A probabilistic approach to reducing algebraic complexity of delaunay triangulations

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Abstract

We propose algorithms to compute the Delaunay triangulation of a point set L using only (squared) distance comparisons (i.e., predicates of degree 2). Our approach is based on the witness complex, a weak form of the Delaunay complex introduced by Carlsson and de Silva. We give conditions that ensure that the witness complex and the Delaunay triangulation coincide and we introduce a new perturbation scheme to compute a perturbed set L′ close to L such that the Delaunay triangulation and the witness complex coincide. Our perturbation algorithm is a geometric application of the Moser-Tardos constructive proof of the Lov´asz local lemma.

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Boissonnat, J. D., Dyer, R., & Ghosh, A. (2015). A probabilistic approach to reducing algebraic complexity of delaunay triangulations. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9294, pp. 595–606). Springer Verlag. https://doi.org/10.1007/978-3-662-48350-3_50

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