Please use this identifier to cite or link to this item:
|Title:||Global convergence of a two-parameter family of conjugate gradient methods without line search|
|Citation:||Chen, 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|
|Abstract:||We 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.|
|Source Title:||Journal of Computational and Applied Mathematics|
|Appears in Collections:||Staff Publications|
Show full item record
Files in This Item:
There are no files associated with this item.
checked on Aug 18, 2018
WEB OF SCIENCETM
checked on Jul 17, 2018
checked on May 19, 2018
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.