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  2. List of hash functions - Wikipedia

    en.wikipedia.org/wiki/List_of_hash_functions

    Jenkins hash function: 32 or 64 bits XOR/addition Bernstein's hash djb2 [2] 32 or 64 bits shift/add or mult/add or shift/add/xor or mult/xor PJW hash / Elf Hash: 32 or 64 bits add,shift,xor MurmurHash: 32, 64, or 128 bits product/rotation Fast-Hash [3] 32 or 64 bits xorshift operations SpookyHash 32, 64, or 128 bits see Jenkins hash function ...

  3. Perfect hash function - Wikipedia

    en.wikipedia.org/wiki/Perfect_hash_function

    A perfect hash function for the four names shown A minimal perfect hash function for the four names shown. In computer science, a perfect hash function h for a set S is a hash function that maps distinct elements in S to a set of m integers, with no collisions. In mathematical terms, it is an injective function.

  4. Comparison of cryptographic hash functions - Wikipedia

    en.wikipedia.org/wiki/Comparison_of...

    The following tables compare general and technical information for a number of cryptographic hash functions. See the individual functions' articles for further information. This article is not all-inclusive or necessarily up-to-date. An overview of hash function security/cryptanalysis can be found at hash function security summary.

  5. Hash function - Wikipedia

    en.wikipedia.org/wiki/Hash_function

    A universal hashing scheme is a randomized algorithm that selects a hash function h among a family of such functions, in such a way that the probability of a collision of any two distinct keys is 1/m, where m is the number of distinct hash values desired—independently of the two keys. Universal hashing ensures (in a probabilistic sense) that ...

  6. Universal hashing - Wikipedia

    en.wikipedia.org/wiki/Universal_hashing

    Furthermore, a deterministic hash function does not allow for rehashing: sometimes the input data turns out to be bad for the hash function (e.g. there are too many collisions), so one would like to change the hash function. The solution to these problems is to pick a function randomly from a family of hash functions.

  7. MurmurHash - Wikipedia

    en.wikipedia.org/wiki/MurmurHash

    MurmurHash is a non-cryptographic hash function suitable for general hash-based lookup. [1] [2] [3] It was created by Austin Appleby in 2008 [4] and, as of 8 January 2016, [5] is hosted on GitHub along with its test suite named SMHasher. It also exists in a number of variants, [6] all of which have been released into the public domain. The name ...

  8. Hopscotch hashing - Wikipedia

    en.wikipedia.org/wiki/Hopscotch_hashing

    Hopscotch hashing is a scheme in computer programming for resolving hash collisions of values of hash functions in a table using open addressing. It is also well suited for implementing a concurrent hash table. Hopscotch hashing was introduced by Maurice Herlihy, Nir Shavit and Moran Tzafrir in 2008. [1]

  9. Quark (hash function) - Wikipedia

    en.wikipedia.org/wiki/Quark_(hash_function)

    The SHA-3 NIST hash function competition concerned general-purpose designs and focused on software performance. Quark is a lightweight hash function, based on a single security level and on the sponge construction, to minimize memory requirements. Inspired by the lightweight ciphers Grain and KATAN, the hash function family Quark is composed of ...