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Record Nr. |
UNINA9910300119103321 |
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Titolo |
Reduced-Order Modeling (ROM) for Simulation and Optimization : Powerful Algorithms as Key Enablers for Scientific Computing / / edited by Winfried Keiper, Anja Milde, Stefan Volkwein |
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Pubbl/distr/stampa |
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 |
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ISBN |
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Edizione |
[1st ed. 2018.] |
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Descrizione fisica |
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1 online resource (184 pages) |
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Disciplina |
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Soggetti |
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Mathematical models |
Computer-aided engineering |
Control engineering |
Robotics |
Mechatronics |
Energy systems |
Applied mathematics |
Engineering mathematics |
Numerical analysis |
Mathematical Modeling and Industrial Mathematics |
Computer-Aided Engineering (CAD, CAE) and Design |
Control, Robotics, Mechatronics |
Energy Systems |
Applications of Mathematics |
Numerical Analysis |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Sommario/riassunto |
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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 |
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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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