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LeetCode 94. Binary Tree Inorder Traversal in Java (Stack-Based Solution)

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00:00 - Introduction
00:07 - Whiteboard Walkthrough
04:59 - Edge Cases and Complexity
07:40 - Java Code Implementation
12:42 - Conclusion
Welcome to LeetCode LevelUp!
In today’s video, we solve LeetCode Problem 94: Binary Tree Inorder Traversal using Java. This problem is a core interview question that helps evaluate your understanding of tree traversal and stack data structures. We’ll implement an iterative inorder traversal with a stack, which is optimal for space in this problem.
We’ll cover:
The problem statement and key ideas for approaching binary tree traversal iteratively.
A whiteboard walkthrough explaining how the stack manages node traversal.
Detailed Java code implementation to perform inorder traversal and capture node values in a list.
Important edge cases like empty trees and single-node trees.
Complexity Analysis:
Time Complexity: O(n), where n is the number of nodes in the tree, as each node is visited once.
Space Complexity: O(h), where h is the height of the tree, due to the stack’s depth for storing nodes.
This is a space-efficient and optimal iterative solution for inorder traversal.
🔥 Be sure to explore more coding challenges, algorithms, and interview preparation in Java to level up your problem-solving skills and ace technical interviews!
📌 Let’s connect on LinkedIn: / oliver-redican-84996193
🔔 Don’t forget to subscribe, like, and hit the notification bell for daily coding content and tips for interview success!
00:07 - Whiteboard Walkthrough
04:59 - Edge Cases and Complexity
07:40 - Java Code Implementation
12:42 - Conclusion
Welcome to LeetCode LevelUp!
In today’s video, we solve LeetCode Problem 94: Binary Tree Inorder Traversal using Java. This problem is a core interview question that helps evaluate your understanding of tree traversal and stack data structures. We’ll implement an iterative inorder traversal with a stack, which is optimal for space in this problem.
We’ll cover:
The problem statement and key ideas for approaching binary tree traversal iteratively.
A whiteboard walkthrough explaining how the stack manages node traversal.
Detailed Java code implementation to perform inorder traversal and capture node values in a list.
Important edge cases like empty trees and single-node trees.
Complexity Analysis:
Time Complexity: O(n), where n is the number of nodes in the tree, as each node is visited once.
Space Complexity: O(h), where h is the height of the tree, due to the stack’s depth for storing nodes.
This is a space-efficient and optimal iterative solution for inorder traversal.
🔥 Be sure to explore more coding challenges, algorithms, and interview preparation in Java to level up your problem-solving skills and ace technical interviews!
📌 Let’s connect on LinkedIn: / oliver-redican-84996193
🔔 Don’t forget to subscribe, like, and hit the notification bell for daily coding content and tips for interview success!
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