Robust domain decomposition methods in industrial context applied to large business cases

International audience

Bibliographic Details
Main Authors: Parret-Fréaud, Augustin, Rey, Christian, Feyel, Frédéric, Bovet, Christophe, Gosselet, Pierre, Marchand, Basile, Spillane, Nicole
Other Authors: SAFRAN Group, ONERA - The French Aerospace Lab Châtillon, ONERA-Université Paris Saclay (COmUE), Laboratoire de Mécanique et Technologie (LMT), École normale supérieure - Cachan (ENS Cachan)-Centre National de la Recherche Scientifique (CNRS), Centre de Mathématiques Appliquées - Ecole Polytechnique (CMAP), École polytechnique (X)-Centre National de la Recherche Scientifique (CNRS)
Format: Conference Object
Language:English
Published: HAL CCSD 2017
Subjects:
[PHYS.MECA.STRU]Physics [physics]/Mechanics [physics]/Structural mechanics [physics.class-ph]
Longyearbyen
Online Access:https://hal.science/hal-01908183
id ftonera:oai:HAL:hal-01908183v1
record_format openpolar
spelling ftonera:oai:HAL:hal-01908183v1 2024-05-19T07:43:44+00:00 Robust domain decomposition methods in industrial context applied to large business cases Parret-Fréaud, Augustin Rey, Christian Feyel, Frédéric Bovet, Christophe Gosselet, Pierre Marchand, Basile Spillane, Nicole SAFRAN Group ONERA - The French Aerospace Lab Châtillon ONERA-Université Paris Saclay (COmUE) Laboratoire de Mécanique et Technologie (LMT) École normale supérieure - Cachan (ENS Cachan)-Centre National de la Recherche Scientifique (CNRS) Centre de Mathématiques Appliquées - Ecole Polytechnique (CMAP) École polytechnique (X)-Centre National de la Recherche Scientifique (CNRS) Longyearbyen, Norway 2017-02-06 https://hal.science/hal-01908183 en eng HAL CCSD hal-01908183 https://hal.science/hal-01908183 24th International Conference on Domain Decomposition Methods https://hal.science/hal-01908183 24th International Conference on Domain Decomposition Methods, Feb 2017, Longyearbyen, Norway [PHYS.MECA.STRU]Physics [physics]/Mechanics [physics]/Structural mechanics [physics.class-ph] info:eu-repo/semantics/conferenceObject Conference papers 2017 ftonera 2024-05-02T00:05:48Z International audience Conference Object Longyearbyen ONERA: HAL (French Aerospace Lab)
institution Open Polar
collection ONERA: HAL (French Aerospace Lab)
op_collection_id ftonera
language English
topic [PHYS.MECA.STRU]Physics [physics]/Mechanics [physics]/Structural mechanics [physics.class-ph]
spellingShingle [PHYS.MECA.STRU]Physics [physics]/Mechanics [physics]/Structural mechanics [physics.class-ph]
Parret-Fréaud, Augustin
Rey, Christian
Feyel, Frédéric
Bovet, Christophe
Gosselet, Pierre
Marchand, Basile
Spillane, Nicole
Robust domain decomposition methods in industrial context applied to large business cases
topic_facet [PHYS.MECA.STRU]Physics [physics]/Mechanics [physics]/Structural mechanics [physics.class-ph]
description International audience
author2 SAFRAN Group
ONERA - The French Aerospace Lab Châtillon
ONERA-Université Paris Saclay (COmUE)
Laboratoire de Mécanique et Technologie (LMT)
École normale supérieure - Cachan (ENS Cachan)-Centre National de la Recherche Scientifique (CNRS)
Centre de Mathématiques Appliquées - Ecole Polytechnique (CMAP)
École polytechnique (X)-Centre National de la Recherche Scientifique (CNRS)
format Conference Object
author Parret-Fréaud, Augustin
Rey, Christian
Feyel, Frédéric
Bovet, Christophe
Gosselet, Pierre
Marchand, Basile
Spillane, Nicole
author_facet Parret-Fréaud, Augustin
Rey, Christian
Feyel, Frédéric
Bovet, Christophe
Gosselet, Pierre
Marchand, Basile
Spillane, Nicole
author_sort Parret-Fréaud, Augustin
title Robust domain decomposition methods in industrial context applied to large business cases
title_short Robust domain decomposition methods in industrial context applied to large business cases
title_full Robust domain decomposition methods in industrial context applied to large business cases
title_fullStr Robust domain decomposition methods in industrial context applied to large business cases
title_full_unstemmed Robust domain decomposition methods in industrial context applied to large business cases
title_sort robust domain decomposition methods in industrial context applied to large business cases
publisher HAL CCSD
publishDate 2017
url https://hal.science/hal-01908183
op_coverage Longyearbyen, Norway
genre Longyearbyen
genre_facet Longyearbyen
op_source 24th International Conference on Domain Decomposition Methods
https://hal.science/hal-01908183
24th International Conference on Domain Decomposition Methods, Feb 2017, Longyearbyen, Norway
op_relation hal-01908183
https://hal.science/hal-01908183
_version_ 1799483487534710784

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