When we play chess, we calculate extensively to find the “strongest” move on each of our turns. We hope that by spotting these most accurate moves step-by-step, we will beat our opponent eventually. This shares the similarity with the Greedy Algorithm in computer science in that both try to find the local best solution at each intermediate step, and a combination of these ...
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