Question: One common mistake when modeling optimization problems is to define strictly less than < and/or strictly greater than > constraints. Provide an example where a

One common mistake when modeling optimization problems is to define strictly less than < and/or strictly greater than > constraints. Provide an example where a bounded linear program has a feasible region but does not have an optimal solution. You must explain why your example works to receive full credit.

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