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A Nonmonotone Adaptive Trust Region Method Based on Conic Model for Unconstrained Optimization
Author
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-01-27
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
We propose a nonmonotone adaptive trust region method for unconstrained optimization problems which combines a conic model and a new update rule for adjusting the trust region radius.
Unlike the traditional adaptive trust region methods, the subproblem of the new method is the conic minimization subproblem.
Moreover, at each iteration, we use the last and the current iterative information to define a suitable initial trust region radius.
The global and superlinear convergence properties of the proposed method are established under reasonable conditions.
Numerical results show that the new method is efficient and attractive for unconstrained optimization problems.
American Psychological Association (APA)
Cui, Zhaocheng. 2014. A Nonmonotone Adaptive Trust Region Method Based on Conic Model for Unconstrained Optimization. Journal of Optimization،Vol. 2014, no. 2014, pp.1-8.
https://search.emarefa.net/detail/BIM-1042678
Modern Language Association (MLA)
Cui, Zhaocheng. A Nonmonotone Adaptive Trust Region Method Based on Conic Model for Unconstrained Optimization. Journal of Optimization No. 2014 (2014), pp.1-8.
https://search.emarefa.net/detail/BIM-1042678
American Medical Association (AMA)
Cui, Zhaocheng. A Nonmonotone Adaptive Trust Region Method Based on Conic Model for Unconstrained Optimization. Journal of Optimization. 2014. Vol. 2014, no. 2014, pp.1-8.
https://search.emarefa.net/detail/BIM-1042678
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1042678