| Computing geographic nearest neighbors using monotone matrix searching (preliminary version) |
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ACM Annual Computer Science Conference
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Proceedings of the 1990 ACM annual conference on Cooperation
table of contents
Washington, D.C., United States
Pages: 49 - 55
Year of Publication: 1990
ISBN:0-89791-348-5
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Authors
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Young C. Wee
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Department of Computer Science, State University of New York at Albany, Albany, New York
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Seth Chaiken
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Department of Computer Science, State University of New York at Albany, Albany, New York
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Dan E. Willard
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Department of Computer Science, State University of New York at Albany, Albany, New York
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Downloads (6 Weeks): 5, Downloads (12 Months): 18, Citation Count: 0
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ABSTRACT
We present an &Ogr;(N log2 N) divide-and-conquer algorithm for solving the all pairs geographic nearest neighbor problem (GNN) for a set of N sites in the plane under any Lp metric, 1 ≤ p ≥ ∞. This algorithm uses the monotone matrix searching technique of Aggarwal et. al. In addition, our method yields an &Ogr;(N logd-1 N) expected time algorithm for the d-dimensional GNN problem. We also discuss the applications of GNN approach to rectilinear Steiner trees.
REFERENCES
Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.
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