Solutions of Fixed Point Problems with Computational Errors
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 ar...
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| Autor corporatiu: | |
| Format: | Electrònic eBook |
| Idioma: | anglès |
| Publicat: |
Cham :
Springer Nature Switzerland : Imprint: Springer,
2024.
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| Edició: | 1st ed. 2024. |
| Col·lecció: | Springer Optimization and Its Applications,
210 |
| Matèries: | |
| Accés en línia: | https://doi.org/10.1007/978-3-031-50879-0 |
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Taula de continguts:
- 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.