So we can recursively compute the height of the left and right sub-trees, and find the maximum height of the sub-tree. Since the height of the tree is defined as the largest path from the root to a leaf. We will find the height of the tree first. We need to find a way to print the nodes corresponding to every level.We must first find the height of the tree.In the example Binary Tree above, the level order traversal will be: So, this traversal first traverses the nodes corresponding to Level 0, and then Level 1, and so on, from the root node. Now that we have our concepts covered, let’s understand how we can implement Level Order Traversal.Ī Level Order Traversal is a traversal which always traverses based on the level of the tree. In this case, the height will be the length from the deepest node ( 40 or 50, since they have the maximum level) to the root. This is simply the length of the path from the root to the deepest node in the tree. We also need to understand the notion of height in a Binary Tree. If it has children, both of them will have a level of 1, since it has only one ancestor until the root node, which is the root node itself. So, for the root node (topmost node), it’s level is 0, since it has no parents. It is basically the number of ancestors from that node until the root node. Let’s understand what a level in a Binary Tree means.Ī level is the number of parent nodes corresponding to a given a node of the tree. There are 4 common ways of traversing the nodes of a Binary Tree, namely: The topmost node is called the Root node. In this article, we shall look at how we can implement this algorithm in C/C++.īut before that, let us have our concepts covered.Ī Binary Tree is a data structure where every node has at-most two children. Level Order Traversal is one of the methods for traversing across a Binary Tree.
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