Zero duality gap for a class of nonconvex optimization problems
Journal of Optimization Theory and Applications
Local saddle points and convexification for nonconvex optimization problems
Journal of Optimization Theory and Applications
Saddle point generation in nonlinear nonconvex optimization
Proceedings of second world congress on Nonlinear analysts
Convergence properties of augmented Lagrangian methods for constrained global optimization
Optimization Methods & Software - THE JOINT EUROPT-OMS CONFERENCE ON OPTIMIZATION, 4-7 JULY, 2007, PRAGUE, CZECH REPUBLIC, PART I
Saddle points of general augmented Lagrangians for constrained nonconvex optimization
Journal of Global Optimization
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The existence of a saddle point in nonconvex constrained optimization problems is considered in this paper. We show that, under some mild conditions, the existence of a saddle point can be ensured in an equivalent p-th power formulation for a general class of nonconvex constrained optimization problems. This result expands considerably the class of optimization problems where a saddle point exists and thus enlarges the family of nonconvex problems that can be solved by dual-search methods.