A new black box method for monotone nonlinear equations
Journal article
Authors/Editors
Strategic Research Themes
Publication Details
Author list: Abdulkarim Hassan Ibrahim, Morteza Kimiaei, Poom Kumam
Publisher: Taylor and Francis Group
Publication year: 2022
Volume number: 72
Issue number: 5
ISSN: 0233-1934
eISSN: 1029-4945
URL: https://www.tandfonline.com/doi/full/10.1080/02331934.2021.2002326
View in Web of Science | View on publisher site | View citing articles in Web of Science
Abstract
This paper discusses a new derivative-free line search method for nonlinear monotone equations. It uses a derivative-free direction based on Dai–Liao method, along which an improved line search – called IDFLS – is tried. In contrast to the basic line search method – called BasicLS – by Solodov and Svaiter, IDFLS uses extrapolation steps to guarantee a decrease in the function norm. In fact, IDFLS never accept a point with the worst function norm, while BasicLS may accept such a point. The global convergence of our method is established under the assumption that the underlying mapping is monotone. The numerical results show that the new method is competitive in comparison with the state-of-the-art methods.
Keywords
No matching items found.