Linear Programming - Applications & Optimization

Grade 12 Maths Higher — Linear Programming - Applications & Optimization: 25 practice questions with instant scoring and explanations.

1. Practical LP: resource allocation, diet problem, transportation:
2. Diet problem minimizes cost subject to:
3. Transportation problem optimizes:
4. Production optimization variables are:
5. Assignment problem uses:
6. Blending problem constraints include:
7. Inventory optimization balances:
8. Maximizing profit = selling price × quantity - costs:
9. Constraint 3x + 2y ≤ 20 for workshop hours means:
10. Dual problem in LP:
11. Shadow price is:
12. LP for workforce scheduling:
13. Sensitivity analysis asks:
14. Post-optimality analysis examines:
15. Integer programming restricts variables to:
16. Binary variables are used for:
17. Branch and bound solves:
18. Gomory cuts in integer LP:
19. LP with uncertainty uses:
20. Multi-objective LP balances:
21. Network flow problems:
22. Critical path method uses:
23. Queuing theory optimizes:
24. Real-world LP rarely has:
25. Review question for Linear Programming - Applications & Optimization