Index-aware model order reduction methods [electronic resource] : applications to differential-algebraic equations / N. Banagaaya, G. Ali, W.H.A. Schilders.
2016
QA372.5
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Title
Index-aware model order reduction methods [electronic resource] : applications to differential-algebraic equations / N. Banagaaya, G. Ali, W.H.A. Schilders.
Author
Banagaaya, N. author.
ISBN
9789462391895 (electronic book)
9462391890 (electronic book)
9789462391888
9462391890 (electronic book)
9789462391888
Published
[Paris] : Atlantis Press, 2016.
Language
English
Description
1 online resource (ix, 86 pages) : illustrations.
Item Number
10.2991/978-94-6239-189-5 doi
Call Number
QA372.5
Dewey Decimal Classification
515/.35
Summary
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.
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Access limited to authorized users.
Source of Description
Online resource; title from title details screen (SpringerLink, viewed March 1, 2016).
Added Author
Ali, G., author.
Schilders, W. H. A., author.
Schilders, W. H. A., author.
Series
Atlantis studies in scientific computing in electromagnetics ; 2
Available in Other Form
Print version: 9789462391888
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Table of Contents
Introduction
Di{uFB00}erential-Algebraic Equations
Decoupling of linear constant DAEs
Index-aware model order reduction
Large scale problems
Conclusion.
Di{uFB00}erential-Algebraic Equations
Decoupling of linear constant DAEs
Index-aware model order reduction
Large scale problems
Conclusion.