Solutions of Fixed Point Problems with Computational Errors
Series: Springer Optimization and Its Applications; 210;
- Publisher's listprice EUR 117.69
-
49 924 Ft (47 546 Ft + 5% VAT)
The price is estimated because at the time of ordering we do not know what conversion rates will apply to HUF / product currency when the book arrives. In case HUF is weaker, the price increases slightly, in case HUF is stronger, the price goes lower slightly.
- Discount 8% (cc. 3 994 Ft off)
- Discounted price 45 929 Ft (43 742 Ft + 5% VAT)
49 924 Ft
Availability
Not yet published.
Why don't you give exact delivery time?
Delivery time is estimated on our previous experiences. We give estimations only, because we order from outside Hungary, and the delivery time mainly depends on how quickly the publisher supplies the book. Faster or slower deliveries both happen, but we do our best to supply as quickly as possible.
Product details:
- Publisher Springer
- Date of Publication 6 April 2025
- Number of Volumes 1 pieces, Book
- ISBN 9783031508813
- Binding Paperback
- No. of pages386 pages
- Size 235x155 mm
- Language English
- Illustrations IX, 386 p. 700
Categories
Short description:
The book is devoted to the study of approximate solutions of fixed point problems in the presence of computational errors. It begins with a study of approximate solutions of star-shaped feasibility problems in the presence of perturbations. 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. A number of algorithms are considered for solving convex feasibility problems and common fixed point problems. The book will be of interest for researchers and engineers working in optimization, numerical analysis, and fixed point theory. It also can be useful in preparation courses for graduate students. The main feature of the book which appeals specifically to this audience is the study of the influence of computational errors for several important algorithms used for nonconvex feasibility problems.
Long description:
The book is devoted to the study of approximate solutions of fixed point problems in the presence of computational errors. It begins with a study of approximate solutions of star-shaped feasibility problems in the presence of perturbations. 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. A number of algorithms are considered for solving convex feasibility problems and common fixed point problems. The book will be of interest for researchers and engineers working in optimization, numerical analysis, and fixed point theory. It also can be useful in preparation courses for graduate students. The main feature of the book which appeals specifically to this audience is the study of the influence of computational errorsfor several important algorithms used for nonconvex feasibility problems.
Table of Contents:
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.
More
