Modified Hestenes-Steifel conjugate gradient coefficient for unconstrained optimization
Volume: 13, Issue: 3, Pages: 241 - 251
Published: Jun 1, 2010
Abstract
Conjugate gradient methods play an important role in unconstrained optimization. Numerous studies and modifications have been devoted recently to improve this method. In this paper we propose a new conjugate gradient coefficient (β k ) by modifying the already proven Hestenes-Steifel formula. In this new β k we introduce a new formula for the denominator and retain the numerator of the Hestenes-Steifel formula. Numerical results have shown that...
Paper Details
Title
Modified Hestenes-Steifel conjugate gradient coefficient for unconstrained optimization
Published Date
Jun 1, 2010
Volume
13
Issue
3
Pages
241 - 251
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