Computational geometry: an introduction
Computational geometry: an introduction
Topologically sweeping an arrangement
Journal of Computer and System Sciences - 18th Annual ACM Symposium on Theory of Computing (STOC), May 28-30, 1986
Discrete & Computational Geometry - Special issue on ACM symposium on computational geometry, North Conway
Point location in arrangements of hyperplanes
Information and Computation
Efficiently computing the closest point to a query line
Pattern Recognition Letters
SFCS '83 Proceedings of the 24th Annual Symposium on Foundations of Computer Science
A simple framework for the generalized nearest neighbor problem
SWAT'12 Proceedings of the 13th Scandinavian conference on Algorithm Theory
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Given a set S of n points in Ed (d ≥ 3), we consider the problem of computing a closest point to a query hyperplane Q. For d = 3, we report an algorithm whose preprocessing time is in O(n1+Ɛ), space complexity is in O(n log n) and query time is in O(n2/3+Ɛ). For d 3, we adopt a different approach and propose an algorithm which has a query time in O(d log n), in an amortized sense, under a rather strong assumption that we explain in the paper, with O(nd+κ) preprocessing space and, O(nd+1+κ) preprocessing time, both in an expected sense, for some κ 0.