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  2. Binary heap - Wikipedia

    en.wikipedia.org/wiki/Binary_heap

    A binary heap is defined as a binary tree with two additional constraints: [3] Shape property: a binary heap is a complete binary tree; that is, all levels of the tree, except possibly the last one (deepest) are fully filled, and, if the last level of the tree is not complete, the nodes of that level are filled from left to right.

  3. Heap (data structure) - Wikipedia

    en.wikipedia.org/wiki/Heap_(data_structure)

    A heap is a useful data structure when it is necessary to repeatedly remove the object with the highest (or lowest) priority, or when insertions need to be interspersed with removals of the root node. A common implementation of a heap is the binary heap, in which the tree is a complete [2] binary tree (see figure).

  4. Min-max heap - Wikipedia

    en.wikipedia.org/wiki/Min-max_heap

    This makes the min-max heap a very useful data structure to implement a double-ended priority queue. Like binary min-heaps and max-heaps, min-max heaps support logarithmic insertion and deletion and can be built in linear time. [3] Min-max heaps are often represented implicitly in an array; [4] hence it's referred to as an implicit data structure.

  5. Dijkstra's algorithm - Wikipedia

    en.wikipedia.org/wiki/Dijkstra's_algorithm

    For sparse graphs, that is, graphs with far fewer than | | edges, Dijkstra's algorithm can be implemented more efficiently by storing the graph in the form of adjacency lists and using a self-balancing binary search tree, binary heap, pairing heap, Fibonacci heap or a priority heap as a priority queue to implement extracting minimum efficiently.

  6. B-heap - Wikipedia

    en.wikipedia.org/wiki/B-heap

    A B-heap is a binary heap implemented to keep subtrees in a single page. This reduces the number of pages accessed by up to a factor of ten for big heaps when using virtual memory, compared with the traditional implementation. [1] The traditional mapping of elements to locations in an array puts almost every level in a different page.

  7. List of terms relating to algorithms and data structures

    en.wikipedia.org/wiki/List_of_terms_relating_to...

    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.

  8. Database storage structures - Wikipedia

    en.wikipedia.org/wiki/Database_storage_structures

    Heap files are lists of unordered records of variable size. Although sharing a similar name, heap files are widely different from in-memory heaps. In-memory heaps are ordered, as opposed to heap files. Simplest and most basic method insert efficient, with new records added at the end of the file, providing chronological order

  9. List of data structures - Wikipedia

    en.wikipedia.org/wiki/List_of_data_structures

    Fixed-point representation of the rationals; Integer, a direct representation of either the integers or the non-negative integers; Reference, sometimes erroneously referred to as a pointer or handle, is a value that refers to another value, possibly including itself; Symbol, a unique identifier; Enumerated type, a set of symbols