This book explores the intricate world of fixed point theory for nonlinear operators, focusing on the challenges and solutions associated with common fixed point problems in various mathematical spaces. At its core, the book addresses the construction of fixed points for nonlinear mappings, extending the classical results to more complex scenarios involving infinite families of operators.

Key concepts include the study of common fixed point problems in Hilbert, normed, and metric spaces, with particular attention to the presence of computational errors. The authors present innovative algorithms, such as the Cimmino and string-averaging algorithms, demonstrating their convergence even under practical constraints. Readers will encounter a thorough examination of iterative schemes, subgradient algorithms, and proximal point methods, all tailored to handle the complexities of infinite operator families.

This volume is an essential resource for mathematicians, researchers, and advanced students specializing in fixed point theory, optimization, and computational mathematics. By providing both theoretical insights and practical algorithms, the book equips readers with the tools needed to tackle challenging problems in abstract spaces, making it a valuable addition to any mathematical library.

Presents the study of common fixed problems in the presence of computational errors Incorporates the study of the Cimmino algorithm and the string-averaging algorithm Contains solutions to several difficult problems in the fixed point theory, which are considered for the first time

Inhalt

Introduction.- Feasibility problems with infinitely many sets.- Common fixed point problems with a countable family of operators.- Convergence of the Cimmino algorithm.- The string-averaging algorithm.- Approximate solutions of common fixed point problems.- Optimization on solution sets of common fixed point problems.- Set-valued mappings.- Spaces with Generalized Distances.- Uncountable families of operators.- Set-valued mappings in generalized metric spaces.- Variational inequalities.