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Mathematics
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In the given graph, the feasible region for an LPP is shaded. The objective function Z = 2x – 3y will be minimum at:

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

If A = `[(1,-1,0),(2,3,4),(0,1,2)]` and B = `[(2,2,-4),(-4,2,-4),(2,-1,5)]`, then:

[4] Determinants
Chapter: [4] Determinants
Concept: undefined >> undefined

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A linear programming problem is as follows:

Minimize Z = 30x + 50y

Subject to the constraints: 3x + 5y ≥ 15, 2x + 3y ≤ 18, x ≥ 0, y ≥ 0

In the feasible region, the minimum value of Z occurs at:

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

For an objective function Z = ax + by, where a, b > 0; the corner points of the feasible region determined by a set of constraints (linear inequalities) are (0, 20), (10, 10), (30, 30) and (0, 40). The condition on a and b such that the maximum Z occurs at both the points (30, 30) and (0, 40) is:

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

In a linear programming problem, the constraints on the decision variables x and y are x − 3y ≥ 0, y ≥ 0, 0 ≤ x ≤ 3. The feasible region:

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

Let A = `[(1,sin α,1),(-sin α,1,sin α),(-1,-sin α,1)]`, where 0 ≤ α ≤ 2π, then:

[4] Determinants
Chapter: [4] Determinants
Concept: undefined >> undefined

Objective function of a linear programming problem is ____________.

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

The maximum value of the object function Z = 5x + 10 y subject to the constraints x + 2y ≤ 120, x + y ≥ 60, x - 2y ≥ 0, x ≥ 0, y ≥ 0 is ____________.

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

Z = 7x + y, subject to 5x + y ≥ 5, x + y ≥ 3, x ≥ 0, y ≥ 0. The minimum value of Z occurs at ____________.

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

A linear programming problem is one that is concerned with ____________.

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

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

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
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