Minimum Operations to Exceed Threshold Value II |Easy Explanation | Leetcode 3066 | codestorywithMIK
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Hi Everyone, this is the 25th video of our Playlist "Heap : Popular Interview Problems".
Now we will be solving a good practice problem on heap - Minimum Operations to Exceed Threshold Value II | Simple Explanation | Leetcode 3066 | codestorywithMIK
Problem Name : Minimum Operations to Exceed Threshold Value II | Simple Explanation | Leetcode 3066 | codestorywithMIK
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My solutions on Github(C++ & JAVA) - https://github.com/MAZHARMIK/Interview_DS_Algo/blob/master/Heap/Minimum Operations to Exceed Threshold Value II.cpp
Leetcode Link : https://leetcode.com/problems/minimum-operations-to-exceed-threshold-value-ii
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Video Summary :
The approach uses a greedy strategy with a min-heap to always combine the two smallest numbers until all elements meet or exceed k. Since we want to reach k in the fewest operations, we prioritize merging the smallest values first—this ensures that smaller numbers grow faster while keeping the overall sum minimal. Using a min-heap (priority queue) allows efficient extraction of the smallest elements in logarithmic time, making the process optimal. The key insight is that by always doubling the smallest number and adding the second smallest, we efficiently push the overall minimum up toward k. 🚀
✨ Timelines✨
00:00 - Introduction
00:09 - Motivation
01:05 - Problem Explanation
03:12 - Intuition And Thought Process
09:46 - Coding it up
14:28 - Time & Space
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