Maximum Matrix Sum | Simple Thought Process | Leetcode 1975 | codestorywithMIK
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This is the 126th Video of our Playlist "Array 1D/2D : Popular Interview Problems" by codestorywithMIK
In this video we will try to solve a good practice 2D Array based problem : Maximum Matrix Sum | Simple Thought Process | Leetcode 1975 | 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 Matrix Sum | Simple Thought Process | Leetcode 1975 | codestorywithMIK
Company Tags : will update
My solutions on Github(C++ & JAVA) - https://github.com/MAZHARMIK/Interview_DS_Algo/blob/master/Arrays/2-D Array/Maximum Matrix Sum.cpp
Leetcode Link : https://leetcode.com/problems/maximum-matrix-sum
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Summary :
The approach to solve the problem involves the following steps:
Iterate Through the Matrix:
Traverse each element in the matrix, calculate the absolute value of each element, and add it to the total sum.
Count Negative Elements:
Keep track of the count of negative numbers in the matrix (countNegatives).
Track the Smallest Absolute Value:
Identify the smallest absolute value in the matrix (smallestAbsoluteValue) to handle cases where an odd number of negatives makes the maximum sum adjustment necessary.
Handle the Negativity Parity:
If the count of negative numbers is even, all elements can be made positive, so the result is simply the total sum.
If the count is odd, one element must remain negative, so subtract twice the smallest absolute value from the total sum to minimize the negative impact.
This ensures the matrix sum is maximized while adhering to the rules.
✨ Timelines✨
00:00 - Introduction
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