Abstract
AnO(n 2) time approximation algorithm for the minimum rectilinear Steiner tree is proposed. The approximation ratio of the algorithm is strictly less than 1.5. The computing performances show the costs of the spanning trees produced by the algorithm are only 0.8% away from the optimal ones.
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This research was supported in part by the National ‘863-306’ High-Tech Program and the National Natural Science Foundation of China.
MA Jun received the Ph.D. degree in computer science from Kyushu University of Japan in 1987. Now he is a Professor of Shandong University. His research interests include the analysis of algorithms, parallel computation and artificial intelligence.
YANG Bo received his B.S. degree in computer science from Shandong University in 1997. Now he is a postgraduate student at Shandong University. His research interests include database and analysis of algorithms.
MA Shaohan graduated from Shandong University in 1962. He is a Professor at the Department of Computer Science of Shandong University. His research interests include the analysis of algorithms, parallel computation and artificial intelligence.
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Ma, J., Yang, B. & Ma, S. A practical algorithm for the minimum rectilinear steiner tree. J. Comput. Sci. & Technol. 15, 96–99 (2000). https://doi.org/10.1007/BF02951931
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DOI: https://doi.org/10.1007/BF02951931