A Nonmonotone Weighting Self-Adaptive Trust Region Algorithm for Unconstrained Nonconvex Optimization
Joint Authors
Yang, Weiwei
Li, Wenyu
Jiang, Xiaowei
Yang, Yueting
Lu, Yunlong
Source
Discrete Dynamics in Nature and Society
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-11-17
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
A new trust region method is presented, which combines nonmonotone line search technique, a self-adaptive update rule for the trust region radius, and the weighting technique for the ratio between the actual reduction and the predicted reduction.
Under reasonable assumptions, the global convergence of the method is established for unconstrained nonconvex optimization.
Numerical results show that the new method is efficient and robust for solving unconstrained optimization problems.
American Psychological Association (APA)
Lu, Yunlong& Yang, Weiwei& Li, Wenyu& Jiang, Xiaowei& Yang, Yueting. 2015. A Nonmonotone Weighting Self-Adaptive Trust Region Algorithm for Unconstrained Nonconvex Optimization. Discrete Dynamics in Nature and Society،Vol. 2015, no. 2015, pp.1-8.
https://search.emarefa.net/detail/BIM-1060777
Modern Language Association (MLA)
Lu, Yunlong…[et al.]. A Nonmonotone Weighting Self-Adaptive Trust Region Algorithm for Unconstrained Nonconvex Optimization. Discrete Dynamics in Nature and Society No. 2015 (2015), pp.1-8.
https://search.emarefa.net/detail/BIM-1060777
American Medical Association (AMA)
Lu, Yunlong& Yang, Weiwei& Li, Wenyu& Jiang, Xiaowei& Yang, Yueting. A Nonmonotone Weighting Self-Adaptive Trust Region Algorithm for Unconstrained Nonconvex Optimization. Discrete Dynamics in Nature and Society. 2015. Vol. 2015, no. 2015, pp.1-8.
https://search.emarefa.net/detail/BIM-1060777
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1060777