Finding succinct ordered minimal perfect hashing functions

An ordered minimal perfect hash table is one in which no collisions occur among a predefined set of keys, no space is unused, and the data are placed in the table in order. A new method for creating ordered minimal perfect hashing functions is presented. The method presented is based on a method developed by Fox, Heath, Daoud, and Chen, but it creates hash functions with representation space requirements closer to the theoretical lower bound. The method presented requires approximately 10% less space to represent generated hash functions, and is easier to implement than Fox et al's. However, a higher time complexity makes it practical for small sets only (< 1000)

Comparison of Perfect Hashing Methods

This study was conducted to compare two minimal perfect hashing method Chang's method and Jaeschke's method. Since hashing is a widely used technique for store data in symbol table and the data are strings of characters, this study f use on the performance of these methods with the letter-oriented set and gives their run time performance curves. Through the analysis of run time and space complexity, an optimal method is given to make each algorithm performance well