Subarray With Given Sum | Brute Force vs Prefix Sum vs Two Pointer | Problem Solving Explained скачать в хорошем качестве

Subarray With Given Sum | Brute Force vs Prefix Sum vs Two Pointer | Problem Solving Explained

In this video, we dive deep into solving the classic Subarray With Given Sum problem. This is a fundamental problem in the world of algorithms and frequently asked in coding interviews. We walk through three powerful approaches, explaining each step clearly and concisely to help you understand the trade-offs in time and space complexity. 👉 Whether you're just starting out with data structures or preparing for your next technical interview, this breakdown will sharpen your problem-solving skills. Printing all Subarrays:    • Print All Subarrays | Complete Explan...   Approaches Covered: 🔹 Brute Force – Check all subarrays and compare their sums. Time Complexity: O(n²) 🔹 Prefix Sum – Use an auxiliary array to store running sums, improving performance. Time Complexity: O(n²), Space: O(n) 🔹 Two Pointer Technique – The optimal approach for positive integers. Time Complexity: O(n), Space: O(1) Timestamps: 0:00 – Intro 01:41 – Approach 1 (Brute Force) 06:59 – Approach 2 (Prefix Sum) 15:36 – Approach 3 (Two Pointer Technique) If you’re exploring more in data structures and algorithms or sharpening sorting techniques, check out these playlists for in-depth coverage: DSA Problem-Solving Playlist:    • DSA Problems   Sorting Techniques Playlist:    • Sorting Series   🔔 Subscribe for more Java coding techniques, problem-solving strategies, and detailed explanations!