International Journal of Mathematics and Mathematical Sciences
Volume 2006 (2006), Issue 6, Pages 12583, 8 p.
doi:10.1155/IJMMS/2006/12583

Extra multistep BFGS updates in quasi-Newton methods

Issam A.R. Moghrabi

Department of Computer Science, Faculty of Science, Beirut Arab University, Beirut 115020, Lebanon

Abstract

This note focuses on developing quasi-Newton methods that combine m+1 multistep and single-step updates on a single iteration for the sake of constructing the new approximation to the Hessian matrix to be used on the next iteration in computing the search direction. The approach considered here exploits the merits of the multistep methods and those of El-Baali (1999) to create a hybrid technique. Our numerical results are encouraging and reveal that our proposed approach is promising. The new methods compete well with El-Baali's extra update algorithms (1999).