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Model Reduction of Complex Dynamical Systems (Hardcover, 1st ed. 2021)
Loot Price: R3,734
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Model Reduction of Complex Dynamical Systems (Hardcover, 1st ed. 2021)
Series: International Series of Numerical Mathematics, 171
Expected to ship within 12 - 17 working days
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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.
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