Research | TU Wien

We also continuously update our list of current preprints of institute members which include the links to arXiv.

Cooperations

The internationally recognised expertise of the faculty members is reflected in the participation of the institute in the Collaborative Research Center "Taming Complexity in PDE systems, opens an external URL in a new window" (grant SFB F65 of the FWF; deputy head: Prof. Anton ARNOLD, opens an external URL in a new window) with a total of six project parts.

Furthermore, the institute is actively involved in the excellence initiatives

"Vienna School of Mathematics" (VSM), carried out jointly by the TU Wien and the University of Vienna, and
"Vienna Center for Partial Differential Equations" (Vienna PDE) (speaker: Prof. Ansgar JÜNGEL from the Institute of Analysis and Scientific Computing).

Publications (peer-reviewed)

Arnold, A., Klein, C., Körner, J., & Melenk, J. M. (2025). Optimally truncated WKB approximation for the 1D stationary Schrödinger equation in the highly oscillatory regime. Journal of Computational and Applied Mathematics, Article 116240. https://doi.org/10.1016/j.cam.2024.116240
| Optimally truncated WKB approximation for the 1D stationary Schrödinger equation in the highly oscillatory regime at reposiTUm , opens an external URL in a new window
Brunner, M., Praetorius, D., & Streitberger, J. (2025). Cost-optimal adaptive FEM with linearization and algebraic solver for semilinear elliptic PDEs. Numerische Mathematik, 157, 409–445. https://doi.org/10.1007/s00211-025-01455-w
| Cost-optimal adaptive FEM with linearization and algebraic solver for semilinear elliptic PDEs at reposiTUm , opens an external URL in a new window
Bringmann, P., Feischl, M., Miraci, A., Praetorius, D., & Streitberger, J. (2025). On full linear convergence and optimal complexity of adaptive FEM with inexact solver. COMPUTERS & MATHEMATICS WITH APPLICATIONS, 180, 102–129. https://doi.org/10.1016/j.camwa.2024.12.013
| On full linear convergence and optimal complexity of adaptive FEM with inexact solver at reposiTUm , opens an external URL in a new window
Davoli, E., Gavioli, C., & Pagliari, V. (2025). Homogenization of high-contrast media in finite-strain elastoplasticity. NONLINEAR ANALYSIS-REAL WORLD APPLICATIONS, 81, Article 104198. https://doi.org/10.1016/j.nonrwa.2024.104198
| Homogenization of high-contrast media in finite-strain elastoplasticity at reposiTUm , opens an external URL in a new window
Mielke, A., Rossi, R., & Stephan, A. (2025). On time-splitting methods for gradient flows with two dissipation mechanisms. Calculus of Variations and Partial Differential Equations, 64(2), Article 63. https://doi.org/10.1007/s00526-024-02849-8
| On time-splitting methods for gradient flows with two dissipation mechanisms at reposiTUm , opens an external URL in a new window
Almi, S., Kružík, M., & Molchanova, A. (2025). Linearization in magnetoelasticity. Advances in Calculus of Variations, 18(2), 577–591. https://doi.org/10.1515/acv-2024-0019
| Linearization in magnetoelasticity at reposiTUm , opens an external URL in a new window
Bernkopf, M., Chaumont-Frelet, T., & Melenk, J. M. (2025). Wavenumber-explicit stability and convergence analysis of ℎ𝑝 finite element discretizations of Helmholtz problems in piecewise smooth media. Mathematics of Computation, 94(351), 73–122. https://doi.org/10.1090/mcom/3958
| Wavenumber-explicit stability and convergence analysis of ℎ𝑝 finite element discretizations of Helmholtz problems in piecewise smooth media at reposiTUm , opens an external URL in a new window
Bužančić, M., Davoli, E., & Velčić, I. (2025). Effective quasistatic evolution models for perfectly plastic plates with periodic microstructure: The limiting regimes. Advances in Calculus of Variations, 17(4), 1399–1444. https://doi.org/10.1515/acv-2023-0020
| Effective quasistatic evolution models for perfectly plastic plates with periodic microstructure: The limiting regimes at reposiTUm , opens an external URL in a new window
Edthofer, A., & Korner, A. (2025). Identifying EEG-based Functional Networks for Whole-Brain Models. IFAC-PapersOnLine, 59(1), 301–306. https://doi.org/10.1016/j.ifacol.2025.03.052
| Identifying EEG-based Functional Networks for Whole-Brain Models at reposiTUm , opens an external URL in a new window
Horvath, C., Kohlmayer, M.-S., & Körner, A. (2025). Mathematical Model Analysis of the Hypothalamus-Pituitary-Thyroid Axis. IFAC-PapersOnLine, 59(1), 241–246. https://doi.org/10.1016/j.ifacol.2025.03.042
| Mathematical Model Analysis of the Hypothalamus-Pituitary-Thyroid Axis at reposiTUm , opens an external URL in a new window
Horvath, C., Kohlmayer, M.-S., & Körner, A. (2025). Sensitivity Analysis of a Mathematical Model Representing the Female Endocrine Cycle. IFAC-PapersOnLine, 59(1), 253–258. https://doi.org/10.1016/j.ifacol.2025.03.044
