Binary Search Tree:
A binary search tree can also be known as an ordered or sorted binary tree as a result of the in-order traversal of binary search tree is all the time in sorted order.
A binary search tree is a binary tree with solely two branches by which every node of the left subtree is lower than or equal and every node in the correct subtree is larger. A binary Search Tree is a node-based binary tree knowledge construction. We are able to carry out preorder, in-order, and post-order traversal utilizing the Binary Search tree.
AVL tree is a self-balancing Binary Search Tree the place the distinction between heights of left and proper subtrees can’t be greater than 1 for all nodes. This distinction is named the Steadiness Issue i.e. 0, 1, and -1.
With a view to carry out this balancing, we carry out the next rotations on the unbalanced/imbalanced Binary Search Tree to make it an AVL tree.
- Left Rotation
- Proper Rotation
- Left Proper Rotation
- Proper Left Rotation
Following are the Distinction between Binary Search Tree and AVL Tree
|S.No||Binary Search Tree||AVL Tree|
|1.||In Binary Search Tree, In AVL Tree, each node doesn’t comply with the stability issue.||In AVL Tree, each node follows the stability issue i.e. 0, 1, -1.|
|2.||Each Binary Search tree shouldn’t be an AVL tree.||Each AVL tree is a Binary Search tree.|
|3.||Easy to implement.||Complicated to implement.|
|4.||The peak or depth of the tree is O(n).||The peak or depth of the tree is O(logn)|
|5.||Looking out shouldn’t be environment friendly when there are numerous nodes within the Binary Search tree.||Looking out is environment friendly as a result of trying to find the specified node is quicker as a result of balancing of peak.|
|6.||The Binary Search tree construction consists of three fields left subtree, knowledge, and proper subtree.||AVL tree construction consists of 4 fields left subtree, knowledge, proper subtree, and balancing issue.|
|7.||It isn’t a balanced tree.||It’s a balanced tree.|
|8.||In Binary Search tree. Insertion and deletion are simple as a result of no rotations are required.||In an AVL tree, Insertion and deletion are advanced because it requires a number of rotations to stability the tree.|