2006Journal of Chongqing College of EducationRequires access

Approximate augmented Lagrangian functions in nonlinear programming

Huaxian Chen

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Abstract

In this paper,the author introduced an approximate augmented Lagrangian function in nonlinear programming,established dual mapping and the related dual problem of this augmented Lagrangian function and obtained the results of approximate strong duality and approximate weak duality of original problems.The results improved and generalized some known conclusions.

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What this paper is about

In this paper,the author introduced an approximate augmented Lagrangian function in nonlinear programming,established dual mapping and the related dual problem of this augmented Lagrangian function and obtained the results of approximate strong duality and approximate weak duality of original problems.The results improved and generalized some known conclusions.

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Available abstract

In this paper,the author introduced an approximate augmented Lagrangian function in nonlinear programming,established dual mapping and the related dual problem of this augmented Lagrangian function and obtained the results of approximate strong duality and approximate weak duality of original problems.The results improved and generalized some known conclusions.

Key concepts: Lagrangian, Augmented Lagrangian method, Duality (order theory), Nonlinear system, Mathematics, Applied mathematics, Dual (grammatical number), Nonlinear programming

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