Fixed Point Theory and Algorithms with Applications in Mathematical Optimization
Journal of Nonlinear Functional Analysis welcomes submissions to the Topical Collection on “Fixed Point Theory and Algorithms with Applications in Mathematical Optimization” edited by Qiao-Li Dong (Civil Aviation University of China, Tianjin, China; email@example.com) and Yekini Shehu (Zhejiang Normal University, Jinhua, China; firstname.lastname@example.org).
Fixed point theory and algorithms are nowadays active research areas. This is due to their close connections with various problems in real world. Many methods in Optimization, such as operator splitting methods, projected gradient methods, and many more, can be treated as the algorithms for finding fixed points of certain nonlinear operators. Recently, the research of the fixed-point algorithms in optimization has received more and more attention. The challenges in this field are how to convert given optimization problems into equivalent fixed-point problems and then solve them with the aid of the fixed-point algorithms. The aim of this Special Issue is to publish new results on fixed point algorithms for solving optimization problems. The thematic series will accept for publications high-quality research papers on fixed point methods for solving optimization problems.
Authors have to prepare the manuscript according to template of our journal (download the template here). Manuscripts should be submitted by one of the authors of the manuscript through the online Manuscript Tracking System, MTS. There is no page limit. If for some technical reason submission through the MTS is not possible, the author can submit their papers by email (PDF format) to a member of the Guest Editors with a cc to email@example.com.