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On Constant Factors in Comparison-Based Geometric Algorithms and Data Structures

机译:基于比较的几何算法和数据结构中的常数因子

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摘要

Many standard problems in computational geometry have been solved asymptotically optimally as far as comparison-based algorithms are concerned, but there has been little work focusing on improving the constant factors hidden in big-Oh bounds on the number of comparisons needed. In this paper, we consider orthogonal-type problems and present a number of results that achieve optimality in the constant factors of the leading terms, including
机译:就基于比较的算法而言,计算几何中的许多标准问题已被渐近优化地解决,但是很少有工作致力于改善隐藏在大Oh边界中的常数,从而需要比较的次数。在本文中,我们考虑了正交类型的问题,并提出了许多在前导项的常数因子中实现最优的结果,包括

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