The Quadratic Penalty Function is a method used in optimization to Handle constraints by incorporating them into the Objective Function as Penalty terms, which Grow quadratically as the Constraints are violated. This approach Transforms a constrained problem into an unconstrained one, allowing for easier Application of optimization algorithms, but requires careful Tuning of penalty parameters to Balance feasibility and convergence.