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245 1 0 _aSIAM International Meshing Roundtable 2023
_h[electronic resource] /
_cedited by Eloi Ruiz-Gironés, Rubén Sevilla, David Moxey.
250 _a1st ed. 2024.
264 1 _aCham :
_bSpringer Nature Switzerland :
_bImprint: Springer,
_c2024.
300 _aXIII, 459 p. 308 illus., 270 illus. in color.
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336 _atext
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337 _acomputer
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338 _aonline resource
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490 1 _aLecture Notes in Computational Science and Engineering,
_x2197-7100 ;
_v147
505 0 _aData Structures and Management -- Machine Learning -- Mesh generation for fluid applications -- Mesh adaption and refinement -- Cross field mesh generation -- Element Design. .
520 _aThis 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.
650 0 _aMathematics.
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650 0 _aComputer science.
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650 1 4 _aMathematics.
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650 2 4 _aComputer Science.
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700 1 _aRuiz-Gironés, Eloi.
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700 1 _aSevilla, Rubén.
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700 1 _aMoxey, David.
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776 0 8 _iPrinted edition:
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830 0 _aLecture Notes in Computational Science and Engineering,
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856 4 0 _uhttps://doi.org/10.1007/978-3-031-40594-5
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