i know that a feasible region, is the region which satisfies all the constraints but i don't know exactly why is the unshaded region regarded as a feasible region
instead of the shaded region.
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Given definitions, or descriptions at least, of "point D" and "the feasible region",I might have had a shot at answering this one.
It is usually the answer in linear programming. The objective of linear programming is to find the optimum solution (maximum or minimum) of an objective function under a number of linear constraints. The constraints should generate a feasible region: a region in which all the constraints are satisfied. The optimal feasible solution is a solution that lies in this region and also optimises the obective function.
(6x)(5y)
78
the formula for the unshaded area is n=3*x