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Domain Decomposition Methods in Science and Engineering XIX

  • Conference proceedings
  • © 2011

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Editors:
  1. Yunqing Huang

    1. , Department of Mathematics, Xiangtan University, Xiangtan, China, People's Republic

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  2. Ralf Kornhuber

    1. FB Mathematik und Informatik, Freie Universität Berlin, Berlin, Germany

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  3. Olof Widlund

    1. Department of Mathematics, Courant Institute of Math. Sciences, New York University, New York, USA

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  4. Jinchao Xu

    1. Eberly College of Science, Dept. Mathematics, Pennsylvania State University, University Park, USA

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

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Table of contents (53 papers)

  1. Minisymposia

    1. Robust Preconditioner for H(curl) Interface Problems

      • Jinchao Xu, Yunrong Zhu
      Pages 173-180

    2. Mixed Multiscale Finite Element Analysis for Wave Equations Using Global Information

      • Lijian Jiang, Yalchin Efendiev
      Pages 181-188

    3. A Domain Decomposition Preconditioner for Multiscale High-Contrast Problems

      • Yalchin Efendiev, Juan Galvis
      Pages 189-196

    4. Weighted Poincaré Inequalities and Applications in Domain Decomposition

      • Clemens Pechstein, Robert Scheichl
      Pages 197-204

    5. Technical Tools for Boundary Layers and Applications to Heterogeneous Coefficients

      • Maksymilian Dryja*, Marcus Sarkis
      Pages 205-212

    6. Coarse Spaces over the Ages

      • Jan Mandel*, Bedřich Sousedík†
      Pages 213-220

    7. FETI-DP for Stokes-Mortar-Darcy Systems

      • Juan Galvis, Marcus Sarkis
      Pages 221-228

    8. Multigrid Methods for Elliptic Obstacle Problems on 2D Bisection Grids

      • Long Chen, Ricardo H. Nochetto, Chen-Song Zhang
      Pages 229-236

    9. How Close to the Fully Viscous Solution Can One Get with Inviscid Approximations in Subregions ?

      • Martin J. Gander, Laurence Halpern, Veronique Martin
      Pages 237-244

    10. Schwarz Waveform Relaxation Algorithms with Nonlinear Transmission Conditions for Reaction-Diffusion Equations

      • Filipa Caetano, Martin J. Gander, Laurence Halpern, Jérémie Szeftel
      Pages 245-252

    11. Recent Advances in Schwarz Waveform Moving Mesh Methods – A New Moving Subdomain Method

      • Ronald D. Haynes
      Pages 253-260

    12. Optimized Schwarz Waveform Relaxation Methods: A Large Scale Numerical Study

      • Martin J. Gander, Loïc Gouarin, Laurence Halpern
      Pages 261-268

    13. Optimized Schwarz Methods for Maxwell’s Equations with Non-zero Electric Conductivity

      • Victorita Dolean, Mohamed El Bouajaji, Martin J. Gander, Stéphane Lanteri
      Pages 269-276

    14. Robust Boundary Element Domain Decomposition Solvers in Acoustics

      • Olaf Steinbach, Markus Windisch
      Pages 277-284

    15. A Newton Based Fluid–Structure Interaction Solver with Algebraic Multigrid Methods on Hybrid Meshes

      • Huidong Yang, Walter Zulehner
      Pages 285-292

    16. Coupled FE/BE Formulations for the Fluid–Structure Interaction

      • Günther Of, Olaf Steinbach
      Pages 293-300

    17. Domain Decomposition Solvers for Frequency-Domain Finite Element Equations

      • Dylan Copeland, Michael Kolmbauer, Ulrich Langer
      Pages 301-308

    18. Deriving the X-Z Identity from Auxiliary Space Method*

      • Long Chen
      Pages 309-316

    19. A Near-Optimal Hierarchical Estimate Based Adaptive Finite Element Method for Obstacle Problems

      • Qingsong Zou
      Pages 317-324

    20. Efficient Parallel Preconditioners for High-Order Finite Element Discretizations of H(grad) and H(curl) Problems

      • Junxian Wang, Shi Shu, Liuqiang Zhong
      Pages 325-332
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About this book

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.

Editors and Affiliations

  • , Department of Mathematics, Xiangtan University, Xiangtan, China, People's Republic

    Yunqing Huang

  • FB Mathematik und Informatik, Freie Universität Berlin, Berlin, Germany

    Ralf Kornhuber

  • Department of Mathematics, Courant Institute of Math. Sciences, New York University, New York, USA

    Olof Widlund

  • Eberly College of Science, Dept. Mathematics, Pennsylvania State University, University Park, USA

    Jinchao Xu

About the editors

The editors are all well-known researchers in this research field.

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