Class 12 Mathematics Chapter 12 Linear Programming Quiz 26 (25 MCQs)

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1. What tool is recommended for teaching graphical solutions to linear inequalities in Session 10.3?
2. What is an optimal solution?
3. Which method is used to find the optimal solution in graphical linear programming?
4. Question 8:What is the significance of the feasible region in solving linear programming problems?
5. If a problem has only less-than-or-equal-to constraints with positive coefficients for the variables, rounding down will always provide a feasible integer solution.
6. In the graph, this is the intercept when the value of x = 0
7. The assignment problem is a special case of the transportation problem in which one agent is assigned to one, and only one, task.
8. Find the inverse of the matrix [[1, 2], [3, 4]].
9. All linear programs must seek to maximize some quantity.
10. The technique that helps to optimize a function subject to constraints by incorporating the constraints into the objective function via multipliers is called:
11. First step in formulating Linear Programming
12. What area on a graph shows all possible solutions?
13. A constraint in LPP represents:
14. What is the purpose of slack variables in linear programming?
15. Which of the following problems is an example of a blending problem?
16. Decision variables can never be
17. What is the objective function in the given linear programming problem?
18. For a minimization problem where z =-3x$_{1}$ + 2x$_{2}$-5x$_{3}$, the corresponding maximization objective function in the standard form will be .....
19. Sarah makes at least 18 bags a week. She can't make more than 7 big purses and she can't make more than 10 small purses. Sarah makes $ 30 for each small purse (x) and $ 50 for each big purse (y). What is the objective quantity?
20. Consider the following linear programming model.Min 2X1 + 3X2 Subject to:X1 + X2 $\geq$ 4, X1 $\geq$ 2, X1, X2 $\geq$ 0. This linear programming model has:
21. Discuss the role of objective function in linear programming and its importance.
22. What is the purpose of introducing slack variables in a linear programming model?
23. What is the balanced transportation model?
24. A decision model has the following input variables:Historical sales data and historical advertising budget. The model is considered to be probabilistic.
25. Can we have more than one optimal solution?