Linear programming Models Basic Concepts T/F
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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.
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Solution Summary
This posting answers six true false questions on concepts related to linear programming model. The questions are related to basic concepts and are of easy difficulty level. A small explanation is added to the answer wherever felt necessary.
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1. A linear programming model consists of decision variables, constraints, but no objective function.
False. It ahs objective function also
2. In a linear programming model, the number of constraints must be less than ...
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