Dual feasibility refers to a condition in optimization where the solutions of the dual problem satisfy all inequality constraints of the primal problem. It is crucial in understanding the relationship between primal and dual formulations of linear programming problems, ensuring that any feasible solution of the dual also maintains validity in relation to the primal constraints. This concept helps in establishing optimality conditions and plays a key role in various optimization techniques.
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