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Frontiers of Mathematics in China

ISSN 1673-3452

ISSN 1673-3576(Online)

CN 11-5739/O1

Postal Subscription Code 80-964

2018 Impact Factor: 0.565

Front. Math. China    2014, Vol. 9 Issue (5) : 1211-1238    https://doi.org/10.1007/s11464-014-0356-8
RESEARCH ARTICLE
Nonmonotone adaptive trust region method based on simple conic model for unconstrained optimization
Lijuan ZHAO1,2,Wenyu SUN1,Raimundo J. B. de SAMPAIO3,*()
1. School of Mathematical Sciences, Jiangsu Key Laboratory for NSLSCS, Nanjing Normal University, Nanjing 210023, China
2. Department of Social Science Teaching, Nanjing Institute of Railway Technology, Nanjing 210031, China
3. PPGEPS, Pontifical Catholic University of Parana (PUCPR), Curitiba, Parana, Brazil
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Abstract

We propose a nonmonotone adaptive trust region method based on simple conic model for unconstrained optimization. Unlike traditional trust region methods, the subproblem in our method is a simple conic model, where the Hessian of the objective function is approximated by a scalar matrix. The trust region radius is adjusted with a new self-adaptive adjustment strategy which makes use of the information of the previous iteration and current iteration. The new method needs less memory and computational efforts. The global convergence and Q-superlinear convergence of the algorithm are established under the mild conditions. Numerical results on a series of standard test problems are reported to show that the new method is effective and attractive for large scale unconstrained optimization problems.

Keywords Nonmonotone technique      conic model      trust region method      large scale optimization      global convergence     
Corresponding Author(s): Raimundo J. B. de SAMPAIO   
Issue Date: 26 August 2014
 Cite this article:   
Lijuan ZHAO,Wenyu SUN,Raimundo J. B. de SAMPAIO. Nonmonotone adaptive trust region method based on simple conic model for unconstrained optimization[J]. Front. Math. China, 2014, 9(5): 1211-1238.
 URL:  
https://academic.hep.com.cn/fmc/EN/10.1007/s11464-014-0356-8
https://academic.hep.com.cn/fmc/EN/Y2014/V9/I5/1211
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