Guarding Polyominoes Under k-Hop Visibility

IF 0.7 4区 计算机科学 Q4 COMPUTER SCIENCE, SOFTWARE ENGINEERING Algorithmica Pub Date : 2025-01-11 DOI:10.1007/s00453-024-01292-7
Omrit Filtser, Erik Krohn, Bengt J. Nilsson, Christian Rieck, Christiane Schmidt
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Abstract

We study the Art Gallery Problem under k-hop visibility in polyominoes. In this visibility model, two unit squares of a polyomino can see each other if and only if the shortest path between the respective vertices in the dual graph of the polyomino has length at most k. In this paper, we show that the VC dimension of this problem is 3 in simple polyominoes, and 4 in polyominoes with holes. Furthermore, we provide a reduction from Planar Monotone 3Sat, thereby showing that the problem is NP-complete even in thin polyominoes (i.e., polyominoes that do not a contain a \(2\times 2\) block of cells). Complementarily, we present a linear-time 4-approximation algorithm for simple 2-thin polyominoes (which do not contain a \(3\times 3\) block of cells) for all \(k\in {\mathbb {N}}\).

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在k-Hop能见度下保护多米诺
研究了多多项式中k-hop可见性下的美术馆问题。在该可见性模型中,当且仅当多项式对偶图中各自顶点之间的最短路径长度不超过k时,一个多项式的两个单位平方可以看到对方。本文证明了该问题的VC维在简单多项式中为3,在带孔的多项式中为4。此外,我们提供了平面单调3Sat的约简,从而表明即使在薄多边形(即不包含\(2\times 2\)单元块的多边形)中,问题也是np完全的。此外,我们提出了一个线性时间4-近似算法,适用于所有\(k\in {\mathbb {N}}\)的简单2-thin多形(不包含\(3\times 3\)单元块)。
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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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