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An internal node (also known as an inner node, inode for short, or branch node) is any node of a tree that has child nodes. Similarly, an external node (also known as an outer node, leaf node, or terminal node) is any node that does not have child nodes. The height of a node is the length of the longest downward path to a leaf from that node ...
Leaf Node - Any node that has no children. Parent Node - Any node connected by a directed edge to its child or children. Child Node - Any node connected to a parent node by a directed edge. Depth - Length of the path from the root to the node. The set of all nodes at a given depth is sometimes called a level of the tree. The root node is at ...
Deleting a key from a non-leaf node can be done by replacing it by its immediate predecessor or successor, and then deleting the predecessor or successor from a leaf node. Deleting a key from a leaf node is easy if the leaf is a 3-node. Otherwise, it may require creating a temporary 1-node which may be absorbed by reorganizing the tree, or it ...
A labeled binary tree of size 9 (the number of nodes in the tree) and height 3 (the height of a tree defined as the number of edges or links from the top-most or root node to the farthest leaf node), with a root node whose value is 1. The above tree is unbalanced and not sorted.
Otherwise, push the middle value up into the parent node. Ascend into the parent node. Find the child whose interval contains the value to be inserted. If that child is a leaf, insert the value into the child node and finish. Otherwise, descend into the child and repeat from step 1. [3] [4]
A non-leaf node with k children contains k−1 keys. Each internal node's keys act as separation values which divide its subtrees. For example, if an internal node has 3 child nodes (or subtrees) then it must have 2 keys: a 1 and a 2.
In a binary tree that represents a multi-way tree T, each node corresponds to a node in T and has two pointers: one to the node's first child, and one to its next sibling in T. The children of a node thus form a singly-linked list. To find a node n 's k 'th child, one needs to traverse this list:
The data is stored in the leaf nodes and more branching of internal nodes helps to reduce the tree's height, thus, reduce search time. As a result, it works well in secondary storage devices. [8] Searching becomes extremely simple because all records are stored only in the leaf node and are sorted sequentially in the linked list.