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  2. Binary heap - Wikipedia

    en.wikipedia.org/wiki/Binary_heap

    A binary heap is a heap data structure that takes the form of a binary tree. Binary heaps are a common way of implementing priority queues. [ 1 ]: 162–163 The binary heap was introduced by J. W. J. Williams in 1964, as a data structure for heapsort. [ 2 ]

  3. Heap (data structure) - Wikipedia

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

    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 a parent node of C, then the key (the value) of P is greater than or equal to the key of C. In a min heap, the key of P is less than or equal to the key of C. [1] The node at the "top" of the heap (with no ...

  4. Heapsort - Wikipedia

    en.wikipedia.org/wiki/Heapsort

    In computer science, heapsort is a comparison-based sorting algorithm which can be thought of as "an implementation of selection sort using the right data structure." [3] Like selection sort, heapsort divides its input into a sorted and an unsorted region, and it iteratively shrinks the unsorted region by extracting the largest element from it and inserting it into the sorted region.

  5. Min-max heap - Wikipedia

    en.wikipedia.org/wiki/Min-max_heap

    Description. A min-max heap is a complete binary tree containing alternating min (or even) and max (or odd) levels. Even levels are for example 0, 2, 4, etc, and odd levels are respectively 1, 3, 5, etc. We assume in the next points that the root element is at the first level, i.e., 0. Example of Min-max heap.

  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. Weak heap - Wikipedia

    en.wikipedia.org/wiki/Weak_heap

    A weak heap is most easily understood as a heap-ordered multi-way tree stored as a binary tree using the "right-child left-sibling" convention. (This is equivalent to, but reversed from, the usual left-child right-sibling binary tree.) In the multi-way tree, and assuming a max-heap, each parent's key is greater than or equal to (≥) all the ...

  8. d-ary heap - Wikipedia

    en.wikipedia.org/wiki/D-ary_heap

    d. -ary heap. The d-ary heap or d-heap is a priority queue data structure, a generalization of the binary heap in which the nodes have d children instead of 2. [1][2][3] Thus, a binary heap is a 2-heap, and a ternary heap is a 3-heap. According to Tarjan [2] and Jensen et al., [4] d -ary heaps were invented by Donald B. Johnson in 1975.

  9. Pairing heap - Wikipedia

    en.wikipedia.org/wiki/Pairing_heap

    Pairing heap. A pairing heap is a type of heap data structure with relatively simple implementation and excellent practical amortized performance, introduced by Michael Fredman, Robert Sedgewick, Daniel Sleator, and Robert Tarjan in 1986. [1] Pairing heaps are heap-ordered multiway tree structures, and can be considered simplified Fibonacci heaps.