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  2. 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

  3. 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.

  4. Day–Stout–Warren algorithm - Wikipedia

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

    First, the tree is turned into a linked list by means of an in-order traversal, reusing the pointers in the tree's nodes. A series of left-rotations forms the second phase. [3] The Stout–Warren modification generates a complete binary tree, namely one in which the bottom-most level is filled strictly from left to right.

  5. 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.

  6. AA tree - Wikipedia

    en.wikipedia.org/wiki/AA_tree

    While an AA tree makes more rotations than a red–black tree, the simpler algorithms tend to be faster, and all of this balances out to result in similar performance. A red–black tree is more consistent in its performance than an AA tree, but an AA tree tends to be flatter, which results in slightly faster search times. [2]

  7. Scapegoat tree - Wikipedia

    en.wikipedia.org/wiki/Scapegoat_tree

    Lookup is not modified from a standard binary search tree, and has a worst-case time of (⁡).This is in contrast to splay trees which have a worst-case time of ().The reduced node memory overhead compared to other self-balancing binary search trees can further improve locality of reference and caching.

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  9. Weight-balanced tree - Wikipedia

    en.wikipedia.org/wiki/Weight-balanced_tree

    A weight-balanced tree is a binary search tree that stores the sizes of subtrees in the nodes. That is, a node has fields key, of any ordered type; value (optional, only for mappings) left, right, pointer to node; size, of type integer. By definition, the size of a leaf (typically represented by a nil pointer) is zero.