. The problem has been used as a core analysis in designing approximation algorithms for several types of graph partitioning problems over metric spaces, and the performance guarantees depend on the ratio α of the corresponding balanced tree partitioning problems. It is known that the best possible value of α is 2 for the general metric space. In this paper, we study the problem in the d-dimensional Euclidean space \mathbbRd, and break the bound 2 on α, showing that α < 2√3−3/2 \fallingdotseq 1.964 for d ≥ 3 and α < (13 + √{109})/12 \fallingdotseq 1.953 for d=2. These new results enable us to directly improve the performance guarantees of several existing approximation algorithms for graph partitioning problems if the metric space is an Euclidean space.

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Published

2011-07-01

How to Cite

Karakawa, S., Morsy, E., & Nagamochi, H. (2011). Minmax Tree Cover in the Euclidean Space. Journal of Graph Algorithms and Applications, 15(3), 345–371. https://doi.org/10.7155/jgaa.00230