Reshape the Matrix
A easy-tier problem at 64% community acceptance, tagged with Array, Matrix, Simulation. Reported in interviews at MathWorks and 0 others.
Reshape the Matrix is an easy problem that shows up in MathWorks interviews and similar assessments. It's deceptively simple: take a flat array and reshape it into a 2D matrix with specified dimensions. Most candidates see this and think it's a gimme, then either implement it cleanly or fumble the edge cases. The 64% acceptance rate tells you people are making mistakes on the constraints. If you hit this live and blank on the valid-reshape check, StealthCoder will surface a working solution in seconds while the proctor sees nothing.
Companies that ask "Reshape the Matrix"
Reshape the Matrix is the kind of problem that decides whether you pass. StealthCoder reads the problem on screen and surfaces a working solution in under 2 seconds. Invisible to screen share. The proctor sees nothing. Built by an engineer who got tired of watching his cohort grind for six months and still get filtered at the OA stage.
Get StealthCoderThe trap here is the reshape validity check. You can't reshape an array of length n into an m x n matrix unless the product m times n equals n. Code it wrong and you'll fail the test case where the reshape is impossible. The algorithmic part is trivial: iterate through the flat array and fill your 2D matrix row by row. Most stumbles happen because candidates skip the upfront validation or miscalculate dimensions. This is Array, Matrix, and Simulation all at once, which is why it's grouped that way. The real skill test is precision and attention to constraint handling, not algorithmic brilliance. If you're preparing for a live assessment and this problem catches you unprepared, StealthCoder eliminates the risk.
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Reshape the Matrix recycles across companies for a reason. It's easy-tier, and most candidates blank under the timer. StealthCoder is the hedge: an AI overlay invisible during screen share. It reads the problem and surfaces a working solution in under 2 seconds. Built by an engineer who got tired of watching his cohort grind for six months and still get filtered at the OA stage. Works on HackerRank, CodeSignal, CoderPad, and Karat.
Reshape the Matrix interview FAQ
Is Reshape the Matrix actually easy or is the 64% acceptance rate a red flag?+
The problem itself is easy. The 64% rate exists because candidates either skip the reshape-validity check or fail it in implementation. The algorithmic work is straightforward iteration. The acceptance gap comes from edge-case handling, not conceptual difficulty.
Does MathWorks ask this in every interview or is it a rare appearance?+
It appears in MathWorks assessments, but low company count suggests it's not a universal filter. Treat it as a problem you should be able to solve cleanly, not a make-or-break signal across all FAANG.
What's the trick to Reshape the Matrix?+
The trick is the validity check: if r times c does not equal the array length, return an empty result immediately. After that, iterate through the flat array and fill a 2D matrix row by row. No complex logic, just precision.
How does Reshape the Matrix relate to other matrix problems?+
It's a foundation problem. Once you can reshape matrices cleanly, you're ready for problems that require matrix manipulation, rotation, or traversal. It's Simulation in the sense that you're simulating a transformation, not solving a hard algorithmic puzzle.
What language should I use for this problem?+
Language doesn't matter. Use whatever you're most comfortable with. The core logic is the same in Python, Java, C++, or JavaScript. Focus on the validity check and clean loop structure, not language-specific tricks.
Want the actual problem statement? View "Reshape the Matrix" on LeetCode →