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

The book is devoted to the study of approximate solutions of optimization problems in the presence of computational errors. It contains a number of results on t

This book details approximate solutions to common fixed point problems and convex feasibility problems in the presence of perturbations. Convex feasibility prob