A Hyperbolic Rational Model for Unconstrained Non-Linear Optimization

Section: Research Paper
Issue
Vol. 3 No. 2 (2006): Volume 3 Issue 2
Published
Dec 4, 2006
Pages
11-22

Abstract

We consider a class of invariant Hyperbolic scaling of a strictly convex quadratic function, to extend the family of the conjugate gradient methods for solving unconstrained minimization problems. An algorithm is derived and evaluated numerically. The results indicate that, in general, the new algorithm is superior to the classical standard CG-algorithm.

Authors

Nidhal H. Al-Assady

College of Computer Sciences and Mathematics University of Mosul, Iraq

Basim A. Hassan

College of Computer Sciences and Mathematics University of Mosul, Mosul, Iraq

Identifiers

https://doi.org/10.33899/csmj.2006.164047%20
Download this PDF file
PDF

Statistics

How to Cite

H. Al-Assady, N., & A. Hassan, B. (2006). A Hyperbolic Rational Model for Unconstrained Non-Linear Optimization. AL-Rafidain Journal of Computer Sciences and Mathematics, 3(2), 11–22. https://doi.org/10.33899/csmj.2006.164047
Copyright and Licensing
Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.