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  2. 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.

  3. Trie - Wikipedia

    en.wikipedia.org/wiki/Trie

    In computer science, a trie (/ ˈ t r aɪ /, / ˈ t r iː /), also known as a digital tree or prefix tree, [1] is a specialized search tree data structure used to store and retrieve strings from a dictionary or set. Unlike a binary search tree, nodes in a trie do not store their associated key.

  4. 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.

  5. 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. [1]: 162–163 The binary heap was introduced by J. W. J. Williams in 1964 as a data structure for implementing heapsort. [2]

  6. Heapsort - Wikipedia

    en.wikipedia.org/wiki/Heapsort

    The heapsort algorithm can be divided into two phases: heap construction, and heap extraction. The heap is an implicit data structure which takes no space beyond the array of objects to be sorted; the array is interpreted as a complete binary tree where each array element is a node and each node's parent and child links are defined by simple arithmetic on the array indexes.

  7. Tree traversal - Wikipedia

    en.wikipedia.org/wiki/Tree_traversal

    Depending on the problem at hand, pre-order, post-order, and especially one of the number of subtrees − 1 in-order operations may be optional. Also, in practice more than one of pre-order, post-order, and in-order operations may be required. For example, when inserting into a ternary tree, a pre-order operation is performed by comparing items.

  8. Binary tree - Wikipedia

    en.wikipedia.org/wiki/Binary_tree

    A tree whose root node has two subtrees, both of which are full binary trees. A perfect binary tree is a binary tree in which all interior nodes have two children and all leaves have the same depth or same level (the level of a node defined as the number of edges or links from the root node to a node). [18] A perfect binary tree is a full ...

  9. Cartesian tree - Wikipedia

    en.wikipedia.org/wiki/Cartesian_tree

    Cartesian trees are defined using binary trees, which are a form of rooted tree.To construct the Cartesian tree for a given sequence of distinct numbers, set its root to be the minimum number in the sequence, [1] and recursively construct its left and right subtrees from the subsequences before and after this number, respectively.