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It includes left, right, left-right and right-left rotations. 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 ...
A double left rotation at X can be defined to be a right rotation at the right child of X followed by a left rotation at X; similarly, a double right rotation at X can be defined to be a left rotation at the left child of X followed by a right rotation at X. Tree rotations are used in a number of tree data structures such as AVL trees, red ...
Right rotations (and left) are order preserving in a binary search tree; it preserves the binary search tree property (an in-order traversal of the tree will yield the keys of the nodes in proper order). AVL trees and red–black trees are two examples of binary search trees that use a right rotation. A single right rotation is done in O(1 ...
The depth of a tree is the maximum depth of any vertex. Depth is commonly needed in the manipulation of the various self-balancing trees, AVL trees in particular. The root has depth zero, leaves have height zero, and a tree with only a single vertex (hence both a root and leaf) has depth and height zero.
Self-balancing binary trees solve this problem by performing transformations on the tree (such as tree rotations) at key insertion times, in order to keep the height proportional to log 2 (n). Although a certain overhead is involved, it is not bigger than the always necessary lookup cost and may be justified by ensuring fast execution of all ...
After deleting a node, I end up with a unbalanced tree that can be fixed with wither a right-right followed by right-left rotation or only a right-left rotation. Which one should I choose? To get the situation: Draw the tree by inserting {1, 3, 2, 4} (without rotating for balance).
Luckily, there's a surefire way to master each tree much more quickly than if you had simply left the trees to grow on their own, harvesting them every two days (or less often) and then moving on ...
leftist tree; left rotation; left-child right-sibling binary tree also termed first-child next-sibling binary tree, doubly chained tree, or filial-heir chain; Lempel–Ziv–Welch (LZW) level-order traversal; Levenshtein distance; lexicographical order; linear; linear congruential generator; linear hash; linear insertion sort; linear order ...