Class 12 Mathematics Chapter 12 Linear Programming Quiz 20 (25 MCQs)

Quiz Instructions

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1. What is the minimum value of the objective function in the given linear programming problem?
2. If a function has no maximum value, the shaded regions of the constraints are ..... since they do not form a closed figure.
3. What do the vertices of the feasible region represent?
4. What are restrictions in a Linear Programming Problem called?
5. Which key characteristic of an NLP problem makes finding the absolute best solution difficult?
6. Which of the following is a constraint in a linear programming problem?
7. A transportation problem can always be represented by balanced model.
8. In the graphical method, the optimal solution lies:
9. Calculate the determinant of the matrix [[3, 2], [1, 4]].
10. Solve by matrices. $4x + 9y = 28$ $-4x-y =-28$
11. The first step in formulating an LP problem is
12. How is the optimal solution determined in linear programming?
13. Which method for solving NLP problems follows the steepest descent of the objective function to find a local optimum?
14. In linear programming the constraints can be linear, quadratic, or cubic.
15. What happens if the feasible region in the graphical method is unbounded?
16. How do you determine which side of the line to shade when graphing an inequality?
17. What role do decision variables play in linear programming?
18. $5x+y\le120$
19. And four destinations will have seven decision variables.
20. What does the graphical method of solving linear programming problems involve?
21. The ratio of y to x is at least 2:5.(Nisbah y kepada x sekurang-kurangnya 2:5)
22. What role do constraints play in linear programming?
23. Which of the following methods is commonly used to solve linear programming problems?
24. Which method is used for solving LPP with more than two variables?
25. Which method is useful for problems with two variables in linear programming?