Unboundedness refers to the situation in which the LP model has been formulated in such a way that the objective function is unbounded - that is,it can be made as large (for maximization problems)or as small (for minimization problems)as we wish.

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Unboundedness in the context of Linear Programming (LP) means that the value of the objective function can increase indefinitely for a maximization problem or decrease indefinitely for a minimization problem, due to the way the LP model is formulated, indicating that there are no constraints effectively limiting the objective function in the desired direction.

Unboundedness Refers to the Situation in Which the LP Model