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Linear Programming: Theory and Applications

Linear Programming: Theory and Applications

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gion. The solution of the linear program must be a point (x1;x2;:::;xn) in the feasible region, or else not all the constraints would be satis ed. The following example from Chapter 3 of Winston [3] illustrates that ge-ometrically interpreting the feasible region is a useful tool for solving linear programming problems with two decision variables.

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