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A Self-Adjusting Spectral Conjugate Gradient Method for Large-Scale Unconstrained Optimization.
- Source :
-
Abstract & Applied Analysis . 2013, p1-8. 8p. - Publication Year :
- 2013
-
Abstract
- This paper presents a hybrid spectral conjugate gradient method for large-scale unconstrained optimization, which possesses a self-adjusting property. Under the standard Wolfe conditions, its global convergence result is established. Preliminary numerical results are reported on a set of large-scale problems in CUTEr to show the convergence and efficiency of the proposed method. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 10853375
- Database :
- Academic Search Index
- Journal :
- Abstract & Applied Analysis
- Publication Type :
- Academic Journal
- Accession number :
- 95427881
- Full Text :
- https://doi.org/10.1155/2013/814912