Rectilinear convex hull of points in 3D and applications

IF 1.8 3区 数学 Q1 Mathematics Journal of Global Optimization Pub Date : 2024-05-04 DOI:10.1007/s10898-024-01402-3
Pablo Pérez-Lantero, Carlos Seara, Jorge Urrutia
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Abstract

Let P be a set of n points in \(\mathbb {R}^3\) in general position, and let RCH(P) be the rectilinear convex hull of P. In this paper we obtain an optimal \(O(n\log n)\) time and O(n) space algorithm to compute RCH(P). We also obtain an efficient \(O(n\log ^2 n)\) time and \(O(n\log n)\) space algorithm to compute and maintain the set of vertices of the rectilinear convex hull of P as we rotate \({\mathbb {R}}^3\) around the Z-axis. We study some combinatorial properties of the rectilinear convex hulls of point sets in \(\mathbb {R}^3\). Finally, as an application of the obtained results, we show an approximation algorithm to an optimization fitting problem in \(\mathbb {R}^3\).

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三维中点的直线凸壳及其应用
让 P 是在\(\mathbb {R}^3\)中处于一般位置的 n 个点的集合,让 RCH(P) 是 P 的直线凸壳。在本文中,我们得到了一个最优的 \(O(n\log n)\)时间和 \(O(n) 空间算法来计算 RCH(P)。我们还得到了一种高效的(O(n\log ^2 n))时间和(O(n\log n))空间算法,当我们绕Z轴旋转\({mathbb {R}}^3\) 时,可以计算并维护P的直角凸壳的顶点集。我们研究了 \(\mathbb {R}^3\) 中点集的直线凸壳的一些组合性质。最后,作为所得结果的一个应用,我们展示了一种在 \(\mathbb {R}^3\) 中优化拟合问题的近似算法。
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来源期刊
Journal of Global Optimization
Journal of Global Optimization 数学-应用数学
CiteScore
0.10
自引率
5.60%
发文量
137
审稿时长
6 months
期刊介绍: The Journal of Global Optimization publishes carefully refereed papers that encompass theoretical, computational, and applied aspects of global optimization. While the focus is on original research contributions dealing with the search for global optima of non-convex, multi-extremal problems, the journal’s scope covers optimization in the widest sense, including nonlinear, mixed integer, combinatorial, stochastic, robust, multi-objective optimization, computational geometry, and equilibrium problems. Relevant works on data-driven methods and optimization-based data mining are of special interest. In addition to papers covering theory and algorithms of global optimization, the journal publishes significant papers on numerical experiments, new testbeds, and applications in engineering, management, and the sciences. Applications of particular interest include healthcare, computational biochemistry, energy systems, telecommunications, and finance. Apart from full-length articles, the journal features short communications on both open and solved global optimization problems. It also offers reviews of relevant books and publishes special issues.
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