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Core
Greedy Algorithms
Greedy algorithms build a solution by always taking the locally best choice and never reconsidering. They are fast and simple, but only correct when a greedy choice is provably globally optimal, which you justify with an exchange argument. Applied-AI interviews probe greedy because the screen is whether you can tell when it works (interval scheduling, Huffman) from when it silently returns a wrong answer, and whether you reach for DP instead.
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