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If the corner points of bounded feasible region for an LPP are (0,2) (3,0) (6,0) (6,8) and (0, 5) then the minimum value of the objective function f=4x+6y occur at

Solution

✅ Correct Option: 3

The Linear Programming Problem has:

Corner points of feasible region: (0,2)(0,2), (3,0)(3,0), (6,0)(6,0), (6,8)(6,8), (0,5)(0,5)

Objective function: f=4x+6yf = 4x + 6y

In Linear Programming, the minimum or maximum value of the objective function always occurs at one or more corner points of the feasible region. So instead of checking infinite points, we just plug in the corner points.


Evaluating f=4x+6yf = 4x + 6y at each corner point:

Corner PointCalculationValue of ff
(0,2)(0, 2)4(0)+6(2)=0+124(0) + 6(2) = 0 + 121212
(3,0)(3, 0)4(3)+6(0)=12+04(3) + 6(0) = 12 + 01212
(6,0)(6, 0)4(6)+6(0)=24+04(6) + 6(0) = 24 + 02424
(6,8)(6, 8)4(6)+6(8)=24+484(6) + 6(8) = 24 + 487272
(0,5)(0, 5)4(0)+6(5)=0+304(0) + 6(5) = 0 + 303030

Comparing all values: 1212, 1212, 2424, 7272, 3030

The minimum value is 1212, and it occurs at two corner points: (0,2)(0, 2) and (3,0)(3, 0).

When two corner points give the same optimal value, it means the objective function line is parallel to the edge connecting those two points. So every point on the line segment joining (0,2)(0,2) and (3,0)(3,0) is also optimal.


Therefore, the minimum value of the objective function f=4x+6yf = 4x + 6y is 12\boxed{12}, occurring at (0,2)(0, 2) and (3,0)(3, 0).

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