Daniel Dantas

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As we noted, discrete optimization’s commitment to whole numbers—a fire department can have one engine in the garage, or two, or three, but not two and a half fire trucks, or π of them—is what makes discrete optimization problems so hard to solve.
Algorithms to Live By: The Computer Science of Human Decisions
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