Four-dimensional dominance range reporting in linear space
Document Type
Conference Proceeding
Publication Date
6-1-2020
Department
Department of Computer Science
Abstract
In this paper we study the four-dimensional dominance range reporting problem and present data structures with linear or almost-linear space usage. Our results can be also used to answer four-dimensional queries that are bounded on five sides. The first data structure presented in this paper uses linear space and answers queries in O(log1+ε n + k logε n) time, where k is the number of reported points, n is the number of points in the data structure, and ε is an arbitrarily small positive constant. Our second data structure uses O(n logε n) space and answers queries in O(log n + k) time. These are the first data structures for this problem that use linear (resp. O(n logε n)) space and answer queries in poly-logarithmic time. For comparison the fastest previously known linear-space or O(n logε n)-space data structure supports queries in O(nε + k) time (Bentley and Mauer, 1980). Our results can be generalized to d ≥ 4 dimensions. For example, we can answer d-dimensional dominance range reporting queries in O(log log n(log n/ log log n)d−3 + k) time using O(n logd−4+ε n) space. Compared to the fastest previously known result (Chan, 2013), our data structure reduces the space usage by O(log n) without increasing the query time.
Publication Title
Leibniz International Proceedings in Informatics, LIPIcs
ISBN
['9783959771436']
Recommended Citation
Nekrich, Y.
(2020).
Four-dimensional dominance range reporting in linear space.
Leibniz International Proceedings in Informatics, LIPIcs.
http://doi.org/10.4230/LIPIcs.SoCG.2020.59
Retrieved from: https://digitalcommons.mtu.edu/michigantech-p/2002
Publisher's Statement
© Yakov Nekrich; licensed under Creative Commons License CC-BY 36th International Symposium on Computational Geometry (SoCG 2020).