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HomeLeetCode ProblemsMaximum Compatibility Score Sum
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How to Solve Maximum Compatibility Score Sum Problem

Master the Maximum Compatibility Score Sum LeetCode problem with undetectable real-time assistance. Get instant solutions and explanations during your coding interviews.

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Medium#1947
LeetCode Problem

Maximum Compatibility Score Sum

There is a survey that consists of n questions where each question's answer is either 0 (no) or 1 (yes). The survey was given to m students numbered from 0 to m - 1 and m mentors numbered from 0 to m - 1. The answers of the students are represented by a 2D integer array students where students[i] is an integer array that contains the answers of the ith student (0-indexed). The answers of the mentors are represented by a 2D integer array mentors where mentors[j] is an integer array that contains the answers of the jth mentor (0-indexed). Each student will be assigned to one mentor, and each mentor will have one student assigned to them. The compatibility score of a student-mentor pair is the number of answers that are the same for both the student and the mentor. You are tasked with finding the optimal student-mentor pairings to maximize the sum of the compatibility scores. Given students and mentors, return the maximum compatibility score sum that can be achieved.

ArrayDynamic ProgrammingBacktrackingBit ManipulationBitmask

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Problem Breakdown

Understanding the Maximum Compatibility Score Sum Problem

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

Problem Statement

There is a survey that consists of n questions where each question's answer is either 0 (no) or 1 (yes). The survey was given to m students numbered from 0 to m - 1 and m mentors numbered from 0 to m - 1. The answers of the students are represented by a 2D integer array students where students[i] is an integer array that contains the answers of the ith student (0-indexed). The answers of the mentors are represented by a 2D integer array mentors where mentors[j] is an integer array that contains the answers of the jth mentor (0-indexed). Each student will be assigned to one mentor, and each mentor will have one student assigned to them. The compatibility score of a student-mentor pair is the number of answers that are the same for both the student and the mentor. You are tasked with finding the optimal student-mentor pairings to maximize the sum of the compatibility scores. Given students and mentors, return the maximum compatibility score sum that can be achieved.

MediumProblem #1947
LeetCode

Maximum Compatibility Score Sum

Related Topics

ArrayDynamic ProgrammingBacktrackingBit ManipulationBitmask

How Phantom Code Helps

Get real-time assistance for Maximum Compatibility Score Sum problems during coding interviews. Phantom Code provides instant solutions and explanations.

Examples

# Example 1

Input
students = [[1,1,0],[1,0,1],[0,0,1]], mentors = [[1,0,0],[0,0,1],[1,1,0]]
Output
8

# Example 2

Input
students = [[0,0],[0,0],[0,0]], mentors = [[1,1],[1,1],[1,1]]
Output
0

Constraints

m == students.length == mentors.length
n == students[i].length == mentors[j].length
1 <= m, n <= 8
students[i][k] is either 0 or 1.
mentors[j][k] is either 0 or 1.

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Solve Maximum Compatibility Score Sum — There is a survey that consists of n questions where each question's answer is e...

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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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 Compatibility Score Sum and using Phantom Code during coding interviews.

How does Phantom Code help me solve coding problems like Maximum Compatibility Score Sum 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 Compatibility Score Sum?
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 Compatibility Score Sum?
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 Compatibility Score Sum 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 Compatibility Score Sum 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 Compatibility Score Sum 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 Compatibility Score Sum 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 Compatibility Score Sum 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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