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Cited article:
Erik Burman, Jonathan Ish-Horowicz, Lauri Oksanen
ESAIM: M2AN, 52 5 (2018) 2065-2082
Published online: 2018-12-21
This article has been cited by the following article(s):
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Computers & Mathematics with Applications 77 (6) 1681 (2019)
DOI: 10.1016/j.camwa.2018.03.016
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Data assimilation finite element method for the linearized Navier–Stokes equations in the low Reynolds regime
Muriel Boulakia, Erik Burman, Miguel A. Fernández and Colette Voisembert
Inverse Problems 36 (8) 085003 (2020)
DOI: 10.1088/1361-6420/ab9161
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Convexification Method for an Inverse Scattering Problem and Its Performance for Experimental Backscatter Data for Buried Targets
Michael V. Klibanov, Aleksandr E. Kolesov and Dinh-Liem Nguyen
SIAM Journal on Imaging Sciences 12 (1) 576 (2019)
DOI: 10.1137/18M1191658
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Data assimilation for the heat equation using stabilized finite element methods
Erik Burman and Lauri Oksanen
Numerische Mathematik 139 (3) 505 (2018)
DOI: 10.1007/s00211-018-0949-3
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Estimates on the generalization error of physics-informed neural networks for approximating a class of inverse problems for PDEs
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IMA Journal of Numerical Analysis (2021)
DOI: 10.1093/imanum/drab032
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Erik Burman and Lauri Oksanen
15 171 (2018)
DOI: 10.1007/978-3-319-94676-4_7
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A Fully Discrete Numerical Control Method for the Wave Equation
Erik Burman, Ali Feizmohammadi and Lauri Oksanen
SIAM Journal on Control and Optimization 58 (3) 1519 (2020)
DOI: 10.1137/19M1249424
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Space time stabilized finite element methods for a unique continuation problem subject to the wave equation
Erik Burman, Ali Feizmohammadi, Arnaud Münch and Lauri Oksanen
ESAIM: Mathematical Modelling and Numerical Analysis 55 S969 (2021)
DOI: 10.1051/m2an/2020062
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