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HomeLeetCode ProblemsMaximum Rows Covered by Columns
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How to Solve Maximum Rows Covered by Columns Problem

Master the Maximum Rows Covered by Columns LeetCode problem with undetectable real-time assistance. Get instant solutions and explanations during your coding interviews.

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Medium#2397
LeetCode Problem

Maximum Rows Covered by Columns

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.

ArrayBacktrackingBit ManipulationMatrixEnumeration

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Problem Breakdown

Understanding the Maximum Rows Covered by Columns Problem

Let's break down this LeetCode problem and understand what makes it challenging in interview settings.

Problem Statement

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.

MediumProblem #2397
LeetCode

Maximum Rows Covered by Columns

Related Topics

ArrayBacktrackingBit ManipulationMatrixEnumeration

How PhantomCodeAI Helps

Get real-time assistance for Maximum Rows Covered by Columns problems during coding interviews. PhantomCodeAI provides instant solutions and explanations.

Examples

# Example 1

Input
matrix = [[0,0,0],[1,0,1],[0,1,1],[0,0,1]], numSelect = 2
Output
3

# Example 2

Input
matrix = [[1],[0]], numSelect = 1
Output
2

Constraints

m == matrix.length
n == matrix[i].length
1 <= m, n <= 12
matrix[i][j] is either 0 or 1.
1 <= numSelect <= n

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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:

def solve(input):
# Optimal O(n) solution
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Time: O(n)  |  Space: O(n)

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Undetectability Checklist

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Platform compatibility and limitations

We work with Zoom, HackerRank, CodeSignal, CoderPad and other web-based platforms. Check the compatibility note and request a browser link if a specific desktop app is unsupported.

Frequently Asked Questions

Common questions about solving Maximum Rows Covered by Columns and using PhantomCodeAI during coding interviews.

How does PhantomCodeAI help with LeetCode problems during a coding interview?
PhantomCodeAI reads the problem from a screenshot or listens to it via audio, then generates a complete solution with a step-by-step approach and time/space complexity, so you can focus on explaining your reasoning rather than getting stuck on implementation.
Which programming languages does PhantomCodeAI support?
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Can PhantomCodeAI handle follow-up questions and modifications?
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Is PhantomCodeAI detectable during live interviews?
PhantomCodeAI runs as a native desktop overlay that does not appear in screen shares, recordings, or proctoring software, and works with Zoom, Google Meet, Microsoft Teams, and major coding platforms.
Should I still practice these problems on my own first?
Yes. The most durable preparation is solving problems unaided first, then using AI afterward to review your approach, complexity, and missed edge cases — use it to debrief and learn, not to skip the reps.

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