
doi: 10.1007/bf01588250
It is shown that the existence of a strict local minimum satisfying the constraint qualification of [16] or McCormick's [12] second order sufficient optimality condition implies the existence of a class of exact local penalty functions (that is ones with a finite value of the penalty parameter) for a nonlinear programming problem. A lower bound to the penalty parameter is given by a norm of the optimal Lagrange multipliers which is dual to the norm used in the penalty function.
constraint qualification, Convex programming, exact penalty functions, Nonlinear programming, Slater constraint qualification, nonlinear programming, existence of global minima, local minima, second order optimality conditions
constraint qualification, Convex programming, exact penalty functions, Nonlinear programming, Slater constraint qualification, nonlinear programming, existence of global minima, local minima, second order optimality conditions
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