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The NIST Dictionary of Algorithms and Data Structures [1] is a reference work maintained by the U.S. National Institute of Standards and Technology. It defines a large number of terms relating to algorithms and data structures. For algorithms and data structures not necessarily mentioned here, see list of algorithms and list of data structures.
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.
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.
data structure A data organization, management, and storage format that enables efficient access and modification. [91] [92] [93] 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. [94] data type. Also simply type.
ETH Zurich / N. Wirth / Books / Compilerbau: Algorithms + Data Structures = Programs (archive.org link) N. Wirth, Algorithms and Data Structures (1985 edition, updated for Oberon in August 2004. Pdf at ETH Zurich) (archive.org link) Wirth, Niklaus (2004) [updated 2014]. Algorithms and Data Structures (PDF). Oberon version with corrections and ...
Formally, a purely functional data structure is a data structure which can be implemented in a purely functional language, such as Haskell. In practice, it means that the data structures must be built using only persistent data structures such as tuples, sum types, product types, and basic types such as integers, characters, strings. Such a ...
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The initial core of the book was M.I.Shamos' doctoral dissertation, which was suggested to turn into a book by a yet another pioneer in the field, Ronald Graham. The introduction covers the history of the field, basic data structures, and necessary notions from the theory of computation and geometry.
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