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Learn how to efficiently count negative numbers in a sorted matrix using binary search. #leetcode #csharp #binarysearch #arrays ⏱️ Time Complexity: O(m + n) 🚀 Space Complexity: O(1) ⌚ Timestamps: 00:00 - Understanding problem statement 00:27 - Brute force approach 01:01 - Optimized solution 02:01 - Dry run 03:12 - Big O Notation calculated 03:37 - C# code walk-through 04:19 - Solution analysis - runtime + memory 04:27 - Conclusion 🎯 Key Concepts: Binary Search 2D Matrix Traversal Sorted Array Properties Optimization Techniques 💡 Main Learning Points: Leveraging sorted matrix properties Efficient binary search implementation Matrix boundary handling Edge case considerations 🔗 Related Problems: #74 Search a 2D Matrix #240 Search a 2D Matrix II #378 Kth Smallest Element in a Sorted Matrix #1337 The K Weakest Rows in a Matrix 👥 Target Audience: Interview preparation candidates Software developers learning C# Data structure enthusiasts Coding competition participants 📚 Prerequisites: Basic C# syntax Array manipulation Binary search fundamentals Time complexity analysis 🔍 Useful Links: Problem: https://leetcode.com/problems/count-n... 💡 Additional Tips: Focus on the optimal solution using matrix properties Practice implementing various binary search approaches Consider different matrix sizes and patterns 🎯 Call to Action: Subscribe for weekly LeetCode solutions in C#! Drop your questions and alternative approaches in the comments below. Let's learn together! Remember to like and share if you found this helpful! 🙌