Used by thousands of developers who passed their interviews
How to Solve Minimum Absolute Difference in Sliding Submatrix Problem
Master the Minimum Absolute Difference in Sliding Submatrix 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.
undetectable
real-time
works on major platforms
Start Free for WindowsMedium#3567
LeetCode ProblemMinimum Absolute Difference in Sliding Submatrix
You are given an m x n integer matrix grid and an integer k. For every contiguous k x k submatrix of grid, compute the minimum absolute difference between any two distinct values within that submatrix. Return a 2D array ans of size (m - k + 1) x (n - k + 1), where ans[i][j] is the minimum absolute difference in the submatrix whose top-left corner is (i, j) in grid. Note: If all elements in the submatrix have the same value, the answer will be 0.
ArraySortingMatrix
Phantom Code will help you solve this problem in real-time during your interview
Get instant solutions, explanations, and code generation
Problem Breakdown
Understanding the Minimum Absolute Difference in Sliding Submatrix 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 integer matrix grid and an integer k. For every contiguous k x k submatrix of grid, compute the minimum absolute difference between any two distinct values within that submatrix. Return a 2D array ans of size (m - k + 1) x (n - k + 1), where ans[i][j] is the minimum absolute difference in the submatrix whose top-left corner is (i, j) in grid. Note: If all elements in the submatrix have the same value, the answer will be 0.
MediumProblem #3567
LeetCodeMinimum Absolute Difference in Sliding Submatrix
Related Topics
ArraySortingMatrix
How Phantom Code Helps
Get real-time assistance for Minimum Absolute Difference in Sliding Submatrix problems during coding interviews. Phantom Code provides instant solutions and explanations.
Examples
# Example 1
Input
grid = [[1,8],[3,-2]], k = 2
Output
[[2]]
# Example 2
Input
grid = [[3,-1]], k = 1
Output
[[0,0]]
# Example 3
Input
grid = [[1,-2,3],[2,3,5]], k = 2
Output
[[1,2]]
Constraints
1 <= m == grid.length <= 30
1 <= n == grid[i].length <= 30
-105 <= grid[i][j] <= 105
1 <= k <= min(m, n)
How Phantom Code Helps with LeetCode Problems
Reinforce undetectability, platform compatibility, and real-time assistance to remove any doubt.
1000+
developers use Phantom Code
and growing every day
95%
success rate
of users pass their interviews
100%
undetectable
native desktop architecture
Real-time
assistance
instant solutions during interviews
See Phantom Code in Action
Watch how Phantom Code helps solve LeetCode problems during live interviews
Start Interview
⌘I
Online Round
⌘O
Hide⌘B
Interview
Listening
Think
Solve Minimum Absolute Difference in Sliding Submatrix — You are given an m x n integer matrix grid and an integer k. For every contiguou...
Here's the optimal approach using Array:
def solve(input):
# Optimal O(n) solution
return result
Time: O(n) | Space: O(n)
Start Over ⌘G
Think & Crack ⌘↵
Undetectability Checklist
Run compatibility test before interviews
Use recommended Zoom version settings
Enable advanced screen capture options
Verify native desktop architecture
Test with screen recording software
Platform Compatibility
Zoom
Supported
Google Meet
Supported
HackerRank
Supported
CodeSignal
Supported
CoderPad
Supported
Teams
Supported
User results and traction
Thousands of developers use Phantom Code. Social proof signals that this approach helps real candidates land offers across a range of companies.
Undetectability and technical details
Our native desktop architecture avoids common detection vectors used by browser extensions. We provide a clear checklist so you can run basic checks and confirm the app will be invisible.
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 Minimum Absolute Difference in Sliding Submatrix and using Phantom Code during coding interviews.
How does Phantom Code help me solve coding problems like Minimum Absolute Difference in Sliding Submatrix 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 Minimum Absolute Difference in Sliding Submatrix?
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 Minimum Absolute Difference in Sliding Submatrix?
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 Minimum Absolute Difference in Sliding Submatrix 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 Minimum Absolute Difference in Sliding Submatrix 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 Minimum Absolute Difference in Sliding Submatrix 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 Minimum Absolute Difference in Sliding Submatrix 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 Minimum Absolute Difference in Sliding Submatrix interviews?
Yes. Phantom Code works with all major coding platforms including LeetCode, HackerRank, CodeSignal, CoderPad, HackerEarth, and any browser-based coding environment.
₹999/month. Zero Detection Cases.
The only AI interview tool with an undetectable desktop overlay, real-time audio listening, and personalized AI responses.