Maximum Distance in Arrays | Leetcode 624 | codestorywithMIK
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This is the 37th Video of our Playlist "Greedy : Popular Interview Problems" by codestorywithMIK
In this video we will try to solve an Easy-Medium Greedy problem : Maximum Distance in Arrays | Leetcode 624 | codestorywithMIK
I will explain the intuition so easily that you will never forget and start seeing this as cakewalk EASYYY.
We will do live coding after explanation and see if we are able to pass all the test cases.
Also, please note that my Github solution link below contains both C++ as well as JAVA code.
Problem Name : Maximum Distance in Arrays | Leetcode 624 | codestorywithMIK
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Summary :
The approach for solving the maxDistance problem involves iterating through a list of arrays to find the maximum possible distance between the minimum and maximum values from different arrays. The algorithm starts by initializing the minimum (MIN) and maximum (MAX) values from the first array. As it iterates through the remaining arrays, it computes three potential distances:
The distance between the current array's minimum value and the global maximum value seen so far.
The distance between the current array's maximum value and the global minimum value seen so far.
The current maximum distance (result).
The maximum of these three distances is then stored in result. After updating result, the global MAX and MIN are updated with the current array's maximum and minimum values, respectively. This ensures that at each step, the algorithm considers the largest possible distance across all arrays encountered so far. The final value of result is the maximum distance found.
✨ Timelines✨
00:00 - Introduction
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