Convex Optimization With Computational Errors : Springer : 9783030378219 : 3030378217 : 01 Feb 2020 : 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 the convergence behavior of algorithms in a Hilbert space, which are known as important tools for solving optimization problems. The research presented in the book is the continuation and the further development of the author's (c) 2016 book Numerical Optimization with Computational Errors, Springer 2016. Both books study the algorithms taking into account computational errors which are always present in practice. The main goal is, for a known computational error, to find out what an approximate solution can be obtained and how many iterates one needs for this.  The main difference between this new book and the 2016 book is that in this present book the discussion takes into consideration the fact that for every algorithm, its it