Details

Subject(s)

• Data structures (Computer science)—Congresses [Browse]
• Machine learning—Congresses [Browse]
• Numerical grid generation (Numerical analysis)—Congresses [Browse]

Author

• Sevilla, Rubén [Browse]
• Moxey, David [Browse]

Series

• Lecture notes in computational science and engineering ; Volume 147. [More in this series]
• Lecture Notes in Computational Science and Engineering Series ; Volume 147

Summary note

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.

Source of description

Description based on print version record.

Contents

• Data Structures and Management
• Machine Learning
• Mesh generation for fluid applications
• Mesh adaption and refinement
• Cross field mesh generation
• Element Design. .

Show 3 more Contents items

ISBN

3-031-40594-3

Doi

• 10.1007/978-3-031-40594-5

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