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In a well-dimensioned hash table, the average time complexity for each lookup is independent of the number of elements stored in the table. Many hash table designs also allow arbitrary insertions and deletions of key–value pairs, at amortized constant average cost per operation. [3] [4] [5] Hashing is an example of a space-time tradeoff.
Linear probing is a component of open addressing schemes for using a hash table to solve the dictionary problem.In the dictionary problem, a data structure should maintain a collection of key–value pairs subject to operations that insert or delete pairs from the collection or that search for the value associated with a given key.
Graf & Lemire (2020) describes an approach called an xor filter, where they store fingerprints in a particular type of perfect hash table, producing a filter which is more memory efficient ( (/) bits per key) and faster than Bloom or cuckoo filters. (The time saving comes from the fact that a lookup requires exactly three memory accesses ...
Quadratic probing is an open addressing scheme in computer programming for resolving hash collisions in hash tables. Quadratic probing operates by taking the original hash index and adding successive values of an arbitrary quadratic polynomial until an open slot is found. An example sequence using quadratic probing is: +, +, +, +,...
A hash table, or more generally any kind of associative array, may be used to map square contents to an already existing node representing those contents, so that one through the technique of hash consing may avoid creating a duplicate node representing those contents. If this is applied consistently then it is sufficient to hash the four ...
A concurrent hash table or concurrent hash map is an implementation of hash tables allowing concurrent access by multiple threads using a hash function. [ 1 ] [ 2 ] Concurrent hash tables represent a key concurrent data structure for use in concurrent computing which allow multiple threads to more efficiently cooperate for a computation among ...
Rainbow tables are a practical example of a space–time tradeoff: they use less computer processing time and more storage than a brute-force attack which calculates a hash on every attempt, but more processing time and less storage than a simple table that stores the hash of every possible password.
Several real-world DHTs use 128-bit or 160-bit key space. Some real-world DHTs use hash functions other than SHA-1. In the real world the key k could be a hash of a file's content rather than a hash of a file's name to provide content-addressable storage, so that renaming of the file does not prevent users from finding it.