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  2. Y-fast trie - Wikipedia

    en.wikipedia.org/wiki/Y-fast_trie

    An example of a y-fast trie. The nodes shown in the x-fast trie are the representatives of the O(n / log M) balanced binary search trees.. A y-fast trie consists of two data structures: the top half is an x-fast trie and the lower half consists of a number of balanced binary trees.

  3. Join-based tree algorithms - Wikipedia

    en.wikipedia.org/wiki/Join-based_tree_algorithms

    If the two trees are balanced, join simply creates a new node with left subtree t 1, root k and right subtree t 2. Suppose that t 1 is heavier (this "heavier" depends on the balancing scheme) than t 2 (the other case is symmetric). Join follows the right spine of t 1 until a node c which is balanced with t 2.

  4. Weight-balanced tree - Wikipedia

    en.wikipedia.org/wiki/Weight-balanced_tree

    Join: The function Join is on two weight-balanced trees t 1 and t 2 and a key k and will return a tree containing all elements in t 1, t 2 as well as k. It requires k to be greater than all keys in t 1 and smaller than all keys in t 2. If the two trees have the balanced weight, Join simply create a new node with left subtree t 1, root k and ...

  5. File:Height Balanced Binary Tree.pdf - Wikipedia

    en.wikipedia.org/wiki/File:Height_Balanced...

    English: Analysis of data structures, tree compared to hash and array based structures, height balanced tree compared to more perfectly balanced trees, a simple height balanced tree class with test code, comparable statistics for tree performance, statistics of worst case strictly-AVL-balanced trees versus perfect full binary trees.

  6. AA tree - Wikipedia

    en.wikipedia.org/wiki/AA_tree

    An AA tree in computer science is a form of balanced tree used for storing and retrieving ordered data efficiently. AA trees are named after their originator, Swedish computer scientist Arne Andersson. [1] AA trees are a variation of the red–black tree, a form of binary search tree which supports efficient addition and deletion of entries ...

  7. Self-balancing binary search tree - Wikipedia

    en.wikipedia.org/wiki/Self-balancing_binary...

    Most operations on a binary search tree (BST) take time directly proportional to the height of the tree, so it is desirable to keep the height small. A binary tree with height h can contain at most 2 0 +2 1 +···+2 h = 2 h+11 nodes. It follows that for any tree with n nodes and height h: + And that implies:

  8. Do the right thing, College Football Playoff committee: Boise ...

    www.aol.com/thing-college-football-playoff...

    Forget about random metrics and data points and the eye test, the prisoner of the moment a la carte for the College Football Playoff selection committee.

  9. Day–Stout–Warren algorithm - Wikipedia

    en.wikipedia.org/wiki/Day–Stout–Warren_algorithm

    [1] [note 1] It consists of a main routine with three subroutines. The main routine is given by Allocate a node, the "pseudo-root", and make the tree's actual root the right child of the pseudo-root. Call tree-to-vine with the pseudo-root as its argument. Call vine-to-tree on the pseudo-root and the size (number of elements) of the tree.