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. The dictionary problem is the classic problem of designing efficient data structures that implement associative arrays [2] the two major solutions to the dictionary problem are hash tables and search trees [3][4][5][6] it is sometimes also possible to solve the problem using directly addressed arrays, binary search trees, or other more. 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. [59] many other paradigms are supported via extensions, including design by contract [60][61] and logic programming In computer science, a linked data structure is a data structure which consists of a set of data records (nodes) linked together and organized by references (links or pointers) The link between data can also be called a connector In linked data structures, the links are usually treated as special data types that can only be dereferenced or compared for equality Comparison of data structures this is a comparison of the performance of notable data structures, as measured by the complexity of their logical operations
The comparisons in this article are organized by abstract data type. In computing, a persistent data structure or not ephemeral data structure is a data structure that always preserves the previous version of itself when it is modified The postman's sort is a variant of bucket sort that takes advantage of a hierarchical structure of elements, typically described by a set of attributes Mail is sorted first between domestic and international Then by state, province or territory
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