Online Geometric Covering and Piercing

IF 0.9 4区 计算机科学 Q4 COMPUTER SCIENCE, SOFTWARE ENGINEERING
Minati De, Saksham Jain, Sarat Varma Kallepalli, Satyam Singh
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引用次数: 0

Abstract

We consider the online version of the piercing set problem, where geometric objects arrive one by one, and the online algorithm must maintain a valid piercing set for the already arrived objects by making irrevocable decisions. It is easy to observe that any deterministic algorithm solving this problem for intervals in \(\mathbb {R}\) has a competitive ratio of at least \(\Omega (n)\). This paper considers the piercing set problem for similarly sized objects. We propose a deterministic online algorithm for similarly sized fat objects in \(\mathbb {R}^d\). For homothetic hypercubes in \(\mathbb {R}^d\) with side length in the range [1, k], we propose a deterministic algorithm having a competitive ratio of at most \(3^d\lceil \log _2 k\rceil +2^d\). In the end, we show deterministic lower bounds of the competitive ratio for similarly sized \(\alpha \)-fat objects in \(\mathbb {R}^2\) and homothetic hypercubes in \(\mathbb {R}^d\). Note that piercing translated copies of a convex object is equivalent to the unit covering problem, which is well-studied in the online setup. Surprisingly, no upper bound of the competitive ratio was known for the unit covering problem when the corresponding object is anything other than a ball or a hypercube. Our result yields an upper bound of the competitive ratio for the unit covering problem when the corresponding object is any convex object in \(\mathbb {R}^d\).

Abstract Image

Abstract Image

在线几何图形覆盖和穿孔
我们考虑的是穿刺集问题的在线版本,在这个问题中,几何对象一个接一个地到达,在线算法必须通过做出不可撤销的决定来为已经到达的对象维持一个有效的穿刺集。很容易观察到,任何针对 \(\mathbb {R}\) 中的区间求解这个问题的确定性算法都至少有 \(\Omega (n)\) 的竞争比。本文考虑了类似大小物体的穿孔集问题。我们提出了一种针对 \(\mathbb {R}^d\) 中大小相似的胖物体的确定性在线算法。对于边长在[1, k]范围内的\(\mathbb {R}^d\)中的同形超立方体,我们提出了一种确定性算法,其竞争比率最多为\(3^d\lceil \log _2 k\rceil +2^d\)。最后,我们展示了在\(\mathbb {R}^2\)中类似大小的\(α\)-胖对象和在\(\mathbb {R}^d\)中同调超立方体的竞争比率的确定性下限。请注意,穿透凸对象的平移副本等同于单位覆盖问题,这在在线设置中已经得到了很好的研究。令人惊讶的是,对于单位覆盖问题,当相应对象不是球或超立方体时,竞争比的上界并不为人所知。当相应对象是 \(\mathbb {R}^d\) 中的任何凸对象时,我们的结果给出了单位覆盖问题的竞争率上限。
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来源期刊
Algorithmica
Algorithmica 工程技术-计算机:软件工程
CiteScore
2.80
自引率
9.10%
发文量
158
审稿时长
12 months
期刊介绍: Algorithmica is an international journal which publishes theoretical papers on algorithms that address problems arising in practical areas, and experimental papers of general appeal for practical importance or techniques. The development of algorithms is an integral part of computer science. The increasing complexity and scope of computer applications makes the design of efficient algorithms essential. Algorithmica covers algorithms in applied areas such as: VLSI, distributed computing, parallel processing, automated design, robotics, graphics, data base design, software tools, as well as algorithms in fundamental areas such as sorting, searching, data structures, computational geometry, and linear programming. In addition, the journal features two special sections: Application Experience, presenting findings obtained from applications of theoretical results to practical situations, and Problems, offering short papers presenting problems on selected topics of computer science.
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