Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Paul Escapil-Inchauspé"'
Autor:
Paul Escapil-Inchauspé, Gonzalo A. Ruz
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-19 (2023)
Abstract We explore the data-parallel acceleration of physics-informed machine learning (PIML) schemes, with a focus on physics-informed neural networks (PINNs) for multiple graphics processing units (GPUs) architectures. In order to develop scale-ro
Externí odkaz:
https://doaj.org/article/7f1853786b704486b52a1cbe9de8dea8
Autor:
Paul Escapil‑Inchauspé, Gonzalo A. Ruz
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-2 (2024)
Externí odkaz:
https://doaj.org/article/64992e5a1fcf4e079aa80e795ab52639
Publikováno v:
Computers & Mathematics with Applications. 102:220-232
We extend the operator preconditioning framework [R. Hiptmair, Comput. Math. with Appl. 52 (2006), pp.~699--706] to Petrov-Galerkin methods while accounting for parameter-dependent perturbations of both variational forms and their preconditioners, as
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a08a81dd613d4176ad3d6e1bc27c2342
https://doi.org/10.1016/j.camwa.2021.10.012
https://doi.org/10.1016/j.camwa.2021.10.012
Publikováno v:
IEEE Transactions on Antennas and Propagation. 67:2555-2564
Despite its solid mathematical background, the standard Calderon preconditioning for the electric field integral equation scales poorly with respect to the mesh refinement due to its construction over barycentric meshes. Based on hierarchical matrice
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::49d93d467de62d53f11eae3979126e1c
https://doi.org/10.1109/tap.2019.2891608
https://doi.org/10.1109/tap.2019.2891608
Autor:
Antigoni Kleanthous, Timo Betcke, David P. Hewett, Paul Escapil-Inchauspé, Carlos Jerez-Hanckes, Anthony J. Baran
Publikováno v:
Journal of Computational Physics. 458:111099
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e4737fd9bda25b99cf5b89c67cad1645
https://doi.org/10.1016/j.jcp.2022.111099
https://doi.org/10.1016/j.jcp.2022.111099
Publikováno v:
Journal of Computational and Applied Mathematics
Journal of Computational and Applied Mathematics, 2022, 413, ⟨10.1016/j.cam.2022.114356⟩
Journal of Computational and Applied Mathematics, 2022, 413, ⟨10.1016/j.cam.2022.114356⟩
International audience; We consider the time-harmonic electromagnetic transmission problem for the unit sphere. Appealing to a vector spherical harmonics analysis, we prove the first stability result of the local multiple trace formulation (MTF) for
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2da696a26a7938dfd4e8f8c30c4b5c93
We consider the numerical solution of time-harmonic acoustic scattering by obstacles with uncertain geometries for Dirichlet, Neumann, impedance and transmission boundary conditions. In particular, we aim to quantify diffracted fields originated by s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0cad25f364e2a3275e1aa4058f584161
http://arxiv.org/abs/1908.11670
http://arxiv.org/abs/1908.11670