Trees are one of the most fundamental data structures. They are used to store and organize data.
A binary tree is a tree data structure composed of nodes, each of which has at most, two children, referred to as left and right nodes. The tree starts off with a single node known as the root.
Each node in the tree contains the following:
In case of a leaf node, the pointers to the left and right child point to
Note: There is no specific way to arrange data in a binary tree.
Following is a list of common operations that can be performed on a binary tree:
Elements may be inserted into a binary tree in any order. The very first insertion operation creates the root node. Each insertion that follows iteratively searches for an empty location at each level of the tree.
Upon finding an empty left or right child, the new element is inserted. By convention, the insertion always begins from the left child node.
An element may also be removed from the binary tree. Since there is no particular order among the elements, upon deletion of a particular node, it is replaced with the right-most element.
Let’s look at an example to get a better idea of how the deletion process works.
Binary trees are one of the most efficient and frequently used data structures. They represent structural relationships in data and are used to represent hierarchies.
Another frequently used tree operation is traversal. Tree traversal is the process of visiting each node present in a tree. There are three methods of tree traversal:
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