Dual feasibility refers to a condition in optimization where the dual variables associated with a linear programming problem satisfy the constraints of the dual formulation. This concept is closely related to primal feasibility and is essential for ensuring that both the primal and dual solutions provide meaningful insights into the optimization problem. Dual feasibility is crucial when evaluating optimality conditions and helps in determining whether a solution can be considered viable within the context of the underlying constraints.
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