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In computer science, a Judy array is a data structure implementing a type of associative array with high performance and low memory usage. [1] Unlike most other key-value stores, Judy arrays use no hashing, leverage compression on their keys (which may be integers or strings), and can efficiently represent sparse data; that is, they may have large ranges of unassigned indices without greatly ...
A data structure known as a hash table.. In computer science, a data structure is a data organization and storage format that is usually chosen for efficient access to data. [1] [2] [3] More precisely, a data structure is a collection of data values, the relationships among them, and the functions or operations that can be applied to the data, [4] i.e., it is an algebraic structure about data.
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Various implementations exist in different programming languages. In C++ it is part of the Standard Library since C++17 and Boost provides the generic Boyer–Moore search implementation under the Algorithm library. In Go (programming language) there is an implementation in search.go.
This is a list of well-known data structures. For a wider list of terms, see list of terms relating to algorithms and data structures. For a comparison of running times for a subset of this list see comparison of data structures.
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The C++ standard library is a collection of utilities that are shipped with C++ for use by any C++ programmer. It includes input and output, multi-threading, time, regular expressions, algorithms for common tasks, and less common ones (find, for_each, swap, etc.) and lists, maps and hash maps (and the equivalent for sets) and a class called vector that is a resizable array.