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A Model-Order Reduction Technique for Low Rank Rational Perturbations of Linear Eigenproblems

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Applied Parallel Computing. State of the Art in Scientific Computing (PARA 2004)

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Abstract

Large and sparse rational eigenproblems where the rational term is of low rank k arise in vibrations of fluid–solid structures and of plates with elastically attached loads. Exploiting model order reduction techniques, namely the Padé approximation via block Lanczos method, problems of this type can be reduced to k–dimensional rational eigenproblems which can be solved efficiently by safeguarded iteration.

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© 2006 Springer-Verlag Berlin Heidelberg

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Blömeling, F., Voss, H. (2006). A Model-Order Reduction Technique for Low Rank Rational Perturbations of Linear Eigenproblems. In: Dongarra, J., Madsen, K., Waśniewski, J. (eds) Applied Parallel Computing. State of the Art in Scientific Computing. PARA 2004. Lecture Notes in Computer Science, vol 3732. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11558958_35

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  • DOI: https://doi.org/10.1007/11558958_35

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-29067-4

  • Online ISBN: 978-3-540-33498-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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