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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.

Phantom Code generates complete solutions and debugging hints that you can use while explaining your approach, so you stay calm and in control.

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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 Phantom Code Helps

Get real-time assistance for Maximum Rows Covered by Columns problems during coding interviews. Phantom Code 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

How Phantom Code Helps with LeetCode Problems

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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
return result

Time: O(n)  |  Space: O(n)

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Undetectability and technical details

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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 Phantom Code during coding interviews.

How does Phantom Code help me solve coding problems like Maximum Rows Covered by Columns during interviews?
Phantom Code generates complete solutions instantly with proper complexity analysis, letting you focus on explaining your approach and demonstrating problem-solving skills rather than getting stuck on implementation details during high-pressure situations.
What if the interviewer asks follow-up questions or modifications to problems like Maximum Rows Covered by Columns?
Phantom Code adapts in real-time. Screenshot the modified problem or use audio mode to capture the interviewer's follow-up, and get an updated solution within seconds — including edge cases and optimizations.
Can Phantom Code help me communicate my solution for problems like Maximum Rows Covered by Columns?
Yes. Phantom Code provides step-by-step approach explanations with 3 progressive thoughts, so you can walk through your solution naturally. It also provides time and space complexity analysis to discuss trade-offs.
How does Phantom Code assist with different programming languages for Maximum Rows Covered by Columns type problems?
Phantom Code supports 11 programming languages including Python, Java, C++, JavaScript, TypeScript, Go, Rust, Ruby, Swift, Kotlin, and C#. Set your preferred language and get idiomatic solutions.
What coding mistakes does Phantom Code help me avoid during Maximum Rows Covered by Columns interviews?
Phantom Code catches common mistakes like off-by-one errors, missing edge cases, incorrect base conditions, and suboptimal approaches. It provides clean, well-structured code that handles all edge cases.
Is Phantom Code detectable when solving problems like Maximum Rows Covered by Columns during live interviews?
No. Phantom Code runs as an invisible desktop overlay that doesn't appear in screen shares, recordings, or proctoring software. It works with Zoom, HackerRank, CodeSignal, CoderPad, and all major platforms.
How does Phantom Code help when I'm struggling with Maximum Rows Covered by Columns style questions under pressure?
The AI provides structured guidance: first the approach (what algorithm/data structure to use and why), then the implementation with clean code, and finally complexity analysis. This helps you think clearly even under pressure.
Does Phantom Code work for the coding platforms used in Maximum Rows Covered by Columns interviews?
Yes. Phantom Code works with all major coding platforms including LeetCode, HackerRank, CodeSignal, CoderPad, HackerEarth, and any browser-based coding environment.
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