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A modified CG-DESCENT method for unconstrained optimization

Authors :
Dai, Zhifeng
Wen, Fenghua
Source :
Journal of Computational & Applied Mathematics. Apr2011, Vol. 235 Issue 11, p3332-3341. 10p.
Publication Year :
2011

Abstract

Abstract: Recently, Hager and Zhang (2005) proposed a new conjugate gradient method which generates sufficient descent direction , this property is independent of the line search used. In this paper, we take a modification of this method, such that the sufficient descent direction satisfies , this property is also independent of the line search used. Under appropriate conditions, we prove that the proposed method is globally convergent. Moreover, we give a sufficient condition for the global convergence of the proposed general method. The numerical results show that the proposed method is efficient. [Copyright &y& Elsevier]

Details

Language :
English
ISSN :
03770427
Volume :
235
Issue :
11
Database :
Academic Search Index
Journal :
Journal of Computational & Applied Mathematics
Publication Type :
Academic Journal
Accession number :
59774240
Full Text :
https://doi.org/10.1016/j.cam.2011.01.046