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 studies the approximate solutions of optimization problems in the presence of computational errors. A number of results are presented on the convergen

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