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  2. AVL tree - Wikipedia

    en.wikipedia.org/wiki/AVL_tree

    The AVL tree is named after its two Soviet inventors, Georgy Adelson-Velsky and Evgenii Landis, who published it in their 1962 paper "An algorithm for the organization of information". [2] It is the oldest self-balancing binary search tree data structure to be invented. [3]

  3. Red–black tree - Wikipedia

    en.wikipedia.org/wiki/Red–black_tree

    The worst-case height of AVL is 0.720 times the worst-case height of red-black trees, so AVL trees are more rigidly balanced. The performance measurements of Ben Pfaff with realistic test cases in 79 runs find AVL to RB ratios between 0.677 and 1.077, median at 0.947, and geometric mean 0.910. [22] The performance of WAVL trees lie in between ...

  4. Trie - Wikipedia

    en.wikipedia.org/wiki/Trie

    Each complete English word has an arbitrary integer value associated with it. In computer science, a trie (/ ˈtraɪ /, / ˈtriː /), also called digital tree or prefix tree, [ 1 ] is a type of search tree: specifically, a k -ary tree data structure used for locating specific keys from within a set. These keys are most often strings, with links ...

  5. WAVL tree - Wikipedia

    en.wikipedia.org/wiki/WAVL_tree

    WAVL tree. In computer science, a WAVL tree or weak AVL tree is a self-balancing binary search tree. WAVL trees are named after AVL trees, another type of balanced search tree, and are closely related both to AVL trees and red–black trees, which all fall into a common framework of rank balanced trees. Like other balanced binary search trees ...

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    mail.aol.com

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  7. Tree (graph theory) - Wikipedia

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

    v − 1. Chromatic number. 2 if v > 1. Table of graphs and parameters. In graph theory, a tree is an undirected graph in which any two vertices are connected by exactly one path, or equivalently a connected acyclic undirected graph. [1] A forest is an undirected graph in which any two vertices are connected by at most one path, or equivalently ...