Class 12 Mathematics Chapter 12 Linear Programming Quiz 10 (60 MCQs)

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1. Which of the following is an application of linear programming?
2. Rachel owns a car and a moped. She has at most 12 gallons of gas to be used between the car and the moped. The car's tank holds at most 10 gallons and the moped's 3 gallons. The mileage for the car is 20 mpg and for the moped is 100 mpg. What is the objective function?
3. In dual simplex method, the starting solution is .....
4. Why is it important to find the vertices of the feasible region?
5. The number of constraints in dual is equal to number of variables in primal.
6. What are some real-world applications of linear programming?
7. What is the first step in applying linear programming?
8. Where is the optimal solution of a linear programming problem typically found?
9. A department store sells perfume and cologne. ~The store sells at least 2 bottles of perfume a day, but no more than 25.~The store sells more than 3 bottles of cologne, but less than 20 a day. Which of the following would represent one of the constraints for the feasible region?
10. What is the first step in solving LP problems using Microsoft Excel?
11. How can manufacturing companies benefit from graphical solutions in linear programming?
12. What is the significance of vertices in the feasible region of linear programming?
13. In a standard linear programming problem, the objective function is:
14. Calculate the determinant of the matrix [[1, 2, 3], [0, 1, 4], [5, 6, 0]].
15. Determine if the system of equations 2x + y = 3 and 4x + 2y = 6 is consistent.
16. How do you find the maximum value of an objective function?
17. The feasible region is:
18. The feasible region for an LPP is always a ..... polygon.
19. In forest management planning, what is the goal of linear programming?
20. The type of constraints which specifies maximum capacity of a resource is ..... constraints.
21. Define Corner Points
22. How can the graphical method be used to solve linear programming problems?
23. What is the purpose of conducting sensitivity analysis in LP problems?
24. In the graphical method, how many variables can be handled?
25. How can you convert a maximization problem into a minimization problem?
26. What is a constraint in linear programming?
27. Which of the following is true about the feasible region?
28. The solution space in LPP is called:
29. Given the relation T on the set D = {1, 2, 3} defined by T = {(1, 1), (2, 2), (3, 3), (1, 2), (2, 3)}, is T an equivalence relation? Why or why not?
30. Tentukan x dari $2x+5=11$
31. A redundant constraint cannot be removed from the problem without affecting the feasible region.9. True or False?
32. In dual simplex method, the starting solution satisfies the ..... condition
33. What does the term 'redundancy' refer to in linear programming?
34. What does the term 'shadow price' indicate in Linear Programming?
35. For questions 3-6, use the following scenario:Suppose you can spend no more than 15 hours a week at your two jobs. Mowing lawns pays $ 3 an hour and babysitting pays $ 5 an hour. You need to earn at least $ 60 a week.Let x = # of hours mowingLet y = # of hours babysittingWhich system of inequalities represents the scenario?
36. What is the role of the graphical method in linear programming?
37. What tool is recommended for teaching graphical solutions to linear inequalities in Session 10.3?
38. What is an optimal solution?
39. Which method is used to find the optimal solution in graphical linear programming?
40. Question 8:What is the significance of the feasible region in solving linear programming problems?
41. 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.
42. In the graph, this is the intercept when the value of x = 0
43. The assignment problem is a special case of the transportation problem in which one agent is assigned to one, and only one, task.
44. Find the inverse of the matrix [[1, 2], [3, 4]].
45. All linear programs must seek to maximize some quantity.
46. The technique that helps to optimize a function subject to constraints by incorporating the constraints into the objective function via multipliers is called:
47. First step in formulating Linear Programming
48. What area on a graph shows all possible solutions?
49. A constraint in LPP represents:
50. Which of the following problems is an example of a blending problem?
51. Decision variables can never be
52. What is the objective function in the given linear programming problem?
53. For a minimization problem where z =-3x$_{1}$ + 2x$_{2}$-5x$_{3}$, the corresponding maximization objective function in the standard form will be .....
54. 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?
55. 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:
56. What is the purpose of introducing slack variables in a linear programming model?
57. What is the balanced transportation model?
58. A decision model has the following input variables:Historical sales data and historical advertising budget. The model is considered to be probabilistic.
59. Can we have more than one optimal solution?
60. Which of the following error messages is displayed in Excel Solver when attempting to solve an unbounded problem?