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 :
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