Optimization on Solution Sets of Common Fixed Point Problems / Springer Optimization and Its Applications Bd.178 (PDF)
(Sprache: Englisch)
This book is devoted to a detailed study of the subgradient projection method and its variants for convex optimization problems over the solution sets of common fixed point problems and convex feasibility problems. These optimization problems are...
sofort als Download lieferbar
Printausgabe 149.79 €
eBook (pdf) -7%
139.09 €
69 DeutschlandCard Punkte
sammeln
- Lastschrift, Kreditkarte, Paypal, Rechnung
- Kostenloser tolino webreader
Produktdetails
Produktinformationen zu „Optimization on Solution Sets of Common Fixed Point Problems / Springer Optimization and Its Applications Bd.178 (PDF)“
This book is devoted to a detailed study of the subgradient projection method and its variants for convex optimization problems over the solution sets of common fixed point problems and convex feasibility problems. These optimization problems are investigated to determine good solutions obtained by different versions of the subgradient projection algorithm in the presence of sufficiently small computational errors. The use of selected algorithms is highlighted including the Cimmino type subgradient, the iterative subgradient, and the dynamic string-averaging subgradient. All results presented are new. Optimization problems where the underlying constraints are the solution sets of other problems, frequently occur in applied mathematics. The reader should not miss the section in Chapter 1 which considers some examples arising in the real world applications. The problems discussed have an important impact in optimization theory as well. The book will be usefulfor researches interested in the optimization theory and its applications.
Autoren-Porträt von Alexander J. Zaslavski
¿Alexander J. Zaslavski is professor in the Department of Mathematics, Technion-Israel Institute of Technology, Haifa, Israel. He has authored numerous books with Springer, the most recent of which include Turnpike Theory for the Robinson-Solow-Srinivasan Model (978-3-030-60306-9), The Projected Subgradient Algorithm in Convex Optimization (978-3-030-60299-4), Convex Optimization with Computational Errors (978-3-030-37821-9), Turnpike Conditions in Infinite Dimensional Optimal Control (978-3-030-20177-7).
Bibliographische Angaben
- Autor: Alexander J. Zaslavski
- 2021, 1st ed. 2021, 434 Seiten, Englisch
- Verlag: Springer International Publishing
- ISBN-10: 3030788490
- ISBN-13: 9783030788490
- Erscheinungsdatum: 09.08.2021
Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.
eBook Informationen
- Dateiformat: PDF
- Größe: 4.06 MB
- Ohne Kopierschutz
- Vorlesefunktion
Sprache:
Englisch
Kommentar zu "Optimization on Solution Sets of Common Fixed Point Problems / Springer Optimization and Its Applications Bd.178"
0 Gebrauchte Artikel zu „Optimization on Solution Sets of Common Fixed Point Problems / Springer Optimization and Its Applications Bd.178“
| Zustand | Preis | Porto | Zahlung | Verkäufer | Rating |
|---|
Schreiben Sie einen Kommentar zu "Optimization on Solution Sets of Common Fixed Point Problems / Springer Optimization and Its Applications Bd.178".
Kommentar verfassen