Let $x$ and $y$ be optimal solutions of a Linear Programming $(LP)$ problem. Then,which of the following is true?

  • A
    $z=\lambda x+(1-\lambda) y, \lambda \in R$ is also an optimal solution.
  • B
    $z=\lambda x+(1-\lambda) y, 0 \leq \lambda \leq 1$ is also an optimal solution.
  • C
    $z=\lambda x+(1+\lambda) y, 0 \leq \lambda \leq 1$ is also an optimal solution.
  • D
    $z=\lambda x+(1+\lambda) y, \lambda \in R$ is also an optimal solution.

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Minimise $Z = 3x + 2y$ subject to the constraints:
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For a linear programming problem,the objective function is $Z = 3x + 9y$. The corner points of the feasible region are $(0, 10), (5, 5), (15, 15),$ and $(0, 20)$. The maximum value of $Z$ is . . . . . . .

Corner points of the bounded feasible region for an $LP$ problem are $(0,4), (6,0), (12,0), (12,16)$ and $(0,10)$. Let $z = 8x + 12y$ be the objective function. Match the following:
$(i)$ Minimum value of $z$ occurs at $\ldots$
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The corner points of the feasible region determined by the system of linear constraints are $(2, 72)$,$(15, 20)$,and $(40, 15)$. Let $Z = 6x + 3y$ be the objective function. The minimum value of $Z$ occurs at:

The coordinates of the corner points of the bounded feasible region are $(0, 0), (0, 40), (20, 40), (60, 20), (60, 0)$. The maximum of the objective function $z = 40x + 30y$ is . . . . . . .

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