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Minimum Operations to Make Elements Within K Subarrays Equal | Made Easy | Intuitive | Leetcode 3505

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Minimum Operations to Make Elements Within K Subarrays Equal | Made Easy | Intuitive | Leetcode 3505

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Hi Everyone, this is 51st video of our Playlist "Sliding Window : Popular Interview Problems" by codestorywithMIK"
Today we will be solving a very good problem based on DP, Sliding Window and Maths : Minimum Operations to Make Elements Within K Subarrays Equal | Made Super Easy | Intuitive | Leetcode 3505 | codestorywithMIK

Problem Name : Minimum Operations to Make Elements Within K Subarrays Equal | Made Super Easy | Intuitive | Leetcode 3505 | codestorywithMIK
Company Tags : will update later
My solutions on Github(C++ & JAVA) : https://github.com/MAZHARMIK/Interview_DS_Algo/blob/master/Sliding%20Window/Minimum%20Operations%20to%20Make%20Elements%20Within%20K%20Subarrays%20Equal.cpp
Leetcode Link : https://leetcode.com/problems/minimum-operations-to-make-elements-within-k-subarrays-equal


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Video Summary :
To make a window of size x all equal at the least cost, you set every element to the window's median, since the median minimizes the total distance to all the elements. A sliding window with two balanced halves (plus running sums) gives the median and the cost of every window quickly. After that, the problem becomes: "pick k non-overlapping windows with the smallest total cost," which is solved by walking left to right and, at each index, either take a window here (jump ahead by x) or skip one index, remembering results by (windows placed, index).


✨ Timelines✨
00:00 Introduction
00:19 Motivation
00:35 Problem Explanation
04:14 Thought Process
09:43 Recursion
19:20 Finding Min Operations
27:19 Dry Run
40:11 Coding it up

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