Document Type
Conference Proceeding
Publication Date
5-27-2026
Department
Department of Computer Science
Abstract
Shallow cuttings are a fundamental tool in computational geometry and spatial databases for solving offline and online range searching problems. For a set P of N points in 3-D, at SODA’14, Afshani and Tsakalidis designed an optimal O(N log2 N) time algorithm that constructs shallow cuttings for 3-D dominance ranges in internal memory. Even though shallow cuttings are used in the I/O-model to design space and query efficient range searching data structures, an efficient construction of them is not known till now. In this paper, we design an optimal-cost algorithm to construct shallow cuttings for 3-D dominance ranges. The number of I/Os performed by the algorithm is O(N /B logM/B(N /B)), where B is the block size and M is the memory size. As two applications of the optimal-cost construction algorithm, we design fast algorithms for offline 3-D dominance reporting and offline 3-D approximate dominance counting. We believe that our algorithm will find further applications in offline 3-D range searching problems and in improving construction cost of data structures for 3-D range searching problems.
Publication Title
Leibniz International Proceedings in Informatics Lipics
ISBN
9783959774185
Recommended Citation
Nekrich, Y.,
&
Rahul, S.
(2026).
Optimal-Cost Construction of Shallow Cuttings for 3-D Dominance Ranges in the I/O-Model.
Leibniz International Proceedings in Informatics Lipics,
367.
http://doi.org/10.4230/LIPIcs.SoCG.2026.81
Retrieved from: https://digitalcommons.mtu.edu/michigantech-p2/2756
Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.
Version
Publisher's PDF
Publisher's Statement
© Yakov Nekrich and Saladi Rahul. Publisher’s version of record: 10.4230/LIPIcs.SoCG.2026.81