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Core
Greedy Algorithms
Greedy algorithms construct a solution by always taking the locally best choice and never reconsidering. They are fast and simple, yet correct only when a greedy choice is provably globally optimal, which you back with an exchange argument. Applied-AI interviews test greedy because the screen is whether you can separate when it works (interval scheduling, Huffman) from when it quietly returns a wrong answer, and whether you switch to DP instead.
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