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Group Updates for Relaxed Height-Balanced Trees

Summary: Two-phase algorithm for sorted batch updates into height-balanced BSTs: eagerly apply updates without global rebalancing (only local subgroups between adjacent original keys) to keep O(log n) searches. Background local rebalancing restores height-balance with comparable cost. (summarized by gpt-5-mini on Feb 09 2026)

Paper ID
1188
Venue
PODS
Year
1999
Pagerank
5.093636e-05
Overall Rank
12,901 | 11.49%
DOI
10.1145/303976.304011

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BibTeX Citation

@inproceedings{malmi_pods99,
        address = {New York, NY, USA},
        series = {{PODS} '99},
        title = {{Group Updates for Relaxed Height-Balanced Trees}},
        url = {https://dl.acm.org/doi/10.1145/303976.304011},
        doi = {10.1145/303976.304011},
        booktitle = {Proceedings of the {ACM} {SIGMOD} Symposium on {Principles} of {Database} {Systems}},
        publisher = {Association for Computing Machinery},
        author = {Malmi, Lauri and Soisalon-Soininen, Eljas},
        year = {1999}
}

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