Approximation Methods for Polynomial Optimization

Models, Algorithms, and Applications

Nonfiction, Science & Nature, Mathematics, Applied, Computers, Programming
Cover of the book Approximation Methods for Polynomial Optimization by Zhening Li, Simai He, Shuzhong Zhang, Springer New York
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Author: Zhening Li, Simai He, Shuzhong Zhang ISBN: 9781461439844
Publisher: Springer New York Publication: July 25, 2012
Imprint: Springer Language: English
Author: Zhening Li, Simai He, Shuzhong Zhang
ISBN: 9781461439844
Publisher: Springer New York
Publication: July 25, 2012
Imprint: Springer
Language: English

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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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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