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SIAM International Meshing Roundtable 2023

  • Conference proceedings
  • © 2024

Overview

Editors:
  1. Eloi Ruiz-Gironés

    1. Barcelona Supercomputing Center, Barcelona, Spain

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    You can also search for this editor in PubMed   Google Scholar

  2. Rubén Sevilla

    1. College of Engineering, Swansea University, Swansea, UK

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    You can also search for this editor in PubMed   Google Scholar

  3. David Moxey

    1. King's College London, London, UK

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    You can also search for this editor in PubMed   Google Scholar

Part of the book series: Lecture Notes in Computational Science and Engineering (LNCSE, volume 147)

Included in the following conference series:

Conference proceedings info: IMR 2023.

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Table of contents (20 papers)

  1. Front Matter

    Pages i-xiii
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  2. Data Structures and Management

    1. Front Matter

      Pages 1-1
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    2. Generation of Polygonal Meshes in Compact Space

      • Sergio Salinas-Fernández, José Fuentes-Sepúlveda, Nancy Hitschfeld-Kahler
      Pages 3-24

    3. Efficient KD-Tree Based Mesh Redistribution for Data Remapping Algorithms

      • Navamita Ray, Daniel Shevitz, Yipeng Li, Rao Garimella, Angela Herring, Evgeny Kikinzon et al.
      Pages 25-41

    4. Coupe: A Mesh Partitioning Platform

      • Cédric Chevalier, Hubert Hirtz, Franck Ledoux, Sébastien Morais
      Pages 43-63

    5. Formal Definition of Hexahedral Blocking operations Using n-G-Maps

      • Valentin Postat, Nicolas Le Goff, Simon Calderan, Franck Ledoux, Guillaume Hutzler
      Pages 65-89

  3. Machine Learning

    1. Front Matter

      Pages 91-91
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    2. Machine Learning Classification and Reduction of CAD Parts

      • Steven J. Owen, Armida J. Carbajal, Matthew G. Peterson, Corey D. Ernst
      Pages 93-114

    3. Predicting the Near-Optimal Mesh Spacing for a Simulation Using Machine Learning

      • Callum Lock, Oubay Hassan, Ruben Sevilla, Jason Jones
      Pages 115-136

  4. Mesh Generation for Fluid Applications

    1. Front Matter

      Pages 137-137
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    2. Block-Structured Quad Meshing for Supersonic Flow Simulations

      • Claire Roche, Jérôme Breil, Thierry Hocquellet, Franck Ledoux
      Pages 139-166

    3. Robust Generation of Quadrilateral/Prismatic Boundary Layer Meshes Based on Rigid Mapping

      • Hongfei Ye, Taoran Liu, Jianjun Chen, Yao Zheng
      Pages 167-187

    4. Explicit Interpolation-Based CFD Mesh Morphing

      • Ivan Malcevic, Arash Mousavi
      Pages 189-215

  5. Mesh Adaption and Refinement

    1. Front Matter

      Pages 217-217
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    2. A Method for Adaptive Anisotropic Refinement and Coarsening of Prismatic Polyhedra

      • Sandeep Menon, Thomas Gessner
      Pages 219-238

    3. Tetrahedralization of Hexahedral Mesh

      • Aman Timalsina, Matthew Knepley
      Pages 239-251

    4. Combinatorial Methods in Grid Based Meshing

      • Henrik Stromberg, Valentin Mayer-Eichberger, Armin Lohrengel
      Pages 253-269

    5. Estimating the Number of Similarity Classes for Marked Bisection in General Dimensions

      • Guillem Belda-Ferrín, Eloi Ruiz-Gironés, Xevi Roca
      Pages 271-289

  6. Cross Field Mesh Generation

    1. Front Matter

      Pages 291-291
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    2. Quadrilateral Mesh of Non-simply Connected Domain and Non-planar Surfaces From a Given Cross-Field

      • Kokou M. Dotse, Vincent Mouysset, Sébastien Pernet
      Pages 293-312
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Other volumes

  1. SIAM International Meshing Roundtable 2023

Keywords

About this book

This volume comprises selected papers from the SIAM International Meshing Roundtable Workshop 2023, SIAM IMR 2023, held in Amsterdam, the Netherlands, March 6-9, 2023.

The IMR was started by Sandia National Laboratories in 1992 and, since 2021, it has been held under the umbrella of the Society for Industrial and Applied Mathematics (SIAM). The SIAM IMR 2023 was the first in-situ conference to be held since 2019, after two online conferences. It consisted of short courses, technical presentations from keynotes, contributed talks and research notes, a poster session and meshing contest, and discussion panels. The papers in these proceedings present novel contributions that range from theoretical advances to technical applications in engineering, geometric modeling, computer graphics, visualization, and machine learning.


Editors and Affiliations

  • Barcelona Supercomputing Center, Barcelona, Spain

    Eloi Ruiz-Gironés

  • College of Engineering, Swansea University, Swansea, UK

    Rubén Sevilla

  • King's College London, London, UK

    David Moxey

Bibliographic Information

  • Book Title: SIAM International Meshing Roundtable 2023

  • Editors: Eloi Ruiz-Gironés, Rubén Sevilla, David Moxey

  • Series Title: Lecture Notes in Computational Science and Engineering

  • DOI: https://doi.org/10.1007/978-3-031-40594-5

  • 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 2024

  • Hardcover ISBN: 978-3-031-40593-8Published: 21 March 2024

  • Softcover ISBN: 978-3-031-40596-9Due: 21 April 2024

  • eBook ISBN: 978-3-031-40594-5Published: 20 March 2024

  • Series ISSN: 1439-7358

  • Series E-ISSN: 2197-7100

  • Edition Number: 1

  • Number of Pages: XIII, 459

  • Number of Illustrations: 38 b/w illustrations, 270 illustrations in colour

  • Topics: Mathematics, general, Computer Science, general

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