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A load factor is a critical statistic of a hash table, and is defined as follows: [2] =, where n {\displaystyle n} is the number of entries occupied in the hash table. m {\displaystyle m} is the number of buckets.
A critical influence on performance of an open addressing hash table is the load factor; that is, the proportion of the slots in the array that are used. As the load factor increases towards 100%, the number of probes that may be required to find or insert a given key rises dramatically.
Setting this threshold close to zero and using a high growth rate for the table size leads to faster hash table operations but greater memory usage than threshold values close to one and low growth rates. A common choice would be to double the table size when the load factor would exceed 1/2, causing the load factor to stay between 1/4 and 1/2. [5]
When the load factor surpasses a set threshold, the split pointer's designated bucket is split. Instead of using the load factor, this threshold can also be expressed as an occupancy percentage, in which case, the maximum number of records in the hash index equals (occupancy percentage)*(max records per non-overflowed bucket)*(number of buckets ...
Another generalization of cuckoo hashing called blocked cuckoo hashing uses more than one key per bucket and a balanced allocation scheme. Using just 2 keys per bucket permits a load factor above 80%. [8] Another variation of cuckoo hashing that has been studied is cuckoo hashing with a stash. The stash, in this data structure, is an array of a ...
Double hashing is a computer programming technique used in conjunction with open addressing in hash tables to resolve hash collisions, ... 's load factor is ...
A universal hashing scheme is a randomized algorithm that selects a hash function h among a family of such functions, ... where α is the load factor, n/m. [25] History
In computer science, SUHA (Simple Uniform Hashing Assumption) is a basic assumption that facilitates the mathematical analysis of hash tables.The assumption states that a hypothetical hashing function will evenly distribute items into the slots of a hash table.