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Browse 3 real-world technical and behavioral interview questions about Greedy. Review scenarios, edge cases, and architectural best practices.
When you cannot construct the answer but can cheaply test a candidate, and that test is monotone, binary search the answer's numeric range instead of the input. The feasibility check here is greedy day-packing, giving O(n log S) time, and the whole implementation hinges on one loop invariant. It also connects monotonicity to the point an interviewer is testing.
Sort by finishing time and take every meeting that starts no earlier than the last one you took. Earliest start and shortest duration both look reasonable and both give provably smaller answers, and the exchange argument for earliest finish is what the question is really asking for.
A greedy choice is safe when you can show at least one optimal solution contains it, usually via an exchange argument that swaps an optimum's first choice for yours without losing anything. Interval scheduling by earliest finish time admits that swap; coin change with arbitrary denominations does not.