DocumentCode
3053094
Title
Convergence rates of Quasi-Newton algorithms for some non-smooth optimization problems
Author
Sachs, E.
Author_Institution
North Carolina State University, Raleigh, North Carolina
fYear
1983
fDate
- Dec. 1983
Firstpage
913
Lastpage
918
Abstract
In this paper we consider a class of nonsmooth optimization problems and investigate an algorithm which makes use of approximations of the derivative. We study a growth condition on the objective and various conditions on the step-sizes and the Quasi-Newton operators to obtain linear, superlinear and quadratic rates of convergence. These results are applied to a class of Broyden updates and two inexact step-size rules.
Keywords
Chebyshev approximation; Constraint optimization; Convergence of numerical methods; Differential equations; Integral equations; Linear approximation; Mathematics; Partial differential equations;
fLanguage
English
Publisher
ieee
Conference_Titel
Decision and Control, 1983. The 22nd IEEE Conference on
Conference_Location
San Antonio, TX, USA
Type
conf
DOI
10.1109/CDC.1983.269656
Filename
4047687
Link To Document