| Sensitivity Analysis of a Mathematical Model Representing the Female Endocrine Cycle at reposiTUm , opens an external URL in a new window
Jüngel, A., & Li, Y. (2025). Existence of global weak solutions to a Cahn–Hilliard cross-diffusion system in lymphangiogenesis. DISCRETE AND CONTINUOUS DYNAMICAL SYSTEMS, 45(1), 286–308. https://doi.org/10.3934/dcds.2024093
| Existence of global weak solutions to a Cahn–Hilliard cross-diffusion system in lymphangiogenesis at reposiTUm , opens an external URL in a new window
Karkulik, M., Melenk, J. M., & Rieder, A. (2025). On interpolation spaces of piecewise polynomials on mixed meshes. ESAIM: Mathematical Modelling and Numerical Analysis, 59(1), 231–264. https://doi.org/10.1051/m2an/2024069
| On interpolation spaces of piecewise polynomials on mixed meshes at reposiTUm , opens an external URL in a new window
Körner, A., Kugi, A., Kemmetmüller, W., Deutschmann-Olek, A., Steinböck, A., Hartl-Nesic, C., & Jadachowski, L. P. (Eds.). (2025). MATHMOD Short Contribution Volume 2025 : 11th Vienna International Conference on Mathematical Modelling. https://doi.org/10.34726/8999
| MATHMOD Short Contribution Volume 2025 : 11th Vienna International Conference on Mathematical Modelling at reposiTUm , opens an external URL in a new window
Körner, A., Pasterk, D., Stadler, F., & Zeh, C. (2025). Insight-driven Optimization to Improve Dynamic Scheduling for Flexible Job-shops. IFAC-PapersOnLine, 59(1), 451–456. https://doi.org/10.1016/j.ifacol.2025.03.077
| Insight-driven Optimization to Improve Dynamic Scheduling for Flexible Job-shops at reposiTUm , opens an external URL in a new window
Modiz, C., & Körner, A. (2025). Model-based conceptualization of thyroid hormone equilibrium via set point and stability behavior. Journal of Mathematical Biology, 90(1), Article 9. https://doi.org/10.1007/s00285-024-02176-8
| Model-based conceptualization of thyroid hormone equilibrium via set point and stability behavior at reposiTUm , opens an external URL in a new window

Jüngel, A., & Vetter, M. (2024). Degenerate Drift-Diffusion Systems for Memristors. SIAM Journal on Mathematical Analysis, 56(6), 7780–7807. https://doi.org/10.1137/23M1620235
| Degenerate Drift-Diffusion Systems for Memristors at reposiTUm , opens an external URL in a new window
Edthofer, A., Ettel, D., Schneider, G., Körner, A., & Kreuzer, M. (2024). Entropy of difference works similarly to permutation entropy for the assessment of anesthesia and sleep EEG despite the lower computational effort. Journal of Clinical Monitoring and Computing. https://doi.org/10.1007/s10877-024-01258-8
| Entropy of difference works similarly to permutation entropy for the assessment of anesthesia and sleep EEG despite the lower computational effort at reposiTUm , opens an external URL in a new window
Cancès, C., Cauvin-Vila, J., Chainais-Hillairet, C., & Ehrlacher, V. (2024). Cross-diffusion systems coupled via a moving interface. Interfaces and Free Boundaries. https://doi.org/10.4171/ifb/536
| Cross-diffusion systems coupled via a moving interface at reposiTUm , opens an external URL in a new window
Bahr, B., Faustmann, M., & Melenk, J. M. (2024). An implementation of hp-FEM for the fractional Laplacian. COMPUTERS & MATHEMATICS WITH APPLICATIONS, 176, 324–348. https://doi.org/10.1016/j.camwa.2024.10.005
| An implementation of hp-FEM for the fractional Laplacian at reposiTUm , opens an external URL in a new window
Nannen, L., & Wess, M. (2024). A Krylov eigenvalue solver based on filtered time domain solutions. COMPUTERS & MATHEMATICS WITH APPLICATIONS, 176, 179–188. https://doi.org/10.1016/j.camwa.2024.10.006
| A Krylov eigenvalue solver based on filtered time domain solutions at reposiTUm , opens an external URL in a new window
Davoli, E., Di Fratta, G., & Giorgio, R. (2024). A Bourgain–Brezis–Mironescu Formula Accounting for Nonlocal Antisymmetric Exchange Interactions. SIAM Journal on Mathematical Analysis, 56(6), 6995–7013. https://doi.org/10.1137/24M1632577
| A Bourgain–Brezis–Mironescu Formula Accounting for Nonlocal Antisymmetric Exchange Interactions at reposiTUm , opens an external URL in a new window
Davoli, E., Ferreira, R., Fonseca, I., & Iglesias, J. A. (2024). Dyadic partition-based training schemes for TV/TGV denoising. Journal of Mathematical Imaging and Vision, 66(6), 1070–1108. https://doi.org/10.1007/s10851-024-01213-x
| Dyadic partition-based training schemes for TV/TGV denoising at reposiTUm , opens an external URL in a new window
Hollaus, K., Hanser, V., & Schöbinger, M. (2024). Effective Material and Static Magnetic Field for the 2-D/1-D-Problem of Laminated Electrical Machines. IEEE Transactions on Magnetics, 60(12), 1–4. https://doi.org/10.1109/TMAG.2024.3466289
| Effective Material and Static Magnetic Field for the 2-D/1-D-Problem of Laminated Electrical Machines at reposiTUm , opens an external URL in a new window
