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  2. AVL tree - Wikipedia

    en.wikipedia.org/wiki/AVL_tree

    Fig. 1: AVL tree with balance factors (green) In computer science, an AVL tree (named after inventors Adelson-Velsky and Landis) is a self-balancing binary search tree. In an AVL tree, the heights of the two child subtrees of any node differ by at most one; if at any time they differ by more than one, rebalancing is done to restore this property.

  3. Georgy Adelson-Velsky - Wikipedia

    en.wikipedia.org/wiki/Georgy_Adelson-Velsky

    This was the first known balanced binary search tree data structure. [3] Beginning in 1963, Adelson-Velsky headed the development of a computer chess program at the Institute for Theoretical and Experimental Physics in Moscow. His innovations included the first use of bitboards (a now-common method for representing game positions) in computer ...

  4. WAVL tree - Wikipedia

    en.wikipedia.org/wiki/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 .

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  6. The First Tree - Wikipedia

    en.wikipedia.org/wiki/The_First_Tree

    Reception on the game was mixed in regards to its story and visuals, though reviewers were generally critical of the game's controls which were noted to be "clunky" or "stiff". [4] PC Gamer ' s Donnelly wrote that "Against the deluge of time-consuming, mentally-demanding games floating around at the moment, The First Tree is a nice change of pace."

  7. Order statistic tree - Wikipedia

    en.wikipedia.org/wiki/Order_statistic_tree

    To turn a regular search tree into an order statistic tree, the nodes of the tree need to store one additional value, which is the size of the subtree rooted at that node (i.e., the number of nodes below it). All operations that modify the tree must adjust this information to preserve the invariant that size[x] = size[left[x]] + size[right[x]] + 1

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