DocumentCode
3003455
Title
Convergence rate of penalty and multiplier methods
Author
Bertsekas, D.P.
Author_Institution
Stanford University
fYear
1973
fDate
5-7 Dec. 1973
Firstpage
260
Lastpage
264
Abstract
This paper summarizes an analysis of penalty and multiplier methods for constrained minimization, contained in Refs. [1-3]. We describe global convergence and rate of convergence results for multiplier methods, as well as a global duality theory for nonconvex problems. A main qualitative conclusion is that multiplier methods avoid to a substantial extent the traditional disadvantages of penalty methods (ill-conditioning, slow convergence) while retaining all of their attractive features.
Keywords
Convergence; Minimization methods;
fLanguage
English
Publisher
ieee
Conference_Titel
Decision and Control including the 12th Symposium on Adaptive Processes, 1973 IEEE Conference on
Conference_Location
San Diego, CA, USA
Type
conf
DOI
10.1109/CDC.1973.269172
Filename
4045085
Link To Document