Saddle point and exact penalty representation for generalized proximal Lagrangians

Saddle point and exact penalty representation for generalized proximal Lagrangians

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Article ID: iaor20126635
Volume: 54
Issue: 4
Start Page Number: 669
End Page Number: 687
Publication Date: Dec 2012
Journal: Journal of Global Optimization
Authors: , ,
Keywords: programming: nonlinear
Abstract:

In this paper, we introduce a generalized proximal Lagrangian function for the constrained nonlinear programming problem and discuss existence of its saddle points. In particular, the local saddle point is obtained by using the second‐order sufficient conditions, and the global saddle point is given without requiring compactness of constraint set and uniqueness of the optimal solution. Finally, we establish equivalent relationship between global saddle points and exact penalty representations.

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