When people have challenging problems to solve and decisions to make, they often look at all of the options they have an go through a process, in order to select the one solutions that seems to be the best. Math optimization problems involve the same concept, only the problem solver is devising a number of mathematical solutions and determining which factors and functions are the best to use.
Math optimization problems are actually quite complex and the optional solutions can be quite numerous. It then requires that the problem solver perform quite a few mathematical solutions and arrive at the optimal one, hoping, of course that s/he has plugged in the right figures and has not transposed such things as the constraint quantity and the quantity that must be optimized. Unfortunately, these types of problems entail hours of work, and students often do not have the kind of the time they need to complete them and submit them on time.
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