Rahul, S (2021) Approximate range counting revisited. In: Journal of Computational Geometry, 12 (1). pp. 40-69.
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Abstract
We study range-searching for colored objects, where one has to count (approximately) the number of colors present in a query range. The problems studied mostly involve orthogonal range-searching in two and three dimensions, and the dual setting of rectangle stabbing by points. We present optimal and near-optimal solutions for these problems. Most of the results are obtained via reductions to the approximate uncolored version, and improved data-structures for them. An additional contribution of this work is the introduction of nested shallow cuttings. © 2021, Carleton University. All rights reserved.
Item Type: | Journal Article |
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Publication: | Journal of Computational Geometry |
Publisher: | Carleton University |
Additional Information: | The copyright for this article belongs to the Author |
Department/Centre: | Division of Electrical Sciences > Computer Science & Automation |
Date Deposited: | 18 Aug 2021 07:47 |
Last Modified: | 18 Aug 2021 07:47 |
URI: | http://eprints.iisc.ac.in/id/eprint/69023 |
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