🔥 LeetCode 104 – Maximum Depth of Binary Tree | DFS Recursion Solution | Day 33
In this video, we break down one of the most important Binary Tree problems — Maximum Depth of Binary Tree — and learn how to solve it step by step using the DFS Recursion approach.
This problem is perfect for beginners starting the Tree section and teaches important concepts:
👉 What Binary Trees are
👉 How DFS (Depth First Search) works
👉 Understanding Recursion in Trees
👉 How to calculate depth using left and right subtrees
👉 How recursive calls return answers back to the parent node
🧩 Problem Link:
https://leetcode.com/problems/maximum...
💡 What you'll learn in this video:
Understanding Binary Tree Depth
What is a Leaf Node
How DFS Traversal works
Recursion Base Case
Calculating Left and Right Subtree Depth
Using Math.max() efficiently
Beginner-friendly Dry Run
JavaScript Implementation explained line by line
Time and Space Complexity Analysis
⚡ Approach Covered:
🔹 DFS Recursion Approach
Check if the node is null
Return 0 for null nodes
Recursively find left subtree depth
Recursively find right subtree depth
Take the maximum depth
Add 1 for the current node
Return the answer
🚀 Why this problem is important?
First Binary Tree DFS problem in LeetCode 75
Builds strong recursion fundamentals
Helps understand Tree traversal patterns
Foundation for many advanced Tree problems
Frequently asked in coding interviews
Essential for learning DFS on Trees
🎯 If you found this helpful:
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💬 Comment your doubts or share your approach
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