Langue: anglais
Edité par LAP Lambert Academic Publishing, 2012
ISBN 10 : 3659129224 ISBN 13 : 9783659129223
Vendeur : preigu, Osnabrück, Allemagne
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Ajouter au panierTaschenbuch. Etat : Neu. Active sets in bound-constrained optimization without derivatives | New developments in model-based derivative-free optimization | Anke Tröltzsch | Taschenbuch | Englisch | LAP Lambert Academic Publishing | EAN 9783659129223 | Verantwortliche Person für die EU: LAP Lambert Academic Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu.
Langue: anglais
Edité par LAP LAMBERT Academic Publishing, 2012
ISBN 10 : 3659129224 ISBN 13 : 9783659129223
Vendeur : Mispah books, Redhill, SURRE, Royaume-Uni
EUR 157,02
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Ajouter au panierPaperback. Etat : Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
Langue: anglais
Edité par LAP LAMBERT Academic Publishing, 2012
ISBN 10 : 3659129224 ISBN 13 : 9783659129223
Vendeur : moluna, Greven, Allemagne
EUR 56,09
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Ajouter au panierEtat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Troeltzsch AnkeAnke Troeltzsch is currently working at the Simulation and Software Departement at DLR, the German aerospace center. Before, she was pursuing her research in the European research center CERFACS and received her doctoral.
Langue: anglais
Edité par LAP Lambert Academic Publishing, 2012
ISBN 10 : 3659129224 ISBN 13 : 9783659129223
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
EUR 68,82
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Ajouter au panierTaschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Derivative-free optimization (DFO) has enjoyed renewed interest over the past years, mostly motivated by the ever growing need to solve optimization problems defined by functions whose values are computed by simulation (e.g. engineering design, medical image restoration or groundwater supply). In this book, we present a new interpolation-based trust-region algorithm which shows to be efficient and globally convergent (in the sense that its convergence is guaranteed to a stationary point from arbitrary starting points). The new algorithm relies on the technique of self-correcting geometry proposed by Scheinberg and Toint (2010). Furthermore, we extended this method to handle bound constraints by applying an active-set strategy. The resulting algorithm has shown to be numerically highly competitive. We present results on a test set of smooth problems from the CUTEr collection and compare to well-known state-of-the-art packages from different classes of DFO methods. To report numerical experiments incorporating noise, we create a test set of noisy problems by adding perturbations to the set of smooth problems. Finally, we present results on a real-life application.