MathWorks coding interview
questions, leaked.
29 problems reported across recent MathWorks interviews. Top patterns: array, dynamic programming, string. The list below is what most reported candidates actually saw, plus the honest play if you can't grind all of it.
MathWorks interviews lean heavily on array manipulation and dynamic programming. Out of 29 problems in their reported list, 16 are array-based and 10 require DP thinking. You're looking at a 45% easy-to-medium split, which sounds reasonable until you hit the 11 hard problems scattered throughout. The hard ones (Count Subarrays With Fixed Bounds, Binary Tree Cameras, Last Substring in Lexicographical Order) require pattern recognition you won't improvise under pressure. That's where StealthCoder runs invisibly during your assessment, surfacing solutions in real time if you blank on a monotonic queue or DP state transition.
Top problems at MathWorks
| # | Problem | Diff | Frequency | Pass % | Patterns |
|---|---|---|---|---|---|
| 01 | Count Subarrays With Fixed Bounds | HARD | 100.0 | 69% | Array · Queue · Sliding Window |
| 02 | Maximum Number of Alloys | MEDIUM | 98.5 | 39% | Array · Binary Search |
| 03 | Sell Diminishing-Valued Colored Balls | MEDIUM | 91.2 | 30% | Array · Math · Binary Search |
| 04 | Total Cost to Hire K Workers | MEDIUM | 91.2 | 43% | Array · Two Pointers · Heap (Priority Queue) |
| 05 | Reshape the Matrix | EASY | 91.2 | 64% | Array · Matrix · Simulation |
| 06 | Binary Tree Cameras | HARD | 88.9 | 47% | Dynamic Programming · Tree · Depth-First Search |
| 07 | Shopping Offers | MEDIUM | 88.9 | 52% | Array · Dynamic Programming · Backtracking |
| 08 | Earliest Second to Mark Indices I | MEDIUM | 88.9 | 35% | Array · Binary Search |
| 09 | Earliest Second to Mark Indices II | HARD | 88.9 | 20% | Array · Binary Search · Greedy |
| 10 | Maximum Palindromes After Operations | MEDIUM | 88.9 | 43% | Array · Hash Table · String |
| 11 | Keyboard Row | EASY | 88.9 | 72% | Array · Hash Table · String |
| 12 | Last Substring in Lexicographical Order | HARD | 88.9 | 35% | Two Pointers · String |
| 13 | Count Anagrams | HARD | 88.9 | 35% | Hash Table · Math · String |
| 14 | Minimum Cost Tree From Leaf Values | MEDIUM | 88.9 | 68% | Array · Dynamic Programming · Stack |
| 15 | Remove Colored Pieces if Both Neighbors are the Same Color | MEDIUM | 88.9 | 63% | Math · String · Greedy |
| 16 | Pass the Pillow | EASY | 80.5 | 57% | Math · Simulation |
| 17 | String Transformation | HARD | 80.5 | 25% | Math · String · Dynamic Programming |
| 18 | Minimum Edge Reversals So Every Node Is Reachable | HARD | 72.6 | 55% | Dynamic Programming · Depth-First Search · Breadth-First Search |
| 19 | Number of Divisible Triplet Sums | MEDIUM | 60.7 | 68% | Array · Hash Table |
| 20 | Longest String Chain | MEDIUM | 60.7 | 62% | Array · Hash Table · Two Pointers |
| 21 | Sum of Distances in Tree | HARD | 60.7 | 65% | Dynamic Programming · Tree · Depth-First Search |
| 22 | Split Array Largest Sum | HARD | 60.7 | 58% | Array · Binary Search · Dynamic Programming |
| 23 | Distinct Subsequences | HARD | 51.2 | 50% | String · Dynamic Programming |
| 24 | Reverse Nodes in k-Group | HARD | 51.2 | 63% | Linked List · Recursion |
| 25 | Beautiful Arrangement | MEDIUM | 51.2 | 65% | Array · Dynamic Programming · Backtracking |
| 26 | Convert Binary Number in a Linked List to Integer | EASY | 51.2 | 81% | Linked List · Math |
| 27 | Break a Palindrome | MEDIUM | 51.2 | 52% | String · Greedy |
| 28 | Maximum Difference Between Increasing Elements | EASY | 51.2 | 66% | Array |
| 29 | Longest Repeating Character Replacement | MEDIUM | 51.2 | 57% | Hash Table · String · Sliding Window |
Frequencies derived from public community-tagged interview reports. Click a row to view on LeetCode.
You have a week, maybe less. You can't out-grind the list above. StealthCoder runs invisibly during the actual MathWorks OA. The proctor cannot see it. Screen share cannot detect it. Built by an engineer who got tired of watching his cohort grind for six months and still get filtered at the OA stage.
Get StealthCoder- array16 · 55%
- dynamic programming10 · 34%
- string10 · 34%
- greedy7 · 24%
- math6 · 21%
- hash table6 · 21%
- binary search5 · 17%
- depth first search3 · 10%
- sorting3 · 10%
- heap priority queue3 · 10%
Array problems dominate here, but they're not basic iteration. MathWorks pairs arrays with binary search (5 problems), sliding windows, and greedy logic to create medium-to-hard hybrids. Dynamic programming appears in 10 problems, often combined with arrays or trees. String problems (10 total) cluster around hashing and anagram logic. The distribution tells you to drill sliding-window array patterns first, then DP state design, then greedy optimization. Binary search is the anchor for constraint-solving problems like Maximum Number of Alloys. You'll see simulation (3 problems) and heap operations (3 problems) sprinkled in. If you haven't practiced monotonic queues or bitmask DP, StealthCoder is your safety net on the live assessment when time pressure hits.
Companies with similar patterns
If you prepped for MathWorks, these companies recycle ~60% of the same topics.
You've seen the list.
Now make sure you pass MathWorks.
Memorizing every problem above in a week is a fantasy. StealthCoder is the hedge: an AI overlay that's invisible during screen share. It reads the problem on screen 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.
MathWorks interview FAQ
How many array problems should I solve before the MathWorks interview?+
Focus on 8 to 10 array problems that combine sliding windows, two pointers, or binary search. MathWorks uses arrays as scaffolding for harder patterns. Prioritize Count Subarrays With Fixed Bounds and the "Earliest Second" problems. Solve fewer, understand patterns deeper.
Is dynamic programming required for MathWorks?+
Yes. 10 of 29 problems use DP, and MathWorks pairs it with arrays and trees. Expect memoization and bitmask DP. Shopping Offers and Minimum Cost Tree From Leaf Values are representative. You need solid state-transition thinking, not just memorized solutions.
Should I study string problems or focus on arrays first?+
Arrays first. 16 of 29 problems center on arrays. String problems (10 total) usually appear alongside hashing or greedy logic, so they emerge naturally from array practice. Once arrays feel solid, tackle string-specific patterns like Count Anagrams and Last Substring.
What topics can I skip for MathWorks?+
Sorting and heap operations appear infrequently (3 problems each). Don't skip them entirely, but they're lower priority. Depth-first search (3 problems) matters mainly for tree-based DP like Binary Tree Cameras. Focus 80% of time on arrays, DP, and binary search.
How do I prepare for the hard problems without burning out?+
The 11 hard problems cluster around monotonic patterns and DP optimization. Spend 3 to 4 days drilling one hard problem deeply, then move on. You can't memorize your way through MathWorks. Understand why Count Subarrays works before hitting the next one.