Explain why you cannot conclude that optimal solutions exist without graphing the objective function. for various feasible solutions. Graph the feasible region and use graphs of the objective function for various values of z to determine the maximum value and the minimum value, if they exist Minimize and maximize zax-y Subject to x-2y 20 2x-y 26 xyzo Why can you not conclude that optimal solutions exist? OA. Neither a maximum value nor a minimum value exist OB. The feasible region is unbounded and one of the coeficients of the objective function is negative OC. The feasible region is empty and one of the coefficients of the objective function is negative OD. The feasible region is bounded and one of the coefficients of the objective function is negative

Advanced Engineering Mathematics
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Chapter2: Second-order Linear Odes
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Explain why you cannot conclude that optimal solutions exist without graphing the objective function
for various feasible solutions. Graph the feasible region and use graphs of the objective function for
various values of z to determine the maximum value and the minimum value, if they exist
Minimize and maximize
Subject to
x-2y 20
2x-y 26
x.y 20
Why can you not conclude that optimal solutions exist?
OA. Neither a maximum value nor a minimum value exist
B. The feasible region is unbounded and one of the coeficients of the objective
function is negative
OC. The feasible region is empty and one of the coefficients of the objective function is
negative
OD. The feasible region is bounded and one of the coefficients of the objective
function is negative
Transcribed Image Text:Explain why you cannot conclude that optimal solutions exist without graphing the objective function for various feasible solutions. Graph the feasible region and use graphs of the objective function for various values of z to determine the maximum value and the minimum value, if they exist Minimize and maximize Subject to x-2y 20 2x-y 26 x.y 20 Why can you not conclude that optimal solutions exist? OA. Neither a maximum value nor a minimum value exist B. The feasible region is unbounded and one of the coeficients of the objective function is negative OC. The feasible region is empty and one of the coefficients of the objective function is negative OD. The feasible region is bounded and one of the coefficients of the objective function is negative
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