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The tree rotation renders the inorder traversal of the binary tree invariant. This implies the order of the elements is not affected when a rotation is performed in any part of the tree. Here are the inorder traversals of the trees shown above: Left tree: ((A, P, B), Q, C) Right tree: (A, P, (B, Q, C))
A trie implemented as a doubly chained tree: vertical arrows are child pointers, dashed horizontal arrows are next-sibling pointers. Tries are edge-labeled, and in this representation the edge labels become node labels on the binary nodes. The process of converting from a k-ary tree to an LC-RS binary tree is sometimes called the Knuth ...
For example, the ordered tree on the left and the binary tree on the right correspond: An example of converting an n-ary tree to a binary tree. In the pictured binary tree, the black, left, edges represent first child, while the blue, right, edges represent next sibling. This representation is called a left-child right-sibling binary tree.
Čulík & Wood (1982) define the "right spine" of a binary tree to be the path obtained by starting from the root and following right child links until reaching a node that has no right child. If a tree has the property that not all nodes belong to the right spine, there always exists a right rotation that increases the length of the right spine.
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.
The tree in the example image is reversible (just think of the right one as being rotated 45 degrees clockwise) and going back and forth between a linked list and a subtree is trivial. There is a small discrepancy that in a K-ary Tree the number of children is limited to K and in a LC-RS Tree there is no such limit.
For infinite trees, simple algorithms often fail this. For example, given a binary tree of infinite depth, a depth-first search will go down one side (by convention the left side) of the tree, never visiting the rest, and indeed an in-order or post-order traversal will never visit any nodes, as it has not reached a leaf (and in fact never will ...
This unsorted tree has non-unique values (e.g., the value 2 existing in different nodes, not in a single node only) and is non-binary (only up to two children nodes per parent node in a binary tree). The root node at the top (with the value 2 here), has no parent as it is the highest in the tree hierarchy.