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

ISBN 10: 3030091996 / ISBN 13: 9783030091996

Published by Springer, 2019

About this Item

Print on Demand pp. 192.

Seller Inventory # 371017643

Bibliographic Details

• Title: Reduced-Order Modeling for Simulation and Optimization: Powerful Algorithms as Key Enablers for Scientific Computing
• Publisher: Springer
• Publication Date: 2019
• Language: English
• ISBN 10: 3030091996
• ISBN 13: 9783030091996
• Binding: Soft cover
• Condition: New

About this title

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.