Mastering Binary Search Trees: Advanced LeetCode Problems with BFS & DFS Solutions

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Content of this video:
Dive deep into Binary Search Trees (BSTs) with this comprehensive tutorial! We'll explore advanced LeetCode problems, implementing efficient BFS and DFS strategies to solve them. Whether you're prepping for coding interviews or looking to strengthen your algorithm skills, this session has got you covered.

Table of Contents:
📚 Binary Search Tree Iterator II - LeetCode
Problem Explanation
Code Walkthrough
Implementing BSTIterator with Stack and List
Handling next() and prev() operations
Time and Space Complexity Analysis

🔄 Inorder Successor in BST - LeetCode
Problem Explanation
Iterative Solution
Finding the successor using iterative traversal
Recursive Approach
Code Explanation and Optimization Tips

🔗 Inorder Successor in BST II - LeetCode
Problem Explanation (With Parent Pointers)
Optimized Solution Using Parent Pointers
Traversing to find the successor efficiently
Code Walkthrough
Edge Cases and Testing

🎯 Closest Binary Search Tree Value - LeetCode
Problem Explanation
Iterative Solution to Find Closest Value
Handling Ties and Edge Cases
Code Implementation and Optimization

🎯 Closest Binary Search Tree Value II - LeetCode
Problem Explanation
Advanced Solution Using Successor and Predecessor Stacks
Initializing and maintaining stacks for closest values
Code Walkthrough
Alternative Solutions and Performance Comparison

🌳 Diameter of Binary Tree - LeetCode
Problem Explanation
Recursive DFS Approach to Calculate Diameter
Code Implementation
Understanding Time and Space Complexity

💡 Common Mistakes and Tips
Debugging Common Errors in BST Problems
Optimization Techniques for Efficient Coding
Best Practices for Tree Traversal Implementations