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  Model Reduction by Iterative Error System Approximation

Antoulas, A. C., Benner, P., & Feng, L. (2018). Model Reduction by Iterative Error System Approximation. Mathematical and Computer Modelling of Dynamical Systems, 24(2), 103-118. doi:10.1080/13873954.2018.1427116.

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© 2018 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives License (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited, and is not altered, transformed, or built upon in any way.

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 Creators:
Antoulas, Athanasios C.1, 2, 3, Author           
Benner, Peter4, 5, Author           
Feng, Lihong4, 5, Author           
Affiliations:
1Max Planck Fellow Group for Data-Driven System Reduction and Identification, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society, ou_2453691              
2Rice University, Houston, TX, USA, ou_persistent22              
3Jacobs University, Bremen, Germany, ou_persistent22              
4Computational Methods in Systems and Control Theory, Max Planck Institute for Dynamics of Complex Technical Systems, Max Planck Society, ou_1738141              
5Otto-von-Guericke-Universität Magdeburg, External Organizations, ou_1738156              

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 Dates: 2018
 Publication Status: Issued
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 Rev. Type: Peer
 Identifiers: DOI: 10.1080/13873954.2018.1427116
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Title: Mathematical and Computer Modelling of Dynamical Systems
Source Genre: Journal
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Pages: - Volume / Issue: 24 (2) Sequence Number: - Start / End Page: 103 - 118 Identifier: -