LeetCode 75 C++ | Step-by-Step Solutions (LAN Academy) - LeetCode 2542 – Maximum Subsequence Score | C++ Greedy + Heap Explained Clearly

In this video we solve LeetCode 2542: “Maximum Subsequence Score” using C++ with a clean Greedy + Heap approach. We are given two arrays nums1 and nums2 and a number k. We must choose k indices so that: score = (sum of chosen nums1 elements) * (minimum of chosen nums2 elements) Brute force is impossible, so we need a smart strategy: • Pair up (nums2[i], nums1[i]) and sort by nums2 in DESCENDING order • Treat the current nums2 value as the candidate minimum • Keep a min-heap of the k largest nums1 values seen so far • Each time the heap has size k, update: score = max(score, (sum of heap elements) * current nums2) This gives us an O(n log k) solution that is fast enough for all constraints. What you will learn: • How to turn a weird scoring function into a clean greedy strategy • How sorting + heaps work together in many interview problems • Full C++ implementation, step by step • Time and space complexity analysis 🔗 Problem link: https://leetcode.com/problems/maximum-subsequence-score/ 📚 Watch my full LeetCode playlist (C++ explanations + animations): https://www.youtube.com/playlist?list=PLF0G-7pZcOza_jyAxwMpa5KnK3vST5smK ––––– 💻 Technologies used • Language: C++ • Topic: Greedy, Heap / Priority Queue, Sorting • Difficulty: Medium–Hard (interview level) If this helped you: 👍 Like the video 📝 Comment which LeetCode problem you want next ✅ Subscribe for more C++ + algorithms explanations #leetcode #leetcode2542 #cpp #greedy #heap #priorityqueue #codinginterview @reper #foryou #viral #reper #urmaritori #for