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1. Problems which seek to maximise or, minimise profit or, cost form a general class of problems called ………
A. Simple problems
B. Difficult problems
C. Non-linear problems
D. Optimisation problems
2. A ……… of a feasible region is a point in the region, which is the intersection of two boundary lines.
A. Section point
B. Corner point
C. Reasonable point
D. Vertex point
3. The linear inequalities or equations or restrictions on the variables of a linear programming problem are called ...... The conditions x ≥ 0 , y ≥ 0 are called .......
A. Objective functions, optimal value
B. Constraints, non-negative restrictions
C. Objective functions, non-negative restrictions
D. Constraints, negative restrictions
4. The common region determined by all the constraints including non-negative constraints x, y ≥ 0 of a linear programming problem is called the ……...
A. Bounded region
B. Simple region
C. Infeasible region
D. Feasible region
5. Let Z = ax + by is a linear objective function. Variables x and y are called ……… variables.
A. Independent
B. Continuous
C. Decision
D. Dependent
6. A linear function of several variables x and y is called ……...
A. Non-linear function
B. Optimal function
C. Objective function
D. Simple function
7. Every point of feasible region is called a ……… to the problem.
A. Simple solution
B. Normal solution
C. Difficult solution
D. Feasible solution
8. How many of the following points satisfy the inequality 2x - 3y > -5? (1, 1), (-1, 1), (1, -1), (-1, -1), (-2, 1), (2, -1), (-1, 2) and (-2, -1)
A. 2
B. 4
C. 6
D. 5
9. The linear inequalities on the variables of a linear programming problem are called ………
A. Variables
B. Non-variable values
C. Solutions
D. Constraints
10. The feasible solution of a L.P.P. belongs to
A. First and second quadrant
B. Second quadrant
C. Only first quadrant
D. First and third quadrant
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