Linear Programming
Each subtopic includes About section, revision page link, 10 preview questions, and practice CTAs.
Introduction, related terminology (constraints, objective function, optimization)
SubtopicIntroduction, related terminology (constraints, objective function, optimization) under Linear Programming for Grade 12 CBSE.
Preview questions (no answers)
- 1.
Linear programming is a method for the ________ of a linear objective function.
A.Derivation
B.Optimization
C.Integration
D.Differentiation
- 2.
What is the shape of the region defined by ?
A.Triangle
B.Square
C.Circle
D.Trapezium
- 3.
The maximum value of subject to and is:
A.3
B.4
C.7
D.0
- 4.
Which of the following is a non-negativity constraint in a standard linear programming problem involving two products and ?
A.B.C.D. - 5.
The optimal value of the objective function is attained at the points where the 'isoprofit' line :
A.Crosses the x-axis
B.Is farthest from the origin while touching the feasible region
C.Is at its shortest length
D.Intersects the y-axis only
- 6.
If the feasible region for a LPP is unbounded, then a maximum value of the objective function :
A.Always exists
B.Never exists
C.May or may not exist
D.Is always at the origin
- 7.
An objective function is to be maximized subject to . What is the maximum value?
A.8
B.12
C.10
D.4
- 8.
The feasible region for an LPP is shown in the diagram. If the objective function is where , and the maximum value occurs at both and , what is the relationship between and ?
A.p = q
B.p = 2q
C.q = p
D.p = 0.5q
- 9.
An LPP objective function is . The feasible region is bounded by the vertices . Which vertex represents the maximum value of the objective function?
A.(0, 5)
B.(2, 4)
C.(5, 0)
D.(0, 2)
- 10.
In a linear programming problem, the constraints are , , , and . The feasible region is a triangle. Find the coordinates of the vertex that provides the minimum value for .
A.(60, 0)
B.(40, 20)
C.(80, 20)
D.(120, 0)
Download the worksheet for Linear Programming - Introduction, related terminology (constraints, objective function, optimization) to practice offline. It includes additional chapter-level practice questions.
Mathematical formulation of L.P. problems
SubtopicMathematical formulation of L.P. problems under Linear Programming for Grade 12 CBSE.
Preview questions (no answers)
- 1.
A vendor sells sodas () and juice (). He wants the number of juices to be no more than 40% of the total bottles. The constraint is:
A.B.C.D. - 2.
Which of the following describes the condition where the number of units produced cannot be negative?
A.B.C.D. - 3.
A constraint given as means:
A.is less than
B.is at least equal to
C.is exactly equal to
D.is greater than
- 4.
In a transportation problem, the total supply from a warehouse cannot exceed its capacity of 500 units. If and are units sent to two destinations, then:
A.B.C.D. - 5.
In a logistics problem, a truck can carry a maximum of 1000 kg. It carries two types of boxes: Box A (20 kg) and Box B (50 kg). The number of Box A must be at least twice the number of Box B. The weight constraint is:
A.B.C.D. - 6.
A company produces two types of juices, Apple and Orange. Each liter of Apple juice requires 2 kg of apples and each liter of Orange juice requires 3 kg of oranges. The company has 100 kg of apples and 150 kg of oranges. The constraint for oranges is:
A.B.C.D. - 7.
A publisher sells a hardcover book for ₹600 and a paperback for ₹200. It costs ₹300 to produce a hardcover and ₹100 for a paperback. The publisher has ₹30,000 for production. Let be hardcover and be paperback. The production cost constraint is:
A.B.C.D. - 8.
A mobile manufacturer makes two models: and . Each requires 10 units of component and 5 units of component . Each requires 6 units of and 10 units of . There are 600 units of and 500 units of available. If the production of should be at least 20% of the total production, the constraint is:
A.B.C.D. - 9.
A printing company prints two types of magazines: and . Magazine requires 2 hours of layout and 1 hour of printing. Magazine requires 1 hour of layout and 3 hours of printing. Total layout time is 40 hours and printing time is 60 hours. If the company must print at least 5 of each, and the total magazines cannot exceed 30, and the number of magazines must be at least 3/4 of the number of magazines, the ratio constraint is:
A.B.C.D. - 10.
A company produces two types of toys: and . Toy requires 4 minutes of molding and 8 minutes of painting. Toy requires 6 minutes of molding and 4 minutes of painting. The molding machine is available for 2 hours and the painting machine for 3 hours. If the number of toys must be at least twice the number of toys minus 10, the constraint is:
A.B.C.D.
Download the worksheet for Linear Programming - Mathematical formulation of L.P. problems to practice offline. It includes additional chapter-level practice questions.
