The book is devoted to the study of approximate solutions of fixed point problems in the presence of computational errors. It begins with a study of approximate

This book presents results on the convergence behavior of algorithms which are known as vital tools for solving convex feasibility problems and common fixed poi

This book is devoted to a detailed study of the subgradient projection method and its variants for convex optimization problems over the solution sets of common

This focused monograph presents a study of subgradient algorithms for constrained minimization problems in a Hilbert space. The book is of interest for experts

This book delves into the intricate world of fixed point theory, focusing on the Krasnoselskii-Mann method to tackle common fixed point problems within a finite