Worst-Case Efficient Range Search Indexing
Summary: Survey of worst-case optimal external-memory orthogonal range indexing: covers B-tree variants for 1D, external priority search trees, range trees (B-tree I/Os but superlinear space) and linear-space kdB-/O-trees. Discusses indexability lower bounds proving optimal query/space trade-offs, extensions to higher dimensions, and R-tree variants for rectangle objects. (summarized by gpt-5-mini on Feb 09 2026)
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Authors
- 1. Lars Arge (Aarhus University; Center for Massive Data Algorithmics)
BibTeX Citation
@inproceedings{arge_pods09,
address = {New York, NY, USA},
series = {{PODS} '09},
title = {{Worst-Case Efficient Range Search Indexing}},
url = {https://dl.acm.org/doi/10.1145/1559795.1559822},
doi = {10.1145/1559795.1559822},
booktitle = {Proceedings of the {ACM} {SIGMOD} Symposium on {Principles} of {Database} {Systems}},
publisher = {Association for Computing Machinery},
author = {Arge, Lars},
year = {2009}
}
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 2 | R-Trees: A Dynamic Index Structure For Spatial Searching | 1984 | SIGMOD | 0.0020210012 |
| 8 | The K-D-B-Tree: A Search Structure for Large Multidimensional Dynamic Indexes | 1981 | SIGMOD | 0.00082404462 |
| 1,529 | On Two-Dimensional Indexability and Optimal Range Search Indexing (Extended Abstract) | 1999 | PODS | 0.00010482997 |
| 3,593 | The Priority R-Tree: A Practically Efficient and Worst-Case Optimal R-Tree | 2004 | SIGMOD | 7.2750277e-05 |
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