Title : ( Two optimal Dai–Liao conjugate gradient methods )
Authors: Saman Babaie-Kafaki , Reza Ghanbari ,
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Abstract
Two adaptive choices for the parameter of Dai–Liao conjugate gradient (CG) method are suggested. One of which is obtained by minimizing the distance between search directions of Dai–Liao method and a three-term CG method proposed by Zhang et al. and the other one is obtained by minimizing Frobenius condition number of the search direction matrix. Global convergence analyses are made briefly. Numerical results are reported; they demonstrate effectiveness of the suggested adaptive choices.
Keywords
, unconstrained optimization; large, scale optimization; conjugate gradient method; condition number; global convergence
@article{paperid:1042534,
author = {Saman Babaie-Kafaki and Ghanbari, Reza},
title = {Two optimal Dai–Liao conjugate gradient methods},
journal = {Optimization},
year = {2014},
month = {July},
issn = {0233-1934},
pages = {1--11},
numpages = {10},
keywords = {unconstrained optimization; large-scale optimization; conjugate gradient method; condition number; global convergence},
}
%0 Journal Article
%T Two optimal Dai–Liao conjugate gradient methods
%A Saman Babaie-Kafaki
%A Ghanbari, Reza
%J Optimization
%@ 0233-1934
%D 2014
