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Reduced-Order Modeling (ROM) for Simulation and Optimization - Powerful Algorithms as Key Enablers for Scientific Computing (Hardcover, 1st ed. 2018) Loot Price: R2,427
Discovery Miles 24 270
Repayment Terms: R227 pm x 12*
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Reduced-Order Modeling (ROM) for Simulation and Optimization - Powerful Algorithms as Key Enablers for Scientific Computing...

Reduced-Order Modeling (ROM) for Simulation and Optimization - Powerful Algorithms as Key Enablers for Scientific Computing (Hardcover, 1st ed. 2018)

Winfried Keiper, Anja Milde, Stefan Volkwein

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Loot Price R2,427 Discovery Miles 24 270 | Repayment Terms: R227 pm x 12*

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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.

General

Imprint: Springer International Publishing AG
Country of origin: Switzerland
Release date: April 2018
First published: 2018
Editors: Winfried Keiper • Anja Milde • Stefan Volkwein
Dimensions: 235 x 155 x 19mm (L x W x T)
Format: Hardcover
Pages: 179
Edition: 1st ed. 2018
ISBN-13: 978-3-319-75318-8
Categories: Books > Science & Mathematics > Mathematics > Numerical analysis
Books > Professional & Technical > Energy technology & engineering > General
Books > Science & Mathematics > Mathematics > Applied mathematics > Mathematical modelling
Books > Professional & Technical > Technology: general issues > Technical design > Computer aided design (CAD)
Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Automatic control engineering > General
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LSN: 3-319-75318-5
Barcode: 9783319753188

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