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Domain Decomposition Methods in Science and Engineering XXVI

  • Conference proceedings
  • © 2022

Overview

Editors:
  1. Susanne C. Brenner

    1. Department of Mathematics and Center for Computation and Technology, Louisiana State University, Baton Rouge, USA

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  2. Eric Chung

    1. Department of Mathematics, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong SAR, China

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  3. Axel Klawonn

    1. Department Mathematik/Informatik, Abteilung Mathematik, Universität zu Köln, Köln, Germany

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  4. Felix Kwok

    1. Département de mathématiques et de statistique, Université Laval, Québec, Canada

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  5. Jinchao Xu

    1. Department of Mathematics, Pennsylvania State University, University Park, USA

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  6. Jun Zou

    1. Department of Mathematics, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong SAR, China

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Part of the book series: Lecture Notes in Computational Science and Engineering (LNCSE, volume 145)

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Table of contents (84 papers)

  1. Front Matter

    Pages i-xxxiii
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  2. Plenary Talks (PT)

    1. Front Matter

      Pages 1-1
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    2. Multiscale Model Reduction for a Class of Optimal Control Problems with Highly Oscillating Coefficients

      • Tak Shing Au Yeung, Eric Chung
      Pages 3-15

    3. Several Ways to Achieve Robustness When Solving Wave Propagation Problems

      • Niall Bootland, Victorita Dolean, Pierre Jolivet, Frédéric Nataf, Stéphane Operto, Pierre-Henri Tournier
      Pages 17-28

    4. Scalable Hybrid TFETI-DP Methods for Large Boundary Variational Inequalities

      • Zdeněk Dostál, Tomáš Brzobohatý, David Horák, Jakub Kružík, Oldřich Vlach
      Pages 29-40

    5. Fundamental Coarse Space Components for Schwarz Methods with Crosspoints

      • François Cuvelier, Martin J. Gander, Laurence Halpern
      Pages 41-52

    6. Nonoverlapping Domain Decomposition Methods for Time Harmonic Wave Problems

      • Xavier Claeys, Francis Collino, Patrick Joly, Emile Parolin
      Pages 53-66

    7. Quantitative Analysis of Nonlinear Multifidelity Optimization for Inverse Electrophysiology

      • Fatemeh Chegini, Alena Kopaničáková, Martin Weiser, Rolf Krause
      Pages 67-78

    8. Adaptive Space-Time Finite Element and Isogeometric Analysis

      • Ulrich Langer
      Pages 79-90

    9. Nonoverlapping Domain Decomposition Methods for Saddle Point Problems

      • Jing Li, Xuemin Tu
      Pages 91-101

    10. Local Residual Minimization Smoothing for Improving Convergence Behavior of a Space-Time Domain Decomposition Method

      • Hanyu Li, Mary F. Wheeler
      Pages 103-114

  3. Talks in Minisymposia

    1. Front Matter

      Pages 115-115
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    2. GenEO Coarse Spaces for Heterogeneous Indefinite Elliptic Problems

      • Niall Bootland, Victorita Dolean, Ivan G. Graham, Chupeng Ma, Robert Scheichl
      Pages 117-125

    3. Inexact Subdomain Solves Using Deflated GMRES for Helmholtz Problems

      • N. Bootland, V. Dwarka, P. Jolivet, V. Dolean, C. Vuik
      Pages 127-135

    4. Non-Overlapping Domain Decomposition Methods with Cross-Points and Padé Approximants for the Helmholtz Equation

      • Yassine Boubendir, Tadanaga Takahashi
      Pages 137-144

    5. OSDS: A Sweeping Preconditioner for the Helmholtz Equation

      • Nacime Bouziani, Frédéric Nataf
      Pages 145-152

    6. Decomposition and Preconditioning of Deep Convolutional Neural Networks for Training Acceleration

      • Linyan Gu, Wei Zhang, Jia Liu, Xiao-Chuan Cai
      Pages 153-160

    7. Numerical Calculation of the Portal Pressure Gradient of the Human Liver With a Domain Decomposition Method

      • Zeng Lin, Bokai Wu, Shanlin Qin, Xinhong Wang, Rongliang Chen, Xiao-Chuan Cai
      Pages 161-168

    8. A Parallel Adaptive Finite Element Method for Modeling a Deformable Droplet Travelling in Air

      • Li Luo, Xiao-Chuan Cai, David E. Keyes
      Pages 169-176

    9. On the Effect of Boundary Conditions on the Scalability of Schwarz Methods

      • Gabriele Ciaramella, Luca Mechelli
      Pages 177-185
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Keywords

About this book

These are the proceedings of the 26th International Conference on Domain Decomposition Methods in Science and Engineering, which was hosted by the Chinese University of Hong Kong and held online in December 2020.

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 2020.


Editors and Affiliations

  • Department of Mathematics and Center for Computation and Technology, Louisiana State University, Baton Rouge, USA

    Susanne C. Brenner

  • Department of Mathematics, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong SAR, China

    Eric Chung, Jun Zou

  • Department Mathematik/Informatik, Abteilung Mathematik, Universität zu Köln, Köln, Germany

    Axel Klawonn

  • Département de mathématiques et de statistique, Université Laval, Québec, Canada

    Felix Kwok

  • Department of Mathematics, Pennsylvania State University, University Park, USA

    Jinchao Xu

Bibliographic Information

  • Book Title: Domain Decomposition Methods in Science and Engineering XXVI

  • Editors: Susanne C. Brenner, Eric Chung, Axel Klawonn, Felix Kwok, Jinchao Xu, Jun Zou

  • Series Title: Lecture Notes in Computational Science and Engineering

  • DOI: https://doi.org/10.1007/978-3-030-95025-5

  • Publisher: Springer Cham

  • eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2022

  • Hardcover ISBN: 978-3-030-95024-8Published: 16 March 2023

  • Softcover ISBN: 978-3-030-95027-9Published: 16 March 2024

  • eBook ISBN: 978-3-030-95025-5Published: 15 March 2023

  • Series ISSN: 1439-7358

  • Series E-ISSN: 2197-7100

  • Edition Number: 1

  • Number of Pages: XXXIII, 780

  • Topics: Computational Mathematics and Numerical Analysis

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