T. T. N. Nguyen
Parameter Identification in Linear and Nonlinear PDEs pdf
Preprints
B. Kaltenbach, C. Aarset, T. T. N. Nguyen
Data assimilation via model reference adaptation for linear and nonlinear dynamical systems
arXiv:2602.10920 [math.OC] , 36 pp arXiv code
Peer-reviewed publications
2026
T. T. N. Nguyen
The extended adjoint state and nonlinearity in correlation-based passive imaging
SIAM Journal on Applied Mathematics (to appear), 23 pp arXivT. T. N. Nguyen, D. Fournier, L. Gizon, T. Hohage
Linear toroidal-inertial waves on a differentially rotating sphere with application to helioseismology: Modeling, forward and inverse problems
Mathematical Methods in the Applied Sciences, 2026:1-27 doi codeE. Klass, T. T. N. Nguyen, N. Cicek, Y. G. Pollack, S. Koester, A. Janshoff, A. Wald
Determination of active forces in actomyosin systems as inverse source problems for the Stokes equation
Applied mathematics for modern challenges, 7:34-58, doi codeC. Aarset, T. T. N. Nguyen
FEM-based A-optimal sensor placement for heat source inversion from final time measurement
Proc. Domain Decomposition (to appear), 10 pp arXiv code
2025
T. T. N. Nguyen
Sequential bi-level regularized inversion with application to hidden reaction law discovery
Inverse Problems, 41(6), 2025, 34pp, Art. Id. 065015 doi codeG. Sarnighausen, T. T. N. Nguyen, T. Hohage, M. Sinha, S. Köster, T. Betz, U. S. Schwarz, A. Wald
Traction force microscopy for linear and nonlinear elastic materials as a parameter identification inverse problem
Inverse Problems, 41(6), 2025, 30pp, Art. Id 065023 doi codeC. Aarset, T. T. N. Nguyen
Bi-level regularization via iterative mesh refinement for aeroacoustics
Proc. Inverse Problems: Modeling and Simulation - Springer Nature, 2025, pp 149-155 doi arXiv code
2024
T. T. N. Nguyen
Bi-level iterative regularization for inverse problems in nonlinear PDEs
Inverse Problems, 40(4), 2024, 36pp, Art. Id. 045020 doiT. T. N. Nguyen, T. Hohage, D. Fournier, L. Gizon
Inferring solar differential rotation and viscosity via passive imaging with inertial waves
Proc. Mathematical and Numerical Aspects of Wave Propagation, 2024, pp. 215-216 doi arXiv
2023
C. Aarset, M. Holler, T. T. N. Nguyen
Learning-informed parameter identification in nonlinear time-dependent PDEs
Applied Mathematics and Optimization, 88, 2023, 53pp, Art. Id. 76 doi code
2022
T. T. N. Nguyen, A. Wald
On numerical aspects of parameter identification for the Landau-Lifshitz-Gilbert equation in Magnetic Particle Imaging
Inverse Problems and Imaging, 16(1), 2022, 29pp doiB. Kaltenbacher, T. T. N. Nguyen
Discretization of parameter identification in PDEs using neural networks
Inverse Problems, 38(12), 2022, 38pp, Art. Id. 124007 doi Special Issue Women in Inverse ProblemsH. Hoffmann, A. Wald, T. T. N. Nguyen
Parameter identification for elliptic boundary value problems: an abstract framework and applications
Inverse Problems, 38(7), 2022, 40pp, Art. Id. 075005 doi
2021 -
T. T. N. Nguyen
Landweber-Kaczmarz for parameter identification in time-dependent inverse problems: All-at-once versus Reduced version
Inverse Problems, 35(3), 2019, 29pp, Art. Id. 035009 doiB. Kaltenbacher, T. T. N. Nguyen
A model reference adaptive system approach for nonlinear online parameter identification
Inverse Problems, 37(5), 2021, 26pp, Art. Id. 055006 doiB. Kaltenbacher, T. T. N. Nguyen, O. Scherzer.
The tangential cone condition for some coefficient identification model problems in parabolic PDEs
Time-dependent Problems in Imaging and Parameter Identification, Springer, 2021, pp. 121-163, 10.1007/978-3-030-57784-1_5 arXivB. Kaltenbacher, T. T. N. Nguyen, A. Wald, T. Schuster
Parameter identification for the Landau-Lifshitz-Gilbert equation in Magnetic Particle Imaging (MPI)
Time-dependent Problems in Imaging and Parameter Identification, Springer, 2021, pp. 377-412, 10.1007/978-3-030-57784-1_13 arXiv