Language: English
Published by World Scientific Publishing Euro, 2017
ISBN 10: 1786342219 ISBN 13: 9781786342218
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Language: English
Published by World Scientific Pub Co Inc, 2017
ISBN 10: 1786342219 ISBN 13: 9781786342218
Seller: Revaluation Books, Exeter, United Kingdom
Hardcover. Condition: Brand New. 240 pages. 9.00x6.25x0.75 inches. In Stock.
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Language: English
Published by World Scientific Publishing Europe Ltd, 2016
ISBN 10: 1786342219 ISBN 13: 9781786342218
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Gebunden. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. KlappentextrnrnIn full generality, minimizing a polynomial function over a closed semi-algebraic set requires complex mathematical equations. This book explains recent developments from singularity theory and semi-algebraic geometry for studying.
Seller: AHA-BUCH GmbH, Einbeck, Germany
Buch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In full generality, minimizing a polynomial function over a closed semi-algebraic set requires complex mathematical equations. This book explains recent developments from singularity theory and semi-algebraic geometry for studying polynomial optimization problems. Classes of generic problems are defined in a simple and elegant manner by using only the two basic (and relatively simple) notions of Newton polyhedron and non-degeneracy conditions associated with a given polynomial optimization problem. These conditions are well known in singularity theory, however, they are rarely considered within the optimization community.Explanations focus on critical points and tangencies of polynomial optimization, Hölderian error bounds for polynomial systems, FrankWolfe-type theorem for polynomial programs and well-posedness in polynomial optimization. It then goes on to look at optimization for the different types of polynomials. Through this text graduate students, PhD students and researchers of mathematics will be provided with the knowledge necessary to use semi-algebraic geometry in optimization.