Table of Contents

## Is balanced binary tree and AVL tree same?

An AVL tree is another balanced binary search tree. Named after their inventors, Adelson-Velskii and Landis, they were the first dynamically balanced trees to be proposed. Like red-black trees, they are not perfectly balanced, but pairs of sub-trees differ in height by at most 1, maintaining an O(logn) search time.

**What is AVL tree compare its with binary tree?**

Binary Search Tree vs AVL Tree: Data Structure

Binary Search Tree | AVL Tree |
---|---|

In binary search tree, it does not contain any balance factor. | Each node has a balance factor in AVL tree whose value can be 1, 0, or -1. It requires extra space to store the balance factor per node. |

**Is AVL tree a complete binary tree?**

Every complete binary tree is an AVL tree, but not necessarily the other way around. A complete binary tree is one where every layer except possibly the last is completely filled in. An AVL tree is one where every node’s children are AVL trees whose heights differ by at most one.

### Are AVL trees always balanced?

An AVL tree balances itself after every operation. An AVL has much faster operations because it’s always balanced. AVL trees were the first self-balancing tree structures.

**Why we use AVL tree instead of BST?**

the reason behind using AVL instead of BST is to make sure the search time is O(logn) because if we use BST and insert the values in a decreasing or increasing order then the BST would be one sided and the search time will be O(n), but if we do that using AVL then the tree will balance itself using rotations.

**What is tree AVL tree binary 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. An Example Tree that is an AVL Tree.

## What is a balanced binary tree example?

Height-balanced binary tree : is defined as a binary tree in which the depth of the two subtrees of every node never differ by more than 1. Example : Input : 1 / \ 2 3 Return : True or 1 Input 2 : 3 / 2 / 1 Return : False or 0 Because for the root node, left subtree has depth 2 and right subtree has depth 0.

**How does an AVL tree stay balanced?**

An AVL Tree (Adelson-Velsky and Landis tree) is a self balancing binary search tree such that for every internal node of the tree the heights of the children of node can differ by at most 1. If the difference in the height of left and right sub-trees is more than 1, the tree is balanced using rotation techniques.

**What is the difference between binary search tree and AVL tree?**

Whereas in an AVL Tree, insertion takes in the same way as we insert a new node in a binary search tree. But the tree now formed may/may not be balanced.

### What is an AVL tree?

AVL Tree Datastructure AVL tree is a height-balanced binary search tree. That means, an AVL tree is also a binary search tree but it is a balanced tree. A binary tree is said to be balanced if, the difference between the heights of left and right subtrees of every node in the tree is either -1, 0 or +1.

**What is the difference between AVL and B-tree and self balancing tree?**

All Self Balancing tree are base on different algorithm like Red-Black tree keep record of color of the node for balancing and require less rotations. Searching is slower in compare to AVL trees. B-tree are used when we are managing more than thousands of items and we are paging them from a disk or some slow storage medium.

**What is the balance factor of every node in an AVL?**

In an AVL tree, balance factor of every node is either -1, 0 or +1. Balance factor of a node is the difference between the heights of the left and right subtrees of that node. The balance factor of a node is calculated either height of left subtree – height of right subtree (OR) height of right subtree – height of left subtree.