On Minimum Edge Ranking Spanning Trees |
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Authors: | Kazuhisa Makino Yushi Uno Toshihide Ibaraki |
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Affiliation: | Division of Systems Science, Graduate School of Engineering Science, Osaka University, Toyonaka, Osaka, 560-8531, Japanf1;Department of Mathematics and Information Sciences, College of Integrated Arts and Sciences, Osaka Prefecture University, Sakai, 599-8531, Japan, f2;Department of Applied Mathematics and Physics, Graduate School of Informatics, Kyoto University, Kyoto, 606-8501, Japan, f3 |
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Abstract: | In this paper, we introduce the problem of computing a minimum edge ranking spanning tree (MERST); i.e., find a spanning tree of a given graph G whose edge ranking is minimum. Although the minimum edge ranking of a given tree can be computed in polynomial time, we show that problem MERST is NP-hard. Furthermore, we present an approximation algorithm for MERST, which realizes its worst case performance ratiowhere n is the number of vertices in G and Δ* is the maximum degree of a spanning tree whose maximum degree is minimum. Although the approximation algorithm is a combination of two existing algorithms for the restricted spanning tree problem and for the minimum edge ranking problem of trees, the analysis is based on novel properties of the edge ranking of trees. |
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Keywords: | edge ranking minimum edge ranking spanning tree approximation algorithm NP-completeness |
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