I'm still a bit fuzzy on the difference between constrained optimization and impact analysis, but I'm pretty sure A is the right answer here. Time to hit the books!
Easy peasy, A is the way to go. Linear programming is all about finding the optimal solution while meeting certain constraints. Can't go wrong with that.
I was a bit unsure at first, but after thinking it through, I agree that A is the best choice here. Constrained optimization seems like the most relevant concept.
I think it's A) Constrained optimization because it involves maximizing or minimizing a linear objective function subject to linear equality and inequality constraints.
I think it's A) Constrained optimization because it involves maximizing or minimizing a linear objective function subject to linear equality and inequality constraints.
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