The problem of minimizing a function f has the same solution (or solutions) as the problem of _______, so all of the results for maximization have easy corollaries for minimization.

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Optimization is the process where you train the model iteratively that results in a maximum and minimum function evaluation. Optimization is the problem of finding a set of inputs to an objective function that results in a maximum or minimum function evaluation. Optimization helps you get better results.


1. The problem of minimizing a function f has the same solution (or solutions) as the problem of _______, so all of the results for maximization have easy corollaries for minimization.