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Arts (English Medium) Class 12 - CBSE Question Bank Solutions

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In linear programming infeasible solutions

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

In linear programming, optimal solution ____________.

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

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A maximum or a minimum may not exist for a linear programming problem if ____________.

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

In Corner point method for solving a linear programming problem, one finds the feasible region of the linear programming problem, determines its corner points, and evaluates the objective function Z = ax + by at each corner point. If M and m respectively be the largest and smallest values at corner points then ____________.

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

In Corner point method for solving a linear programming problem, one finds the feasible region of the linear programming problem, determines its corner points, and evaluates the objective function Z = ax + by at each corner point. Let M and m respectively be the largest and smallest values at corner points. In case feasible region is unbounded, M is the maximum value of the objective function if ____________.

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

In Corner point method for solving a linear programming problem, one finds the feasible region of the linear programming problem, determines its corner points, and evaluates the objective function Z = ax + by at each corner point. Let M and m respectively be the largest and smallest values at corner points. In case the feasible region is unbounded, m is the minimum value of the objective function.

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

If two corner points of the feasible region are both optimal solutions of the same type, i.e., both produce the same maximum or minimum.

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

In a LPP, the objective function is always ____________.

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

Maximize Z = 3x + 5y, subject to x + 4y ≤ 24, 3x + y ≤ 21, x + y ≤ 9, x ≥ 0, y ≥ 0.

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

Maximize Z = 4x + 6y, subject to 3x + 2y ≤ 12, x + y ≥ 4, x, y ≥ 0.

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

Maximize Z = 7x + 11y, subject to 3x + 5y ≤ 26, 5x + 3y ≤ 30, x ≥ 0, y ≥ 0.

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

Maximize Z = 6x + 4y, subject to x ≤ 2, x + y ≤ 3, -2x + y ≤ 1, x ≥ 0, y ≥ 0.

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

Maximize Z = 10 x1 + 25 x2, subject to 0 ≤ x1 ≤ 3, 0 ≤ x2 ≤ 3, x1 + x2 ≤ 5.

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

Z = 6x + 21 y, subject to x + 2y ≥ 3, x + 4y ≥ 4, 3x + y ≥ 3, x ≥ 0, y ≥ 0. The minimum value of Z occurs at ____________.

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

The feasible region for an LPP is shown shaded in the figure. Let Z = 3x - 4y be the objective function. Minimum of Z occurs at ____________.

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

Maximize Z = 10×1 + 25×2, subject to 0 ≤ x1 ≤ 3, 0 ≤ x2 ≤ 3, x1 + x2 ≤ 5.

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

The feasible region for an LPP is shown shaded in the following figure. Minimum of Z = 4x + 3y occurs at the point.

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

If A `= [(0,2),(2,0)],` then A2 is ____________.

[3] Matrices
Chapter: [3] Matrices
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It is given that at x = 1, the function x4 - 62x2 + ax + 9 attains its maximum value on the interval [0, 2]. Find the value of a.

[6] Applications of Derivatives
Chapter: [6] Applications of Derivatives
Concept: undefined >> undefined

Assertion (A): The acute angle between the line `barr = hati + hatj + 2hatk  + λ(hati - hatj)` and the x-axis is `π/4`

Reason(R): The acute angle ЁЭЬГ between the lines `barr = x_1hati + y_1hatj + z_1hatk  + λ(a_1hati + b_1hatj + c_1hatk)` and  `barr = x_2hati + y_2hatj + z_2hatk  + μ(a_2hati + b_2hatj + c_2hatk)` is given by cosθ = `(|a_1a_2 + b_1b_2 + c_1c_2|)/sqrt(a_1^2 + b_1^2 + c_1^2 sqrt(a_2^2 + b_2^2 + c_2^2)`

[11] Three - Dimensional Geometry
Chapter: [11] Three - Dimensional Geometry
Concept: undefined >> undefined
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