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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.
English: hash table illustration, with three keys, funcbox, sparse range, no collisions, only the values stored. Inspired on File:HASHTB32.svg and other similar images.
English: hash table illustration, with five keys, sparse range, collisions resolved by open addressing with linear probing, records in the bucket array, keys and values stored in the table. Inspired on File:HASHTB32.svg and other similar images.
English: Illustration of a hash function mapping four names to the integers 0..15, with one collision. Created by Jorge Stolfi/make-hash-table-figure v.2009-04-12 with parameters -nkeyw 4 -back 0 -funcbox 1 -sparse 1 -keys 0 -values 0 -collisions 1 -links 0 -overflow LL
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.
In computing, Chord is a protocol and algorithm for a peer-to-peer distributed hash table. A distributed hash table stores key-value pairs by assigning keys to different computers (known as "nodes"); a node will store the values for all the keys for which it is responsible. Chord specifies how keys are assigned to nodes, and how a node can ...
Graph (example Tree, Heap) Some properties of abstract data types: ... Distributed hash table; Double hashing; Dynamic perfect hash table; Hash array mapped trie;
The hash join is an example of a join algorithm and is used in the implementation of a relational database management system.All variants of hash join algorithms involve building hash tables from the tuples of one or both of the joined relations, and subsequently probing those tables so that only tuples with the same hash code need to be compared for equality in equijoins.