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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 ...
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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.
The Lisp Machine Manual describes the Lisp Machine Lisp language in detail. [1] [2] The manual was popularly termed the Chine Nual, because the full title was printed across the front and back covers such that only those letters appeared on the front. [3] This name is sometimes further abbreviated by blending the two words into Chinual.
Here are time complexities [5] of various heap data structures. The abbreviation am. indicates that the given complexity is amortized, otherwise it is a worst-case complexity. For the meaning of "O(f)" and "Θ(f)" see Big O notation. Names of operations assume a max-heap.
Structure and Interpretation of Computer Programs (SICP) is a computer science textbook by Massachusetts Institute of Technology professors Harold Abelson and Gerald Jay Sussman with Julie Sussman. It is known as the "Wizard Book" in hacker culture . [ 1 ]
In computer science, a disjoint-set data structure, also called a union–find data structure or merge–find set, is a data structure that stores a collection of disjoint (non-overlapping) sets. Equivalently, it stores a partition of a set into disjoint subsets .
Data models provide a framework for data to be used within information systems by providing specific definitions and formats. If a data model is used consistently across systems then compatibility of data can be achieved. If the same data structures are used to store and access data then different applications can share data seamlessly.