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Let A = {1, 2, 3} and consider the relation R = {(1, 1), (2, 2), (3, 3), (1, 2), (2, 3), (1, 3)}. Then R is ____________.
Concept: undefined >> undefined
Let A = {1, 2, 3, …. n} and B = {a, b}. Then the number of surjections from A into B is ____________.
Concept: undefined >> undefined
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Let R be a relation on the set N of natural numbers denoted by nRm ⇔ n is a factor of m (i.e. n | m). Then, R is ____________.
Concept: undefined >> undefined
Let S = {1, 2, 3, 4, 5} and let A = S x S. Define the relation R on A as follows:
(a, b) R (c, d) iff ad = cb. Then, R is ____________.
Concept: undefined >> undefined
Let R be the relation “is congruent to” on the set of all triangles in a plane is ____________.
Concept: undefined >> undefined
Total number of equivalence relations defined in the set S = {a, b, c} is ____________.
Concept: undefined >> undefined
The relation R is defined on the set of natural numbers as {(a, b) : a = 2b}. Then, R-1 is given by ____________.
Concept: undefined >> undefined
Let A = {x : -1 ≤ x ≤ 1} and f : A → A is a function defined by f(x) = x |x| then f is ____________.
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.
Concept: undefined >> undefined
Let `"f" ("x") = ("In" (1 + "ax") - "In" (1 - "bx"))/"x", "x" ne 0` If f (x) is continuous at x = 0, then f(0) = ____________.
Concept: undefined >> undefined
If the feasible region for a linear programming problem is bounded, then the objective function Z = ax + by has both a maximum and a minimum value on R.
Concept: undefined >> undefined
The minimum value of the objective function Z = ax + by in a linear programming problem always occurs at only one corner point of the feasible region
Concept: undefined >> undefined
Determine the maximum value of Z = 11x + 7y subject to the constraints : 2x + y ≤ 6, x ≤ 2, x ≥ 0, y ≥ 0.
Concept: undefined >> undefined
Maximise Z = 3x + 4y, subject to the constraints: x + y ≤ 1, x ≥ 0, y ≥ 0
Concept: undefined >> undefined
Maximise the function Z = 11x + 7y, subject to the constraints: x ≤ 3, y ≤ 2, x ≥ 0, y ≥ 0.
Concept: undefined >> undefined
Minimise Z = 13x – 15y subject to the constraints: x + y ≤ 7, 2x – 3y + 6 ≥ 0, x ≥ 0, y ≥ 0
Concept: undefined >> undefined
Determine the maximum value of Z = 3x + 4y if the feasible region (shaded) for a LPP is shown in Figure
Concept: undefined >> undefined
Feasible region (shaded) for a LPP is shown in Figure. Maximise Z = 5x + 7y.
Concept: undefined >> undefined
The feasible region for a LPP is shown in Figure. Find the minimum value of Z = 11x + 7y
Concept: undefined >> undefined
Refer to Exercise 7 above. Find the maximum value of Z.
Concept: undefined >> undefined
