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📌 2Sum Problem in Java - 3 Effective Approaches Explained

👉 Practice the 2Sum problem here: https://leetcode.com/problems/two-sum... In this video, we tackle the 2Sum problem, a staple in coding interviews, and demonstrate three approaches to solving it in Java, each offering unique advantages and efficiency levels. Approaches Covered: Brute Force - Using nested loops to check all possible pairs. This straightforward method has a time complexity of 𝑂(𝑛^2) and is best suited for learning purposes. Two-Pointer Technique - After sorting, we use a two-pointer approach, efficient for sorted arrays, with a time complexity of 𝑂(𝑛log𝑛). HashMap Optimization - The most efficient solution, using a HashMap to find pairs in 𝑂(𝑛) time by storing complements. This method is optimal for large arrays and improves time efficiency. Timestamps: Explanation: 0:50 Approach 1 (Brute Force): 2:19 Approach 2 (Two-Pointer Technique): 9:46 Approach 3 (HashMap): 17:49 Code Walkthrough: 25:00 Optimal Solution Code: In the video, we walk through the optimized HashMap solution, explaining how it reduces unnecessary comparisons and enhances search speed. 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!