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Part of the book series: Lecture Notes in Computational Science and Engineering ((LNCSE,volume 33))

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Abstract

Operator splitting is a common method for solving systems of partial differential equations. This is particularly the case if the system is composed of separate equations for which suitable software already exists. In such cases, operator splitting combined with explicit time-stepping is a straight forward approach. However, for some systems, implicit time-stepping is to be preferred because of better stability properties. The problem of combining existing codes in a fully implicit manner is much harder than the explicit case. The purpose of the present chapter is to discuss some examples illustrating the possibilities of combining existing codes in an implicit manner.

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References

  1. E. J. Holm, A. M. Bruaset, and H. P. Langtangen. Increasing the reliability and efficiency of numerical software development. In A. M. Bruaset, E. Arge, and H. P. Langtangen, editors, Modern Software Tools for Scientific Computing. Birkhuser, 1997.

    Google Scholar 

  2. Diffpack website. http://www.diffpack.com.

    Google Scholar 

  3. H. P. Langtangen. Computational Partial Differential Equations-Numerical Methods and Diffpack Programming. Textbooks in Computational Science and Engineering. Springer, 2nd edition, 2003.

    Google Scholar 

  4. Donald W. Peaceman. Fundamentals of numerical reservoir simulations. Elsevier Scientific Publishing company, 1977.

    Google Scholar 

  5. Klas Samuelsson. Adaptive Algorithm for Finite Element Methods approximat-ing Flow Problems. PhD thesis, Royal Institute of Technology, Department of Numerical Analysis and Computing Science, Stockholm, Sweden, 1996.

    Google Scholar 

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© 2003 Springer-Verlag Berlin Heidelberg

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Ødegård, Å., Langtangen, H.P., Tveito, A. (2003). Fully Implicit Methods for Systems of PDEs. In: Langtangen, H.P., Tveito, A. (eds) Advanced Topics in Computational Partial Differential Equations. Lecture Notes in Computational Science and Engineering, vol 33. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-18237-2_6

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  • DOI: https://doi.org/10.1007/978-3-642-18237-2_6

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-01438-6

  • Online ISBN: 978-3-642-18237-2

  • eBook Packages: Springer Book Archive

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