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 language | English |
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Title of host publication | Numerical Analysis and Optimization, NAO-III 2014 |
Publisher | Springer New York LLC |
Pages | 59-75 |
Number of pages | 17 |
Volume | 134 |
ISBN (Print) | 9783319176888 |
DOIs | |
Publication status | Published - 1 Jan 2015 |
Event | 3rd International Conference on Numerical Analysis and Optimization: Theory, Methods, Applications and Technology Transfer, NAOIII-2014 - Muscat, Oman Duration: 5 Jan 2014 → 9 Jan 2014 |
Conference
Conference | 3rd International Conference on Numerical Analysis and Optimization: Theory, Methods, Applications and Technology Transfer, NAOIII-2014 |
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Country/Territory | Oman |
City | Muscat |
Period | 5/01/14 → 9/01/14 |
Keywords
- Barzilai and Borwein gradient method
- Condition number
- Quadratic function
- R-superlinear convergence
- Unconstrained optimization
ASJC Scopus subject areas
- General Mathematics