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  2. 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. [49]

  3. Comparison of programming languages (associative array)

    en.wikipedia.org/wiki/Comparison_of_programming...

    The user can search for elements in an associative array, and delete elements from the array. The following shows how multi-dimensional associative arrays can be simulated in standard AWK using concatenation and the built-in string-separator variable SUBSEP:

  4. Associative array - Wikipedia

    en.wikipedia.org/wiki/Associative_array

    The program can create a complete text representation of any group of objects by calling these methods, which are almost always already implemented in the base associative array class. [ 23 ] For programs that use very large data sets, this sort of individual file storage is not appropriate, and a database management system (DB) is required.

  5. Hash function - Wikipedia

    en.wikipedia.org/wiki/Hash_function

    In many applications, the range of hash values may be different for each run of the program or may change along the same run (for instance, when a hash table needs to be expanded). In those situations, one needs a hash function which takes two parameters—the input data z , and the number n of allowed hash values.

  6. Lookup table - Wikipedia

    en.wikipedia.org/wiki/Lookup_table

    LUTs differ from hash tables in a way that, to retrieve a value with key , a hash table would store the value in the slot () where is a hash function i.e. is used to compute the slot, while in the case of LUT, the value is stored in slot , thus directly addressable.

  7. Trie - Wikipedia

    en.wikipedia.org/wiki/Trie

    In computer science, a trie (/ ˈ t r aɪ /, / ˈ t r iː /), also known as a digital tree or prefix tree, [1] is a specialized search tree data structure used to store and retrieve strings from a dictionary or set. Unlike a binary search tree, nodes in a trie do not store their associated key.

  8. Retrieval Data Structure - Wikipedia

    en.wikipedia.org/wiki/Retrieval_Data_Structure

    A retrieval data structure can be used to construct a perfect hash function: First insert the keys into a cuckoo hash table with = hash functions and buckets of size 1. Then, for every key store the index of the hash function that lead to a key's insertion into the hash table in a r {\displaystyle r} -bit retrieval data structure D ...

  9. Unordered associative containers (C++) - Wikipedia

    en.wikipedia.org/wiki/Unordered_associative...

    Due to their usefulness, they were later included in several other implementations of the C++ Standard Library (e.g., the GNU Compiler Collection's (GCC) libstdc++ [2] and the Visual C++ (MSVC) standard library). The hash_* class templates were proposed into C++ Technical Report 1 (C++ TR1) and were accepted under names unordered_*. [3]