Approximation Methods for Polynomial Optimization / SpringerBriefs in Optimization (PDF)
- Lastschrift, Kreditkarte, Paypal, Rechnung
- Kostenloser tolino webreader
Polynomial optimization have been a hot research topic for the past few years and its applications range from Operations Research, biomedical engineering, investment science, to quantum mechanics, linear algebra, and signal processing, among many others. In this brief the authors discuss some important subclasses of polynomial optimization models arising from various applications, with a focus on approximations algorithms with guaranteed worst case performance analysis. The brief presents a clear view of the basic ideas underlying the design of such algorithms and the benefits are highlighted by illustrative examples showing the possible applications.
This timely treatise will appeal to researchers and graduate students in the fields of optimization, computational mathematics, Operations Research, industrial engineering, and computer science.
- Autoren: Zhening Li , Simai He , Shuzhong Zhang
- 2012, 2012, 124 Seiten, Englisch
- Verlag: Springer-Verlag GmbH
- ISBN-10: 1461439841
- ISBN-13: 9781461439844
- Erscheinungsdatum: 25.07.2012
Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.
- Dateiformat: PDF
- Größe: 1.40 MB
- Ohne Kopierschutz
- Vorlesefunktion
Schreiben Sie einen Kommentar zu "Approximation Methods for Polynomial Optimization / SpringerBriefs in Optimization".
Kommentar verfassen