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Linear Programming Test - 9

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Linear Programming Test - 9
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  • Question 1
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    Corner points of the feasible region for an LPP are (0, 2), (3, 0), (6, 0), (6, 8) and (0, 5). Let F = 4x + 6y be the objective function. Maximum of F – Minimum of F =

    Solution

    Here the objective function is given by : F = 4x +6y .

    Corner points

    Z = 4x +6 y

    (0, 2 )

    12………………..(Min.)

    (3,0)

    12………………….(Min.)

    (6,0 )

    24

    (6 , 8 )

    72

    (0 , 5 )

    30

    Maximum of F – Minimum of F = 72 – 12 = 30 .

  • Question 2
    1 / -0

    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

    Solution

    We have Z = px + qy , At ( 3, 0 ) Z = 3p ……………………………….(1)

    At ( 1 , 1) Z = p + q …………………………(2) Therefore , from (1) and (2) : We have : p = q/2 .

  • Question 3
    1 / -0

    In a LPP, the linear inequalities or restrictions on the variables are called

    Solution

    In a LPP, the linear inequalities or restrictions on the variables are called Linear constraints.

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