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HSC Science (Computer Science) इयत्ता १२ वी - Maharashtra State Board Question Bank Solutions

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Of all the points of the feasible region, the optimal value of z obtained at the point lies ______.

[7] Linear Programming
Chapter: [7] Linear Programming
Concept: undefined >> undefined

Solution of LPP to minimize z = 2x + 3y, such that x ≥ 0, y ≥ 0, 1 ≤ x + 2y ≤ 10 is ______.

[7] Linear Programming
Chapter: [7] Linear Programming
Concept: undefined >> undefined

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The corner points of the feasible solution given by the inequation x + y ≤ 4, 2x + y ≤ 7, x ≥ 0, y ≥ 0 are ______.

[7] Linear Programming
Chapter: [7] Linear Programming
Concept: undefined >> undefined

The corner points of the feasible solution are (0, 0), (2, 0), `(12/7, 3/7)`, (0, 1). Then z = 7x + y is maximum at ______.

[7] Linear Programming
Chapter: [7] Linear Programming
Concept: undefined >> undefined

If the corner points of the feasible solution are (0, 0), (3, 0), (2, 1), `(0, 7/3)` the maximum value of z = 4x + 5y is ______.

[7] Linear Programming
Chapter: [7] Linear Programming
Concept: undefined >> undefined

If the corner points of the feasible solution are (0, 10), (2, 2) and (4, 0), then the point of minimum z = 3x + 2y is ______.

[7] Linear Programming
Chapter: [7] Linear Programming
Concept: undefined >> undefined

The half-plane represented by 3x + 2y < 8 contains the point ______.

[7] Linear Programming
Chapter: [7] Linear Programming
Concept: undefined >> undefined

The half-plane represented by 4x + 3y >14 contains the point ______.

[7] Linear Programming
Chapter: [7] Linear Programming
Concept: undefined >> undefined

Solve the following LPP:

Maximize z = 5x1 + 6x2 subject to 2x1 + 3x2 ≤ 18, 2x1 + x2 ≤ 12, x1 ≥ 0, x2 ≥ 0.

[7] Linear Programming
Chapter: [7] Linear Programming
Concept: undefined >> undefined

Solve the following LPP:

Maximize z = 4x + 2y subject to 3x + y ≤ 27, x + y ≤ 21, x ≥ 0, y ≥ 0.

[7] Linear Programming
Chapter: [7] Linear Programming
Concept: undefined >> undefined

Solve the following LPP:

Maximize z = 6x + 10y subject to 3x + 5y ≤ 10, 5x + 3y ≤ 15, x ≥ 0, y ≥ 0.

[7] Linear Programming
Chapter: [7] Linear Programming
Concept: undefined >> undefined

Solve the following LPP:

Maximize z = 2x + 3y subject to x - y ≥ 3, x ≥ 0, y ≥ 0.

[7] Linear Programming
Chapter: [7] Linear Programming
Concept: undefined >> undefined

Solve each of the following inequations graphically using XY-plane:

4x - 18 ≥ 0

[7] Linear Programming
Chapter: [7] Linear Programming
Concept: undefined >> undefined

Solve each of the following inequations graphically using XY-plane:

- 11x - 55 ≤ 0

[7] Linear Programming
Chapter: [7] Linear Programming
Concept: undefined >> undefined

Solve each of the following inequations graphically using XY-plane:

5y - 12 ≥ 0

[7] Linear Programming
Chapter: [7] Linear Programming
Concept: undefined >> undefined

Solve each of the following inequations graphically using XY-plane:

y ≤ - 3.5

[7] Linear Programming
Chapter: [7] Linear Programming
Concept: undefined >> undefined

Sketch the graph of the following inequation in XOY co-ordinate system:

|x + 5| ≤ y

[7] Linear Programming
Chapter: [7] Linear Programming
Concept: undefined >> undefined

Find graphical solution for the following system of linear in equation:

3x + 4y ≤ 12, x - 2y ≥ 2, y ≥ - 1

[7] Linear Programming
Chapter: [7] Linear Programming
Concept: undefined >> undefined

Solve the following LPP:

Maximize z = 4x1 + 3x2 subject to
3x1 + x2 ≤ 15, 3x1 + 4x2 ≤ 24, x1 ≥ 0, x2 ≥ 0. 

[7] Linear Programming
Chapter: [7] Linear Programming
Concept: undefined >> undefined

Solve the following LPP:

Maximize z =60x + 50y  subject to

x + 2y ≤ 40, 3x + 2y ≤ 60, x ≥ 0, y ≥ 0.

[7] Linear Programming
Chapter: [7] Linear Programming
Concept: undefined >> undefined
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