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  • Conference proceedings
  • © 2020

Domain Decomposition Methods in Science and Engineering XXV

Conference proceedings info: DD 2018.

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  • ISBN: 978-3-030-56750-7
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Softcover Book USD 199.99
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Table of contents (57 papers)

  1. Front Matter

    Pages i-xxvi
  2. Plenary Talks (PT)

    1. Front Matter

      Pages 1-1
    2. Adaptive BDDC Based on Local Eigenproblems

      • Clemens Pechstein
      Pages 16-28
    3. From Domain Decomposition to Homogenization Theory

      • Daniel Peterseim, Dora Varga, Barbara Verfürth
      Pages 29-40
    4. Robust Model Reduction Discretizations Based on Adaptive BDDC Techniques

      • Alexandre Madureira, Marcus Sarkis
      Pages 41-52
  3. Talks in Minisymposia (MT)

    1. Front Matter

      Pages 65-65
    2. Dirichlet-Neumann Preconditioning for Stabilised Unfitted Discretization of High Contrast Problems

      • Blanca Ayuso de Dios, Kyle Dunn, Marcus Sarkis, Simone Scacchi
      Pages 67-74
    3. A Parallel Solver for a Preconditioned Space-Time Boundary Element Method for the Heat Equation

      • Stefan Dohr, Michal Merta, Günther Of, Olaf Steinbach, Jan Zapletal
      Pages 108-116
    4. On Inexact Solvers for the Coarse Problem of BDDC

      • Clark R. Dohrmann, Kendall H. Pierson, Olof B. Widlund
      Pages 117-124
    5. Asynchronous One-Level and Two-Level Domain Decomposition Solvers

      • Christian Glusa, Erik G. Boman, Edmond Chow, Sivasankaran Rajamanickam, Paritosh Ramanan
      Pages 134-142
    6. Comparison of Continuous and Discrete Techniques to Apply Coarse Corrections

      • Martin J. Gander, Laurence Halpern, Kévin Santugini-Repiquet
      Pages 143-150
    7. On the Scalability of the Parallel Schwarz Method in One-Dimension

      • Gabriele Ciaramella, Muhammad Hassan, Benjamin Stamm
      Pages 151-158

Other Volumes

  1. Domain Decomposition Methods in Science and Engineering XXV

About this book

These are the proceedings of the 25th International Conference on Domain Decomposition Methods in Science and Engineering, which was held in St. John's, Newfoundland, Canada in July 2018. 

Domain decomposition methods are iterative methods for solving the often very large systems of equations that arise when engineering problems are discretized, frequently using finite elements or other modern techniques. These methods are specifically designed to make effective use of massively parallel, high-performance computing systems.

The book presents both theoretical and computational advances in this domain, reflecting the state of art in 2018.


Keywords

  • Domain decomposition methods
  • Iterative methods
  • Numerical methods for PDEs
  • Parallel computing
  • Large linear systems of equations
  • Finite element method
  • partial differential equations

Editors and Affiliations

  • Department of Mathematics and Statistics, Memorial University of Newfoundland, St. John's, Canada

    Ronald Haynes, Scott MacLachlan

  • Department of Computer Science, University of Colorado, Boulder, USA

    Xiao-Chuan Cai

  • Laboratoire Analyse, Geometrie, Université Paris XIII, Villetaneuse, France

    Laurence Halpern

  • Department of Applied Mathematics, Kyung Hee University, Yongin, Korea (Republic of)

    Hyea Hyun Kim

  • Mathematisches Institut, Universität zu Köln, Köln, Germany

    Axel Klawonn

  • New York University, New York, USA

    Olof Widlund

Bibliographic Information

Buying options

eBook USD 149.00
Price excludes VAT (USA)
  • ISBN: 978-3-030-56750-7
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
Softcover Book USD 199.99
Price excludes VAT (USA)
Hardcover Book USD 199.99
Price excludes VAT (USA)