Domain Decomposition Methods in Science and Engineering XXI

  • Jocelyne Erhel
  • Martin J. Gander
  • Laurence Halpern
  • Géraldine Pichot
  • Taoufik Sassi
  • Olof Widlund

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

Table of contents

  1. Front Matter
    Pages i-xx
  2. Plenary Presentations

    1. Front Matter
      Pages 1-1
    2. Blanca Ayuso de Dios, Ludmil Zikatanov
      Pages 3-15
    3. Eberhard Bänsch, Rodolphe Prignitz
      Pages 17-28
    4. Ralf Hiptmair, Carlos Jerez-Hanckes, Jin-Fa Lee, Zhen Peng
      Pages 43-57
    5. Hyea Hyun Kim, Chang-Ock Lee, Eun-Hee Park
      Pages 59-70
    6. Axel Klawonn, Martin Lanser, Patrick Radtke, Oliver Rheinbach
      Pages 71-83
    7. Géraldine Pichot, Baptiste Poirriez, Jocelyne Erhel, Jean-Raynald de Dreuzy
      Pages 99-112
    8. Chunsheng Feng, Shi Shu, Jinchao Xu, Chen-Song Zhang
      Pages 141-153
  3. Minisymposia

    1. Front Matter
      Pages 155-155
    2. Ronald D. Haynes, Alexander J. M. Howse
      Pages 167-177
    3. Zhangxin Chen, Hui Liu, Song Yu, Ben Hsieh, Lei Shao
      Pages 199-206
    4. Martin J. Gander, Hui Zhang
      Pages 207-215

About these proceedings


This volume contains a selection of papers presented at the 21st international conference on domain decomposition methods in science and engineering held in Rennes, France, June 25-29, 2012. Domain decomposition is an active and interdisciplinary research discipline, focusing on the development, analysis and implementation of numerical methods for massively parallel computers. Domain decomposition methods are among the most efficient solvers for large scale applications in science and engineering. They are based on a solid theoretical foundation and shown to be scalable for many important applications. Domain decomposition techniques can also naturally take into account multiscale phenomena. This book contains the most recent results in this important field of research, both mathematically and algorithmically and allows the reader to get an overview of this exciting branch of numerical analysis and scientific computing.


domain decomposition multiscale methods parallel computation preconditioning scientific computing

Editors and affiliations

  • Jocelyne Erhel
    • 1
  • Martin J. Gander
    • 2
  • Laurence Halpern
    • 3
  • Géraldine Pichot
    • 4
  • Taoufik Sassi
    • 5
  • Olof Widlund
    • 6
  1. 1.INRIARennesFrance
  2. 2.Section de MathématiquesUniversité de GenèveGenèveSwitzerland
  3. 3.Laboratoire Analyse, Géometrie & ApplicationsUniversité Paris XIIIVilletaneuseFrance
  4. 4.INRIARennesFrance
  5. 5.Laboratoire LMNOUniversité de CaenCaenFrance
  6. 6.New York University Courant InstituteNew YorkUSA

Bibliographic information

  • DOI
  • Copyright Information Springer International Publishing Switzerland 2014
  • Publisher Name Springer, Cham
  • eBook Packages Mathematics and Statistics
  • Print ISBN 978-3-319-05788-0
  • Online ISBN 978-3-319-05789-7
  • Series Print ISSN 1439-7358
  • Series Online ISSN 2197-7100
  • About this book