Abstract
In this paper an efficient open address hash function called exponential hashing is developed. The motivation for this hash function resulted from our ongoing efforts to apply dynamical systems theory to the study of hashing; however, the analysis conducted in this paper is primarily based on traditional number theory. Proofs of optimal table parameter choices are provided for a number of hash functions. We also demonstrate experimentally that exponential hashing essentially matches the performance of a widely-used optimal double hash function for uniform data distributions, and performs significantly better for nonuniform data distributions. We show that exponential hashing exhibits a higher integer Lyapunov exponent and entropy than double hashing for initial data probes, which offers one explanation for its improved performance on nonuniform data distributions. Categories and Subject Descriptors: R.1 [Data Structures]: tables; E.2 [Data Storage Representation]: hash-table representations; H.3.3 [Information Storage and Retrieval]: Information Storage and Retrieval.
Original language | English (US) |
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Pages (from-to) | 3 |
Number of pages | 1 |
Journal | ACM Journal of Experimental Algorithmics |
Volume | 2 |
DOIs | |
State | Published - Jan 1 1997 |
Externally published | Yes |
Keywords
- Algorithms
- Chaos
- Lyapunov exponent
- dynamic dictionary ADT
- dynamical systems theory
- exponential hashing
- number theory
ASJC Scopus subject areas
- Theoretical Computer Science