Covering Simple Orthogonal Polygons with Rectangles

Aniket Basu Roy
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Abstract

We study the problem of Covering Orthogonal Polygons with Rectangles. For polynomial-time algorithms, the best-known approximation factor is $O(\sqrt{\log n})$ when the input polygon may have holes [Kumar and Ramesh, STOC '99, SICOMP '03], and there is a $2$-factor approximation algorithm known when the polygon is hole-free [Franzblau, SIDMA '89]. Arguably, an easier problem is the Boundary Cover problem where we are interested in covering only the boundary of the polygon in contrast to the original problem where we are interested in covering the interior of the polygon, hence it is also referred as the Interior Cover problem. For the Boundary Cover problem, a $4$-factor approximation algorithm is known to exist and it is APX-hard when the polygon has holes [Berman and DasGupta, Algorithmica '94]. In this work, we investigate how effective is local search algorithm for the above covering problems on simple polygons. We prove that a simple local search algorithm yields a PTAS for the Boundary Cover problem when the polygon is simple. Our proof relies on the existence of planar supports on appropriate hypergraphs defined on the Boundary Cover problem instance. On the other hand, we construct instances where support graphs for the Interior Cover problem have arbitrarily large bicliques, thus implying that the same local search technique cannot yield a PTAS for this problem. We also show large locality gap for its dual problem, namely the Maximum Antirectangle problem.
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用矩形覆盖简单正交多边形
我们研究的是用矩形覆盖正交多边形的问题。对于多项式时间算法来说,当输入多边形可能有洞时,最著名的近似系数是 $O(\sqrt/{log n})$[Kumar和Ramesh, STOC '99, SICOMP '03],而当多边形无洞时,有一种已知系数为 $2的近似算法[Franzblau, SIDMA '89]。可以说,更简单的问题是 "边界覆盖"(Boundary Cover)问题,在这个问题中,我们只对覆盖多边形的边界感兴趣,而在原始问题中,我们对覆盖多边形的内部感兴趣,因此它也被称为 "内部覆盖"(Interior Cover)问题。对于 "边界覆盖 "问题,已知存在一种 4 美元系数的近似算法,而且当多边形有洞时,这种算法是 APX 难算法[Berman 和 DasGupta,Algorithmica '94]。在这项工作中,我们研究了局部搜索算法对简单多边形上上述覆盖问题的有效性。我们证明,当多边形为简单多边形时,一个简单的局部搜索算法就能得到边界覆盖问题的 PTAS。我们的证明依赖于定义在边界覆盖问题实例上的适当超图上平面支撑的存在。另一方面,我们构建的实例中,Interior Cover 问题的支持图具有任意大的二叉,这意味着同样的局部搜索技术无法为该问题生成 PTAS。我们还展示了其两个问题(即最大反角问题)的巨大局部性差距。
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