Hu, J., Jüngel, A., & Zamponi, N. (2024). Global weak solutions for a nonlocal multispecies Fokker–Planck–Landau system. Kinetic and Related Models. https://doi.org/10.3934/krm.2024007
| Global weak solutions for a nonlocal multispecies Fokker–Planck–Landau system at reposiTUm , opens an external URL in a new window
Melenk, J. M., & Sauter, S. A. (2024). Wavenumber-Explicit hp-FEM Analysis for Maxwell’s Equations with Impedance Boundary Conditions. Foundations of Computational Mathematics, 24(6), 1871–1939. https://doi.org/10.1007/s10208-023-09626-7
| Wavenumber-Explicit hp-FEM Analysis for Maxwell's Equations with Impedance Boundary Conditions at reposiTUm , opens an external URL in a new window
Bernkopf, M., & Melenk, J. M. (2024). Optimal convergence rates in L² for a first order system least squares finite element method - part II: Inhomogeneous Robin boundary conditions. COMPUTERS & MATHEMATICS WITH APPLICATIONS, 173, 1–18. https://doi.org/10.1016/j.camwa.2024.07.035
| Optimal convergence rates in L² for a first order system least squares finite element method - part II: Inhomogeneous Robin boundary conditions at reposiTUm , opens an external URL in a new window
Davoli, E., Gavioli, C., & Lombardini, L. (2024). Existence results for Cahn–Hilliard-type systems driven by nonlocal integrodifferential operators with singular kernels. Nonlinear Analysis, 248, Article 113623. https://doi.org/10.1016/j.na.2024.113623
| Existence results for Cahn–Hilliard-type systems driven by nonlocal integrodifferential operators with singular kernels at reposiTUm , opens an external URL in a new window
De Gennaro, D., Diana, A., Kubin, A., & Kubin, A. (2024). Stability of the surface diffusion flow and volume-preserving mean curvature flow in the flat torus. Mathematische Annalen, 390(3), 4429–4461. https://doi.org/10.1007/s00208-024-02863-3
| Stability of the surface diffusion flow and volume-preserving mean curvature flow in the flat torus at reposiTUm , opens an external URL in a new window
Georgiadis, S., & Jüngel, A. (2024). Global existence of weak solutions and weak–strong uniqueness for nonisothermal Maxwell–Stefan systems. Nonlinearity, 37(7), Article 075016. https://doi.org/10.1088/1361-6544/ad4c49
| Global existence of weak solutions and weak–strong uniqueness for nonisothermal Maxwell–Stefan systems at reposiTUm , opens an external URL in a new window
Gopalakrishnan, J., Neunteufel, M., Schöberl, J., & Wardetzky, M. (2024). On the improved convergence of lifted distributional Gauss curvature from Regge elements. Results in Applied Mathematics, 24, Article 100511. https://doi.org/10.1016/j.rinam.2024.100511
| On the improved convergence of lifted distributional Gauss curvature from Regge elements at reposiTUm , opens an external URL in a new window
Hohenegger, M., Settanni, G., Weinmüller, E., & Wolde, M. (2024). Numerical treatment of singular ODEs using finite difference and collocation methods. Applied Numerical Mathematics, 205, 184–194. https://doi.org/10.1016/j.apnum.2024.07.002
| Numerical treatment of singular ODEs using finite difference and collocation methods at reposiTUm , opens an external URL in a new window
Bringmann, P. (2024). Review and computational comparison of adaptive least-squares finite element schemes. COMPUTERS & MATHEMATICS WITH APPLICATIONS, 172, 1–15. https://doi.org/10.1016/j.camwa.2024.07.022
| Review and computational comparison of adaptive least-squares finite element schemes at reposiTUm , opens an external URL in a new window
Kristiansen, K. U., & Szmolyan, P. (2024). A dynamical systems approach to WKB-methods: The simple turning point. Journal of Differential Equations, 406, 202–254. https://doi.org/10.1016/j.jde.2024.06.006
| A dynamical systems approach to WKB-methods: The simple turning point at reposiTUm , opens an external URL in a new window
Davoli, E., Nik, K., Stefanelli, U., & Tomassetti, G. (2024). An existence result for accretive growth in elastic solids. MATHEMATICAL MODELS & METHODS IN APPLIED SCIENCES, 34(11), 2169–2190. https://doi.org/10.1142/S0218202524500465
| An existence result for accretive growth in elastic solids at reposiTUm , opens an external URL in a new window
D’Elia, L., Eleuteri, M., & Zappale, E. (2024). Homogenization of supremal functionals in the vectorial case (via Lp-approximation). Analysis and Applications, 22(07), 1255–1302. https://doi.org/10.1142/S0219530524500179
| Homogenization of supremal functionals in the vectorial case (via Lp-approximation) at reposiTUm , opens an external URL in a new window
Hanser, V., Schöbinger, M., & Hollaus, K. (2024). Effective material modeling for laminated iron cores with a T, ϕ - ϕ formulation. IEEE Transactions on Magnetics, 60(10), Article 7402307. https://doi.org/10.1109/TMAG.2024.3447126
| Effective material modeling for laminated iron cores with a T, ϕ - ϕ formulation at reposiTUm , opens an external URL in a new window
