A Self-Adjusting Spectral Conjugate Gradient Method for Large-Scale Unconstrained Optimization
Joint Authors
Xue, Wei
Cui, Dandan
Yu, Gaohang
Qiu, Yuanying
Source
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-04-11
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Qiu, Yuanying& Cui, Dandan& Xue, Wei& Yu, Gaohang. 2013. A Self-Adjusting Spectral Conjugate Gradient Method for Large-Scale Unconstrained Optimization. Abstract and Applied Analysis،Vol. 2013, no. 2013, pp.1-8.
https://search.emarefa.net/detail/BIM-500251
Modern Language Association (MLA)
Qiu, Yuanying…[et al.]. A Self-Adjusting Spectral Conjugate Gradient Method for Large-Scale Unconstrained Optimization. Abstract and Applied Analysis No. 2013 (2013), pp.1-8.
https://search.emarefa.net/detail/BIM-500251
American Medical Association (AMA)
Qiu, Yuanying& Cui, Dandan& Xue, Wei& Yu, Gaohang. A Self-Adjusting Spectral Conjugate Gradient Method for Large-Scale Unconstrained Optimization. Abstract and Applied Analysis. 2013. Vol. 2013, no. 2013, pp.1-8.
https://search.emarefa.net/detail/BIM-500251
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-500251
