[PDF.35jg] Approximation Methods for Polynomial Optimization: Models, Algorithms, and Applications (SpringerBriefs in Optimization)

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

[PDF.qr45] Approximation Methods for Polynomial Optimization: Models, Algorithms, and Applications (SpringerBriefs in Optimization)

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 | #8536164 in Books |  Springer |  2012-07-24 | Original language:English | PDF # 1 |  9.25 x.30 x6.10l,.44 | File type: PDF | 124 pages

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|| ||From the reviews:“The book is an outgrowth of the first author’s Ph.D. thesis, defended in 2011 … . It is a well-written timely collection of state-of-the-art approximation algorithms for polynomial optimization problems … . All of t

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 analysi...

You easily download any file type for your device.Approximation Methods for Polynomial Optimization: Models, Algorithms, and Applications (SpringerBriefs in Optimization)   |  Zhening Li, Simai He, Shuzhong Zhang. Just read it with an open mind because none of us really know.

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