Minimum Size Subarray Sum | Sliding Window Explained | LeetCode 209 | Optimal O(N) Solution скачать в хорошем качестве

Minimum Size Subarray Sum | Sliding Window Explained | LeetCode 209 | Optimal O(N) Solution

In this video, we solve LeetCode 209 – Minimum Size Subarray Sum using the Sliding Window Technique 🔥 This problem is a perfect example of how to optimise from a brute force O(N²) solution to an optimal O(N) approach. We’ll cover: ✅ Problem explanation in simple words ✅ Naive (Brute Force) approach ✅ Time & Space Complexity analysis ✅ Sliding Window intuition ✅ Step-by-step dry run ✅ Optimal O(N) solution ✅ Clean and interview-ready code ✅ Common mistakes to avoid This question is extremely important for: FAANG interviews Product-based company interviews DSA practice Mastering the sliding window pattern 🧠 Concepts Covered: Sliding Window Pattern Two Pointer Technique Subarray Problems Optimization Techniques Time Complexity Reduction 🔔 Subscribe for more DSA content: Daily LeetCode Interview preparation DSA patterns Coding interview strategies Systematic problem-solving #leetcode #slidingwindow #twopointers #dsa #codinginterview #faang #leetcodesolutions #productbasedcompanies #interviewpreparation #datastructures #algorithms #softwareengineer #codinglife #dsapatterns