Graphical method of solution for problems in two variables
SubtopicGraphical method of solution for problems in two variables under Linear Programming for Grade 12 CBSE.
Preview questions (no answers)
- 1.
If a feasible region is defined by , , , how many corner points (vertices) does it have?
A.B.C.D. - 2.
At which point in the feasible region shown does the function reach its maximum value?
A.B.C.D. - 3.
The region is the first quadrant. If we add , the region becomes a vertical strip. What is the -coordinate of all points on the right boundary?
A.B.C.D. - 4.
For the constraint , , , identify the shaded feasible region in the plot.
A.A square
B.A circle
C.A triangle
D.A line
- 5.
In an LPP, the constraints are , , . What is the corner point where the two boundary lines and intersect?
A.B.C.D. - 6.
For the objective function , the corner points are . Find the minimum value of .
A.B.C.D. - 7.
The feasible region is bounded by , , , . Identify the vertex that is NOT on the axes.
A.B.C.Both and
D. - 8.
A craftsman makes wooden clocks and frames. Clock production takes 2 hours and frame production takes 1 hour. Total labor hours available are 8. Clock uses 1 unit of wood and frame uses 2 units. Total wood available is 10 units. Profit for clock is Rs 300 and frame is Rs 200. Which point in the feasible region yields the highest profit?
A.B.C.D. - 9.
Two vitamins and are to be extracted from two foods and . One unit of gives 2 units of and 1 unit of . One unit of gives 1 unit of and 2 units of . Requirements are at least 10 units of and 10 units of . Costs are Rs 5 for and Rs 7 for . Find the optimal mix of and to minimize cost.
A.B.C.D. - 10.
A factory makes two types of bolts, A and B. Processing requires two machines, and . Bolt A requires 1 hour on and 3 hours on . Bolt B requires 2 hours on each. is available for 10 hours and for 15 hours. If the profit on A is Rs 5 and on B is Rs 4, find the coordinates that maximize profit.
A.B.C.D.
Download the worksheet for Linear Programming - Graphical method of solution for problems in two variables to practice offline. It includes additional chapter-level practice questions.
Feasible and infeasible regions (bounded and unbounded)
SubtopicFeasible and infeasible regions (bounded and unbounded) under Linear Programming for Grade 12 CBSE.
Preview questions (no answers)
- 1.
If the constraints are and , the feasible region is:
A.Unbounded
B.A strip
C.Empty set
D.The origin
- 2.
The feasible region for contains the point:
A.(2, 1)
B.(1, 2)
C.(5, 0)
D.(10, 5)
- 3.
In LPP, the constraints are known as:
A.Main constraints
B.Non-negativity constraints
C.Feasible constraints
D.Bounded constraints
- 4.
If a problem has the constraint , the feasible region must lie on:
A.A vertical line
B.A horizontal line
C.The x-axis
D.The y-axis
- 5.
If the feasible region is bounded by , , and , then any point inside the region satisfies:
A.B.C.D. - 6.
In the LPP, the feasible region is the set of all points that satisfy:
A.Only the non-negativity constraints
B.Only the objective function
C.All the given constraints simultaneously
D.At least one of the given constraints
- 7.
For a system , the corner points include:
A.and
B.and
C.and
D.and
- 8.
If the objective function is such that and , and the feasible region is the first quadrant, where does the maximum occur?
A.At infinity
B.At (0,0)
C.Along the x-axis
D.No maximum exists
- 9.
The region defined by has how many vertices?
A.0
B.1
C.2
D.3
- 10.
Consider the constraints . The region is symmetric about which line?
A.B.C.D.
Download the worksheet for Linear Programming - Feasible and infeasible regions (bounded and unbounded) to practice offline. It includes additional chapter-level practice questions.
Optimal feasible solutions
SubtopicOptimal feasible solutions under Linear Programming for Grade 12 CBSE.
Preview questions (no answers)
- 1.
Given the objective function , and corner points , what is the maximum value of ?
A.4
B.6
C.8
D.5
- 2.
If , what is the value of at the vertex ?
A.0
B.12
C.6
D.-2
- 3.
In an LPP, the constraints are usually represented by:
A.Linear equalities
B.Linear inequalities
C.Quadratic equations
D.Both A and B
- 4.
For , which corner point gives the maximum value among ?
A.(6, 0)
B.(4, 1)
C.(0, 3)
D.(0, 0)
- 5.
Find the maximum of given the corner points are and .
A.2
B.3
C.2.5
D.1
- 6.
