
doi: 10.1007/bf01581639
In this paper we give first- and second-order conditions to characterize a local minimizer of an exact penalty function. The form of this characterization gives support to the claim that the exact penalty function and the nonlinear programming problem are closely related. In addition, we demonstrate that there exist arguments for the penalty function from which there are no descent directions even though these points are not minimizers.
optimality conditions, characterization of a local solution, Numerical mathematical programming methods, Optimality conditions for minimax problems, Nonlinear programming, penalty function, constrained optimization
optimality conditions, characterization of a local solution, Numerical mathematical programming methods, Optimality conditions for minimax problems, Nonlinear programming, penalty function, constrained optimization
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