MORLAB—The Model Order Reduction LABoratory

Publication typeBook Chapter
Publication date2021-08-26
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ISSN03733149, 22966072
Abstract
For an easy use of model reduction techniques in applications, software solutions are needed. In this paper, we describe the MORLAB, Model Order Reduction LABoratory, toolbox as an efficient implementation of model reduction techniques for dense, medium-scale linear time-invariant systems. Giving an introduction to the underlying programming principles of the toolbox, we show the basic idea of spectral splitting and present an overview about implemented model reduction techniques. Two numerical examples are used to illustrate different use cases of the MORLAB toolbox.
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Benner P., Werner S. W. R. MORLAB—The Model Order Reduction LABoratory // International Series of Numerical Mathematics. 2021. pp. 393-415.
GOST all authors (up to 50) Copy
Benner P., Werner S. W. R. MORLAB—The Model Order Reduction LABoratory // International Series of Numerical Mathematics. 2021. pp. 393-415.
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RIS Copy
TY - GENERIC
DO - 10.1007/978-3-030-72983-7_19
UR - https://doi.org/10.1007/978-3-030-72983-7_19
TI - MORLAB—The Model Order Reduction LABoratory
T2 - International Series of Numerical Mathematics
AU - Benner, Peter
AU - Werner, Steffen W R
PY - 2021
DA - 2021/08/26
PB - Springer Nature
SP - 393-415
SN - 0373-3149
SN - 2296-6072
ER -
BibTex
Cite this
BibTex (up to 50 authors) Copy
@incollection{2021_Benner,
author = {Peter Benner and Steffen W R Werner},
title = {MORLAB—The Model Order Reduction LABoratory},
publisher = {Springer Nature},
year = {2021},
pages = {393--415},
month = {aug}
}