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4 cards from this section. Quick, good the night before a test.
What is the main goal of linear programming?
Think about what we are trying to achieve with LP.
Define constraints in the context of linear programming.
Consider the limits you have in a problem.
What is the main purpose of linear programming?
Identify what outcomes LP can achieve.
True or False: The Simplex method always guarantees the best possible solution.
Consider the method’s purpose and design.
A company produces two types of chairs and aims to maximize its profit. Each type requires different amounts of resources. Formulate and solve the linear programming model.
Think about what profit contribution each type of chair brings.
If a linear programming model has four constraints and three decision variables, how many possible vertices could exist in the feasible region?
Visualize the constraints graphically to better understand their intersection.
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