Title
On the convergence of augmented Lagrangian methods for nonlinear semidefinite programming
Abstract
In this paper, we present new convergence properties of the augmented Lagrangian method for nonlinear semidefinite programs (NSDP). Convergence to the approximately global solutions and optimal values of NSDP is first established for a basic augmented Lagrangian scheme under mild conditions, without requiring the boundedness condition of the multipliers. We then propose four modified augmented Lagrangian methods for NSDP based on different algorithmic strategies. We show that the same convergence of the proposed methods can be ensured under weaker conditions.
Year
DOI
Venue
2012
10.1007/s10898-011-9779-x
J. Global Optimization
Keywords
Field
DocType
Nonlinear semidefinite program,Modified augmented Lagrangian methods,Convergence to an,\({\epsilon}\),-global solution,Boundedness of multipliers
Convergence (routing),Mathematical optimization,Nonlinear system,Mathematical analysis,Augmented Lagrangian method,Semidefinite programming,Mathematics
Journal
Volume
Issue
ISSN
54
3
0925-5001
Citations 
PageRank 
References 
8
0.44
30
Authors
3
Name
Order
Citations
PageRank
H. Z. Luo1170.93
H. X. Wu2252.11
G. Chen333527.69