Approximate Range Counting Revisited
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Abstract (arXiv)
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.
Key facts. Cited by 1 paper in the map (data through 7 Oct 2026). First posted on arXiv 5 Dec 2015.
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Citing papers per year: 2021: 1.
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- 2021Approximate Maximum Halfspace Discrepancy25 Jun 2021