Reduced-Order Modeling (ROM) for Simulation and Optimization

Powerful Algorithms as Key Enablers for Scientific Computing

Nonfiction, Computers, Application Software, CAD/CAM, Science & Nature, Mathematics, Applied
Cover of the book Reduced-Order Modeling (ROM) for Simulation and Optimization by , Springer International Publishing
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Author: ISBN: 9783319753195
Publisher: Springer International Publishing Publication: April 11, 2018
Imprint: Springer Language: English
Author:
ISBN: 9783319753195
Publisher: Springer International Publishing
Publication: April 11, 2018
Imprint: Springer
Language: English

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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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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