Skip to main navigation Skip to search Skip to main content

Steepest descent method with a generalized Armijo search for quasiconvex functions on Riemannian manifolds

  • E. A. Papa Quiroz
  • , E. M. Quispe
  • , P. Roberto Oliveira
  • Universidade Federal do Rio de Janeiro

Research output: Contribution to journalArticlepeer-review

51 Scopus citations

Abstract

This paper extends the full convergence of the steepest descent method with a generalized Armijo search and a proximal regularization to solve minimization problems with quasiconvex objective functions on complete Riemannian manifolds. Previous convergence results are obtained as particular cases and some examples in non-Euclidian spaces are given. In particular, our approach can be used to solve constrained minimization problems with nonconvex objective functions in Euclidian spaces if the set of constraints is a Riemannian manifold and the objective function is quasiconvex in this manifold.

Original languageEnglish
Pages (from-to)467-477
Number of pages11
JournalJournal of Mathematical Analysis and Applications
Volume341
Issue number1
DOIs
StatePublished - 1 May 2008
Externally publishedYes

Keywords

  • Quasiconvex functions
  • Riemannian manifolds
  • Steepest descent method

Fingerprint

Dive into the research topics of 'Steepest descent method with a generalized Armijo search for quasiconvex functions on Riemannian manifolds'. Together they form a unique fingerprint.

Cite this