Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/17237
Title: A lagrange penalty reformulation method for constrained optimization
Authors: Rubinov, AM
Yang, XQ 
Zhou, YY
Keywords: Augmented penalty function
Constrained optimization
Non-coercivity
Zero duality gap
Issue Date: 2007
Publisher: Springer
Source: Optimization letters, 2007, v. 1, no. 2, p. 145-154 How to cite?
Journal: Optimization letters 
Abstract: In this paper a constrained optimization problem is transformed into an equivalent one in terms of an auxiliary penalty function. A Lagrange function method is then applied to this transformed problem. Zero duality gap and exact penalty results are obtained without any coercivity assumption on either the objective function or constraint functions.
URI: http://hdl.handle.net/10397/17237
ISSN: 1862-4472
EISSN: 1862-4480
DOI: 10.1007/s11590-006-0010-9
Appears in Collections:Journal/Magazine Article

Access
View full-text via PolyU eLinks SFX Query
Show full item record

SCOPUSTM   
Citations

2
Last Week
0
Last month
0
Citations as of Oct 11, 2017

WEB OF SCIENCETM
Citations

2
Last Week
0
Last month
0
Citations as of Oct 16, 2017

Page view(s)

42
Last Week
0
Last month
Checked on Oct 16, 2017

Google ScholarTM

Check

Altmetric



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.