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What is an unbounded solution in Linear Programming?

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An unbounded solution occurs when the objective function can be increased (in maximization problems) or decreased (in minimization problems) indefinitely without violating any constraints. In other words, there is no finite optimal solution, and the feasible region is open in the direction of optimization.



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An unbounded solution in linear programming occurs when the objective function can increase or decrease indefinitely due to insufficient constraints. This situation signals the absence of a finite optimal solution, complicating decision-making and resource allocation, and highlighting the need to reassess the model's constraints.

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An unbounded solution in linear programming occurs when the feasible region allows the objective function to increase (for maximization) or decrease (for minimization) indefinitely without reaching a limit. This typically happens when there are directions in which the objective can be improved without any constraints limiting it.

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An unbounded solution in linear programming occurs when the objective function can increase or decrease indefinitely without reaching a limit. This typically happens when the feasible region is open in the direction of optimization, indicating that there is no maximum or minimum value.

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