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International Conference on Large-Scale Scientific Computing

LSSC 2017: Large-Scale Scientific Computing pp 47–54Cite as

Preconditioners for Time-Harmonic Optimal Control Eddy-Current Problems

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Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 10665))

Abstract

Time-harmonic formulations enable solution of time-dependent PDEs without use of normally slow time-stepping methods. Two efficient preconditioners for the discretized parabolic and eddy current electromagnetic optimal control problems, one on block diagonal form and one utilizing the two by two block structure of the resulting matrix, are presented with simplified analysis and numerical illustrations. Both methods result in tight eigenvalue bounds for the preconditioned matrix and very few iterations that hold uniformly with respect to the mesh, problem and method parameters, with the exception of the dependence on reluctivity for the block diagonal preconditioner.

This work was supported by The Ministry of Education, Youth and Sports from the National Programme of Sustainability (NPU II) project “IT4Innovations excellence in science - LQ1602”. The second author was supported by the Czech Science Foundation under the project 17-22615S.

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References

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Author information

Authors and Affiliations

  1. Institute of Geonics, Czech Academy of Sciences, Studentská 1768, 708 00, Ostrava-Poruba, Czech Republic

    Owe Axelsson

  2. VŠB-Technical University of Ostrava, 17. listopadu 15, 708 33, Ostrava-Poruba, Czech Republic

    Dalibor Lukáš

Authors
  1. Owe Axelsson
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  2. Dalibor Lukáš
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Correspondence to Dalibor Lukáš .

Editor information

Editors and Affiliations

  1. Institute of Information and Communication Technologies, Bulgarian Academy of Sciences, Sofia, Bulgaria

    Ivan Lirkov

  2. Institute of Information and Communication Technologies, Bulgarian Academy of Sciences, Sofia, Bulgaria

    Svetozar Margenov

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Axelsson, O., Lukáš, D. (2018). Preconditioners for Time-Harmonic Optimal Control Eddy-Current Problems. In: Lirkov, I., Margenov, S. (eds) Large-Scale Scientific Computing. LSSC 2017. Lecture Notes in Computer Science(), vol 10665. Springer, Cham. https://doi.org/10.1007/978-3-319-73441-5_4

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  • DOI: https://doi.org/10.1007/978-3-319-73441-5_4

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-73440-8

  • Online ISBN: 978-3-319-73441-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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