Computational Geometry with Probabilistically Noisy Primitive Operations

Fuente: arXiv
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Auteurs principaux: Eppstein, David, Goodrich, Michael T., Sridhar, Vinesh
Format: Preprint
Publié: 2025
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author Eppstein, David
Goodrich, Michael T.
Sridhar, Vinesh
author_facet Eppstein, David
Goodrich, Michael T.
Sridhar, Vinesh
contents Much prior work has been done on designing computational geometry algorithms that handle input degeneracies, data imprecision, and arithmetic round-off errors. We take a new approach, inspired by the noisy sorting literature, and study computational geometry algorithms subject to noisy Boolean primitive operations in which, e.g., the comparison "is point q above line L?" returns the wrong answer with some fixed probability. We propose a novel technique called path-guided pushdown random walks that generalizes the results of noisy sorting. We apply this technique to solve point-location, plane-sweep, convex hulls in 2D and 3D, dynamic 2D convex hulls, and Delaunay triangulations for noisy primitives in optimal time with high probability.
format Preprint
id arxiv_https___arxiv_org_abs_2501_07707
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Computational Geometry with Probabilistically Noisy Primitive Operations
Eppstein, David
Goodrich, Michael T.
Sridhar, Vinesh
Computational Geometry
Much prior work has been done on designing computational geometry algorithms that handle input degeneracies, data imprecision, and arithmetic round-off errors. We take a new approach, inspired by the noisy sorting literature, and study computational geometry algorithms subject to noisy Boolean primitive operations in which, e.g., the comparison "is point q above line L?" returns the wrong answer with some fixed probability. We propose a novel technique called path-guided pushdown random walks that generalizes the results of noisy sorting. We apply this technique to solve point-location, plane-sweep, convex hulls in 2D and 3D, dynamic 2D convex hulls, and Delaunay triangulations for noisy primitives in optimal time with high probability.
title Computational Geometry with Probabilistically Noisy Primitive Operations
topic Computational Geometry
url https://arxiv.org/abs/2501.07707