The corner points of the feasible region determined by the system linear constraints are (0,10), (5,5), (15,15), (0,20). Let Z = px+ qy, where p, q gt 0 , condition on p and q so that the maximum of Z occurs at both the points (15,15) and (0,20) is
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 gt 0 . Condition on p and q so that the minimum of z occurs at (3, 0) and (1, 1) is
The corner points of the feasible region determined by the system of linear constraints are (0,0), (0,40), (20,40), (60, 20), (60, 0). The objective function is Z = 4x + 3y. Compare the quantity in column in A and column B. Column A= Maximum of Z Column B= 325
Define the term corner point of a feasible region in an LPP.
The feasible region of an L.P.P is always
If an LPP admits optimal solution at two consecutive vertices of a feasible region, then
The feasible region of an LPP is shown in the figure. If Z=11x+7y , thent he maximum value of Z occurs at
The feasible region of an Lpp is shown in the figure. If z= 3x+9y, then the minimum variable occurs at
The feasible region of an LPP is shown in the figure. If z = 3x + 9 y , then the minimum value of z occurs at
The feasible region for an LPP is shown in the following figure. Let F=3 x-4 y be the objective function. Minimum value of F is
