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Mathematics
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A firm has to transport at least 1200 packages daily using large vans which carry 200 packages each and small vans which can take 80 packages each. The cost of engaging each large van is ₹400 and each small van is ₹200. Not more than ₹3000 is to be spent daily on the job and the number of large vans cannot exceed the number of small vans. Formulate this problem as a LPP given that the objective is to minimize cost

[12] Linear Programming
Chapter: [12] Linear Programming
Concept: undefined >> undefined

The solution set of the inequation 2x + y > 5 is

[12] Linear Programming
Chapter: [12] Linear Programming
Concept: undefined >> undefined

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Objective function of a LPP is

[12] Linear Programming
Chapter: [12] Linear Programming
Concept: undefined >> undefined

Which of the following sets are convex?

[12] Linear Programming
Chapter: [12] Linear Programming
Concept: undefined >> undefined

Let X1 and X2 are optimal solutions of a LPP, then

[12] Linear Programming
Chapter: [12] Linear Programming
Concept: undefined >> undefined

The maximum value of Z = 4x + 2y subjected to the constraints 2x + 3y ≤ 18, x + y ≥ 10 ; xy ≥ 0 is

[12] Linear Programming
Chapter: [12] Linear Programming
Concept: undefined >> undefined

The optimal value of the objective function is attained at the points

[12] Linear Programming
Chapter: [12] Linear Programming
Concept: undefined >> undefined

The maximum value of Z = 4x + 3y subjected to the constraints 3x + 2y ≥ 160, 5x + 2y ≥ 200, x + 2y ≥ 80; xy ≥ 0 is

[12] Linear Programming
Chapter: [12] Linear Programming
Concept: undefined >> undefined

Consider a LPP given by
Minimum Z = 6x + 10y
Subjected to x ≥ 6; y ≥ 2; 2x + y ≥ 10; xy ≥ 0
Redundant constraints in this LPP are 

[12] Linear Programming
Chapter: [12] Linear Programming
Concept: undefined >> undefined

The objective function Z = 4x + 3y can be maximised subjected to the constraints 3x + 4y ≤ 24, 8x + 6y ≤ 48, x ≤ 5, y ≤ 6; xy ≥ 0

[12] Linear Programming
Chapter: [12] Linear Programming
Concept: undefined >> undefined

If the constraints in a linear programming problem are changed

[12] Linear Programming
Chapter: [12] Linear Programming
Concept: undefined >> undefined

Which of the following is not a convex set?

[12] Linear Programming
Chapter: [12] Linear Programming
Concept: undefined >> undefined

Discuss the Continuity of the F(X) at the Indicated Points : F(X) = | X − 1 | + | X + 1 | at X = −1, 1.

[5] Continuity and Differentiability
Chapter: [5] Continuity and Differentiability
Concept: undefined >> undefined

Find the point of discontinuity, if any, of the following function: \[f\left( x \right) = \begin{cases}\sin x - \cos x , & \text{ if }  x \neq 0 \\ - 1 , & \text{ if }  x = 0\end{cases}\]

[5] Continuity and Differentiability
Chapter: [5] Continuity and Differentiability
Concept: undefined >> undefined

Find the area bounded by the parabola y2 = 4x and the line y = 2x − 4 By using vertical strips.

[8] Applications of the Integrals
Chapter: [8] Applications of the Integrals
Concept: undefined >> undefined

In Figure ABCD is a regular hexagon, which vectors are:
(i) Collinear
(ii) Equal
(iii) Coinitial
(iv) Collinear but not equal.

[10] Vectors
Chapter: [10] Vectors
Concept: undefined >> undefined

Show that y = ae2x + be−x is a solution of the differential equation \[\frac{d^2 y}{d x^2} - \frac{dy}{dx} - 2y = 0\]

[9] Differential Equations
Chapter: [9] Differential Equations
Concept: undefined >> undefined

y2 dx + (x2 − xy + y2) dy = 0

[9] Differential Equations
Chapter: [9] Differential Equations
Concept: undefined >> undefined

Verify that the function y = e−3x is a solution of the differential equation \[\frac{d^2 y}{d x^2} + \frac{dy}{dx} - 6y = 0.\]

[9] Differential Equations
Chapter: [9] Differential Equations
Concept: undefined >> undefined

In the following verify that the given functions (explicit or implicit) is a solution of the corresponding differential equation:-

y = ex + 1            y'' − y' = 0

[9] Differential Equations
Chapter: [9] Differential Equations
Concept: undefined >> undefined
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