Approximation Methods for Polynomial Optimization: Models, Algorithms, and Applications (2012) (SpringerBriefs in Optimization)
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- Synopsis
- 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.
- Copyright:
- 2012
Book Details
- Book Quality:
- Publisher Quality
- ISBN-13:
- 9781461439844
- Related ISBNs:
- 9781461439837
- Publisher:
- Springer New York
- Date of Addition:
- 12/30/20
- Copyrighted By:
- Zhening Li, Simai He, Shuzhong Zhang
- Adult content:
- No
- Language:
- English
- Has Image Descriptions:
- No
- Categories:
- Nonfiction, Computers and Internet, Mathematics and Statistics
- Submitted By:
- Bookshare Staff
- Usage Restrictions:
- This is a copyrighted book.
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- by Zhening Li
- by Simai He
- by Shuzhong Zhang
- in Nonfiction
- in Computers and Internet
- in Mathematics and Statistics