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首页> 外文期刊>Journal of Algorithms >Quasi-Greedy Triangulations Approximating the Minimum Weight Triangulation
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Quasi-Greedy Triangulations Approximating the Minimum Weight Triangulation

机译:拟最小三角剖分逼近最小权重三角剖分

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摘要

This article settles the following two longstanding open problems: 1. What is the worst case approximation ratio between the greedy triangulation and the minimum weight triangulation? 2. Is there a polynomial time algorithm that always produces a triangulation whose length is within a constant factor from the minimum? The answer to the first question is that the known Ω(n~(1/2)) lower bound is tight. The second question is answered in the affirmative by using a slight modification of an O(n log n) algorithm for the greedy triangulation. We also derive some other interesting results. For example, we show that a constant-factor approximation of the minimum weight convex partition can be obtained within the same time bounds.
机译:本文解决了以下两个长期存在的开放性问题:1.贪婪三角剖分和最小权重三角剖分的最坏情况近似比是多少? 2.是否有一个多项式时间算法始终产生三角剖分,而三角剖分的长度在最小值的恒定因子之内?第一个问题的答案是已知的Ω(n〜(1/2))下界很紧。通过对贪婪三角剖分使用O(n log n)算法的轻微修改,可以肯定地回答第二个问题。我们还得出其他有趣的结果。例如,我们表明可以在相同的时间范围内获得最小权凸凸分区的恒定因子近似值。

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