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Approximation Methods for Polynomial Optimization by Zhening Li
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Approximation Methods for Polynomial Optimization

Models, Algorithms, and Applications
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Description

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.
Release date NZ
July 24th, 2012
Audience
  • Professional & Vocational
Illustrations
VIII, 124 p.
Pages
124
Dimensions
156x234x7
ISBN-13
9781461439837
Product ID
19864428

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