# What is iterative inorder traversal?

## What is iterative inorder traversal?

Given a binary tree, write an iterative and recursive solution to traverse the tree using inorder traversal in C++, Java, and Python. (L) Recursively traverse its left subtree. When this step is finished, we are back at n again. (N) Process n itself. (R) Recursively traverse its right subtree.

## What is iterative traversal?

Given a Binary Tree, write an iterative function to print the Preorder traversal of the given binary tree. Refer to this for recursive preorder traversal of Binary Tree. Following is a simple stack based iterative process to print Preorder traversal. 1) Create an empty stack nodeStack and push root node to stack.

## How do you iteratively traverse BST?

Push the current node (starting from the root node) onto the stack. Continue pushing nodes to the left of the current node until a NULL value is reached….Algorithm

1. Remove and print the last item from the stack.
2. Set the current node to be the node to the right of the removed node.
3. Repeat the second step of the algorithm.

## Is inOrder traversal sorted?

It’s worth remembering that the inOrder traversal is a depth-first algorithm and prints the tree node in sorted order if given binary tree is a binary search tree.

## How do you do inOrder traversal?

You start traversal from root then goes to the left node, then again goes to the left node until you reach a leaf node. At that point in time, you print the value of the node or mark it visited and moves to right subtree. Continuing the same algorithm until all nodes of the binary tree are visited.

## What does it mean when a tree is balanced?

A tree is perfectly height-balanced if the left and right subtrees of any node are the same height. We will say that a tree is height-balanced if the heights of the left and right subtree’s of each node are within 1. The following tree fits this definition: We will say this tree is height-balanced.

## Is BST a height-balanced tree?

Balanced Binary Tree The right tree is balanced, in case, for every node, the difference between its children’s height is at most 1. The example of a balanced BST is a Red-Black-Tree.

## What is the balance factor of node?

The balance factor of a node is the height of its right subtree minus the height of its left subtree and a node with a balance factor 1, 0, or -1 is considered balanced.

## What is the balance factor of the root?

More formally, we define the balance factor for a node as the difference between the height of the left subtree and the height of the right subtree. Using the definition for balance factor given above we say that a subtree is left-heavy if the balance factor is greater than zero.

## How is balance factor calculated?

AVL tree permits difference (balance factor) to be only 1. BalanceFactor = height(left-sutree) − height(right-sutree) If the difference in the height of left and right sub-trees is more than 1, the tree is balanced using some rotation techniques.

## How do you find the balance factor?

If balance factor paired with node is either 1,0, or – 1, it is said to be balanced.

1. Balance factor = height of left subtree – height of right subtree.
2. Left-Left Rotation.
3. Right-Right Rotation.
4. Left Right Rotation.
5. Right Left Rotation.

## When can we say a BST is balance tree?

A node in a tree is height-balanced if the heights of its subtrees differ by no more than 1. (That is, if the subtrees have heights h1 and h2, then |h1 − h2| ≤ 1.) A tree is height-balanced if all of its nodes are height-balanced.