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Are the following objective functions for an LP model equivalent? That is, if they are both used, one at a time, to solve a problem with exactly the same constraints, will the optimal values of X1 and X2 be the same in both cases? Why or why not? MAX: 2X1 + 3X2 MIN: -2X1 - 3X2
Why would they remain the same?
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Which of the following actions would expand the feasible region of an LP model? A.Loosening the constraints. B.Tightening the constraints. C.Multiplying each constraint by
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