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Given m product types and n stores where each store can hold at most one type (but any amount), minimize the maximum number of items any store receives; this reduces to finding the smallest x such that sum ceil(quantities[i]/x) ≤ n, typically solved by binary-search on x with a greedy feasibility check.
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Microsoft
Leetcode 2064. Minimized Maximum of Products Distributed to Any Store
Interview reported: Jan 1, 2020 · 1 source report
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Source snapshot: Nov 12, 2026
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