Model Order Reduction: Methods, Concepts and Properties-Reference-Cited by-同舟云学术

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Model Order Reduction: Methods, Concepts and Properties

Published:2015 Issue: Volume: Page:159-265
ISSN:1612-3956
Container-title:Mathematics in Industry
language:
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Author:

Antoulas Athanasios C.,Ionutiu Roxana,Martins Nelson,ter Maten E. Jan W.,Mohaghegh Kasra,Pulch Roland,Rommes Joost,Saadvandi Maryam,Striebel Michael

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/978-3-662-46672-8_4

Reference176 articles.

1. Antoulas, A.C.: Approximation of Large-Scale Dynamical Systems. SIAM, Philadelphia (2005)

2. Bai, Z.: Krylov subspace techniques for reduced-order modeling of large-scale dynamical systems. Appl. Numer. Math. 43, 9–44 (2002). doi:10.1016/S0168-9274(02)00116-2. http://dl.acm.org/citation.cfm?id=765737.765740

3. Bechtold, T., Verhoeven, A., ter Maten, E.J.W., Voss, T.: Model order reduction: an advanced, efficient and automated computational tool for microsystems. In: Cutello, V., Fotia, G., Puccio, L. (eds.) Applied and Industrial Mathematics in Italy II: Selected Contributions from the 8th SIMAI Conference, Baia Samuele. Series on Advances in Mathematics for Applied Sciences, vol. 75, pp. 113–124. World Scientific, Singapore (2007)

4. Benner, P., Quintana-Ortí, E.: Solving stable generalized Lyapunov equations with the matrix sign function. Numer. Algorithms 20, 75–100 (1999). http://dx.doi.org/10.1023/A:1019191431273 . 10.1023/A:1019191431273

5. Benner, P., Sorensen, D.C., Mehrmann, V. (eds.): Dimension Reduction of Large-Scale Systems: Proceedings Workshop Oberwolfach, Germany, 2003. Lecture Notes in Computational Science and Engineering, vol. 45, pp. 19–25. Springer, Berlin/Heidelberg (2005)

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