Review paper

An interior algorithm for nonlinear optimization that combines line search and trust region steps

Volume: 107, Issue: 3, Pages: 391 - 408
Published: Nov 25, 2005
Abstract
An interior-point method for nonlinear programming is presented. It enjoys the flexibility of switching between a line search method that computes steps by factoring the primal-dual equations and a trust region method that uses a conjugate gradient iteration. Steps computed by direct factorization are always tried first, but if they are deemed ineffective, a trust region iteration that guarantees progress toward stationarity is invoked. To...
Paper Details
Title
An interior algorithm for nonlinear optimization that combines line search and trust region steps
Published Date
Nov 25, 2005
Volume
107
Issue
3
Pages
391 - 408
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.