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4 cards from this section. Quick, good the night before a test.
Define linear programming.
Think about the purpose of this method in decision-making.
What is a feasible region?
Consider how constraints shape the area of possible solutions.
What is linear programming primarily used for?
Think about efficiency and resource allocation.
The optimal solution to a linear programming problem is found at which location?
Visualize the graph of constraints.
Given the constraints: x + 2y ≤ 8, x ≤ 4, y ≤ 5, find the feasible region and represent it graphically.
Remember to plot each boundary line and find where the shaded areas overlap.
Design a profit-maximizing strategy for a shop that sells three products A, B, and C using the constraints provided in the problem.
Start with the profit function and ensure it reflects the contribution of all products while respecting resource limits.
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