Merge Sorted Array - Two Pointer Approach Explained | DSA series #6 | LeetCode Q88

☕ Welcome — solving 150 handpicked LeetCode problems, one cup at a time. Episode 6: Merge Sorted Array (LeetCode #88) — Easy In this video, I break down Merge Sorted Array and explain how to merge two sorted arrays efficiently using the Two Pointer approach. 🔴 Brute Force — O(n) time, O(n) extra space 🟢 Two Pointer Approach — O(n) time, O(1) extra space ✅ Best 📌 Key Concept: Merge From the End Instead of shifting elements from the front, we compare the largest elements from both arrays and place them at the end of `nums1`. We use three pointers: • `i` → last valid element of `nums1` • `j` → last element of `nums2` • `k` → last position of `nums1` By filling the array from right to left, we can merge both sorted arrays without using extra space. 🚀 ──────────────────────────── 📁 SERIES ROADMAP — 150 Problems across 15 sections: Arrays → Strings → Hashing → Binary Search → Sorting → Sliding Window → Linked List → Stack → Queue → Trees → Heap → Graphs → Backtracking → Greedy → Dynamic Programming ──────────────────────────── 🔗 LeetCode Problem: https://leetcode.com/problems/merge-sorted... #DSA #LeetCode #LeetCode88 #MergeSortedArray #TwoPointers #CodingInterview #CPlusPlus #DataStructures #Algorithms #DSACoffee #LeetCode150 #Coding