Graphical methods to solve linear programming problem

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(a) What are the different graphical methods to solve a linear programming problem? Briefly describe the steps needed in each method.

(b) What is an infeasible linear programming problem? How do we find if a given linear programming problem is infeasible? Give a real world example of an infeasible linear programming problem.

(c) Define the slack and surplus variables. What do they represent? What is (are) the difference(s) between a slack and a surplus variable?

(d) Briefly describe the important parts of each step needed to make a decision using decision sciences models.

Reference no: EM131268951

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