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A (7/2)-Approximation Algorithm for Guarding Orthogonal Art Galleries with Sliding Cameras

机译:一种(7/2) - 用滑动摄像头保护正交艺术画廊的千克估计算法

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Consider a sliding camera that travels back and forth along an orthogonal line segment s inside an orthogonal polygon P with n vertices. The camera can see a point p inside P if and only if there exists a line segment containing p that crosses s at a right angle and is completely contained in P. In the minimum sliding cameras (MSC) problem, the objective is to guard P with the minimum number of sliding cameras. In this paper, we give an O(n~(5/2))-time (7/2)-approximation algorithm to the MSC problem on any simple orthogonal polygon with n vertices, answering a question posed by Katz and Morgenstern (2011). To the best of our knowledge, this is the first constant-factor approximation algorithm for this problem.
机译:考虑一个滑动相机,其沿着正交多边形P的正交线段S来回行进,用N个顶点。相机可以在P中看到点P如果且仅存在包含在直角的线路的线段并且完全包含在P.中的最小滑动摄像机(MSC)问题中,则目标是防护P.具有最小数量的滑动摄像头。在本文中,我们给出了与N顶点的任何简单正交多边形的MSC问题的O(N〜(5/2)) - 时间(7/2) - 批量算法,回答了Katz和Morgenstern提出的问题(2011年)。据我们所知,这是这个问题的第一个恒因子近似算法。

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