Why is AVL used?

Alongside the standard BST operations, the AVL Tree supports additional functionalities such as sorted traversal. This allows for easy traversal of elements in ascending or descending order.

The AVL Tree stands as a preferred initial example of a self-balancing Binary Search Tree (BST) in the teaching of Data Structures and Algorithms (DSA).

Its simplicity in both understanding and implementation makes it an ideal choice for educational purposes, particularly when compared to other self-balancing trees like the Red Black Tree.

In various applications, the AVL Tree shines when insertions and deletions are not as frequent. Despite this, it excels in providing efficient data lookups.

Furthermore, AVL Trees offer functions like floor, ceil, min, and max. These operations provide quick access to the largest element less than or equal to a given value, the smallest element greater than or equal to a given value, the smallest element in the tree, and the largest element in the tree, respectively.