Linear Programming - Part 3

What is an optimal solution in a linear programming problem?

• The maximum value of a decision variable.

• The minimum value of a constraint.

• The maximum or minimum value of an objective function.

• Any feasible solution.

For which type of linear programming problems is the graphical method typically used?

• Problems with three or more decision variables.

• Problems with exactly two decision variables.

• Problems with no constraints.

• Problems that require minimization only.

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What defines the feasible region in a linear programming problem?

• The area where the objective function is maximized.

• The common region determined by all the constraints.

• The area outside of all constraints.

• The region containing only negative values for variables.

How is the optimal solution found using the Corner Point Method?

• By selecting any point within the feasible region.

• By substituting the coordinates of corner points into the objective function.

• By graphing only the objective function.

• By ignoring all constraints.