## What are the operations of AVL tree?

The AVL tree structuring is implemented with the three basic data structure operations, namely search, insert and delete. E.g., Consider the following trees. In the above example, the height of right sub-tree = 2 and left =3 thus BF= 2 that is <=1 thus tree is said to be balanced.

**How do you search in AVL tree?**

Searching for a node in an AVL Tree is the same as with any BST. Start from the root of the tree and compare the key with the value of the node. If the key equals the value, return the node. If the key is greater, search from the right child, otherwise continue the search from the left child.

**What is the running time of the search operation in an AVL tree?**

The time required is O(log n) for lookup, plus a maximum of O(log n) retracing levels (O(1) on average) on the way back to the root, so the operation can be completed in O(log n) time.

### Is AVL tree a search tree?

AVL tree is a self-balancing Binary Search Tree (BST) where the difference between heights of left and right subtrees cannot be more than one for all nodes.

**What is the balance factor of AVL tree?**

Properties of an AVL tree: 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.

**How does AVL tree differ from binary search tree?**

Differences between Binary Search tree and AVL tree Every AVL tree is also a binary tree because AVL tree also has the utmost two children. In BST, there is no term exists, such as balance factor. In the AVL tree, each node contains a balance factor, and the value of the balance factor must be either -1, 0, or 1.

## How do you find the balance factor of an AVL tree?

How to Calculate AVL Tree Balance Factor?

- Balance factor = height of left subtree – height of right subtree.
- Left-Left Rotation.
- Right-Right Rotation.
- Left Right Rotation.
- Right Left Rotation.

**What is the big O performance of insertion of an AVL tree?**

Since binary search tree insertions take O(h) time, rotations are O(1) time, and AVL trees have h = O(log n), AVL insertions take O(log n) time.

**What is AVL what is search time complexity for AVL?**

Insertion and Deletion time complexity of AVL tree is O(log n) and the searching time complexity of the AVL tree is O(n) which makes it better than binary search tree and red-black tree.

### Why AVL tree is required?

So, a need arises to balance out the existing BST. Named after their inventor Adelson, Velski & Landis, AVL trees are height balancing binary search tree. AVL tree checks the height of the left and the right sub-trees and assures that the difference is not more than 1. This difference is called the Balance Factor.

**How do I check my AVL tree balance?**

To check if a tree is height-balanced, get the height of left and right subtrees. Return true if difference between heights is not more than 1 and left and right subtrees are balanced, otherwise return false.

**How do you check the balance of an AVL tree?**