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2023-09-21

Bounds for c-Ideal Hashing.

Summary

In this paper, we analyze hashing from a worst-case perspective. To this end, we study a new property of hash families that is strongly related to d-perfect hashing, namely c-ideality. On the one hand, this notion generalizes the definition of perfect hashing, which has been studied extensively; on the other hand, it provides a direct link to the notion of c-approximativity. We focus on the usually neglected case where the average load is at least 1 and prove upper and lower parametrized bounds on the minimal size of c-ideal hash families. As an aside, we show how c-ideality helps to analyze the advice complexity of hashing. The concept of advice, introduced a decade ago, lets us measure the information content of an online problem. We prove hashing’s advice complexity to be linear in the hash table size.

Conference Paper

International Symposium on Fundamentals of Computation Theory (FCT)

Date published

2023-09-21

Date last modified

2024-04-03