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pro vyhledávání: '"Nick Schenkels"'
Autor:
Emmanuel Agullo, Olivier Coulaud, Luc Giraud, Martina Iannacito, Gilles Marait, Nick Schenkels
Publikováno v:
[Research Report] RR-9483, Inria. 2022, pp.1-77
HAL
HAL
In the context where the representation of the data is decoupled from the arithmetic used to process them, we investigate the backward stability of two backward-stable implementations of the GMRES method, namely the so-calledModified Gram-Schmidt (MG
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https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::b7e2552f71472eae2d56a6e99f2ac839
https://inria.hal.science/hal-03776837
https://inria.hal.science/hal-03776837
Publikováno v:
Inverse problems
Tikhonov regularization is a popular approach to obtain a meaningful solution for ill-conditioned linear least squares problems. A relatively simple way of choosing a good regularization parameter is given by Morozov's discrepancy principle. However,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::78604241dde626856464d406431eddaa
https://hdl.handle.net/10067/1695290151162165141
https://hdl.handle.net/10067/1695290151162165141
Autor:
Wim Vanroose, Nick Schenkels
Publikováno v:
Journal of computational and applied mathematics
Many inverse problems can be described by a PDE model with unknown parameters that need to be calibrated based on measurements related-to-its solution. This can be-seen as a constrained minimization problem where one wishes to minimize the mismatch b
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a71efe5b1e778d29d28f64990a5a89df