Problem Description
Given a binary matrix where each element is either 0 or 1, determine the row that contains the maximum number of ones. In the case of a tie (multiple rows having the same number of ones), select the row with the smallest index. Return an array containing the index of that row and the count of ones in it.
Key Insights
- Iterate through each row of the matrix.
- Count the number of ones in each row.
- Keep track of the row with the highest count of ones.
- In case of a tie, prefer the row with the smaller index.
- The approach involves a simple traversal leading to O(m * n) time complexity.
Space and Time Complexity
Time Complexity: O(m * n) where m is the number of rows and n is the number of columns. Space Complexity: O(1) additional space is used.
Solution
The solution iterates through the matrix row by row, counting the number of ones in each row. As it processes each row, it updates the maximum count and index if the current row has a higher count than previously seen. If the count is equal to the maximum, the smallest row index is naturally maintained since rows are processed in order. This straightforward algorithm efficiently finds the answer by scanning through the matrix only once.