Minimum Sum of Squared Difference | Brute Force | Optimal | Intuition | Leetcode 2333 | MIK
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Minimum Sum of Squared Difference | Brute Force | Optimal | Intuition | Leetcode 2333 | MIK
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Hi Everyone, this is the 71st video of our Playlist "Greedy : Popular Interview Problems" by codestorywithMIK.
Today we will be solving a good problem on Greedy : Minimum Sum of Squared Difference | Brute Force | Optimal | Intuition | Leetcode 2333 | codestorywithMIK
Problem Name : Minimum Sum of Squared Difference | Brute Force | Optimal | Intuition | Leetcode 2333 | codestorywithMIK
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Video Summary :
Approach-1 (Max-Heap): Pool k1 + k2 into one budget, put all diffs in a max-heap, and repeatedly lower the current largest diff by 1, since that saves the most squared value. Correct, but it takes one step per move, so it times out when k is huge.
Approach-2 (Counting): Same greedy, but batched. Count how many indices have each diff value, then sweep from the largest value downward, pushing as many indices as the budget allows down one level at a time. The work depends on the number of distinct diff values (at most 10⁵), not on k.
✨ Timelines✨
00:00 Introduction
00:08 Motivation
00:18 Problem Explanation
02:43 Thought Process
05:30 Brute Force
13:56 Corner Case
05:51 Coding Brute Force
18:37 Optimal Intuition
30:34 Coding Optimal Approach
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