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 \(\mathbb {R}^d\).
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.