A constraint within a linear programming model is formally classified as redundant if its complete removal from the system of equations leaves the set of all feasible solutions entirely unchanged; based on this definition, why does a redundant constraint fail to exert any actual influence or restriction on the final optimal solution reached by an optimization algorithm?
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