The dual simplex method is an optimization technique used to solve linear programming problems by iterating towards the optimal solution of the dual problem while maintaining feasibility in the primal problem. This method is particularly useful when the primal constraints become violated, allowing for adjustments without losing sight of the dual's optimality. By focusing on the dual problem, this approach provides a valuable alternative to the standard simplex method, especially in scenarios where changes affect the primal constraints.
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