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The geometric set cover problem is the special case of the set cover problem in geometric settings. The input is a range space ℝd and X and geometric shapes such as disks and axis-parallel rectangles. The goal is to select a minimum-size subset 𝒞.
Given the same range space ℛ has nonempty intersection with X contains points on the real line and
The greedy algorithm for the general set cover problem gives O(log𝖮𝖯𝖳)-approximate set cover/hitting set for a range space O(loglog𝖮𝖯𝖳) or ℝ2, respectively.
Based on the iterative-reweighting technique of Clarkson and Brönnimann and Goodrich, Agarwal and Pan gave algorithms that computes an approximate set cover/hitting set of a geometric range space in O(nlog3nlogloglog𝖮𝖯𝖳) time for range spaces induced by 2D axis-parallel rectangles; and it computes an Feige, Uriel (1998), "A threshold of ln n for approximating set cover", Journal of the ACM, 45 (4): 634–652, CiteSeerX 10.1.1.70.5014, doi:10.1145/285055.285059, S2CID 52827488{{citation}}: Cite uses deprecated parameter |citeseerx= (help)
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