Domain Decomposition Methods in Science and Engineering XIX

  • Yunqing Huang
  • Ralf Kornhuber
  • Olof Widlund
  • Jinchao Xu

Part of the Lecture Notes in Computational Science and Engineering book series (LNCSE, volume 78)

Table of contents

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

    1. Front Matter
      Pages 1-1
    2. Randolph E. Bank*, Hieu Nguyen†
      Pages 3-13
    3. Victorita Dolean, Mohamed El Bouajaji, Martin J. Gander, Stéphane Lanteri, Ronan Perrussel
      Pages 15-26
    4. Bedřich Sousedík*, Jan Mandel†
      Pages 39-50
    5. Yunqing Huang, Huayi Wei, Wei Yang, Nianyu Yi
      Pages 63-74
  3. Minisymposia

About these proceedings


These are the proceedings of the 19th international conference on domain decomposition methods in science and engineering. Domain decomposition methods are iterative methods for solving the often very large linear or nonlinear systems of algebraic equations that arise in various problems in mathematics, computational science, engineering and industry. They are designed for massively parallel computers and take the memory hierarchy of such systems into account. This is essential for approaching peak floating point performance. There is an increasingly well-developed theory which is having a direct impact on the development and improvement of these algorithms.


domain decomposition finite elements parallel computing preconditioned conjugate gradients

Editors and affiliations

  • Yunqing Huang
    • 1
  • Ralf Kornhuber
    • 2
  • Olof Widlund
    • 3
  • Jinchao Xu
    • 4
  1. 1., Department of MathematicsXiangtan UniversityXiangtanChina, People's Republic
  2. 2.FB Mathematik und InformatikFreie Universität BerlinBerlinGermany
  3. 3.Department of Mathematics, Courant Institute of Math. SciencesNew York UniversityNew YorkUSA
  4. 4.Eberly College of Science, Dept. MathematicsPennsylvania State UniversityUniversity ParkUSA

Bibliographic information

  • DOI
  • Copyright Information Springer-Verlag Berlin Heidelberg 2011
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Mathematics and Statistics
  • Print ISBN 978-3-642-11303-1
  • Online ISBN 978-3-642-11304-8
  • Series Print ISSN 1439-7358
  • About this book
Industry Sectors
Oil, Gas & Geosciences