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Arts (English Medium) कक्षा १२ - CBSE Question Bank Solutions for Mathematics

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Mathematics
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Find the minor of 6 and cofactor of 4 respectively in the determinant `Delta = abs ((1,2,3),(4,5,6),(7,8,9))`

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

Find the position vector of a point A in space such that `vec"OA"` is inclined at 60º to OX and at 45° to OY and `|vec"OA"|` = 10 units.

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

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Maximise and Minimise Z = 3x – 4y subject to x – 2y ≤ 0, – 3x + y ≤ 4, x – y ≤ 6, x, y ≥ 0

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

Corner points of the feasible region determined by the system of linear constraints are (0, 3), (1, 1) and (3, 0). Let Z = px + qy, where p, q > 0. Condition on p and q so that the minimum of Z occurs at (3, 0) and (1, 1) is ______.

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

sin (tan−1 x), where |x| < 1, is equal to:

[2] Inverse Trigonometric Functions
Chapter: [2] Inverse Trigonometric Functions
Concept: undefined >> undefined

The function f: R → R defined as f(x) = x3 is:

[1] Relations and Functions
Chapter: [1] Relations and Functions
Concept: undefined >> undefined

If x = a sec θ, y = b tan θ, then `("d"^2"y")/("dx"^2)` at θ = `π/6` is:

[2] Inverse Trigonometric Functions
Chapter: [2] Inverse Trigonometric Functions
Concept: undefined >> undefined

Simplest form of `tan^-1 ((sqrt(1 + cos "x") + sqrt(1 - cos "x"))/(sqrt(1 + cos "x") - sqrt(1 - cos "x")))`, `π < "x" < (3π)/2` is:

[2] Inverse Trigonometric Functions
Chapter: [2] Inverse Trigonometric Functions
Concept: undefined >> undefined

Let A = {1, 2, 3}, B = {4, 5, 6, 7} and let f = {(1, 4), (2, 5), (3, 6)} be a function from A to B. Based on the given information, f is best defined as:

[1] Relations and Functions
Chapter: [1] Relations and Functions
Concept: undefined >> undefined

The maximum value of `["x"("x" − 1) + 1]^(1/3)`, 0 ≤ x ≤ 1 is:

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

A feasible region in the set of points which satisfy ____________.

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

Of all the points of the feasible region for maximum or minimum of objective function the points.

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

A set of values of decision variables which satisfies the linear constraints and nn-negativity conditions of an L.P.P. is called its ____________.

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

Z = 20x1 + 20x2, subject to x1 ≥ 0, x2 ≥ 0, x1 + 2x2 ≥ 8, 3x1 + 2x2 ≥ 15, 5x1 + 2x2 ≥ 20. The minimum value of Z occurs at ____________.

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

In linear programming feasible region (or solution region) for the problem is ____________.

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

Let R be the feasible region (convex polygon) for a linear programming problem and let Z = ax + by be the objective function. When Z has an optimal value (maximum or minimum), where the variables x and y are subject to constraints described by linear inequalities,

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

Let R be the feasible region for a linear programming problem, and let Z = ax + by be the objective function. If R is bounded, then ____________.

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

Let R be the feasible region for a linear programming problem, and let Z = ax + by be the objective function. If R is bounded, then the objective function Z has both a maximum and a minimum value on R and ____________.

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

In Corner point method for solving a linear programming problem the first step is to ____________.

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

In the Corner point method for solving a linear programming problem the second step after finding the feasible region of the linear programming problem and determining its corner points is ____________.

[12] Linear Programming
Chapter: [12] Linear Programming
Concept: undefined >> undefined
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Question Bank Solutions for CBSE Arts (English Medium) कक्षा १२ Hindi (Elective)
Question Bank Solutions for CBSE Arts (English Medium) कक्षा १२ History
Question Bank Solutions for CBSE Arts (English Medium) कक्षा १२ Informatics Practices
Question Bank Solutions for CBSE Arts (English Medium) कक्षा १२ Mathematics
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Question Bank Solutions for CBSE Arts (English Medium) कक्षा १२ Sanskrit (Elective)
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