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  2. Associative array - Wikipedia

    en.wikipedia.org/wiki/Associative_array

    find the value (if any) that is bound to a given key. The argument to this operation is the key, and the value is returned from the operation. If no value is found, some lookup functions raise an exception, while others return a default value (such as zero, null, or a specific value passed to the constructor).

  3. Hash table - Wikipedia

    en.wikipedia.org/wiki/Hash_table

    In JavaScript, an "object" is a mutable collection of key-value pairs (called "properties"), where each key is either a string or a guaranteed-unique "symbol"; any other value, when used as a key, is first coerced to a string. Aside from the seven "primitive" data types, every value in JavaScript is an object. [50]

  4. Linear probing - Wikipedia

    en.wikipedia.org/wiki/Linear_probing

    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 keyvalue pairs subject to operations that insert or delete pairs from the collection or that search for the value associated with a given key.

  5. Hash function - Wikipedia

    en.wikipedia.org/wiki/Hash_function

    Standard multiplicative hashing uses the formula h a (K) = ⌊ (aK mod W) / (W/M) ⌋, which produces a hash value in {0, …, M − 1}. The value a is an appropriately chosen value that should be relatively prime to W; it should be large, [clarification needed] and its binary representation a random mix [clarification needed] of 1s and 0s.

  6. Cuckoo hashing - Wikipedia

    en.wikipedia.org/wiki/Cuckoo_hashing

    Cuckoo hashing is a form of open addressing in which each non-empty cell of a hash table contains a key or keyvalue pair.A hash function is used to determine the location for each key, and its presence in the table (or the value associated with it) can be found by examining that cell of the table.

  7. Levenshtein distance - Wikipedia

    en.wikipedia.org/wiki/Levenshtein_distance

    In information theory, linguistics, and computer science, the Levenshtein distance is a string metric for measuring the difference between two sequences. The Levenshtein distance between two words is the minimum number of single-character edits (insertions, deletions or substitutions) required to change one word into the other.

  8. Distributed hash table - Wikipedia

    en.wikipedia.org/wiki/Distributed_hash_table

    For example, key k could be the node ID and associated data could describe how to contact this node. This allows publication-of-presence information and often used in IM applications, etc. In the simplest case, ID is just a random number that is directly used as key k (so in a 160-bit DHT ID will be a 160-bit number, usually randomly chosen ...

  9. Bidirectional map - Wikipedia

    en.wikipedia.org/wiki/Bidirectional_map

    A pair (,) thus provides a unique coupling between and so that can be found when is used as a key and can be found when is used as a key. Mathematically, a bidirectional map can be defined a bijection f : X → Y {\displaystyle f:X\to Y} between two different sets of keys X {\displaystyle X} and Y {\displaystyle Y} of equal cardinality , thus ...