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International Conference on Domain Decomposition Methods

DD 2018: Domain Decomposition Methods in Science and Engineering XXV pp 251–259Cite as

Asymptotic Analysis for Different Partitionings of RLC Transmission Lines

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

Abstract

Among many applications of parallel computing, solving large systems of ordinary differential equations (ODEs) which arise from large scale electronic circuits, or discretizations of partial differential equations (PDEs), form an important part.

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Author information

Authors and Affiliations

  1. Section de Mathématiques, Université de Genève, Geneva, Switzerland

    Martin J. Gander & Pratik M. Kumbhar

  2. EMC Laboratory, Missouri University of Science And Technology, Rolla, USA

    Albert E. Ruehli

Authors
  1. Martin J. Gander
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  2. Pratik M. Kumbhar
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  3. Albert E. Ruehli
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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., Kumbhar, P.M., Ruehli, A.E. (2020). Asymptotic Analysis for Different Partitionings of RLC Transmission Lines. 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_28

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