Wess, M., Kapidani, B., Codecasa, L., & Schöberl, J. (2024). Mass lumping the dual cell method to arbitrary polynomial degree for acoustic and electromagnetic waves. Journal of Computational Physics, 513, Article 113196. https://doi.org/10.1016/j.jcp.2024.113196
| Mass lumping the dual cell method to arbitrary polynomial degree for acoustic and electromagnetic waves at reposiTUm , opens an external URL in a new window
Dareiotis, K., & Gerencsér, M. (2024). Path-by-path regularisation through multiplicative noise in rough, Young, and ordinary differential equations. Annals of Probability, 52(5), 1864–1902. https://doi.org/10.34726/8356
| Path-by-path regularisation through multiplicative noise in rough, Young, and ordinary differential equations at reposiTUm , opens an external URL in a new window
Davoli, E., Di Fratta, G., Fiorenza, A., & Happ, L. (2024). A modular Poincaré–Wirtinger inequality for Sobolev spaces with variable exponents. NODEA-NONLINEAR DIFFERENTIAL EQUATIONS AND APPLICATIONS, 31(5), Article 81. https://doi.org/10.1007/s00030-024-00977-w
| A modular Poincaré–Wirtinger inequality for Sobolev spaces with variable exponents at reposiTUm , opens an external URL in a new window
Jelbart, S. (2024). Rate and Bifurcation Induced Transitions in Asymptotically Slow-Fast Systems. SIAM Journal on Applied Dynamical Systems, 23(3), 1836–1869. https://doi.org/10.1137/24M1632000
| Rate and Bifurcation Induced Transitions in Asymptotically Slow-Fast Systems at reposiTUm , opens an external URL in a new window
Jüngel, A., & Wang, B. (2024). Structure-preserving semi-convex-splitting numerical scheme for a Cahn-Hilliard cross-diffusion system in lymphangiogenesis. MATHEMATICAL MODELS & METHODS IN APPLIED SCIENCES, 34(10), 1905–1932. https://doi.org/10.1142/S0218202524500398
| Structure-preserving semi-convex-splitting numerical scheme for a Cahn-Hilliard cross-diffusion system in lymphangiogenesis at reposiTUm , opens an external URL in a new window
Arnold, A., & Körner, J. (2024). High-order WKB-based method for the 1D stationary Schrödinger equation in the semi-classical limit. In AIP Conference Proceedings (pp. 220002-1-220002–220004). AIP Publishing. https://doi.org/10.1063/5.0213306
| High-order WKB-based method for the 1D stationary Schrödinger equation in the semi-classical limit at reposiTUm , opens an external URL in a new window
Jüngel, A., & Massimini, A. (2024). Analysis of a Poisson–Nernst–Planck–Fermi system for charge transport in ion channels. Journal of Differential Equations, 395, 38–68. https://doi.org/10.1016/j.jde.2024.02.046
| Analysis of a Poisson–Nernst–Planck–Fermi system for charge transport in ion channels at reposiTUm , opens an external URL in a new window
Bužančić, M., Davoli, E., & Velčić, I. (2024). Effective quasistatic evolution models for perfectly plastic plates with periodic microstructure. Calculus of Variations and Partial Differential Equations, 63(4), Article 93. https://doi.org/10.1007/s00526-024-02693-w
| Effective quasistatic evolution models for perfectly plastic plates with periodic microstructure at reposiTUm , opens an external URL in a new window
Demkowicz, L., Melenk, J. M., Badger, J., & Henneking, S. (2024). Stability analysis for electromagnetic waveguides. Part 2: non-homogeneous waveguides. Advances in Computational Mathematics, 50(3), Article 35. https://doi.org/10.1007/s10444-024-10130-x
| Stability analysis for electromagnetic waveguides. Part 2: non-homogeneous waveguides at reposiTUm , opens an external URL in a new window
Arnold, A., Geevers, S., Perugia, I., & Ponomarev, D. (2024). On the limiting amplitude principle for the wave equation with variable coefficients. Communications in Partial Differential Equations. https://doi.org/10.1080/03605302.2024.2341070
| On the limiting amplitude principle for the wave equation with variable coefficients at reposiTUm , opens an external URL in a new window
Davoli, E., Di Fratta, G., & Pagliari, V. (2024). Sharp conditions for the validity of the Bourgain–Brezis–Mironescu formula. PROCEEDINGS OF THE ROYAL SOCIETY OF EDINBURGH SECTION A-MATHEMATICS. https://doi.org/10.1017/prm.2024.47
| Sharp conditions for the validity of the Bourgain–Brezis–Mironescu formula at reposiTUm , opens an external URL in a new window
Davoli, E., D’Elia, L., & Ingmanns, J. (2024). Stochastic Homogenization of Micromagnetic Energies and Emergence of Magnetic Skyrmions. Journal of Nonlinear Science, 34(2), Article 30. https://doi.org/10.1007/s00332-023-10005-3
| Stochastic Homogenization of Micromagnetic Energies and Emergence of Magnetic Skyrmions at reposiTUm , opens an external URL in a new window
Fellner, M., & Jüngel, A. (2024). Existence analysis of a cross-diffusion system with nonlinear Robin boundary conditions for vesicle transport in neurites. Nonlinear Analysis, 241, Article 113494. https://doi.org/10.1016/j.na.2024.113494
