EconPapers    
Economics at your fingertips  
 

Efficiency of Proximal Bundle Methods

K. C. Kiwiel
Additional contact information
K. C. Kiwiel: Systems Research Institute

Journal of Optimization Theory and Applications, 2000, vol. 104, issue 3, No 6, 589-603

Abstract: Abstract We give efficiency estimates for proximal bundle methods for finding f*≔minXf, where f and X are convex. We show that, for any accuracy ∈

Keywords: nondifferentiable optimization; convex programming; proximal bundle methods; efficiency; complexity (search for similar items in EconPapers)
Date: 2000
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)

Downloads: (external link)
http://link.springer.com/10.1023/A:1004689609425 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:joptap:v:104:y:2000:i:3:d:10.1023_a:1004689609425

Ordering information: This journal article can be ordered from
http://www.springer. ... cs/journal/10957/PS2

DOI: 10.1023/A:1004689609425

Access Statistics for this article

Journal of Optimization Theory and Applications is currently edited by Franco Giannessi and David G. Hull

More articles in Journal of Optimization Theory and Applications from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-03-20
Handle: RePEc:spr:joptap:v:104:y:2000:i:3:d:10.1023_a:1004689609425