Fast Spatial Decomposition and Closest Pair Computation for Limited Precision Input

UNCG Author/Contributor (non-UNCG co-authors, if there are any, appear on document)
Stephen R. Tate, Professor and Department Head (Creator)
The University of North Carolina at Greensboro (UNCG )
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Abstract: In this paper we show that if the input points to the geometric closest pair problem are given with limited precision (each coordinate is specified with O (log n) bits), then we can compute the closest pair in O (n log log n) time. We also apply our spatial decomposition technique to the k-nearest neighbor and n-body problems, achieving similar improvements. To make use of the limited precision of the input points, we use a reasonable machine model that allows "bit shifting" in constant time—we believe that this model is realistic, and provides an interesting way of beating the Ω(n log n) lower bound that exists for this problem using the more typical algebraic RAM model.

Additional Information

Algorithmica, Vol. 28, 2000, pp. 271–287.
Language: English
Date: 2000
Spatial decomposition, Computational geometry, Closest pair, n-Body problem.

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