1. ScholarBank@NUS
  2. 1. Staff
  3. Staff Publications
Please use this identifier to cite or link to this item: https://doi.org/10.1016/S0377-0427(02)00416-8
DC FieldValue
dc.titleGlobal convergence of a two-parameter family of conjugate gradient methods without line search
dc.contributor.authorChen, X.
dc.contributor.authorSun, J.
dc.date.accessioned2013-10-09T03:23:35Z
dc.date.available2013-10-09T03:23:35Z
dc.date.issued2002
dc.identifier.citationChen, X., Sun, J. (2002). Global convergence of a two-parameter family of conjugate gradient methods without line search. Journal of Computational and Applied Mathematics 146 (1) : 37-45. ScholarBank@NUS Repository. https://doi.org/10.1016/S0377-0427(02)00416-8
dc.identifier.issn03770427
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/43972
dc.description.abstractWe study the global convergence of a two-parameter family of conjugate gradient methods in which the line search procedure is replaced by a fixed formula of stepsize. This character is of significance if the line search is expensive in a particular application. In addition to the convergence results, we present computational results for various conjugate gradient methods without line search including those discussed by Sun and Zhang (Ann. Oper. Res. 103 (2001) 161-173). © 2002 Elsevier Science B.V. All rights reserved.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1016/S0377-0427(02)00416-8
dc.sourceScopus
dc.typeArticle
dc.contributor.departmentDECISION SCIENCES
dc.description.doi10.1016/S0377-0427(02)00416-8
dc.description.sourcetitleJournal of Computational and Applied Mathematics
dc.description.volume146
dc.description.issue1
dc.description.page37-45
dc.identifier.isiut000177564400005
Appears in Collections:Staff Publications

Show simple item record
Files in This Item:
There are no files associated with this item.

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.