Скачать или смотреть 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

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