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Titlebook: Index-aware Model Order Reduction Methods; Applications to Diff N. Banagaaya,G. Alì,W.H.A. Schilders Book 2016 Atlantis Press and the autho

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书目名称Index-aware Model Order Reduction Methods
副标题Applications to Diff
编辑N. Banagaaya,G. Alì,W.H.A. Schilders
视频video
概述This is the first book on index-aware model order reduction methods.The splitting technique described in this book is computationally much more effective than existing methods.Methods described for th
丛书名称Atlantis Studies in Scientific Computing in Electromagnetics
图书封面Titlebook: Index-aware Model Order Reduction Methods; Applications to Diff N. Banagaaya,G. Alì,W.H.A. Schilders Book 2016 Atlantis Press and the autho
描述The main aim of this book is to discuss model order reduction (MOR) methods for differential-algebraic equations (DAEs) with linear coefficients that make use of splitting techniques before applying model order reduction. The splitting produces a system of ordinary differential equations (ODE) and a system of algebraic equations, which are then reduced separately. For the reduction of the ODE system, conventional MOR methods can be used, whereas for the reduction of the algebraic systems new methods are discussed.  The discussion focuses on the index-aware model order reduction method (IMOR) and its variations, methods for which the so-called index of the original model is automatically preserved after reduction.
出版日期Book 2016
关键词Differential-Algebraic Equations; Model Order Reduction; Splitting MOR Methods; MOR for Algebraic Syste
版次1
doihttps://doi.org/10.2991/978-94-6239-189-5
isbn_ebook978-94-6239-189-5Series ISSN 2352-0590 Series E-ISSN 2352-0604
issn_series 2352-0590
copyrightAtlantis Press and the author(s) 2016
The information of publication is updating

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Introduction,The main aim of this book is to discuss model order reduction (MOR) methods for linear coefficients differential algebaric equations (DAEs).
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Decoupling of Linear Constant DAEs,In this chapter, we discuss how to decouple DAEs using matrix, projector and basis chains. This approach is based on the projector and matrix chains introduced in [25].
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Large Scale Problems,In this chapter, we illustrate the robustness of the IMOR method on large scale problems from real-life applications.
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