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  2. Heap (data structure) - Wikipedia

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

    Example of a binary max-heap with node keys being integers between 1 and 100. In computer science, a heap is a tree-based data structure that satisfies the heap property: In a max heap, for any given node C, if P is the parent node of C, then the key (the value) of P is greater than or equal to the key of C.

  3. J. W. J. Williams - Wikipedia

    en.wikipedia.org/wiki/J._W._J._Williams

    In 1952, he received a B.Sc. in mathematics from King's College, University of London. [9]In England, he worked as a programmer for Elliot Automation, [9] formerly Elliot Brothers (London) Limited, where he invented heapsort and used it to create the event-driven Elliott Simulator Package (ESP) with the help of C. A. R. (Tony) Hoare.

  4. 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.

  5. Category:Heaps (data structures) - Wikipedia

    en.wikipedia.org/wiki/Category:Heaps_(data...

    A heap is a tree data structure with ordered nodes where the min (or max) value is the root of the tree and all children are less than (or greater than) their parent nodes. Pages in category "Heaps (data structures)"

  6. Treap - Wikipedia

    en.wikipedia.org/wiki/Treap

    A treap with alphabetic key and numeric max heap order. The treap was first described by Raimund Seidel and Cecilia R. Aragon in 1989; [1] [2] its name is a portmanteau of tree and heap. It is a Cartesian tree in which each key is given a (randomly chosen) numeric priority.

  7. Min-max heap - Wikipedia

    en.wikipedia.org/wiki/Min-max_heap

    In computer science, a min-max heap is a complete binary tree data structure which combines the usefulness of both a min-heap and a max-heap, that is, it provides constant time retrieval and logarithmic time removal of both the minimum and maximum elements in it. [2]

  8. 2–3 heap - Wikipedia

    en.wikipedia.org/wiki/2–3_heap

    In computer science, a 2–3 heap is a data structure, a variation on the heap, designed by Tadao Takaoka in 1999. The structure is similar to the Fibonacci heap, and borrows from the 2–3 tree. Time costs for some common heap operations are: Delete-min takes (⁡ ()) amortized time and in the worst case.

  9. Leftist tree - Wikipedia

    en.wikipedia.org/wiki/Leftist_tree

    The height-biased leftist tree was invented by Clark Allan Crane. [2] The name comes from the fact that the left subtree is usually taller than the right subtree. A leftist tree is a mergeable heap. When inserting a new node into a tree, a new one-node tree is created and merged into the existing tree.