Non-monotone adaptive filter conic trust region method for unconstrained optimization

Lijuan Zhao

Abstract


In this paper, a new non-monotone trust region method based on new conic modelis proposed for unconstrained optimization, we adjust thetrust region radius by the method proposed by Hei (2003). We use filter technique to increase the chance ofaccepting the trial point. Global convergence and$Q$-superlinear convergence of the method are established. Numerical resultsreported to show the efficiency of the new method.

Full Text: PDF

How to Cite this Article:

Lijuan Zhao, Non-monotone adaptive filter conic trust region method for unconstrained optimization, Journal of Mathematical and Computational Science, Vol 2, No 6 (2012), 1874-1893

Copyright © 2012 Lijuan Zhao. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

J. Math. Comput. Sci.

ISSN: 1927-5307

Editorial Office: jmcs@scik.org

 

Copyright ©2018 JMCS