Reduced-Order Modeling (ROM) for Simulation and Optimization: Powerful Algorithms as Key Enablers for Scientific Computing

ISBN 10: 3030091996 ISBN 13: 9783030091996

Edit� par Springer, 2019

Neuf(s) Couverture souple

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This edited monograph collects research contributions and addresses the advancement of efficient numerical procedures in the area of model order reduction (MOR) for simulation, optimization and control. The topical scope includes, but is not limited to, new out-of-the-box algorithmic solutions for scientific computing, e.g. reduced basis methods for industrial problems and MOR approaches for electrochemical processes. The target audience comprises research experts and practitioners in the field of simulation, optimization and control, but the book may also be beneficial for graduate students alike.

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Titre : Reduced-Order Modeling (ROM) for Simulation ...
�diteur : Springer
Date d'�dition : 2019
Reliure : Couverture souple
Etat : New

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Reduced-Order Modeling (ROM) for Simulation and Optimization

Keiper, Winfried|Milde, Anja|Volkwein, Stefan

Edit� par Springer International Publishing, 2019

ISBN 10 : 3030091996 ISBN 13 : 9783030091996

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Reduced-Order Modeling (ROM) for Simulation and Optimization | Powerful Algorithms as Key Enablers for Scientific Computing

Winfried Keiper (u. a.)

Edit� par Springer, 2019

ISBN 10 : 3030091996 ISBN 13 : 9783030091996

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Reduced-Order Modeling (ROM) for Simulation and Optimization

Winfried Keiper

Edit� par Springer International Publishing, Springer Nature Switzerland Jan 2019, 2019

ISBN 10 : 3030091996 ISBN 13 : 9783030091996

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Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -This edited monograph collects research contributions and addresses the advancement of efficient numerical procedures in the area of model order reduction (MOR) for simulation, optimization and control. The topical scope includes, but is not limited to, new out-of-the-box algorithmic solutions for scientific computing, e.g. reduced basis methods for industrial problems and MOR approaches for electrochemical processes. The target audience comprises research experts and practitioners in the field of simulation, optimization and control, but the book may also be beneficial for graduate students alike.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 192 pp. Englisch. N� de r�f. du vendeur 9783030091996

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Reduced-Order Modeling (ROM) for Simulation and Optimization : Powerful Algorithms as Key Enablers for Scientific Computing

Winfried Keiper

Edit� par Springer International Publishing, Springer International Publishing, 2019

ISBN 10 : 3030091996 ISBN 13 : 9783030091996

Neuf Taschenbuch

Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne

�valuation du vendeur 5 sur 5 �toiles

Taschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - This edited monograph collects research contributions and addresses the advancement of efficient numerical procedures in the area of model order reduction (MOR) for simulation, optimization and control. The topical scope includes, but is not limited to, new out-of-the-box algorithmic solutions for scientific computing, e.g. reduced basis methods for industrial problems and MOR approaches for electrochemical processes. The target audience comprises research experts and practitioners in the field of simulation, optimization and control, but the book may also be beneficial for graduate students alike. N� de r�f. du vendeur 9783030091996

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Reduced-Order Modeling (ROM) for Simulation and Optimization

Winfried Keiper

Edit� par Springer International Publishing Jan 2019, 2019

ISBN 10 : 3030091996 ISBN 13 : 9783030091996

Neuf Taschenbuch

impression � la demande

Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne

�valuation du vendeur 5 sur 5 �toiles

Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This edited monograph collects research contributions and addresses the advancement of efficient numerical procedures in the area of model order reduction (MOR) for simulation, optimization and control. The topical scope includes, but is not limited to, new out-of-the-box algorithmic solutions for scientific computing, e.g. reduced basis methods for industrial problems and MOR approaches for electrochemical processes. The target audience comprises research experts and practitioners in the field of simulation, optimization and control, but the book may also be beneficial for graduate students alike. 192 pp. Englisch. N� de r�f. du vendeur 9783030091996

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