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A New Parareal Algorithm for Time-Periodic Problems with Discontinuous Inputs

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Domain Decomposition Methods in Science and Engineering XXV (DD 2018)

Part of the book series: Lecture Notes in Computational Science and Engineering ((LNCSE,volume 138))

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Abstract

Time-periodic problems appear naturally in engineering applications. For instance,the time-periodic steady-state behavior of an electromagnetic device is often the main interest in electrical engineering, because devices are operated most of their life-time in this state.

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Author information

Authors and Affiliations

  1. Section de Mathématiques, University of Geneva, 2-4 Rue du Lièvre, CH-1211, Geneva, Switzerland

    Martin J. Gander

  2. Institut für Teilchenbeschleunigung und Elektromagnetische Felder, Technische Universität Darmstadt, Schlossgartenstrasse 8, D-64289, Darmstadt, Germany

    Iryna Kulchytska-Ruchka & Sebastian Schöps

Authors
  1. Martin J. Gander
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  2. Iryna Kulchytska-Ruchka
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  3. Sebastian Schöps
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Corresponding author

Correspondence to Martin J. Gander .

Editor information

Editors and Affiliations

  1. Department of Mathematics and Statistics, Memorial University of Newfoundland, St. John's, NL, Canada

    Ronald Haynes

  2. Department of Mathematics and Statistics, Memorial University of Newfoundland, St. John's, NL, Canada

    Scott MacLachlan

  3. Department of Computer Science, University of Colorado, Boulder, CO, USA

    Xiao-Chuan Cai

  4. Laboratoire Analyse, Geometrie, Université Paris XIII, Villetaneuse, France

    Laurence Halpern

  5. Department of Applied Mathematics, Kyung Hee University, Yongin, Korea (Republic of)

    Hyea Hyun Kim

  6. Mathematisches Institut, Universität zu Köln, Köln, Germany

    Axel Klawonn

  7. New York University, New York, NY, USA

    Olof Widlund

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Cite this paper

Gander, M.J., Kulchytska-Ruchka, I., Schöps, S. (2020). A New Parareal Algorithm for Time-Periodic Problems with Discontinuous Inputs. In: Haynes, R., et al. Domain Decomposition Methods in Science and Engineering XXV. DD 2018. Lecture Notes in Computational Science and Engineering, vol 138. Springer, Cham. https://doi.org/10.1007/978-3-030-56750-7_27

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