Skip to main content

Advertisement

SpringerLink
Account
Menu
Find a journal Publish with us
Search
Cart
Book cover

Modeling Excitable Tissue pp 56–69Cite as

  1. Home
  2. Modeling Excitable Tissue
  3. Chapter
Solving the EMI Equations using Finite Element Methods

Solving the EMI Equations using Finite Element Methods

  • Miroslav Kuchta13,
  • Kent-André Mardal13 &
  • Marie E. Rognes13 
  • Chapter
  • Open Access
  • First Online: 31 October 2020
  • 1907 Accesses

  • 5 Citations

Part of the Simula SpringerBriefs on Computing book series (RCP,volume 7)

Abstract

This chapter discusses 2 X 2 symmetric variational formulations and associated finite element methods for the EMI equations. We demonstrate that the presented methods converge at expected rates, and compare the approaches in terms of approximation of the transmembrane potential. Overall, the choice of which formulation to employ for solving EMI models becomes largely a matter of desired accuracy and available computational resources.

Chapter PDF

Download to read the full chapter text

References

  1. Babuška I (1973) The finite element method with Lagrangian multipliers. Numerische Mathematik 20(3):179–192

    Google Scholar 

  2. Babuška I, Gatica GN (2003) On the mixed finite element method with Lagrange multipliers. Numerical Methods for Partial Differential Equations: An International Journal 19(2):192–210

    Google Scholar 

  3. Boffi D, Brezzi F, Fortin M, et al. (2013) Mixed Finite Element Methods and Applications, vol 44. Springer Berlin Heidelberg, Berlin, Heidelberg

    Google Scholar 

  4. Chandler-Wilde SN, Hewett DP, Moiola A (2015) Interpolation of Hilbert and Sobolev spaces: quantitative estimates and counterexamples. Mathematika 61(2):414–443

    Google Scholar 

  5. Evans LC (2010) Partial Differential Equations, vol 19. American Mathematical Soc., Providence, Rhode Island

    Google Scholar 

  6. Girault V, Raviart PA (2012) Finite Element Methods for Navier-Stokes Equations: Theory and Algorithms, vol 5. Springer Berlin Heidelberg, Berlin, Heidelberg

    Google Scholar 

  7. Jæger KH, Tveito A (2020) Derivation of a cell-based mathematical model of excitable cells. In: Tveito A, Mardal KA, Rognes ME (eds) Modeling Excitable Tissue - The EMI Framework, Simula Springer Notes in Computing, SpringerNature

    Google Scholar 

  8. Jæger KH, Hustad KG, Cai X, Tveito A (2020) Operator splitting and finite difference schemes for solving the EMI model. In: Tveito A, Mardal KA, Rognes ME (eds) Modeling Excitable Tissue - The EMI Framework, Simula Springer Notes in Computing, SpringerNature

    Google Scholar 

  9. Könnö J, Schötzau D, Stenberg R (2011) Mixed finite element methods for problems with Robin boundary conditions. SIAM Journal on Numerical Analysis 49(1):285–308

    Google Scholar 

  10. Kuchta M, Mardal KA (2020) Iterative solvers for cell-based EMI models. In: Tveito A, Mardal KA, Rognes ME (eds) Modeling Excitable Tissue - The EMI Framework, Simula Springer Notes in Computing, SpringerNature

    Google Scholar 

  11. Kuchta M, Nordaas M, Verschaeve JCG, Mortensen M, Mardal KA (2016) Preconditioners for saddle point systems with trace constraints coupling 2D and 1D domains. SIAM Journal on Scientific Computing 38(6):B962–B987

    Google Scholar 

  12. Kuchta M, Mardal KA, Rognes ME (2020) Software for EMI - Solving the EMI equations using finite element methods. https://doi.org/10.5281/zenodo.3769254, URL https://doi.org/10.5281/zenodo.3769254

  13. Wohlmuth BI (2000) A mortar finite element method using dual spaces for the Lagrange multiplier. SIAM Journal on Numerical Analysis 38(3):989–1012

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Simula Research Laboratory, Fornebu, Norway

    Miroslav Kuchta, Kent-André Mardal & Marie E. Rognes

Authors
  1. Miroslav Kuchta
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Kent-André Mardal
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Marie E. Rognes
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Miroslav Kuchta .

Editor information

Editors and Affiliations

  1. Simula Research Laboratory, Fornebu, Norway

    Prof. Aslak Tveito

  2. Department of Mathematics, University of Oslo, Oslo, Norway

    Prof. Kent-Andre Mardal

  3. Simula Research Laboratory, Fornebu, Norway

    Prof. Marie E. Rognes

Rights and permissions

Open Access This chapter is licensed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

The images or other third party material in this chapter are included in the chapter's Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the chapter's Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder.

Reprints and Permissions

Copyright information

© 2021 The Author(s)

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Kuchta, M., Mardal, KA., Rognes, M.E. (2021). Solving the EMI Equations using Finite Element Methods. In: Tveito, A., Mardal, KA., Rognes, M.E. (eds) Modeling Excitable Tissue. Simula SpringerBriefs on Computing(), vol 7. Springer, Cham. https://doi.org/10.1007/978-3-030-61157-6_5

Download citation

  • .RIS
  • .ENW
  • .BIB
  • DOI: https://doi.org/10.1007/978-3-030-61157-6_5

  • Published: 31 October 2020

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-61156-9

  • Online ISBN: 978-3-030-61157-6

  • eBook Packages: Mathematics and StatisticsMathematics and Statistics (R0)

Share this chapter

Anyone you share the following link with will be able to read this content:

Sorry, a shareable link is not currently available for this article.

Provided by the Springer Nature SharedIt content-sharing initiative

search

Navigation

  • Find a journal
  • Publish with us

Discover content

  • Journals A-Z
  • Books A-Z

Publish with us

  • Publish your research
  • Open access publishing

Products and services

  • Our products
  • Librarians
  • Societies
  • Partners and advertisers

Our imprints

  • Springer
  • Nature Portfolio
  • BMC
  • Palgrave Macmillan
  • Apress
  • Your US state privacy rights
  • Accessibility statement
  • Terms and conditions
  • Privacy policy
  • Help and support

Not affiliated

Springer Nature

© 2023 Springer Nature