DSA in Python Course - Kth Smallest Element in a BST | Morris Algorithm | LeetCode Medium | Part 176
📘 Welcome to Part 176 of Code & Debug's DSA in Python Course!
In this video, we solve the classic problem: Kth Smallest Element in a BST from LeetCode using the powerful Morris Algorithm. We'll implement a space-optimized solution that finds the kth smallest element in O(1) space complexity by performing Morris Inorder Traversal, which gives us elements in sorted order.
This problem beautifully combines BST properties with the Morris Algorithm, making it a perfect example of how advanced tree traversal techniques can optimize our solutions.
👨🏫 What's covered in this video:
1. Understanding the problem statement from LeetCode
2. Why inorder traversal of BST gives sorted elements
3. Implementing Morris Algorithm for this specific problem
4. Step-by-step code walkthrough with predecessor finding
5. Handling threading and unthreading of the tree
6. Count tracking to find the kth element efficiently
7. Time Complexity: O(n) and Space Complexity: O(1) analysis
8. Comparison with traditional approaches (recursive/iterative)
By the end of this session, you'll master how to apply Morris Algorithm to solve BST problems optimally and understand its practical applications!
🔗 LeetCode Problem - Kth Smallest Element in a BST:
https://leetcode.com/problems/kth-sma...
📄 Full Playlist Sheet (All Questions in Order):
https://docs.google.com/spreadsheets/...
🎓 Enroll in the FREE Python DSA Course:
https://codeanddebug.in/course/master...
🚀 Advance Python DSA for FAANG (Zero to Hero Course):
https://codeanddebug.in/course/zero-t...
Stay focused and keep coding with Code & Debug.
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