A positive barzilai-borwein-like stepsize and an extension for symmetric linear systems

Yu Hong Dai, Mehiddin Al-Baali, Xiaoqi Yang

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

29 Citations (Scopus)

Abstract

The Barzilai and Borwein (BB) gradient method has achieved a lot of attention since it performs much more better than the classical steepest descent method. In this paper, we analyze a positive BB-like gradient stepsize and discuss its possible uses. Specifically, we present an analysis of the positive stepsize for two-dimensional strictly convex quadratic functions and prove the R-superlinear convergence under some assumption. Meanwhile, we extend BB-like methods for solving symmetric linear systems and find that a variant of the positive stepsize is very useful in the context. Some useful discussions on the positive stepsize are also given.
Original languageEnglish
Title of host publicationNumerical Analysis and Optimization, NAO-III 2014
PublisherSpringer New York LLC
Pages59-75
Number of pages17
Volume134
ISBN (Print)9783319176888
DOIs
Publication statusPublished - 1 Jan 2015
Event3rd International Conference on Numerical Analysis and Optimization: Theory, Methods, Applications and Technology Transfer, NAOIII-2014 - Muscat, Oman
Duration: 5 Jan 20149 Jan 2014

Conference

Conference3rd International Conference on Numerical Analysis and Optimization: Theory, Methods, Applications and Technology Transfer, NAOIII-2014
Country/TerritoryOman
CityMuscat
Period5/01/149/01/14

Keywords

  • Barzilai and Borwein gradient method
  • Condition number
  • Quadratic function
  • R-superlinear convergence
  • Unconstrained optimization

ASJC Scopus subject areas

  • General Mathematics

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