Extraction Theorems With Small Extraction Numbers

Fuente: arXiv
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Autori principali: Agarwal, Arjun, Bandyapadhyay, Sayan
Natura: Preprint
Pubblicazione: 2024
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author Agarwal, Arjun
Bandyapadhyay, Sayan
author_facet Agarwal, Arjun
Bandyapadhyay, Sayan
contents In this work, we develop Extraction Theorems for classes of geometric objects with small extraction numbers. These classes include intervals, axis-parallel segments, axis-parallel rays, and octants. We investigate these classes of objects and prove small bounds on the extraction numbers. The tightness of these bounds is demonstrated by examples with matching lower bounds.
format Preprint
id arxiv_https___arxiv_org_abs_2411_18655
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Extraction Theorems With Small Extraction Numbers
Agarwal, Arjun
Bandyapadhyay, Sayan
Computational Geometry
Data Structures and Algorithms
In this work, we develop Extraction Theorems for classes of geometric objects with small extraction numbers. These classes include intervals, axis-parallel segments, axis-parallel rays, and octants. We investigate these classes of objects and prove small bounds on the extraction numbers. The tightness of these bounds is demonstrated by examples with matching lower bounds.
title Extraction Theorems With Small Extraction Numbers
topic Computational Geometry
Data Structures and Algorithms
url https://arxiv.org/abs/2411.18655