直线多边形的矩形分区

IF 0.4 4区 计算机科学 Q4 MATHEMATICS Computational Geometry-Theory and Applications Pub Date : 2023-03-01 DOI:10.1016/j.comgeo.2022.101965
Hwi Kim , Jaegun Lee , Hee-Kap Ahn
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引用次数: 1

摘要

在两个最优性准则下,我们研究了使用P内部绘制的不相交线段将具有n个顶点且没有孔的直线多边形P划分为矩形的问题。在最小墨水分区中,在P内部绘制的线段的总长度被最小化。我们提出了一种使用O(n2)空间的O(n3)时间算法,该算法返回P的最小墨水分区。在厚分区中,所有得到的矩形上的最小边长最大化。我们给出一个O(n3log2⁡n) -使用O(n3)空间的时间算法,该算法使用与P的顶点相关的线段和O(n6log2⁡n) 使用O(n6)空间的时间算法,该算法使用入射到P的边界的线段返回厚分区。我们还证明了如果输入的直线多边形有洞,则使用入射到多边形顶点的线段的厚分区问题的相应决策问题是NP完全的。对于含有m个点孔的矩形,我们还提出了一个O(m3)-时间3近似算法来求解最小墨水分区。
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Rectangular partitions of a rectilinear polygon

We investigate the problem of partitioning a rectilinear polygon P with n vertices and no holes into rectangles using disjoint line segments drawn inside P under two optimality criteria. In the minimum ink partition, the total length of the line segments drawn inside P is minimized. We present an O(n3)-time algorithm using O(n2) space that returns a minimum ink partition of P. In the thick partition, the minimum side length over all resulting rectangles is maximized. We present an O(n3log2n)-time algorithm using O(n3) space that returns a thick partition using line segments incident to vertices of P, and an O(n6log2n)-time algorithm using O(n6) space that returns a thick partition using line segments incident to the boundary of P. We also show that if the input rectilinear polygon has holes, the corresponding decision problem for the thick partition problem using line segments incident to vertices of the polygon is NP-complete. We also present an O(m3)-time 3-approximation algorithm for the minimum ink partition for a rectangle containing m point holes.

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来源期刊
CiteScore
1.60
自引率
16.70%
发文量
43
审稿时长
>12 weeks
期刊介绍: Computational Geometry is a forum for research in theoretical and applied aspects of computational geometry. The journal publishes fundamental research in all areas of the subject, as well as disseminating information on the applications, techniques, and use of computational geometry. Computational Geometry publishes articles on the design and analysis of geometric algorithms. All aspects of computational geometry are covered, including the numerical, graph theoretical and combinatorial aspects. Also welcomed are computational geometry solutions to fundamental problems arising in computer graphics, pattern recognition, robotics, image processing, CAD-CAM, VLSI design and geographical information systems. Computational Geometry features a special section containing open problems and concise reports on implementations of computational geometry tools.
期刊最新文献
Editorial Board Largest unit rectangles inscribed in a convex polygon Packing unequal disks in the Euclidean plane Editorial Board Improved approximation for two-dimensional vector multiple knapsack
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