Approximation Methods for Polynomial Optimization: Models, Algorithms, and Applications (SpringerBriefs in Optimization)
by Zhening Li, Simai He and Shuzhong Zhang
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Approximation Methods for Polynomial Optimization
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.
The book, Approximation Methods for Polynomial Optimization: Models, Algorithms, and Applications (SpringerBriefs in Optimization) [Bulk, Wholesale, Quantity] ISBN#9781461439837 in Paperback by Zhening Li, Simai He, Shuzhong Zhang may be ordered in bulk quantities. Minimum starts at 25 copies. Availability based on publisher status and quantity being ordered.
Details
- Publisher
- Springer New York
- Authors
- Zhening Li, Simai He, Shuzhong Zhang
- Format
- Paperback
- Published
- Jul 24, 2012
- ISBN-13
- 9781461439837
- Pages
- 124
- Printing
- Printed on demand
Approximation Methods for Polynomial Optimization in bulk: pricing
Volume pricing applies automatically in your cart. No codes, no account needed.
| Copies | Price per copy | You save |
|---|---|---|
| 25 – 49 | $43.96 | 12% off list |
| 50 – 99 | $43.46 | 13% off list |
| 100+ | $42.96 | 14% off list |
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