Summary
In this paper we compare the numerical results obtained by different model order reduction software tools, in order to test their scalability for relevant problems of the microelectronic-industry. MOR for ANSYS is implemented in C++ and ROMWorkbench is a MATLAB code.We further compare two Arnoldi-based reduction algorithms, which seems to be the most promising for microsystem design applications. The chosen benchmarks are large scale linear ODE systems, which arise from the finite element discretisation of electro-thermal MEMS models.
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Keywords
- Input Multiple Output
- Model Order Reduction
- Krylov Subspace
- Cholesky Factorization
- Multiple Input Multiple Output
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© 2007 Springer-Verlag Berlin Heidelberg
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Vollebregt, A.J., Bechtold, T., Verhoeven, A., ter Maten, E.J.W. (2007). Model Order Reduction of Large Scale ODE Systems: MOR for ANSYS versus ROM Workbench. In: Ciuprina, G., Ioan, D. (eds) Scientific Computing in Electrical Engineering. Mathematics in Industry, vol 11. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-71980-9_17
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DOI: https://doi.org/10.1007/978-3-540-71980-9_17
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-71979-3
Online ISBN: 978-3-540-71980-9
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