Aims & Scopes

Fixed Point Methods and Optimization publishes carefully refereed papers that encompass theoretical, computational, and applications of fixed-point methods for solving optimization problems. The journal focuses on original research contributions dealing with fixed-point methods for solving convex and non-convex optimization problems in the broadest sense, including nonlinear optimization problems, stochastic optimization problems, multi-objective optimization problems, variational inequalities, equilibrium problems, and fixed-point iterations. Special considerations are given to papers on data-driven methods and optimization-based data mining.

In addition to papers with theoretical convergence analysis of the proposed algorithms, numerical experiments with applications in the sciences, engineering, and management are encouraged. The journal publishes full-length articles, short communications, and review papers on fixed-point approaches to optimization problems.