A Dai–Yuan conjugate gradient algorithm with sufficient descent and conjugacy conditions for unconstrained optimization

Volume: 21, Issue: 2, Pages: 165 - 171
Published: Feb 1, 2008
Abstract
A modification of the Dai–Yuan conjugate gradient algorithm is proposed. Using exact line search, the algorithm reduces to the original version of the Dai and Yuan computational scheme. For inexact line search the algorithm satisfies both sufficient descent and conjugacy conditions. A global convergence result is proved when the Wolfe line search conditions are used. Computational results, for a set consisting of 750 unconstrained optimization...
Paper Details
Title
A Dai–Yuan conjugate gradient algorithm with sufficient descent and conjugacy conditions for unconstrained optimization
Published Date
Feb 1, 2008
Volume
21
Issue
2
Pages
165 - 171
Citation AnalysisPro
  • 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.