| Existence analysis of a cross-diffusion system with nonlinear Robin boundary conditions for vesicle transport in neurites at reposiTUm , opens an external URL in a new window
Gambi, J. M., Phipps, C., Garcia del Pino, M. L., Mosser, J., Weinmüller, E., & Alderete, M. (2024). Deflection of dangerous middle-size LEO debris with autonomous space-based laser brooms via surgical actions. Acta Astronautica, 217, 75–88. https://doi.org/10.1016/j.actaastro.2024.01.021
| Deflection of dangerous middle-size LEO debris with autonomous space-based laser brooms via surgical actions at reposiTUm , opens an external URL in a new window
Ricco, S., & Torricelli, A. (2024). A necessary condition for extremality of solutions to autonomous obstacle problems with general growth. Nonlinear Analysis: Real World Applications, 76, Article 104005. https://doi.org/10.1016/j.nonrwa.2023.104005
| A necessary condition for extremality of solutions to autonomous obstacle problems with general growth at reposiTUm , opens an external URL in a new window
Kubin, A., Lussardi, L., & Morandotti, M. (2024). Direct Minimization of the Canham–Helfrich Energy on Generalized Gauss Graphs. Journal of Geometric Analysis, 34, Article 121. https://doi.org/10.1007/s12220-024-01564-2
| Direct Minimization of the Canham–Helfrich Energy on Generalized Gauss Graphs at reposiTUm , opens an external URL in a new window
Bringmann, P., Ketteler, J., & Schedensack, M. (2024). Discrete Helmholtz Decompositions of Piecewise Constant and Piecewise Affine Vector and Tensor Fields. Foundations of Computational Mathematics. https://doi.org/10.1007/s10208-024-09642-1
| Discrete Helmholtz Decompositions of Piecewise Constant and Piecewise Affine Vector and Tensor Fields at reposiTUm , opens an external URL in a new window
Chen, X., Jüngel, A., Lin, X., & Liu, L. (2024). Large-time asymptotics for degenerate cross-diffusion population models with volume filling. Journal of Differential Equations, 386, 1–15. https://doi.org/10.1016/j.jde.2023.12.017
| Large-time asymptotics for degenerate cross-diffusion population models with volume filling at reposiTUm , opens an external URL in a new window
Fellner, M., & Jüngel, A. (2024). A coupled stochastic differential reaction–diffusion system for angiogenesis. Journal of Computational and Applied Mathematics, 438, Article 115570. https://doi.org/10.1016/j.cam.2023.115570
| A coupled stochastic differential reaction–diffusion system for angiogenesis at reposiTUm , opens an external URL in a new window
Gerencsér, M., & Singh, H. (2024). Strong convergence of parabolic rate 1 of discretisations of stochastic Allen-Cahn-type equations. Transactions of the American Mathematical Society, 377(3), 1851–1881. https://doi.org/10.1090/tran/9029
| Strong convergence of parabolic rate 1 of discretisations of stochastic Allen-Cahn-type equations at reposiTUm , opens an external URL in a new window
Ma, C., & Melenk, J. M. (2024). Exponential Convergence of a Generalized FEM for Heterogeneous Reaction-Diffusion Equations. MULTISCALE MODELING & SIMULATION, 22(1), 256–282. https://doi.org/10.1137/22M1522231
| Exponential Convergence of a Generalized FEM for Heterogeneous Reaction-Diffusion Equations at reposiTUm , opens an external URL in a new window
O’Donovan, M., Farrell, P., Moatti, J., Streckenbach, T., Koprucki, T., & Schulz, S. (2024). Impact of random alloy fluctuations on the carrier distribution in multicolor (In,Ga)N/GaN quantum well systems. Physical Review Applied, 21(2), Article 024052. https://doi.org/10.1103/PhysRevApplied.21.024052
| Impact of random alloy fluctuations on the carrier distribution in multicolor (In,Ga)N/GaN quantum well systems at reposiTUm , opens an external URL in a new window
Thibault-Greugny, E., Fages, F., Radulescu, O., Szmolyan, P., & Stamatas, G. N. (2024). A skin microbiome model with AMP interactions and analysis of quasi-stability vs stability in population dynamics. Theoretical Computer Science, 983, Article 114294. https://doi.org/10.1016/j.tcs.2023.114294
| A skin microbiome model with AMP interactions and analysis of quasi-stability vs stability in population dynamics at reposiTUm , opens an external URL in a new window
Achleitner, F., Arnold, A., Mehrmann, V., & Nigsch, E. (2024). Hypocoercivity in Hilbert spaces. Journal of Functional Analysis, 228(2), Article 110691. https://doi.org/10.1016/j.jfa.2024.110691
| Hypocoercivity in Hilbert spaces at reposiTUm , opens an external URL in a new window
Arnold, A., & Toshpulatov, G. (2024). Exponential stability and hypoelliptic regularization for the kinetic Fokker-Planck equation with confining potential. Journal of Statistical Physics, 191, Article 51. https://doi.org/10.1007/s10955-024-03263-2
| Exponential stability and hypoelliptic regularization for the kinetic Fokker-Planck equation with confining potential at reposiTUm , opens an external URL in a new window
