In sensitivity analysis, what happens to the shadow prices (dual values) of resources when a linear programming maximization problem becomes unbounded?
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In sensitivity analysis, if a maximization LP becomes unbounded, the shadow prices (dual values) are not well-defined or finite.
When the maximization problem is unbounded, the shadow prices cannot be meaningfully determined because there is no finite optimal solution.
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