COUNT COMPLETE TREE NODES (LEETCODE) PROBLEM NO {222} PART 6

In this video, I take you through a complete step-by-step breakdown of the LeetCode problem 222 - Count Complete Tree Nodes, a frequently asked coding interview question focused on binary trees. We’ll start by understanding the concept of a Complete Binary Tree, identifying edge cases, and then move on to implementing an efficient solution in C++. While the brute-force approach would take O(n) time, we’ll explore a smarter solution that brings the time complexity down to O(log²n) using tree height calculations — making it highly suitable for coding interviews at companies like Google, Amazon, Microsoft, and Facebook. Whether you're a beginner trying to grasp the fundamentals of Tree Traversal, or an advanced coder preparing for FAANG interviews, this video will help solidify your understanding of binary tree-based questions and clean C++ implementation practices. 🚀 What You’ll Learn: What is a Complete Binary Tree? Why brute-force is not optimal for this problem How to use binary tree height to optimize node counting A recursive C++ solution with O(log²n) complexity Debugging and edge case handling tips 💻 Tech Stack & Concepts: Language: C++ Data Structure: Binary Trees Key Concepts: DFS, Recursion, Tree Height, Time Complexity Analysis #dsa #codeprep #computerscience #leetcode #education #codeforces #cpp #codeforces