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Model Reduction of Complex Dynamical Systems (Hardcover, 1st ed. 2021) Loot Price: R3,764
Discovery Miles 37 640
Model Reduction of Complex Dynamical Systems (Hardcover, 1st ed. 2021): Peter Benner, Tobias Breiten, Heike Fassbender, Michael...

Model Reduction of Complex Dynamical Systems (Hardcover, 1st ed. 2021)

Peter Benner, Tobias Breiten, Heike Fassbender, Michael Hinze, Tatjana Stykel, Ralf Zimmermann

Series: International Series of Numerical Mathematics, 171

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Loot Price R3,764 Discovery Miles 37 640 | Repayment Terms: R353 pm x 12*

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This contributed volume presents some of the latest research related to model order reduction of complex dynamical systems with a focus on time-dependent problems. Chapters are written by leading researchers and users of model order reduction techniques and are based on presentations given at the 2019 edition of the workshop series Model Reduction of Complex Dynamical Systems - MODRED, held at the University of Graz in Austria. The topics considered can be divided into five categories: system-theoretic methods, such as balanced truncation, Hankel norm approximation, and reduced-basis methods; data-driven methods, including Loewner matrix and pencil-based approaches, dynamic mode decomposition, and kernel-based methods; surrogate modeling for design and optimization, with special emphasis on control and data assimilation; model reduction methods in applications, such as control and network systems, computational electromagnetics, structural mechanics, and fluid dynamics; and model order reduction software packages and benchmarks. This volume will be an ideal resource for graduate students and researchers in all areas of model reduction, as well as those working in applied mathematics and theoretical informatics.

General

Imprint: Springer Nature Switzerland AG
Country of origin: Switzerland
Series: International Series of Numerical Mathematics, 171
Release date: August 2021
First published: 2021
Editors: Peter Benner • Tobias Breiten • Heike Fassbender • Michael Hinze • Tatjana Stykel • Ralf Zimmermann
Dimensions: 235 x 155mm (L x W)
Format: Hardcover
Pages: 415
Edition: 1st ed. 2021
ISBN-13: 978-3-03-072982-0
Categories: Books > Science & Mathematics > Mathematics > Numerical analysis
Books > Science & Mathematics > Mathematics > Optimization > General
Books > Science & Mathematics > Mathematics > Applied mathematics > Mathematics for scientists & engineers
Books > Science & Mathematics > Mathematics > Applied mathematics > Non-linear science
Books > Professional & Technical > Mechanical engineering & materials > Materials science > Mechanics of solids > Dynamics & vibration
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LSN: 3-03-072982-6
Barcode: 9783030729820

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