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Linear Programming

Each subtopic includes About section, revision page link, 10 preview questions, and practice CTAs.

Introduction, related terminology (constraints, objective function, optimization)

Subtopic

Introduction, related terminology (constraints, objective function, optimization) under Linear Programming for Grade 12 CBSE.

About Topic & Revision

Preview questions (no answers)

  1. 1.

    Linear programming is a method for the ________ of a linear objective function.

    A.

    Derivation

    B.

    Optimization

    C.

    Integration

    D.

    Differentiation

  2. 2.

    What is the shape of the region defined by x≥0,y≥0,x≤2,y≤2x \geq 0, y \geq 0, x \leq 2, y \leq 2?

    A.

    Triangle

    B.

    Square

    C.

    Circle

    D.

    Trapezium

  3. 3.

    The maximum value of Z=3x+4yZ = 3x + 4y subject to x≥0,y≥0x \geq 0, y \geq 0 and x+y≤1x + y \leq 1 is:

    A.

    3

    B.

    4

    C.

    7

    D.

    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

Subtopic

Mathematical formulation of L.P. problems under Linear Programming for Grade 12 CBSE.

About Topic & Revision

Preview questions (no answers)

  1. 1.

    A vendor sells sodas (xx) and juice (yy). He wants the number of juices to be no more than 40% of the total bottles. The constraint is:

    A.

    y≤0.4(x+y)y \leq 0.4(x + y)

    B.

    y≥0.4(x+y)y \geq 0.4(x + y)

    C.

    x≤0.4(x+y)x \leq 0.4(x + y)

    D.

    y≤0.4y \leq 0.4

  2. 2.

    Which of the following describes the condition where the number of units produced cannot be negative?

    A.

    x+y≥0x + y \geq 0

    B.

    x≥0,y≥0x \geq 0, y \geq 0

    C.

    x>0,y>0x > 0, y > 0

    D.

    x≤0,y≤0x \leq 0, y \leq 0

  3. 3.

    A constraint given as x−y≥0x - y \geq 0 means:

    A.

    xx is less than yy

    B.

    xx is at least equal to yy

    C.

    xx is exactly equal to yy

    D.

    yy is greater than xx

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

Subtopic

Graphical method of solution for problems in two variables under Linear Programming for Grade 12 CBSE.

About Topic & Revision

Preview questions (no answers)

  1. 1.

    If a feasible region is defined by x+y≤2x + y \le 2, x≥0x \ge 0, y≥0y \ge 0, how many corner points (vertices) does it have?

    A.

    11

    B.

    22

    C.

    33

    D.

    44

  2. 2.

    At which point in the feasible region shown does the function Z=y−xZ = y - x reach its maximum value?

    A.

    (2,0)(2, 0)

    B.

    (0,2)(0, 2)

    C.

    (0,0)(0, 0)

    D.

    (1,1)(1, 1)

  3. 3.

    The region x≥0,y≥0x \ge 0, y \ge 0 is the first quadrant. If we add x≤5x \le 5, the region becomes a vertical strip. What is the xx-coordinate of all points on the right boundary?

    A.

    00

    B.

    55

    C.

    yy

    D.

    xx

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)

Subtopic

Feasible and infeasible regions (bounded and unbounded) under Linear Programming for Grade 12 CBSE.

About Topic & Revision

Preview questions (no answers)

  1. 1.

    If the constraints are y≥0y \geq 0 and y≤−2y \leq -2, the feasible region is:

    A.

    Unbounded

    B.

    A strip

    C.

    Empty set

    D.

    The origin

  2. 2.

    The feasible region for x−y≤0,x≥0,y≥0x - y \leq 0, x \geq 0, y \geq 0 contains the point:

    A.

    (2, 1)

    B.

    (1, 2)

    C.

    (5, 0)

    D.

    (10, 5)

  3. 3.

    In LPP, the constraints x≥0,y≥0x \geq 0, y \geq 0 are known as:

    A.

    Main constraints

    B.

    Non-negativity constraints

    C.

    Feasible constraints

    D.

    Bounded constraints

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

Subtopic

Optimal feasible solutions under Linear Programming for Grade 12 CBSE.

About Topic & Revision

Preview questions (no answers)

  1. 1.

    Given the objective function Z=x+2yZ = x + 2y, and corner points (0,0),(4,0),(2,2),(0,3)(0, 0), (4, 0), (2, 2), (0, 3), what is the maximum value of ZZ?

    A.

    4

    B.

    6

    C.

    8

    D.

    5

  2. 2.

    If Z=3x−yZ = 3x - y, what is the value of ZZ at the vertex (2,6)(2, 6)?

    A.

    0

    B.

    12

    C.

    6

    D.

    -2

  3. 3.

    In an LPP, the constraints are usually represented by:

    A.

    Linear equalities

    B.

    Linear inequalities

    C.

    Quadratic equations

    D.

    Both A and B

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

Subtopic

Linear Programming Problem and its Mathematical Formulation under Linear Programming for Grade 12 CBSE.

About Topic & Revision

Preview questions (no answers)

  1. 1.

    In a diet problem, which constraint is likely to be used for a nutrient like 'Vitamin C'?

    A.

    x+y≤Minimum Requiredx + y \le \text{Minimum Required}

    B.

    x+y≥Minimum Requiredx + y \ge \text{Minimum Required}

    C.

    x+y=0x + y = 0

    D.

    x−y≥10x - y \ge 10

  2. 2.

    What is the shape of the region defined by x≥2,x≤5,y≥0x \ge 2, x \le 5, y \ge 0?

    A.

    A triangle

    B.

    A rectangle

    C.

    An infinite vertical strip

    D.

    A circle

  3. 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

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

Subtopic

Graphical method of solving linear programming problems under Linear Programming for Grade 12 CBSE.

About Topic & Revision

Preview questions (no answers)

  1. 1.

    Find the minimum value of Z=2x+5yZ = 2x + 5y over the region defined by (0,2)(0, 2), (4,0)(4, 0), and (5,5)(5, 5).

    A.

    88

    B.

    1010

    C.

    3535

    D.

    1515

  2. 2.

    If the constraints are x≤5x \le 5 and y≤5y \le 5 with x,y≥0x, y \ge 0, the feasible region is a:

    A.

    Triangle

    B.

    Square

    C.

    Pentagon

    D.

    Circle

  3. 3.

    In a LPP, the objective function is always:

    A.

    Quadratic

    B.

    Linear

    C.

    Cubic

    D.

    Constant

Download the worksheet for Linear Programming - Graphical method of solving linear programming problems to practice offline. It includes additional chapter-level practice questions.