@inproceedings{acf0a39fabc645fdad54570c78c97509,
title = "A rational model for curvature quasi-Newton methods",
abstract = "Multi-step Methods of the quasi-Newton type, derived in [10,11], have shown promising numerical improvement for solving nonlinear unconstrained optimization problems over methods based on the linear Secant equation. Minimum curvature methods [6] have resulted in further performance gains as they ensure the 'smoothness' of the interpolating curves in the multi-step methods. In this work, we derive new methods of this type using a rational model. The results of the numerical tests reveal further gains over the methods developed earlier.",
keywords = "Curvature algorithms, Multi-step methods, Quasi-Newton methods, Unconstrained optimization",
author = "Moghrabi, \{Issam A.R.\}",
note = "Publisher Copyright: {\textcopyright} Copyright International Association of Engineers.; 2017 World Congress on Engineering and Computer Science, WCECS 2017 ; Conference date: 25-10-2017 Through 27-10-2017",
year = "2017",
language = "English",
isbn = "9789881404756",
series = "Lecture Notes in Engineering and Computer Science",
publisher = "Newswood Limited",
pages = "136--139",
editor = "Ao, \{S. I.\} and Grundfest, \{W. S.\} and Craig Douglas",
booktitle = "Proceedings of the World Congress on Engineering and Computer Science 2017, WCECS 2017",
}