Maximize subject to . The maximum value of is achieved at:
A.(1, 0) only
B.(0, 1) only
C.(0.5, 0.5) only
D.Infinitely many points
- 7.
If the feasible region is bounded by , the objective function has its maximum value:
A.10
B.21
C.15
D.0
- 8.
For the LPP: Maximize subject to . The maximum value of is:
A.10
B.12.5
C.235/19
D.9
- 9.
Maximize subject to . The corner points are . The maximum value of is:
A.15
B.18
C.10
D.20
- 10.
In a LPP, if the objective function is to be maximized and the feasible region is the quadrilateral with vertices , and is maximum at and , then:
A.B.C.D.
Download the worksheet for Linear Programming - Optimal feasible solutions to practice offline. It includes additional chapter-level practice questions.
Linear Programming Problem and its Mathematical Formulation
SubtopicLinear Programming Problem and its Mathematical Formulation under Linear Programming for Grade 12 CBSE.
Preview questions (no answers)
- 1.
In a diet problem, which constraint is likely to be used for a nutrient like 'Vitamin C'?
A.B.C.D. - 2.
What is the shape of the region defined by ?
A.A triangle
B.A rectangle
C.An infinite vertical strip
D.A circle
- 3.
Can the objective function value be negative at the optimal solution?
A.No, never
B.Yes, in minimization problems
C.Only if variables are negative
D.Only if there are no constraints
- 4.
The term 'Feasible' in LPP refers to solutions that are:
A.Possible under the given constraints
B.Profitable
C.Negative
D.Ideal
- 5.
If , and the feasible region corner points are and , find the minimum value of .
A.0
B.5
C.-8
D.-3
- 6.
For the constraints , which of the following is a corner point of the feasible region?
A.B.C.D. - 7.
The solution set of the inequality is:
A.A half-plane containing the origin
B.A half-plane not containing the origin
C.The entire xy-plane
D.A line
- 8.
In a linear programming problem, the objective function to be maximized is , where is a positive constant. The feasible region is determined by the constraints , , , and . If the maximum value of occurs uniquely at the corner point , which is the intersection of the boundary lines and , find the range of values for .
A.B.C.D. - 9.
For the constraints , and objective function , the minimum value is:
A.0
B.12
C.16
D.4
- 10.
In the context of LPP, a constraint is 'binding' or 'active' at a solution point if:
A.The point makes the inequality a strict equality
B.The constraint is
C.The constraint is redundant
D.The constraint is not satisfied
Download the worksheet for Linear Programming - Linear Programming Problem and its Mathematical Formulation to practice offline. It includes additional chapter-level practice questions.
Graphical method of solving linear programming problems
SubtopicGraphical method of solving linear programming problems under Linear Programming for Grade 12 CBSE.
Preview questions (no answers)
- 1.
Find the minimum value of over the region defined by , , and .
A.B.C.D. - 2.
If the constraints are and with , the feasible region is a:
A.Triangle
B.Square
C.Pentagon
D.Circle
- 3.
In a LPP, the objective function is always:
A.Quadratic
B.Linear
C.Cubic
D.Constant
- 4.
Calculate the value of at the vertex of a feasible region.
A.B.C.D. - 5.
Given , and corner points , , . Where does the minimum value of occur?
A.B.C.D.All of these
- 6.
If the feasible region is bounded by , , , what is the maximum of ?
A.B.C.D. - 7.
Which of the following describes the region , , in the first quadrant?
A.Bounded
B.Unbounded
C.Empty
D.A single point
- 8.
Solve the following LPP graphically: Maximize subject to , , , . Determine the coordinates of the corner point that yields the maximum value.
A.(10, 40)
B.(20, 30)
C.(30, 0)
D.(10, 0)
- 9.
A small firm manufactures necklaces and bracelets. The total number of items it can handle per day is at most 24. A bracelet takes 1 hour to make and a necklace takes 1.5 hours. The maximum time available per day is 30 hours. If the profit on a bracelet is Rs 100 and on a necklace is Rs 150, what is the maximum profit?
A.Rs 2400
B.Rs 2800
C.Rs 3000
D.Rs 3200
- 10.
An advertising agency is planning a campaign. They can use Radio and TV ads. Each Radio ad costs Rs 4,000 and reaches 10,000 people. Each TV ad costs Rs 20,000 and reaches 60,000 people. The agency has a budget of Rs 100,000 and must use at least 2 TV ads. Also, the number of Radio ads must be at least the number of TV ads. To maximize reach, how many Radio ads should be used?
A.5
B.10
C.15
D.20
Download the worksheet for Linear Programming - Graphical method of solving linear programming problems to practice offline. It includes additional chapter-level practice questions.