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.

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Bibliographic Details

Title: Reduced-Order Modeling (ROM) for Simulation and Optimization : Powerful Algorithms as Key Enablers for Scientific Computing
Publisher: Springer International Publishing
Publication Date: 2018
Language: English
ISBN 10: 3319753185
ISBN 13: 9783319753188
Binding: Buch
Condition: Neu
Dimensions: 241 millimeters width by 160 millimeters height by 17 millimeters depth
Weight: 459 grams

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Synopsis

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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