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Range Counting Oracles for Geometric Problems

Title: Range Counting Oracles for Geometric Problems
Authors: Driemel, Anne; Monemizadeh, Morteza; Oh, Eunjin; Staals, Frank; Woodruff, David P.; Sub Geometric Computing; Aichholzer, Oswin; Wang, Haitao
Publication Year: 2025
Subject Terms: Earth Mover's Distance; minimum spanning trees; Range counting oracles; Software
Description: In this paper, we study estimators for geometric optimization problems in the sublinear geometric model. In this model, we have oracle access to a point set with size n in a discrete space [Δ]d, where queries can be made to an oracle that responds to orthogonal range counting requests. The query complexity of an optimization problem is measured by the number of oracle queries required to compute an estimator for the problem. We investigate two problems in this framework, the Euclidean Minimum Spanning Tree (MST) and Earth Mover Distance (EMD). For EMD, we show the existence of an estimator that approximates the cost of EMD with O(log Δ)-relative error and O(nΔ/s1+1/d)-additive error using O(s polylog Δ) range counting queries for any parameter s with 1 ≤ s ≤ n. Moreover, we prove that this bound is tight. For MST, we demonstrate that the weight of MST can be estimated within a factor of (1 ± ∈) using Õ(√n) range counting queries.
Document Type: book part
File Description: application/pdf
Language: English
ISSN: 1868-8969
Relation: https://dspace.library.uu.nl/handle/1874/482986
Availability: https://dspace.library.uu.nl/handle/1874/482986
Rights: info:eu-repo/semantics/OpenAccess
Accession Number: edsbas.8D5BFB9A
Database: BASE