Optimization for first order delaunay triangulations

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Abstract

This paper discusses optimization of quality measures over first order Delaunay triangulations. Unlike most previous work, our measures relate to edge-adjacent or vertex-adjacent triangles instead of only to single triangles. We give efficient algorithms to optimize certain measures, whereas other measures are shown to be NP-hard. For two of the NP-hard maximization problems we provide for any constant ε > 0, factor (1-ε) approximation algorithms that run in 2O(1/ε) · and 2 O(1/ε2) · n time (when the Delaunay triangulation is given). For a third NP-hard problem the NP-hardness proof provides an inapproximability result. Our results are presented for the class of first-order Delaunay triangulations, but also apply to triangulations where every triangle has at most one flippable edge. One of the approximation results is also extended to k-th order Delaunay triangulations. © Springer-Verlag Berlin Heidelberg 2007.

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APA

Van Kreveld, M., Löffler, M., & Silveira, R. I. (2007). Optimization for first order delaunay triangulations. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4619 LNCS, pp. 175–187). Springer Verlag. https://doi.org/10.1007/978-3-540-73951-7_16

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