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  2. Binary heap - Wikipedia

    en.wikipedia.org/wiki/Binary_heap

    Example of a complete binary max-heap Example of a complete binary min 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.

  3. 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.

  4. 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]

  5. d-ary heap - Wikipedia

    en.wikipedia.org/wiki/D-ary_heap

    The d-ary heap consists of an array of n items, each of which has a priority associated with it. These items may be viewed as the nodes in a complete d-ary tree, listed in breadth first traversal order: the item at position 0 of the array (using zero-based numbering) forms the root of the tree, the items at positions 1 through d are its children, the next d 2 items are its grandchildren, etc.

  6. Tree (abstract data type) - Wikipedia

    en.wikipedia.org/wiki/Tree_(abstract_data_type)

    The height of a node is the length of the longest downward path to a leaf from that node. The height of the root is the height of the tree. The depth of a node is the length of the path to its root (i.e., its root path). Thus the root node has depth zero, leaf nodes have height zero, and a tree with only a single node (hence both a root and ...

  7. 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.

  8. Skew heap - Wikipedia

    en.wikipedia.org/wiki/Skew_heap

    The general heap order must be enforced; Every operation (add, remove_min, merge) on two skew heaps must be done using a special skew heap merge. A skew heap is a self-adjusting form of a leftist heap which attempts to maintain balance by unconditionally swapping all nodes in the merge path when merging two heaps. (The merge operation is also ...

  9. Heap (mathematics) - Wikipedia

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

    The heap of a group may be generalized again to the case of a groupoid which has two objects A and B when viewed as a category. The elements of the heap may be identified with the morphisms from A to B, such that three morphisms x , y , z define a heap operation according to [ x , y , z ] = x y − 1 z . {\displaystyle [x,y,z]=xy^{-1}z.}

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