Bringmann, P., Brunner, M., Praetorius, D., & Streitberger, J. (2024). Optimal complexity of goal-oriented adaptive FEM for nonsymmetric linear elliptic PDEs. Journal of Numerical Mathematics. https://doi.org/10.1515/jnma-2023-0150
| Optimal complexity of goal-oriented adaptive FEM for nonsymmetric linear elliptic PDEs at reposiTUm , opens an external URL in a new window
Bringmann, P., Carstensen, C., & Streitberger, J. (2024). Local parameter selection in the C⁰ interior penalty method for the biharmonic equation. Journal of Numerical Mathematics, 32(3), 257–273. https://doi.org/10.1515/jnma-2023-0028
| Local parameter selection in the C⁰ interior penalty method for the biharmonic equation at reposiTUm , opens an external URL in a new window
Bringmann, P., Miraçi, A., & Praetorius, D. (2024). Chapter Four - Iterative solvers in adaptive FEM: Adaptivity yields quasi-optimal computational runtime. ADVANCES IN APPLIED MECHANICS, 59, 147–212. https://doi.org/10.1016/bs.aams.2024.08.002
| Chapter Four - Iterative solvers in adaptive FEM: Adaptivity yields quasi-optimal computational runtime at reposiTUm , opens an external URL in a new window
Brugnano, L., Iavernaro, F., & Weinmüller, E. (2024). Weighted least squares collocation methods. Applied Numerical Mathematics, 203, 113–128. https://doi.org/10.1016/j.apnum.2024.05.017
| Weighted least squares collocation methods at reposiTUm , opens an external URL in a new window
Davoli, E., Gavioli, C., & Pagliari, V. (2024). A homogenization result in finite plasticity. Calculus of Variations and Partial Differential Equations, 63(3), Article 72. https://doi.org/10.1007/s00526-024-02673-0
| A homogenization result in finite plasticity at reposiTUm , opens an external URL in a new window
Davoli, E., Kružík, M., & Pagliari, V. (2024). Homogenization of high-contrast composites under differential constraints. Advances in Calculus of Variations, 17(2), 277–318. https://doi.org/10.1515/acv-2022-0009
| Homogenization of high-contrast composites under differential constraints at reposiTUm , opens an external URL in a new window
Djurdjevac, A., Kremp, H., & Perkowski, N. (2024). Weak error analysis for a nonlinear SPDE approximation of the Dean–Kawasaki equation. STOCHASTICS AND PARTIAL DIFFERENTIAL EQUATIONS-ANALYSIS AND COMPUTATIONS. https://doi.org/10.1007/s40072-024-00324-1
| Weak error analysis for a nonlinear SPDE approximation of the Dean–Kawasaki equation at reposiTUm , opens an external URL in a new window
Doppler, S., Lederer, P. L., Schöberl, J., & von Wahl, H. (2024). A discontinuous Galerkin approach for atmospheric flows with implicit condensation. Journal of Computational Physics, 499, Article 112713. https://doi.org/10.1016/j.jcp.2023.112713
| A discontinuous Galerkin approach for atmospheric flows with implicit condensation at reposiTUm , opens an external URL in a new window
Eckhardt, J., & Kostenko, O. (2024). Trace formulas and inverse spectral theory for generalized indefinite strings. Inventiones Mathematicae. https://doi.org/10.1007/s00222-024-01287-9
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Faustmann, M., & Rieder, A. (2024). FEM-BEM coupling in fractional diffusion. IMA Journal of Numerical Analysis, Article drae026. https://doi.org/10.1093/imanum/drae026
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Feischl, M., & Hackl, H. (2024). Adaptive image compression via optimal mesh refinement. Computational Methods in Applied Mathematics, 24(2), 325–343. https://doi.org/10.1515/cmam-2023-0097
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Fellner, A., Wenger, C., Heshmat, A., & Rattay, F. (2024). Auditory nerve fiber excitability for alternative electrode placement in the obstructed human cochlea: electrode insertion in scala vestibuli versus scala tympani. Journal of Neural Engineering, 21(4), Article 046034. https://doi.org/10.1088/1741-2552/ad6597
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Gawlik, E., & Neunteufel, M. (2024). Finite element approximation of scalar curvature in arbitrary dimension. Mathematics of Computation. https://doi.org/10.1090/mcom/4038
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Hanser, V., Schöbinger, M., & Hollaus, K. (2024). A T, Φ−Φ Multiscale Finite Element Formulation for Eddy Current Problems in Open Magnetic Circuits. In Proceedings 2024 IEEE 21st Biennial Conference on Electromagnetic Field Computation (CEFC). IEEE 21st Biennial Conference on Electromagnetic Field Computation (CEFC 2024), Jeju, Korea (the Republic of). https://doi.org/10.1109/CEFC61729.2024.10585740
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Hanser, V., Schöbinger, M., & Hollaus, K. (2024). A T,Φ-Φ Multiscale Finite Element Formulation for Eddy Current Problems in Open Magnetic Circuits. In 2024 IEEE 21st Biennial Conference on Electromagnetic Field Computation- Extended Papers (CEFC-Extended) (pp. 1–4). IEEE. https://doi.org/10.1109/CEFC65091.2024.10849241
