عنوان المقالة: An adaptive search direction algorithm for the modified projection minimization optimization
رنا زيدان يونس الكواز | Rana Z. Al-Kawaz | 4045
Publication Type
Conference
Arabic Authors
English Authors
Rana Z. Al-Kawaz & Abbas Y. Al-Bayati
Abstract
In this paper, we proposed a double-search direction algorithm with a free of derivatives based on a different parameter update (n_k) which gives us an update on the double search trend. We used a newly updated formula for the projection parameter within the formula for the proposed search direction. When comparing our numerical results for the proposed algorithm with some standard published algorithms we obtain efficient numerical results. The proposed algorithm, especially, issued to solve large-scale nonlinear problems by combining two search directions in one search direction. Also, to demonstrate the general convergence of the proposed new algorithm under some circumstances. The numerical performance of the new proposed algorithm on some nonlinear test functions proved the efficiency of this algorithm.
Publication Date
5/1/2021
Publisher
IOP Conference Series: Materials Science and Engineering
Volume No
1152
Issue No
1
ISSN/ISBN
1757-8981
Pages
012019
External Link
https://iopscience.iop.org/article/10.1088/1757-899X/1152/1/012019/pdf
Keywords
double-search direction algorithm; projection parameter; large-scale nonlinear problems; global convergence
رجوع