Find Valid Matrix Given Row and Column Sums | Simple Approach | Leetcode 1605 | codestorywithMIK
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This is the 97th Video of our Playlist "Array 1D/2D : Popular Interview Problems" by codestorywithMIK
In this video we will try to solve a very good Array Problem : Find Valid Matrix Given Row and Column Sums | Simple Approach | Dry Run | Leetcode 1605 | codestorywithMIK
Note that it has a Greedy taste in it.
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 : Find Valid Matrix Given Row and Column Sums | Simple Approach | Dry Run | Leetcode 1605 | codestorywithMIK
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Summary :
The provided solution constructs a 2D matrix based on the given rowSum and colSum arrays by following these steps:
Initialize Matrix: Create a 2D matrix vec of size m x n, where m is the length of rowSum and n is the length of colSum.
Iterate Through Rows and Columns: Use two pointers, i for rows and j for columns, both starting at 0.
Assign Minimum Values: At each step, set vec[i][j] to the minimum of rowSum[i] and colSum[j]. This ensures that the value assigned is within the constraints of the remaining sums for the current row and column.
Update Sums: Subtract the assigned value from both rowSum[i] and colSum[j].
Move Pointers: If rowSum[i] becomes 0, increment i to move to the next row. If colSum[j] becomes 0, increment j to move to the next column.
Repeat Until Complete: Continue this process until all elements of rowSum and colSum are reduced to 0, ensuring the matrix satisfies the required row and column sums.
The algorithm ensures that the matrix will always fulfill the given requirements, as it greedily assigns the minimum possible value to each matrix cell while maintaining the constraints of rowSum and colSum.
✨ Timelines✨
00:00 - Introduction
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