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Domain Decomposition Methods in Science and Engineering XXI pp 397–405Cite as

Domain Decomposition Methods in Feel++

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Part of the book series: Lecture Notes in Computational Science and Engineering ((LNCSE,volume 98))

Abstract

This paper presents our ongoing work on building a versatile domain decomposition methods framework in Feel++ that provides expressivity (e.g. closeness to the mathematical language) and efficiency. We display in particular the capabilities of Feel++ regarding Schwarz (non)overlapping and mortar methods. Some numerical tests and code snippets, taken from Feel++, support the explanations.

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Acknowledgements

The authors would like to thank Frédéric Nataf, Silvia Bertoluzza and Pierre Jolivet for many fruitful discussions. This ongoing work has been sponsored by ANR-Cosinus-HAMM and the Region Rhone-Alpes. It was granted access to the HPC resources of TGCC@CEA made available within the Distributed European Computing Initiative by the PRACE-2IP, receiving funding from the European Community’s Seventh Framework Programme (FP7/2007–2013) under grant agreement RI-283493.

Author information

Authors and Affiliations

  1. Laboratoire Jean Kuntzmann, Université Joseph Fourier Grenoble 1, BP53, 38041, Grenoble Cedex 9, France

    Abdoulaye Samaké, Vincent Chabannes & Christophe Picard

  2. Université de Strasbourg/CNRS, IRMA/UMR 7501, 67000, Strasbourg, France

    Christophe Prud’homme

Authors
  1. Abdoulaye Samaké
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  2. Vincent Chabannes
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  3. Christophe Picard
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  4. Christophe Prud’homme
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Corresponding author

Correspondence to Abdoulaye Samaké .

Editor information

Editors and Affiliations

  1. INRIA, Rennes, France

    Jocelyne Erhel

  2. Section de Mathématiques, Université de Genève, Genève, Switzerland

    Martin J. Gander

  3. Laboratoire Analyse, Géometrie & Applications, Université Paris XIII, Villetaneuse, France

    Laurence Halpern

  4. INRIA, Rennes, France

    Géraldine Pichot

  5. Laboratoire LMNO, Université de Caen, Caen, France

    Taoufik Sassi

  6. New York University Courant Institute, New York, New York, USA

    Olof Widlund

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© 2014 Springer International Publishing Switzerland

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Samaké, A., Chabannes, V., Picard, C., Prud’homme, C. (2014). Domain Decomposition Methods in Feel++. In: Erhel, J., Gander, M., Halpern, L., Pichot, G., Sassi, T., Widlund, O. (eds) Domain Decomposition Methods in Science and Engineering XXI. Lecture Notes in Computational Science and Engineering, vol 98. Springer, Cham. https://doi.org/10.1007/978-3-319-05789-7_37

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