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Hollaus, K., Hanser, V., & Schöbinger, M. (2024). Effective Material and Static Magnetic Field for the 2D/1D-Problem of Laminated Electrical Machines. In Proceedings 2024 IEEE 21st Biennial Conference on Electromagnetic Field Computation (CEFC). IEEE 21st Biennial Conference on Electromagnetic Field Computation (CEFC 2024), Jeju, Korea (the Republic of). https://doi.org/10.1109/CEFC61729.2024.10586159
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Hollaus, K., Schöbinger, M., & Türk, C. (2024). Modeling of a Winding by Segmentation and a Two Domain Method. In Proceedings 2024 IEEE 21st Biennial Conference on Electromagnetic Field Computation (CEFC). IEEE 21st Biennial Conference on Electromagnetic Field Computation (CEFC 2024), Jeju, Korea (the Republic of). https://doi.org/10.1109/CEFC61729.2024.10585917
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Horvath, C., Körner, A., & Modiz, C. (2024). Data-Based Model Identification of the Hypothalamus-Pituitary-Thyroid Complex. In M. Mujica Mota & P. Scala (Eds.), Simulation for a Sustainable Future. EUROSIM 2023. Communications in Computer and Information Science (pp. 119–133). https://doi.org/10.1007/978-3-031-68435-7_9
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Huo, X., & Jüngel, A. (2024). Global Existence and Weak-Strong Uniqueness for Chemotaxis Compressible Navier-Stokes Equations Modeling Vascular Network Formation. Journal of Mathematical Fluid Mechanics, 26(1), Article 11. https://doi.org/10.1007/s00021-023-00840-5
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Innerberger, M., Miraçi, A., Praetorius, D., & Streitberger, J. (2024). hp-robust multigrid solver on locally refined meshes for FEM discretizations of symmetric elliptic PDEs. ESAIM: Mathematical Modelling and Numerical Analysis, 58(1), 247–272. https://doi.org/10.1051/m2an/2023104
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Jüngel, A., Portisch, S., & Zurek, A. (2024). A convergent finite-volume scheme for nonlocal cross-diffusion systems for multi-species populations. ESAIM: Mathematical Modelling and Numerical Analysis, 58(2), 759–792. https://doi.org/10.1051/m2an/2024016
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Langer, M., & Woracek, H. (2024). Karamata’s theorem for regularized Cauchy transforms. PROCEEDINGS OF THE ROYAL SOCIETY OF EDINBURGH SECTION A-MATHEMATICS, 1–61. https://doi.org/10.1017/prm.2023.128
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Lemaire, S., & Moatti, J. (2024). Structure preservation in high-order hybrid discretisations of potential-driven advection-diffusion: linear and nonlinear approaches. Mathematics in Engineering, 6(1), 100–136. https://doi.org/10.3934/mine.2024005
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Melenk, J. M., & Rojik, C. (2024). A note on the shift theorem for the Laplacian in polygonal domains. Applications of Mathematics, 69(5), 653–693. https://doi.org/10.21136/AM.2024.0049-24
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Neunteufel, M., & Schöberl, J. (2024). The Hellan–Herrmann–Johnson and TDNNS methods for linear and nonlinear shells. COMPUTERS & STRUCTURES, 305, Article 107543. https://doi.org/10.1016/j.compstruc.2024.107543
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Nigsch, E., & Ortner, N. (2024). Quasinormable Fréchet spaces and M. W. Wong’s inequality. Journal of Pseudo-Differential Operators and Applications, 15(2), Article 40. https://doi.org/10.1007/s11868-024-00606-1
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Schöbinger, M., & Hollaus, K. (2024). Effective Interface Condition for Electromagnetic Shielding Using the T-Φ-Formulation in 3D. In Proceedings 2024 IEEE 21st Biennial Conference on Electromagnetic Field Computation (CEFC). IEEE 21st Biennial Conference on Electromagnetic Field Computation (CEFC 2024), Jeju, Korea (the Republic of). https://doi.org/10.1109/CEFC61729.2024.10586151
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Simonov, S., & Woracek, H. (2024). Local spectral multiplicity of selfadjoint couplings with general interface conditions. Integral Equations and Operator Theory, 96(2), Article 18. https://doi.org/10.1007/s00020-024-02767-6
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Sky, A., Neunteufel, M., Lewintan, P., Zilian, A., & Neff, P. (2024). Novel H (sym Curl)-conforming finite elements for the relaxed micromorphic sequence. Computer Methods in Applied Mechanics and Engineering, 418, Article 116494. https://doi.org/10.1016/j.cma.2023.116494
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Angleitner, N., Faustmann, M., & Melenk, J. M. (2023). H-inverses for RBF interpolation. Advances in Computational Mathematics, 49(6), Article 85. https://doi.org/10.1007/s10444-023-10069-5
