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Convolutional and non-convolutional PMLs for high-order schemes optimized at grazing incidence for the seismic wave equation

Roland Martin 1, 2 Dimitri Komatitsch 3, 2 Emilien Bruthiaux 4 Stephen D Gedney 5
1 GET - Géosciences Environnement Toulouse
2 Magique 3D - Advanced 3D Numerical Modeling in Geophysics
LMAP - Laboratoire de Mathématiques et de leurs Applications [Pau], Inria Bordeaux - Sud-Ouest
3 MIGP - Modélisation et Imagerie en Géosciences - Pau
4 LST - Laboratoire de Sciences de la Terre
5 University of Kentucky
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Conference papers
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https://hal.inria.fr/hal-00941875
Contributor : Julien Diaz <>
Submitted on : Tuesday, February 4, 2014 - 1:51:40 PM
Last modification on : Friday, January 8, 2021 - 10:12:03 AM

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  • HAL Id : hal-00941875, version 1

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CNRS | INRIA | UNIV-PAU | LMA-PAU | INSMI | INSU | TDS-MACS | ENS-LYON | OMP-GET | UNIV-LYON1 | OMP | UNIV-TLSE3 | UDL | METEO

Citation

Roland Martin, Dimitri Komatitsch, Emilien Bruthiaux, Stephen D Gedney. Convolutional and non-convolutional PMLs for high-order schemes optimized at grazing incidence for the seismic wave equation. Proceedings of the European Association of Geoscientists and Engineers (EAGE 2010), Jun 2010, Barcelona, Spain. ⟨hal-00941875⟩

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