关于矩形的最大独立集的逼近

Julia Chuzhoy, Alina Ene
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引用次数: 30

摘要

我们研究了矩形的最大独立集(MISR)问题:给定一组n个轴平行的矩形,找出矩形的最大基数子集,使得它们没有两个重叠。MISR是一个具有广泛应用的基本几何优化问题,已被广泛研究。直到最近,它的最佳近似算法达到了O(log log n)-近似因子。在最近的突破中,Adamaszek和Wiese提供了一种准多项式时间近似方案:运行时间为nO(poly(log n)/ε)的(1-ε)近似算法。尽管有这样的结果,获得PTAS甚至多项式时间常数因子近似仍然是一个具有挑战性的开放问题。在本文中,我们通过提供一种MISR算法,在时间nO(poly(log logn/ε))上实现(1 - ε)-近似,在这一目标上取得了进展。我们提出了一些新的技术想法,我们希望这些想法将导致在这个问题和相关问题上取得进一步进展。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
On Approximating Maximum Independent Set of Rectangles
We study the Maximum Independent Set of Rectangles (MISR) problem: given a set of n axis-parallel rectangles, find a largest-cardinality subset of the rectangles, such that no two of them overlap. MISR is a basic geometric optimization problem with many applications, that has been studied extensively. Until recently, the best approximation algorithm for it achieved an O(log log n)-approximation factor. In a recent breakthrough, Adamaszek and Wiese provided a quasi-polynomial time approximation scheme: a (1-ε)-approximation algorithm with running time nO(poly(log n)/ε). Despite this result, obtaining a PTAS or even a polynomial-time constant-factor approximation remains a challenging open problem. In this paper we make progress towards this goal by providing an algorithm for MISR that achieves a (1 - ε)-approximation in time nO(poly(log logn/ε)). We introduce several new technical ideas, that we hope will lead to further progress on this and related problems.
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