Download the fantastic book titled Model Reduction of Parametrized Systems written by Peter Benner, available in its entirety in both PDF and EPUB formats for online reading. This page includes a concise summary, a preview of the book cover, and detailed information about "Model Reduction of Parametrized Systems", which was released on 05 September 2017. We suggest perusing the summary before initiating your download. This book is a top selection for enthusiasts of the Mathematics genre.
Summary of Model Reduction of Parametrized Systems by Peter Benner PDF
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).
Detail About Model Reduction of Parametrized Systems PDF
- Author : Peter Benner
- Publisher : Springer
- Genre : Mathematics
- Total Pages : 504 pages
- ISBN : 3319587862
- Release Date : 05 September 2017
- PDF File Size : 28,6 Mb
- Language : English
- Rating : 4/5 from 21 reviews
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