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Tight Bounds for Classical Open Addressing

  • Carnegie Mellon University

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Scopus citations

Abstract

We introduce a classical open-addressed hash table, called rainbow hashing, that supports a load factor of up to 1 -ϵ, while also supporting O(1) expected-time queries, and O(log, log {ϵ-1t) expected-time insertions and deletions. We further prove that this tradeoff curve is optimal: any classical open-addressed hash table that supports load factor 1-ϵ must incur Ω (log, log{ϵ-1t) expected time per operation. Finally, we extend rainbow hashing to the setting where the hash table is dynamically resized over time. Surprisingly, the addition of dynamic resizing does not come at any time cost-even while maintaining a load factor of ≥ 1-ϵ at all times, we can support O(1) queries and O(log, log {ϵ-1t) updates. Prior to our work, achieving any time bounds of the form o(ϵ-1) for all of insertions, deletions, and queries simultaneously remained an open Question.

Original languageEnglish
Title of host publicationProceedings - 2024 IEEE 65th Annual Symposium on Foundations of Computer Science, FOCS 2024
PublisherIEEE Computer Society
Pages636-657
Number of pages22
ISBN (Electronic)9798331516741
DOIs
StatePublished - 2024
Event65th IEEE Annual Symposium on Foundations of Computer Science, FOCS 2024 - Chicago, United States
Duration: Oct 27 2024Oct 30 2024

Publication series

NameProceedings - Annual IEEE Symposium on Foundations of Computer Science, FOCS

Conference

Conference65th IEEE Annual Symposium on Foundations of Computer Science, FOCS 2024
Country/TerritoryUnited States
CityChicago
Period10/27/2410/30/24

Keywords

  • data structures
  • dictionary
  • hash table
  • open addressing

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