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QUESTION 1 When modeling a nonlinear optimization problem, if you try different starting values for the changing cells and obtain different solutions: a. you can
QUESTION 1
When modeling a nonlinear optimization problem, if you try different starting values for the changing cells and obtain different solutions:
a. | you can be confident there is no solution | |
b. | there must be a mistake in your objective function | |
c. | there must be a mistake in one of your constraints | |
d. | you can keep the best solution you have found and hope that it is indeed optimal |
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