Domain Decomposition Methods in Science and Engineering XVI

  • Olof B. Widlund
  • David E. Keyes
Conference proceedings

Part of the Lecture Notes in Computational Science and Engineering book series (LNCSE, volume 55)

Table of contents

  1. Front Matter
    Pages I-XXI
  2. Plenary Presentations

    1. Front Matter
      Pages I-XXI
    2. Susanne C. Brenner
      Pages 27-39
    3. Simone Deparis, Marco Discacciati, Gilles Fourestey, Alfio Quarteroni
      Pages 41-52
    4. Bernd Flemisch, Barbara I. Wohlmuth
      Pages 65-76
    5. Roland Glowinski, Jiwen He, Alexei Lozinski, Marco Picasso, Jacques Rappaz, Vittoria Rezzonico et al.
      Pages 77-89
    6. Ulrich L. Hetmaniuk, Richard B. Lehoucq
      Pages 103-113
    7. Frédéric Nataf
      Pages 115-125
    8. Joachim Schöberl, Jens M. Melenk, Clemens G. A. Pechstein, Sabine C. Zaglmayr
      Pages 139-150
  3. Minisymposia

    1. Front Matter
      Pages I-XXI
    2. Volkan Akcelik, George Biros, Omar Ghattas
      Pages 153-153
    3. Ernesto E. Prudencio, Xiao-Chuan Cai
      Pages 155-162
    4. Martin Gander, Fréderic Nataf
      Pages 163-163
    5. Jean Côté, Martin J. Gander, Lahcen Laayouni, Abdessamad Qaddouri
      Pages 165-172
    6. Victorita Dolean, Frédéric Nataf
      Pages 173-180
    7. Amik St-Cyr, Martin J. Gander, Stephen J. Thomas
      Pages 213-220
    8. Daniel Rixen, Christian Rey, Pierre Gosselet
      Pages 221-221
    9. Zdeněk Dostál, David Horák, Dan Stefanica
      Pages 223-230
    10. Weiguo Gao, Xiaoye S. Li, Chao Yang, Zhaojun Bai
      Pages 231-238
    11. Martin J. Gander, Laurence Halpern, Caroline Japhet, Véronique Martin
      Pages 239-246
    12. Martin J. Gander, Stefan Vandewalle
      Pages 291-298
    13. Marcus Sarkis, Daniel Szyld
      Pages 307-307
    14. Serguei Ovtchinnikov, Florin Dobrian, Xiao-Chuan Cai, David Keyes
      Pages 333-340

About these proceedings


Domain decomposition is an active, interdisciplinary research area concerned with the development, analysis, and implementation of coupling and decoupling strategies in mathematical and computational models of natural and engineered systems. Since the advent of hierarchical distributed memory computers, it has been motivated by considerations of concurrency and locality in a wide variety of large-scale problems, continuous and discrete. Historically, it emerged from the analysis of partial differential equations, beginning with the work of Schwarz in 1870. The present volume sets forth new contributions in areas of numerical analysis, computer science, scientific and industrial applications, and software development.


Natur Software computer computer science development numerical analysis science

Editors and affiliations

  • Olof B. Widlund
    • 1
  • David E. Keyes
    • 2
  1. 1.Courant Institute of Mathematical SciencesNew York UniversityNew YorkUSA
  2. 2.Department of Applied Physics & MathematicsColumbia UniversityNew YorkUSA

Bibliographic information