Description: Approximation Methods for Polynomial Optimization : Models, Algorithms, and Applications, Paperback by Li, Zhening; He, Simai; Zhang, Shuzhong, ISBN 1461439833, ISBN-13 9781461439837, Like New Used, Free shipping in the US
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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Book Title: Approximation Methods for Polynomial Optimization : Models, Algor
Number of Pages: VIII, 124 Pages
Language: English
Publication Name: Approximation Methods for Polynomial Optimization : Models, Algorithms, and Applications
Publisher: Springer New York
Item Height: 0.1 in
Subject: Programming / Algorithms, Operations Research, Applied, Optimization
Publication Year: 2012
Type: Textbook
Item Weight: 16 Oz
Item Length: 9.3 in
Subject Area: Mathematics, Computers, Business & Economics
Author: Shuzhong Zhang, Simai He, Zhening Li
Item Width: 6.1 in
Series: Springerbriefs in Optimization Ser.
Format: Trade Paperback
