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Euclidean minimum spanning trees and bichromatic closest pairs
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Source Annual Symposium on Computational Geometry archive
Proceedings of the sixth annual symposium on Computational geometry table of contents
Berkley, California, United States
Pages: 203 - 210  
Year of Publication: 1990
ISBN:0-89791-362-0
Authors
Sponsors
SIGACT: ACM Special Interest Group on Algorithms and Computation Theory
SIGGRAPH: ACM Special Interest Group on Computer Graphics and Interactive Techniques
Publisher
ACM  New York, NY, USA
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Downloads (6 Weeks): 9,   Downloads (12 Months): 68,   Citation Count: 5
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ABSTRACT

We present an algorithm to compute a Euclidean minimum spanning tree of a given set S of n points in @@@@d in time &Ogr;(&Tgr;d(N, N) logd N), where &Tgr;d(n, m) is the time required to compute a bichromatic closest pair among n red and m blue points in @@@@d. If &Tgr;d(N, N) = &OHgr;(N1+&egr;), for some fixed &egr; > 0, then the running time improves to &Ogr;(&Tgr;d(N, N)). Furthermore, we describe a randomized algorithm to compute a bichromatic closest pair in expected time &Ogr;((nm log n log m)2/3 + m log2 n + n log2 m) in @@@@3, which yields an &Ogr;(N4/3 log4/3 N) expected time algorithm for computing a Euclidean minimum spanning tree of N points in @@@@3.


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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H. Edelsbrunner and M. Sharir, A hyperplane incidence problem with applications to counting distances, manuscript, 1990.
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M. Shamos and D. Hoey, Closest-point problems, Proceedings 16th Annual IEEE Symposium on Foundations of Computer Science, 1975, pp. 151-162.
 
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P. Vaidya, A fast approximate algorithm for minimum spanning tree in k-dimensional space, Proceedings 25th Annual IEEE Symposium on Foundations of Computer Science, 1984, pp. 403-407.
 
Ya
A. Yao, On constructing minimum spanning trees in k-dimensional spaces and related problems, SIAM J. Computing 11 (1982), 721-736.


Collaborative Colleagues:
Pankaj K. Agarwal: colleagues
Herbert Edelsbrunner: colleagues
Otfried Schwarzkopf: colleagues
Emo Welzl: colleagues