Generalized Quadratic Augmented Lagrangian Methods with Nonmonotone Penalty Parameters

For nonconvex optimization problem with both equality and inequality constraints, we introduce a new augmented Lagrangian function and propose the corresponding multiplier algorithm. New iterative strategy on penalty parameter is presented. Different global convergence properties are established dep...

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Bibliographic Details
Main Authors: Xunzhi Zhu, Jinchuan Zhou, Lili Pan, Wenling Zhao
Format: Article
Language:English
Published: Wiley 2012-01-01
Series:Journal of Applied Mathematics
Online Access:http://dx.doi.org/10.1155/2012/181629
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