Minimize the Maximum Adjacent Element Difference | Detailed Explanation | Leetcode 3357 | MIK
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Hi Everyone, this is the 41st video of our Playlist "Binary Search : Popular Interview Problems".
Now we will be solving a very good Binary Search problem - Minimize the Maximum Adjacent Element Difference | Detailed Explanation | Leetcode 3357 | codestorywithMIK
I will explain it in full detail so that it becomes easy to understand. We will find the reason behind everything so that we understand why we did what we did.
Problem Name : Minimize the Maximum Adjacent Element Difference | Detailed Explanation | Leetcode 3357 | codestorywithMIK
Company Tags : Google (Recently)
Code Github(C++ & JAVA) - https://github.com/MAZHARMIK/Interview_DS_Algo/blob/master/Arrays/Binary Search/Minimize the Maximum Adjacent Element Difference.cpp
Leetcode Link : https://leetcode.com/problems/minimize-the-maximum-adjacent-element-difference/description/
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Video Summary :
The core idea is to find the smallest possible value of the maximum absolute difference between adjacent elements after replacing all -1s with values in a suitable range. Since the exact values aren't known, we use binary search on the answer (d) , the candidate maximum allowed difference. For each d, we try assigning values (x, y) to the -1s such that the difference constraint is satisfied. We check if filling all missing values with either x, y, or a mix (when allowed) can work without violating the adjacent difference rule. This systematic checking helps us zero in on the minimum valid d.
✨ Timelines✨
00:00 Introduction
00:18 Motivation
00:48 Problem Explanation
04:40 Thought Process - Why Binary Search On Answer
05:13 Simple Case of No -1s
06:50 When we have a -1 in the array
14:57 When we have many -1s in the array
20:25 Applying Binary Search on Answer
20:54 What should be value of l
25:18 What should be value of r
31:05 Understanding Check() function
1:00:34 Different Patterns We Observed
1:03:06 Coding it up
1:19:16 Time and Space Complexity
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