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Approximation Methods Polynomial Optimization by Zhening (17 results)
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Approximation Methods for Polynomial Optimization: Models, Algorithms, and Applications (SpringerBriefs in Optimization)
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Approximation Methods for Polynomial Optimization : Models, Algorithms, and Applications
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Add to basketPaperback. Condition: Brand New. 124 pages. 9.00x6.00x0.25 inches. In Stock.
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Approximation Methods for Polynomial Optimization : Models, Algorithms, and Applications
Published by Springer New York, Springer US, 2012
ISBN 10: 1461439833 ISBN 13: 9781461439837
Language: English
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Add to basketTaschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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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Approximation Methods for Polynomial Optimization
Published by Springer New York, Springer US Jul 2012, 2012
ISBN 10: 1461439833 ISBN 13: 9781461439837
Language: English
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Add to basketTaschenbuch. Condition: Neu. Neuware -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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 132 pp. Englisch.
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Approximation Methods for Polynomial Optimization : Models, Algorithms, and Applications
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Approximation Methods for Polynomial Optimization
Published by Springer New York Jul 2012, 2012
ISBN 10: 1461439833 ISBN 13: 9781461439837
Language: English
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Add to basketTaschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 132 pp. Englisch.
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Approximation Methods for Polynomial Optimization: Models, Algorithms, and Applications
Published by Springer-Verlag New York Inc., 2012
ISBN 10: 1461439833 ISBN 13: 9781461439837
Language: English
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Add to basketCondition: New. 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.
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Add to basketKartoniert / Broschiert. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Discuss some important subclasses of polynomial optimization models arising from various applicationsFocuses on approximations algorithms with guaranteed worst case performance analysisPresents a clear view of the basic ideas underlying the.
