A spectral three-term Hestenes–Stiefel conjugate gradient method
Parvaneh Faramarzi () and
Keyvan Amini ()
Additional contact information
Parvaneh Faramarzi: Razi University
Keyvan Amini: Razi University
4OR, 2021, vol. 19, issue 1, No 4, 92 pages
Abstract:
Abstract In this paper, according to some suitable features of three-term conjugate gradient methods and excellent theoretical properties of the quasi-Newton methods, a new spectral three-term conjugate gradient is proposed. A modified secant condition is used to compute a suitable spectral parameter. The new search direction ensures the sufficient descent condition without any line search. It is established that the new scheme possesses the global convergence, under the strong Wolfe conditions. Preliminary numerical experiments show the efficiency of the new method, dealing with unconstrained optimization problems.
Keywords: Global convergence; Three-term conjugate gradient method; Unconstrained optimization; Spectral parameter; Modified secant condition; 90C30; 65K05 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
http://link.springer.com/10.1007/s10288-020-00432-3 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:aqjoor:v:19:y:2021:i:1:d:10.1007_s10288-020-00432-3
Ordering information: This journal article can be ordered from
https://www.springer ... ch/journal/10288/PSE
DOI: 10.1007/s10288-020-00432-3
Access Statistics for this article
4OR is currently edited by Yves Crama, Michel Grabisch and Silvano Martello
More articles in 4OR from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().