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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)

Paper ID
1488
Venue
PODS
Year
2009
Pagerank
5.093636e-05
Overall Rank
12,489 | 14.32%
DOI
10.1145/1559795.1559822

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Authors

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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