Approximation Methods for Polynomial Optimization: Models, Algorithms, and Applications (SpringerBriefs in Optimization) - Softcover

Buch 3 von 43: SpringerBriefs in Optimization

Li, Zhening; He, Simai; Zhang, Shuzhong

 
9781461439837: Approximation Methods for Polynomial Optimization: Models, Algorithms, and Applications (SpringerBriefs in Optimization)
Softcover
ISBN 10: 1461439833 ISBN 13: 9781461439837
Verlag: Springer, 2012

Inhaltsangabe

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.

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Verlag
Springer
Erscheinungsdatum
2012
Sprache
Englisch
ISBN 10 
1461439833
ISBN 13 
9781461439837
Einband
Taschenbuch
Anzahl der Seiten
132
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9781461439851: Approximation Methods for Polynomial Optimization: Models, Algorithms, and Applications

Vorgestellte Ausgabe

ISBN 10:  146143985X ISBN 13:  9781461439851
Verlag: Springer, 2012
Softcover