Minimum Non-Zero Product of the Array Elements
A medium-tier problem at 36% community acceptance, tagged with Math, Greedy, Recursion. Reported in interviews at PayPal and 0 others.
Minimum Non-Zero Product of the Array Elements sits at 36% acceptance, which means most candidates miss the greedy insight on first try. PayPal has asked it. You're given an array where you can perform a specific operation repeatedly (swap or modify elements within constraints). The goal is to make the product as small as possible while keeping it non-zero. The trap: thinking you need to grind through all states or simulate the process. The truth: there's a math-based greedy move that collapses the search space. If this hits your assessment and you blank, StealthCoder surfaces the pattern in seconds, invisible to the proctor.
Companies that ask "Minimum Non-Zero Product of the Array Elements"
Minimum Non-Zero Product of the Array Elements 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 Amazon engineer who realized the OA tests how well you memorized 200 problems, not how well you code.
Get StealthCoderThe trick here is recognizing that you don't simulate or recurse through operations. Instead, you identify which element will become the minimum and force the others toward it. The greedy play is almost always to pair the largest element with the smallest, repeatedly narrowing the gap until one dominates the product. Many candidates waste time coding a recursive tree or BFS through states when the optimal strategy is pure math: figure out the final floor (the smallest non-zero value you can force), then compute how many multiplications of that floor you need. The recursion topic in the problem list hints at a brute-force path; ignore it. Math and Greedy are the real weapons. When you hit this live and the simulation approach feels slow, StealthCoder cuts through to the closed-form answer.
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Minimum Non-Zero Product of the Array Elements recycles across companies for a reason. It's medium-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 Amazon engineer who realized the OA tests how well you memorized 200 problems, not how well you code. Works on HackerRank, CodeSignal, CoderPad, and Karat.
Minimum Non-Zero Product of the Array Elements interview FAQ
Is this problem actually medium difficulty?+
The 36% acceptance rate suggests it's harder than the label implies. Most candidates try simulation or recursion first, which leads to timeout or wrong output. The real difficulty is spotting the greedy/math pattern before you commit code.
How does the Greedy topic apply here?+
Greedy means always pairing the largest and smallest elements to minimize the spread, eventually forcing the product toward a single dominant term. It's the insight that breaks the problem open.
Why is Math listed as a topic?+
Once you see the greedy pattern, you need to calculate the final minimum value and count multiplications. It's modular arithmetic or simple exponentiation, not heavy number theory.
Will PayPal ask this again?+
One company on record doesn't guarantee future frequency, but PayPal's track record on math and greedy problems is solid. Know the pattern and you're covered.
What's the biggest trap candidates fall into?+
Coding a recursive or iterative simulator that explores every possible operation sequence. That's correct logic but exponentially slow. The greedy math approach is O(log n) or O(1) depending on implementation.
Want the actual problem statement? View "Minimum Non-Zero Product of the Array Elements" on LeetCode →