A New Conjugate Gradient Algorithm with Sufficient Descent Property for Unconstrained Optimization

XiaoPing Wu, LiYing Liu, FengJie Xie and YongFei Li

Mathematical Problems in Engineering, 2015, vol. 2015, 1-8

Abstract:

A new nonlinear conjugate gradient formula, which satisfies the sufficient descent condition, for solving unconstrained optimization problem is proposed. The global convergence of the algorithm is established under weak Wolfe line search. Some numerical experiments show that this new WWPNPRP + algorithm is competitive to the SWPPRP + algorithm, the SWPHS + algorithm, and the WWPDYHS + algorithm.

Date: 2015
References: Add references at CitEc
Citations:

Downloads: (external link)
http://downloads.hindawi.com/journals/MPE/2015/352524.pdf (application/pdf)
http://downloads.hindawi.com/journals/MPE/2015/352524.xml (text/xml)

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:hin:jnlmpe:352524

DOI: 10.1155/2015/352524

Access Statistics for this article

More articles in Mathematical Problems in Engineering from Hindawi
Bibliographic data for series maintained by Mohamed Abdelhakeem ().