动态几何集覆盖和打击集

P. Agarwal, Hsien-Chih Chang, S. Suri, Allen Xiao, J. Xue
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引用次数: 9

摘要

我们研究几何集覆盖和命中集的动态版本,其中点和范围可能被插入或删除,我们希望有效地维护当前问题实例的(近似)最优解。虽然它们的静态版本在过去已经被广泛研究,但令人惊讶的是,对动态几何集覆盖和命中集知之甚少。例如,即使对于一维区间集覆盖和命中集的最基本情况,也没有已知的非平凡结果。我们文章的主要贡献是两个框架,这两个框架导致了有效的数据结构,用于动态维护集合覆盖和命中集合在1和2中。第一个框架使用自引导,给出了一个(1 + ε)近似的数据结构,对于任意常数α > 0,动态区间集覆盖在0上,更新时间为O(nα / ε)摊销;该方法给出了更新时间为O(n1/2+α)的单位平方集覆盖和命中集的O(1)-近似数据结构。第二种框架采用局部修正,得到了一个(1 + ε)近似的数据结构,其更新时间为Õ(1/ε)摊销;给出了0(1)-近似的更新时间为Õ(1)的部分动态设置下的单位平方集覆盖和命中集的数据结构。
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Dynamic Geometric Set Cover and Hitting Set
We investigate dynamic versions of geometric set cover and hitting set where points and ranges may be inserted or deleted, and we want to efficiently maintain an (approximately) optimal solution for the current problem instance. While their static versions have been extensively studied in the past, surprisingly little is known about dynamic geometric set cover and hitting set. For instance, even for the most basic case of one-dimensional interval set cover and hitting set, no nontrivial results were known. The main contribution of our article are two frameworks that lead to efficient data structures for dynamically maintaining set covers and hitting sets in ℝ1 and ℝ2. The first framework uses bootstrapping and gives a (1 + ε)-approximate data structure for dynamic interval set cover in ℝ1 with O(nα / ε) amortized update time for any constant α > 0; in ℝ2, this method gives O(1)-approximate data structures for unit-square set cover and hitting set with O(n1/2+α) amortized update time. The second framework uses local modification and leads to a (1 + ε)-approximate data structure for dynamic interval hitting set in ℝ1 with Õ(1/ε) amortized update time; in ℝ2, it gives O(1)-approximate data structures for unit-square set cover and hitting set in the partially dynamic settings with Õ(1) amortized update time.
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