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Maximizing the Number of Independent Labels in the Plane

机译:最大化平面中独立标签的数量

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In this paper, we consider a map labeling problem to maximize the number of independent labels in the plane. We first investigate the point labeling model that each label can be placed on a given set of anchors on a horizontal line. It is known that most of the map labeling decision models on a single line (horizontal or slope line) can be easily solved. However, the label number maximization models are more difficult (like 2SAT vs. MAX-2SAT). We present an O(n log Δ) time algorithm for the four position label model on a horizontal line based on dynamic programming and a particular analysis, where n is the number of the anchors and Δ is the maximum number of labels whose intersection is nonempty. As a contrast to Agarwal et al.'s result [Comput. Geom. Theory Appl. 11 (1998) 209-218] and Chan's result [Inform. Process. Letters 89(2004) 19-23] in which they provide (1 + l/k)-factor PTAS algorithms that run in O(nlogn + n~(2k-1)) time and O(n log n + nΔ~(k-1)) time respectively for the fixed-height rectangle label placement model in the plane, we extend our method to improve their algorithms and present a (1 + l/k)-factor PTAS algorithm that runs in O(n log n + kn log~4 Δ + Δ~(k-1)) time using O(kΔ ~3 log~4 Δ + kΔ~(k-1)) storage.
机译:在本文中,我们考虑了地图标注问题,以最大化平面中独立标注的数量。我们首先研究点标签模型,该模型可以将每个标签放置在一条水平线上的给定锚上。众所周知,一条直线(水平或斜线)上的大多数地图标注决策模型都可以轻松解决。但是,标签数量最大化模型较为困难(例如2SAT与MAX-2SAT)。我们基于动态编程和特殊分析,针对水平线上的四个位置标签模型提出了O(n logΔ)时间算法,其中n是锚点的数量,Δ是交点为非空的标签的最大数量。与Agarwal等人的结果相反。几何理论应用11(1998)209-218]和Chan的结果[Inform。处理。 Letters 89(2004)19-23]中提供了(1 + l / k)因子PTAS算法,它们在O(nlogn + n〜(2k-1))时间和O(n log n +nΔ〜( k-1))时间分别在平面中固定高度矩形标签放置模型中,我们扩展了方法以改进其算法,并提出了一种在O(n log n中运行)的(1 + l / k)因子PTAS算法使用O(kΔ〜3 log〜4Δ+kΔ〜(k-1))存储+ kn log〜4Δ+Δ〜(k-1))时间。

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