Global Convergence and Numerical Results of a New Conjugate Gradient Method
Abstract
Conjugate gradient method(CG)is widely used to solve optimization problems,especially for large-scale problems.Many researchers generated new CG methods based on these classical CG methods such as FR,PRP and HS.Recently,Li,Tang and Wei[1] proposed a new conjugate condition and then deduced a new CG method,which has global convergence and better numerical results.On the other hand,Hager and Zhang introduced a new one-parameter CG method.In this...
Paper Details
Title
Global Convergence and Numerical Results of a New Conjugate Gradient Method
Published Date
Jan 1, 2011
Citation AnalysisPro
You’ll need to upgrade your plan to Pro
Looking to understand the true influence of a researcher’s work across journals & affiliations?
- Scinapse’s Top 10 Citation Journals & Affiliations graph reveals the quality and authenticity of citations received by a paper.
- Discover whether citations have been inflated due to self-citations, or if citations include institutional bias.
Notes
History