Title
Probabilistic behavior of hash tables
Abstract
We extend a result of Goldreich and Ron about estimating the collision probability of a hash function. Their estimate has a polynomial tail. We prove that when the load factor is greater than a certain constant, the estimator has a gaussian tail. As an application we find an estimate of an upper bound for the average search time in hashing with chaining, for a particular user (we allow the overall key distribution to be different from the key distribution of a particular user). The estimator has a gaussian tail.
Year
Venue
Keywords
2003
Clinical Orthopaedics and Related Research
key distribution,hash function,data structure,hash table,upper bound
Field
DocType
Volume
Primary clustering,Discrete mathematics,Double hashing,Rolling hash,Universal hashing,SUHA,K-independent hashing,Hash function,Mathematics,Dynamic perfect hashing
Journal
cs.DS/0303
Citations 
PageRank 
References 
0
0.34
0
Authors
3
Name
Order
Citations
PageRank
Dawei Hong18512.80
Jean-Camille Birget281559.09
Shushuang Man36110.13