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Approximation Methods for Polynomial Optimization

  • Kartonierter Einband
  • 124 Seiten
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Polynomial optimization have been a hot research topic for the past few years and its applications range from Operations Research,... Weiterlesen
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Beschreibung

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.



Discuss some important subclasses of polynomial optimization models arising from various applications

Focuses on approximations algorithms with guaranteed worst case performance analysis

Presents a clear view of the basic ideas underlying the design of algorithms and the benefits are highlighted by illustrative examples showing the possible applications

Includes supplementary material: sn.pub/extras



Inhalt
1. Introduction.-2. Polynomial over the Euclidean Ball.- 3. Extensions of the Constraint Sets.- 4. Applications.- 5. Concluding Remarks.

Produktinformationen

Titel: Approximation Methods for Polynomial Optimization
Untertitel: Models, Algorithms, and Applications
Autor:
EAN: 9781461439837
ISBN: 1461439833
Format: Kartonierter Einband
Herausgeber: Springer-Verlag GmbH
Veröffentlichung: 01.08.2012
Anzahl Seiten: 124
Gewicht: 213g
Größe: H235mm x B155mm x T7mm
Jahr: 2012
Untertitel: Englisch
Auflage: 2012

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