Optimizing optimization algorithms: Getting best results when approximating solutions to complex engineering problems

Optimization algorithms, which try to find the minimum values of mathematical functions, are everywhere in engineering. Among other things, they're used to evaluate design tradeoffs, to assess control systems, and to find patterns in data. Scientists have come up with a way to generate a sequence of simplified functions that guarantees the best approximation that the method can offer.

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