Space Efficient Multi-Dimensional Range Reporting
| dc.creator | Karpinski, Marek | |
| dc.creator | Nekrich, Yakov | |
| dc.date | 2008-06-26 | |
| dc.date | 2009-04-24 | |
| dc.date.accessioned | 2026-07-07T13:07:31Z | |
| dc.date.available | 2026-07-07T13:07:31Z | |
| dc.description | We present a data structure that supports three-dimensional range reporting queries in $O(\log \log U + (\log \log n)^3+k)$ time and uses $O(n\log^{1+\eps} n)$ space, where $U$ is the size of the universe, $k$ is the number of points in the answer,and $\eps$ is an arbitrary constant. This result improves over the data structure of Alstrup, Brodal, and Rauhe (FOCS 2000) that uses $O(n\log^{1+\eps} n)$ space and supports queries in $O(\log n+k)$ time,the data structure of Nekrich (SoCG'07) that uses $O(n\log^{3} n)$ space and supports queries in $O(\log \log U + (\log \log n)^2 + k)$ time, and the data structure of Afshani (ESA'08) that uses $O(n\log^{3} n)$ space and also supports queries in $O(\log \log U + (\log \log n)^2 + k)$ time but relies on randomization during the preprocessing stage. Our result allows us to significantly reduce the space usage of the fastest previously known static and incremental $d$-dimensional data structures, $d\geq 3$, at a cost of increasing the query time by a negligible $O(\log \log n)$ factor. | |
| dc.identifier | https://arxiv.org/abs/0806.4361 | |
| dc.identifier | http://arxiv.org/abs/0806.4361 | |
| dc.identifier.uri | http://salesiana.dossiersoluciones.com/handle/123456789/228112 | |
| dc.subject | Data Structures and Algorithms | |
| dc.subject | Computational Geometry | |
| dc.title | Space Efficient Multi-Dimensional Range Reporting | |
| dc.type | text |