A spectral PRP conjugate gradient methods for nonconvex optimization problem based on modified line search

Volume: 16, Issue: 4, Pages: 1157 - 1169
Published: Jan 1, 2011
Abstract
In this paper, a new spectral PRP conjugate gradient algorithm isdeveloped for solving nonconvex unconstrained optimization problems.The search direction in this algorithm is proved to be a sufficientdescent direction of the objective function independent of linesearch. To rule out possible unacceptably short step in the Armijoline search, a modified Armijo line search strategy is presented.The obtained step length is improved by employing the...
Paper Details
Title
A spectral PRP conjugate gradient methods for nonconvex optimization problem based on modified line search
Published Date
Jan 1, 2011
Volume
16
Issue
4
Pages
1157 - 1169
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.