LeetCode 88 Merge Sorted Array | Optimal O(m+n) Solution Explained | C++ | Two Pointer Approach

🚀 LeetCode 88 — Merge Sorted Array | Complete Explanation In this video, we solve the Merge Sorted Array problem using the most optimal Two Pointer approach. This is a must-know problem for coding interviews and helps you understand in-place array manipulation without using extra space. 📌 What you’ll learn: • Problem explanation with example • Optimal approach (Two Pointer from end) • Live coding in C++ • Line-by-line code explanation • Time and Space Complexity 💡 Problem Statement: You are given two sorted arrays, nums1 and nums2, along with their sizes m and n. Merge nums2 into nums1 such that the final array is sorted. 🧠 Approach: We use three pointers: • One for nums1 (end of valid elements) • One for nums2 (end) • One for placing elements (end of nums1) We compare elements from the back and place the larger one to avoid overwriting. ⏱️ Timestamps: 00:00 Introduction 00:40 Problem Explanation 01:40 Approach 02:40 Live Coding 05:00 Code Walkthrough 07:00 Complexity Analysis 🎯 Why this problem is important: • Frequently asked in interviews • Tests array manipulation skills • Teaches in-place optimization 🔥 Bonus: Also explained brute-force method using extra space! 🔔 Don’t forget to: Like 👍 Comment 💬 Subscribe 🔔 #LeetCode88 #MergeSortedArray #DSA #CodingInterview #CPlusPlus #TwoPointer #PlacementPreparation