Solving Binary Search Tree Operations: Deleting a Node

Recently, I tackled the challenge of deleting a node in a BST on LeetCode. Delete Node in a BST. Let's break down the approach and solution:

Problem Overview:

Given a BST and a key, the task is to delete the node with that key while maintaining the BST properties.

Solution Approach:

1. Traversal and Identification: Start from the root and traverse down the tree to find the node to delete based on its key value.
2. Node Deletion: Once the node is found, there are three scenarios.

Node has no children: Simply remove the node.

Node has one child: Replace the node with its child.

Node has two children: Replace the node's value with the minimum value from its right subtree, then recursively delete that minimum value node.

3. Recursive Approach:

Key Takeaways:

• BST Advantage: Utilize BST properties for efficient searching and operations.
• Handling Edge Cases: Address scenarios where the node to delete has zero, one, or two children.
• Recursive Strategy: Leverage recursion to simplify the deletion process while maintaining the tree balance.

#LeetCode #BST #Algorithm #DataStructures #JavaProgramming #CodingInterview