The goal is to show the convergence of algorithms, which are known as important tools for solving convex feasibility problems and common fixed point problems.The text also presents studies of algorithms based on unions of nonexpansive maps, inconsistent convex feasibility problems, and split common fixed point problems.
Alexander J. Zaslavski, Department of Mathematics, Technion – Israel Institute of Technology, Haifa, Israel.
Innehållsförteckning
1 - Introduction.- 2 - Iterative methods in a Hilbert space.- 3 - The Cimmino algorithm in a Hilbert space.- 4 - Dynamic string-averaging methods in Hilbert spaces.- 5 - Methods with remotest set control in a Hilbert space.- 6 - Algorithms based on unions of nonexpansive maps.- 7 - Inconsistent convex feasibility problems.- 8 - Split common fixed point problems.