Fully-Adaptive Dynamic Connectivity of Square Intersection Graphs

Fuente: arXiv
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Autores principales: van der Hoog, Ivor, Nusser, André, Rotenberg, Eva, Staals, Frank
Formato: Preprint
Publicado: 2024
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author van der Hoog, Ivor
Nusser, André
Rotenberg, Eva
Staals, Frank
author_facet van der Hoog, Ivor
Nusser, André
Rotenberg, Eva
Staals, Frank
contents A classical problem in computational geometry and graph algorithms is: given a dynamic set S of geometric shapes in the plane, efficiently maintain the connectivity of the intersection graph of S. Previous papers studied the setting where, before the updates, the data structure receives some parameter P. Then, updates could insert and delete disks as long as at all times the disks have a diameter that lies in a fixed range [1/P, 1]. The state-of-the-art for storing disks in a dynamic connectivity data structure is a data structure that uses O(Pn) space and that has amortized O(P log^4 n) expected amortized update time. Connectivity queries between disks are supported in O( log n / loglog n) time. The state-of-the-art for Euclidean disks immediately implies a data structure for connectivity between axis-aligned squares that have their diameter in the fixed range [1/P, 1], with an improved update time of O(P log^4 n) amortized time. We restrict our attention to axis-aligned squares, and study fully-dynamic square intersection graph connectivity. Our result is fully-adaptive to the aspect ratio, spending time proportional to the current aspect ratio ψ, as opposed to some previously given maximum P. Our focus on squares allows us to simplify and streamline the connectivity pipeline from previous work. When $n$ is the number of squares and ψ is the aspect ratio after insertion (or before deletion), our data structure answers connectivity queries in O(log n / loglog n) time. We can update connectivity information in O(ψ log^4 n + log^6 n) amortized time. We also improve space usage from O(P n log n) to O(n log^3 n log ψ) -- while generalizing to a fully-adaptive aspect ratio -- which yields a space usage that is near-linear in n for any polynomially bounded ψ.
format Preprint
id arxiv_https___arxiv_org_abs_2406_20065
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Fully-Adaptive Dynamic Connectivity of Square Intersection Graphs
van der Hoog, Ivor
Nusser, André
Rotenberg, Eva
Staals, Frank
Computational Geometry
A classical problem in computational geometry and graph algorithms is: given a dynamic set S of geometric shapes in the plane, efficiently maintain the connectivity of the intersection graph of S. Previous papers studied the setting where, before the updates, the data structure receives some parameter P. Then, updates could insert and delete disks as long as at all times the disks have a diameter that lies in a fixed range [1/P, 1]. The state-of-the-art for storing disks in a dynamic connectivity data structure is a data structure that uses O(Pn) space and that has amortized O(P log^4 n) expected amortized update time. Connectivity queries between disks are supported in O( log n / loglog n) time. The state-of-the-art for Euclidean disks immediately implies a data structure for connectivity between axis-aligned squares that have their diameter in the fixed range [1/P, 1], with an improved update time of O(P log^4 n) amortized time. We restrict our attention to axis-aligned squares, and study fully-dynamic square intersection graph connectivity. Our result is fully-adaptive to the aspect ratio, spending time proportional to the current aspect ratio ψ, as opposed to some previously given maximum P. Our focus on squares allows us to simplify and streamline the connectivity pipeline from previous work. When $n$ is the number of squares and ψ is the aspect ratio after insertion (or before deletion), our data structure answers connectivity queries in O(log n / loglog n) time. We can update connectivity information in O(ψ log^4 n + log^6 n) amortized time. We also improve space usage from O(P n log n) to O(n log^3 n log ψ) -- while generalizing to a fully-adaptive aspect ratio -- which yields a space usage that is near-linear in n for any polynomially bounded ψ.
title Fully-Adaptive Dynamic Connectivity of Square Intersection Graphs
topic Computational Geometry
url https://arxiv.org/abs/2406.20065