Question: Linear Programming ( LP ) models are used to optimize a specific objective function within defined constraints. When solving an LP model, which of the

Linear Programming (LP) models are used to optimize a specific objective function within
defined constraints. When solving an LP model, which of the following possibilities could
not occur regarding the optimal solution?
There could be a single, unique optimal solution.
There could be multiple optimal solutions with the same objective function value.
There may be no feasible solution.
All of the above are possible outcomes.
Linear Programming (LP) models are used to optimize a specific objective

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