DocumentCode
3482063
Title
Dynamic solvers for linear optimization problems
Author
Çakir, Yüksel ; Guzelis, C.
Author_Institution
Istanbul Tech. Univ., Turkey
fYear
2004
fDate
28-30 April 2004
Firstpage
304
Lastpage
307
Abstract
In this study, based on the classical gradient projection method of optimization theory a dynamic solver for linearly constrained linear optimization problems called the gradient projection network is introduced. To illustrate the performance of the network the result obtained for a special linear problem is compared with those obtained by Kennedy-Chua, Rodriguez-Vazquez and Zak´s network.
Keywords
gradient methods; optimisation; dynamic solvers; gradient projection method; linear optimization problems; performance; Constraint optimization; Constraint theory; Lagrangian functions;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing and Communications Applications Conference, 2004. Proceedings of the IEEE 12th
Print_ISBN
0-7803-8318-4
Type
conf
DOI
10.1109/SIU.2004.1338320
Filename
1338320
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