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图书名称：Approximate Solutions of Common Fixed-Point Problems
作者：Alexander J. Zaslavski
出版社：Springer International Publishing
页数：457
出版时间：2016                           
语言：English
格式：pdf
内容简介：
This book presents results on the convergence behavior of algorithms which are known as vital tools for solving convex feasibility problems and common fixed point problems. The main goal for us in dealing with a known computational error is to find what approximate solution can be obtained and how many iterates one needs to find it. According to know results, these algorithms should converge to a solution. In this exposition, these algorithms are studied, taking into account computational errors which remain consistent in practice. In this case the convergence to a solution does not take place. We show that our algorithms generate a good approximate solution if computational errors are bounded from above by a small positive constant.

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