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🚀 LeetCode 3070 Solution – Count Submatrices with Top-Left Element and Sum ≤ k | Prefix Sum Optimization In this video, we solve LeetCode 3070: Count Submatrices with Top-Left Element and Sum Less Than or Equal to k, a Medium level 2D Matrix interview problem. You will learn how to efficiently use 2D Prefix Sum to compute submatrix sums, optimize brute force approaches, and count valid submatrices starting from the top-left corner. This problem is a must-know for mastering Prefix Sum in Matrix, which is one of the most important concepts in coding interviews. 💻 Code & Notes Repository 🔗 All LeetCode Solutions Repository https://github.com/Gopalkushwaha1/Lee... 🔗 AlgoDiary Interview Notes + Structured Code https://github.com/Gopalkushwaha1/Alg... 🔗 Direct Problem Folder (3070) https://github.com/Gopalkushwaha1/Alg... 🔗 Java Solution File https://github.com/Gopalkushwaha1/Alg... 🔗 C++ Solution File https://github.com/Gopalkushwaha1/Alg... 🔗 Python Solution File https://github.com/Gopalkushwaha1/Alg... 🔥 What you will learn in this video • Count submatrices with given sum constraint • Optimal use of 2D Prefix Sum technique • How to reduce time complexity using prefix sum • Matrix traversal optimization strategies • Converting brute force into efficient solution • Handling submatrix sum queries efficiently • Writing clean Java, C++, and Python solutions • Time and Space complexity analysis • Mastering Prefix Sum for 2D Matrix problems 🎯 Who should watch this video? • Students preparing for coding interviews • Developers practicing LeetCode Medium problems • Beginners learning Prefix Sum & 2D Matrix DSA • Anyone improving problem-solving skills 📢 Join Our WhatsApp Channel Get daily LeetCode problems, DSA interview tips, and coding interview preparation resources 👉 https://whatsapp.com/channel/0029Vb80... leetcode 3070 leetcode 3070 solution count submatrices with sum less than k prefix sum 2d matrix 2d prefix sum explained leetcode matrix problem leetcode medium dsa solution submatrix sum problem prefix sum optimization leetcode prefix sum problem matrix interview problem coding interview preparation data structures and algorithms leetcode problem solving software engineer interview preparation