书目名称 | Model Reduction of Complex Dynamical Systems | 编辑 | Peter Benner,Tobias Breiten,Ralf Zimmermann | 视频video | | 概述 | Presents the latest research on model order reduction of complex dynamical systems.Features contributions from leading researchers and users of model order reduction techniques.Offers an ideal resourc | 丛书名称 | International Series of Numerical Mathematics | 图书封面 |  | 描述 | 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 mathema | 出版日期 | Book 2021 | 关键词 | model reduction; dynamical systems; proper orthogonal decomposition; dynamic mode decomposition; approxi | 版次 | 1 | doi | https://doi.org/10.1007/978-3-030-72983-7 | isbn_softcover | 978-3-030-72985-1 | isbn_ebook | 978-3-030-72983-7Series ISSN 0373-3149 Series E-ISSN 2296-6072 | issn_series | 0373-3149 | copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl |
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