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Reduced-Order Modeling (ROM) for Simulation and Optimization

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

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

Keiper, Winfried; Milde, Anja; Volkwein, Stefan

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. 

Details

Published by: Springer

Publication Date: 2018-04-20

Format: Hardcover

ISBN-13: 9783319753188

DOI: 10.1007/978-3-319-75319-5

Dimensions: 235cm x155cm

Pages: 179

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