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New algorithm of computing Delaunnay triangulation

Xie Huo-sheng

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Abstract

A new algorithm of computing Delaunay triangulation of data point set convex hull in known K dimension Euclidean pace is presented. By introducing assistant infinite triangle and Delaunay triangulation, this new algorithm assures that its running result is entirely Delaunay triangulation and overcomes Bowyer's algorithmic limitations. Besides, this new algorithm has on-line property and is applicable to dynamic data point set.

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A new algorithm of computing Delaunay triangulation of data point set convex hull in known K dimension Euclidean pace is presented. By introducing assistant infinite triangle and Delaunay triangulation, this new algorithm assures that its running result is entirely Delaunay triangulation and overcomes Bowyer's algorithmic limitations. Besides, this new algorithm has on-line property and is applicable to dynamic data point set.

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Available abstract

A new algorithm of computing Delaunay triangulation of data point set convex hull in known K dimension Euclidean pace is presented. By introducing assistant infinite triangle and Delaunay triangulation, this new algorithm assures that its running result is entirely Delaunay triangulation and overcomes Bowyer's algorithmic limitations. Besides, this new algorithm has on-line property and is applicable to dynamic data point set.

Key concepts: Delaunay triangulation, Bowyer–Watson algorithm, Pitteway triangulation, Minimum-weight triangulation, Constrained Delaunay triangulation, Chew's second algorithm, Ruppert's algorithm, Surface triangulation

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