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2 cards from this section. Quick, good the night before a test.
What is the objective function in a linear programming problem?
Think about what we are trying to achieve in the problem.
What are constraints in linear programming?
Consider the limits placed on resources in a problem.
What is the primary goal of linear programming?
Think about optimization.
True or False: The feasible region in linear programming can never be empty.
Recall situations where constraints might conflict.
Design a linear programming model for a factory producing two types of toys with varying profit margins and material constraints. Identify the feasible region graphically.
Dive into the limitation and profit margin for each toy.
Using the graphical method, resolve the following linear programming problem: Maximize Z = 3x + 4y, subject to x + 2y ≤ 8 and 3x + y ≤ 8.
The intersection of constraints will help you find the vertex points.
5 more questions in this section. Enroll free to practise them all.
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