Скачать или смотреть LeetCode 498: Diagonal Traverse | CSharp Solution | Matrix Traversal

In this tutorial, we'll solve the Diagonal Traverse problem where we need to traverse a matrix diagonally in a zigzag pattern and return all elements in a single array. #leetcode #matrix #diagonaltraverse #csharp

⏱️ *Time Complexity:* O(m*n) where m and n are the dimensions of the matrix
🔍 *Space Complexity:* O(m*n) for storing the result

📋 *Timestamps:*
00:00 - Understanding problem statement
00:51 - Discussing solution
03:01 - Big O Notation calculated
03:34 - C# code walk-through
05:12 - Solution analysis - runtime + memory
05:19 - Conclusion

🔑 *Key Concepts:*
Matrix traversal
Diagonal pattern recognition
Direction handling
Array manipulation in C#

📚 *Learning Points:*
How to efficiently traverse a matrix diagonally
Techniques for direction changes in matrix problems
Handling index boundaries in matrix traversal
C# array manipulation for matrix problems

🔄 *Related Problems:*
LeetCode 54: Spiral Matrix
LeetCode 59: Spiral Matrix II
LeetCode 1424: Diagonal Traverse II
LeetCode 1329: Sort the Matrix Diagonally

👥 *Target Audience:*
Software engineers preparing for technical interviews, C# developers looking to improve their problem-solving skills, and algorithm enthusiasts interested in matrix problems.

⚙️ *Prerequisites:*
Basic understanding of C#
Familiarity with arrays and matrices
Understanding of iteration and conditional logic

🔗 *Links:*
LeetCode problem: https://leetcode.com/problems/diagona...
Solution code: https://leetcode.com/problems/diagona...

💡 *Additional Tips:*
Pay special attention to the direction change logic when hitting matrix boundaries
Notice how we can use a single loop with clever index manipulation instead of multiple conditionals
Consider how the parity (odd/even) of row+column sum determines the direction

🔔 *Call to Action:*
If you found this solution helpful, please like and subscribe for more LeetCode problem solutions in C#! Share your questions or alternative approaches in the comments below. #codinginterviews #algorithmpractice #matrixproblems #csharpdevs