A constraint set refers to the collection of restrictions or limitations imposed on the variables in an optimization problem. These constraints define the feasible region where solutions can be found, ensuring that any potential solution adheres to specific conditions or requirements. In the context of exact penalty functions, the constraint set plays a vital role in determining how penalties are applied to guide the optimization process towards feasible solutions.
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