Which feature indicates that a maximization linear programming problem is unbounded?
Correct answer: B. The objective value can increase without limit
- A. The feasible region contains no points
- B. The objective value can increase without limit
- C. Every constraint passes through the origin
- D. The feasible region has exactly one corner point
Explanation
A maximization problem is unbounded when feasible points allow the objective value to increase indefinitely. An empty feasible region describes infeasibility, not unboundedness.
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