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  2. Data structure - Wikipedia

    en.wikipedia.org/wiki/Data_structure

    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.

  3. Quadtree - Wikipedia

    en.wikipedia.org/wiki/Quadtree

    The data associated with a leaf cell varies by application, but the leaf cell represents a "unit of interesting spatial information". The subdivided regions may be square or rectangular, or may have arbitrary shapes. This data structure was named a quadtree by Raphael Finkel and J.L. Bentley in 1974. [1] A similar partitioning is also known as ...

  4. Depth-first search - Wikipedia

    en.wikipedia.org/wiki/Depth-first_search

    no (does not generally find shortest paths) Depth-first search (DFS) is an algorithm for traversing or searching tree or graph data structures. The algorithm starts at the root node (selecting some arbitrary node as the root node in the case of a graph) and explores as far as possible along each branch before backtracking.

  5. Algorithms + Data Structures = Programs - Wikipedia

    en.wikipedia.org/wiki/Algorithms_+_Data...

    Pages. 392. Algorithms + Data Structures = Programs[1] is a 1976 book written by Niklaus Wirth covering some of the fundamental topics of system engineering, computer programming, particularly that algorithms and data structures are inherently related. For example, if one has a sorted list one will use a search algorithm optimal for sorted lists.

  6. Disjoint-set data structure - Wikipedia

    en.wikipedia.org/wiki/Disjoint-set_data_structure

    O(n)[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. It provides operations for adding new sets, merging sets (replacing them ...

  7. List of data structures - Wikipedia

    en.wikipedia.org/wiki/List_of_data_structures

    Multiset (bag) Stack. Queue (example Priority queue) Double-ended queue. Graph (example Tree, Heap) Some properties of abstract data types: This article needs attention from an expert in Computer science. The specific problem is: further features needed. WikiProject Computer science may be able to help recruit an expert.

  8. Recursion (computer science) - Wikipedia

    en.wikipedia.org/wiki/Recursion_(computer_science)

    Recursion is a technique for representing data whose exact size is unknown to the programmer: the programmer can specify this data with a self-referentialdefinition. There are two types of self-referential definitions: inductive and coinductivedefinitions. Further information: Algebraic data type.

  9. k-d tree - Wikipedia

    en.wikipedia.org/wiki/K-d_tree

    In computer science, a k-d tree (short for k-dimensional tree) is a space-partitioning data structure for organizing points in a k-dimensional space. K-dimensional is that which concerns exactly k orthogonal axes or a space of any number of dimensions. [1] k-d trees are a useful data structure for several applications, such as: