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Browse 3 real-world technical and behavioral interview questions about Binary search. 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.
The quadratic dynamic programme asks for the best chain ending at each index. The faster version keeps one array where slot j holds the smallest possible tail of an increasing subsequence of length j plus one; that array stays sorted, so each element is placed by binary search for O of n log n.
Search a rotated sorted array in O(log n) by finding which half is sorted at each midpoint, then keeping the half where the target can legally fall. With duplicates, equal endpoints can hide the pivot, so the worst case becomes linear.