Linear programming Models Basic Concepts T/F

TRUE/FALSE

1. A linear programming model consists of decision variables, constraints, but no objective function.

2. In a linear programming model, the number of constraints must be less than the number of decision variables.

3. The values of decision variables are continuous or divisible.

4. All linear programming models exhibit a set of constraints.

5. Graphical solution to linear programming problems has an infinite number of possible objective function lines.

6. The reduced cost (shadow price) for a positive decision variable is 0.