| 书目名称 | Model Reduction of Parametrized Systems | | 编辑 | Peter Benner,Mario Ohlberger,Karsten Urban | | 视频video | | | 概述 | Represents the state of the art in the development of reduced order methods.Gathers contributions from internationally respected experts.Reflects an important effort to build a growing research commun | | 丛书名称 | MS&A | | 图书封面 |  | | 描述 | .The special volume offers a global guide to new concepts and approaches concerning the following topics: reduced basis methods, proper orthogonal decomposition, proper generalized decomposition, approximation theory related to model reduction, learning theory and compressed sensing, stochastic and high-dimensional problems, system-theoretic methods, nonlinear model reduction, reduction of coupled problems/multiphysics, optimization and optimal control, state estimation and control, reduced order models and domain decomposition methods, Krylov-subspace and interpolatory methods, and applications to real industrial and complex problems..The book represents the state of the art in the development of reduced order methods. It contains contributions from internationally respected experts, guaranteeing a wide range of expertise and topics. Further, it reflects an important effor.t, carried out over the last 12 years, to build a growing research community in this field..Though not a textbook, some of the chapters can be used as reference materials or lecture notes for classes and tutorials (doctoral schools, master classes).. | | 出版日期 | Book 2017 | | 关键词 | Model order reduction; Reduced order methods; Reduced order modeling; Offline-Online computing; Parametr | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-319-58786-8 | | isbn_softcover | 978-3-319-86475-4 | | isbn_ebook | 978-3-319-58786-8Series ISSN 2037-5255 Series E-ISSN 2037-5263 | | issn_series | 2037-5255 | | copyright | Springer International Publishing AG 2017 |
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发表于 2025-3-21 19:52:25
