DocumentCode
3618486
Title
Direct search methods for nonsmooth optimization
Author
D. Popovic;A.R. Teel
Author_Institution
Dept. of Electr. & Comput. Eng., California Univ., Santa Barbara, CA, USA
Volume
3
fYear
2004
fDate
6/26/1905 12:00:00 AM
Firstpage
3173
Abstract
We present analytical tools that enable development of globally convergent direct search methods for minimization of nonsmooth locally Lipschitz functions. The theory is illustrated with the design of new algorithms.
Keywords
"Search methods","Optimization methods","Convergence","Minimization methods","Algorithm design and analysis","Testing","DC generators"
Publisher
ieee
Conference_Titel
Decision and Control, 2004. CDC. 43rd IEEE Conference on
ISSN
0191-2216
Print_ISBN
0-7803-8682-5
Type
conf
DOI
10.1109/CDC.2004.1428960
Filename
1428960
Link To Document