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You are given an m x n binary matrix matrix and an integer numSelect. Your goal is to select exactly numSelect distinct columns from matrix such that you cover as many rows as possible. A row is considered covered if all the 1's in that row are also part of a column that you have selected. If a row does not have any 1s, it is also considered covered. More formally, let us consider selected = {c1, c2, ...., cnumSelect} as the set of columns selected by you. A row i is covered by selected if: Return the maximum number of rows that can be covered by a set of numSelect columns.
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You are given an m x n binary matrix matrix and an integer numSelect. Your goal is to select exactly numSelect distinct columns from matrix such that you cover as many rows as possible. A row is considered covered if all the 1's in that row are also part of a column that you have selected. If a row does not have any 1s, it is also considered covered. More formally, let us consider selected = {c1, c2, ...., cnumSelect} as the set of columns selected by you. A row i is covered by selected if: Return the maximum number of rows that can be covered by a set of numSelect columns.
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matrix = [[0,0,0],[1,0,1],[0,1,1],[0,0,1]], numSelect = 2
3
matrix = [[1],[0]], numSelect = 1
2
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Solve Maximum Rows Covered by Columns — You are given an m x n binary matrix matrix and an integer numSelect. Your goal ...
Here's the optimal approach using Array:
Time: O(n) | Space: O(n)
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