Using Morris Traversal, we can traverse the tree without using stack and recursion. Since we are not using recursion, we will use the Stack to store the traversal, we need to remember that inorder traversal is, first traverse the left node then root followed by the right node. Print current’s data b. ... # Iterative function for inorder tree traversal def inOrder(root): # … Morris traversal is a traversal technique which uses the concept of threaded binary tree and helps to traversal any binary tree without recursion and without using stack (any additional storage). It is a good practice to write an iterative solution compared to recursive solution. In this article we discuss Morris Traversal for inorder binary tree traversal. Using Stack is the obvious way to traverse tree without recursion. In Binary search tree traversals we discussed different types of traversals like inorder, preorder and postorder traversals. While the stack is not empty, do: i. Pre-Order traversal without recursion PreOrder traversal is the easiest to handle when recursion is not desired because it consumes the data before recursion. Earlier we have seen “What is Inorder traversal and recursive algorithm for it“, In this article we will solve it with iterative/Non Recursive manner. Push the right child of the popped node into the stack. In this post, let’s focus on the iterative implementation of inorder traversal or iterative inorder traversal without recursion. Pop an item from the stack and add it to the ArrayList. Thus once left subtree is fully exhausted, we print the parent and then move on to right subtree. I was trying to understand how it works, but its just escaping me. Below is an algorithm for traversing binary tree using stack. Submitted by Radib Kar, on August 04, 2020 . Can someone please help me understand the following Morris inorder tree traversal algorithm without using stacks or recursion ? C++ Program for Inorder Tree Traversal without Recursion C++ Server Side Programming Programming If a binary tree is traversed in-order, the left subtree is visited first, then the root and later the right sub-tree. Using Stack is the obvious way to traverse tree without recursion. While current is not NULL If current does not have left child a. Below is an algorithm for traversing binary tree using stack. Initialize current as root 2. Steps for preorder traversal: Initialize an empty stack and push the root of the tree in it. For iterative preorder traversal, we must have a stack. The idea of Morris Traversal is based on Threaded Binary Tree.In this traversal, we first create links to Inorder successor and print the data using these links, and finally revert the changes to restore original tree. ii. But since the left subtree does not have a parent pointer, then we cannot come back to the parent after subtree has been traversed. Prerequisite: Inorder traversal using recursion One of the most common things we do on a binary tree is traversal. I like to practice the iterative solution of binary tree inorder traversal, since it is very easy to make a few mistakes in the first writing, I forgot to set the node is visited, and then I did not use Stack's Peek API and just use Pop. iii. InOrder traversal means Left, Root, Right. Print In-Order traversal without recursion and stack. 1. We implemented those traversals in a recursive way.