The interior penalty method is a technique used in nonlinear optimization to handle constraints by incorporating a penalty for violating these constraints into the objective function. This method works by applying penalties that increase as solutions approach the boundary of the feasible region, thus encouraging the optimization process to remain within the interior where feasible solutions exist. It contrasts with exterior penalty methods that penalize solutions outside the feasible region.
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