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Add to basketCondition: New. Brand New! Fast Delivery This is an International Edition and ship within 24-48 hours. Deliver by FedEx and Dhl, & Aramex, UPS, & USPS and we do accept APO and PO BOX Addresses. Order can be delivered worldwide within 7-10 days and we do have flat rate for up to 2LB. Extra shipping charges will be requested if the Book weight is more than 5 LB. This Item May be shipped from India, United states & United Kingdom. Depending on your location and availability.
Language: English
Published by Springer New York, Springer, 2012
ISBN 10: 1461439833 ISBN 13: 9781461439837
Seller: AHA-BUCH GmbH, Einbeck, Germany
Taschenbuch. 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.
Language: English
Published by The Institution of Engineering and Technology, 2023
ISBN 10: 1839535164 ISBN 13: 9781839535161
Seller: GreatBookPrices, Columbia, MD, U.S.A.
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Language: English
Published by The Institution of Engineering and Technology, 2023
ISBN 10: 1839535164 ISBN 13: 9781839535161
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Taschenbuch. Condition: Neu. Approximation Methods for Polynomial Optimization | Models, Algorithms, and Applications | Zhening Li (u. a.) | Taschenbuch | viii | Englisch | 2012 | Springer | EAN 9781461439837 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Language: English
Published by The Institution of Engineering and Technology, 2023
ISBN 10: 1839535164 ISBN 13: 9781839535161
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Published by The Institution of Engineering and Technology, 2023
ISBN 10: 1839535164 ISBN 13: 9781839535161
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Add to basketCondition: Good. Your purchase helps support Sri Lankan Children's Charity 'The Rainbow Centre'. Ex-library, so some stamps and wear, but in good overall condition. Our donations to The Rainbow Centre have helped provide an education and a safe haven to hundreds of children who live in appalling conditions.
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Published by The Institution of Engineering and Technology, 2023
ISBN 10: 1839535164 ISBN 13: 9781839535161
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Published by The Institution of Engineering and Technology, 2023
ISBN 10: 1839535164 ISBN 13: 9781839535161
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Published by The Institution of Engineering and Technology, 2023
ISBN 10: 1839535164 ISBN 13: 9781839535161
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Language: English
Published by Springer International Publishing AG, Cham, 2025
ISBN 10: 3031784391 ISBN 13: 9783031784392
Seller: Grand Eagle Retail, Bensenville, IL, U.S.A.
Hardcover. Condition: new. Hardcover. This book is an authoritative compilation of the latest advancements in optimization techniques. This book covers a wide array of methods ranging from classical to metaheuristic to AI-enhanced approaches.The chapters are meticulously selected and organized in three sectionsmetaheuristics, machine learning and engineering applications. This allows for an in-depth exploration of diverse topics ranging from image processing to feature selection to data clustering, to practical applications like energy optimization, smart grids, healthcare diagnostics, etc. Each chapter delves into the specific algorithms and applications as well as provides ample theoretical insights.Accordingly, this book is ideally suited for undergraduate and postgraduate students in fields such as science, engineering and computational mathematics. It is also an invaluable resource for courses on artificial intelligence, computational intelligence, etc. Researchers and professionals in evolutionary computation, artificial intelligence and engineering will find the material especially useful for advancing their work and exploring new frontiers in optimization. This book covers a wide array of methods ranging from classical to metaheuristic to AI-enhanced approaches.The chapters are meticulously selected and organized in three sectionsmetaheuristics, machine learning and engineering applications. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.