Approximation Methods for Polynomial Optimization

Zhang Shuzhong He Simai Li Zhening

ISBN 10: 1461439833 / ISBN 13: 9781461439837

Published by Springer, 2012

About this Item

Print on Demand pp. 134 49:B&W 6.14 x 9.21 in or 234 x 156 mm (Royal 8vo) Perfect Bound on White w/Gloss Lam.

Seller Inventory # 44783101

Bibliographic Details

• Title: Approximation Methods for Polynomial Optimization
• Publisher: Springer
• Publication Date: 2012
• Language: English
• ISBN 10: 1461439833
• ISBN 13: 9781461439837
• Binding: Soft cover
• Condition: New

About this title

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.

From the Back Cover

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