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Faustmann, M., Marcati, C., Melenk, J. M., & Schwab, C. (2023). Exponential Convergence of hp-FEM for the Integral Fractional Laplacian in Polygons. SIAM Journal on Numerical Analysis, 61(6), 2601–2622. https://doi.org/10.1137/22M152493X
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Pircher, C., Bachler, M., Ahlström, C., Mayer, C. C., & Hametner, B. (2023). Fit for Duty Assessment of Driver Fatigue based on Statistical Modelling of Cardiovascular Parameters. Simulation Notes Europe, 33(4), 157–166. https://doi.org/10.11128/sne.33.tn.10663
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Lederer, P. L., Mooslechner, X., & Schöberl, J. (2023). High-order projection-based upwind method for implicit large eddy simulation. Journal of Computational Physics, 493, Article 112492. https://doi.org/10.1016/j.jcp.2023.112492
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Banjai, L., Melenk, J. M., & Schwab, C. (2023). hp-FEM for reaction–diffusion equations. II: robust exponential convergence for multiple length scales in corner domains. IMA Journal of Numerical Analysis, 43(6), 3282–3325. https://doi.org/10.1093/imanum/drac070
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Sky, A., Neunteufel, M., Hale, J. S., & Zilian, A. (2023). A Reissner–Mindlin plate formulation using symmetric Hu-Zhang elements via polytopal transformations. Computer Methods in Applied Mechanics and Engineering, 416, Article 116291. https://doi.org/10.34726/5288
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Achleitner, F., Arnold, A., & Carlen, E. (2023). The hypocoercivity index for the short time behavior of linear time-invariant ODE systems. Journal of Differential Equations, 371, 83–115. https://doi.org/10.1016/j.jde.2023.06.027
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Helmer, C., & Jüngel, A. (2023). Existence analysis for a reaction-diffusion Cahn–Hilliard-type system with degenerate mobility and singular potential modeling biofilm growth. Discrete and Continuous Dynamical Systems - Series A, 43(10), 3839–3861. https://doi.org/10.3934/dcds.2023069
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Helml, V., Innerberger, M., & Praetorius, D. (2023). Plain convergence of goal-oriented adaptive FEM. Computers and Mathematics with Applications, 147, 130–149. https://doi.org/10.1016/j.camwa.2023.07.022
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Iuorio, A., Jankowiak, G., Szmolyan, P., & Wolfram, M.-T. (2023). Canards in a bottleneck. PHYSICA D-NONLINEAR PHENOMENA, 451, Article 133768. https://doi.org/10.1016/j.physd.2023.133768
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Neunteufel, M., Schöberl, J., & Sturm, K. (2023). Numerical shape optimization of the Canham-Helfrich-Evans bending energy. Journal of Computational Physics, 488, Article 112218. https://doi.org/10.1016/j.jcp.2023.112218
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Franka, M., Edthofer, A., Körner, A., Widmann, S., Fenzl, T., Schneider, G., & Kreuzer, M. (2023). An in-depth analysis of parameter settings and probability distributions of specific ordinal patterns in the Shannon permutation entropy during different states of consciousness in humans. Journal of Clinical Monitoring and Computing. https://doi.org/10.1007/s10877-023-01051-z
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Letz, T., Hörandtner, C., Braunisch, M. C., Gundel, P., Matschkal, J., Bachler, M., Lorenz, G., Körner, A., Schaller, C., Lattermann, M., Holzinger, A., Heemann, U., Wassertheurer, S., Schmaderer, C., & Mayer, C. C. (2023). Automatic ECG-based detection of left ventricular hypertrophy and its predictive value in haemodialysis patients. Physiological Measurement, 44(7), Article 075002. https://doi.org/10.1088/1361-6579/acdfb3
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Chen, X., Jüngel, A., & Wang, L. (2023). The Shigesada–Kawasaki–Teramoto cross-diffusion system beyond detailed balance. Journal of Differential Equations, 360, 260–286. https://doi.org/10.1016/j.jde.2023.02.048
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Riehl, K., Neunteufel, M., & Hemberg, M. (2023). Hierarchical confusion matrix for classification performance evaluation. Journal of the Royal Statistical Society: Series C, Article qlad057. https://doi.org/10.1093/jrsssc/qlad057
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Achleitner, F., Arnold, A., & Mehrmann, V. (2023). Hypocoercivity and controllability in linear semi-dissipative Hamiltonian ordinary differential equations and differential-algebraic equations. ZAMM-ZEITSCHRIFT FUR ANGEWANDTE MATHEMATIK UND MECHANIK, 103(7), Article e202100171. https://doi.org/10.1002/zamm.202100171
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Almi, S., Davoli, E., & Friedrich, M. (2023). Non-interpenetration conditions in the passage from nonlinear to linearized Griffith fracture. Journal de Mathématiques Pures et Appliquées, 175, 1–36. https://doi.org/10.1016/j.matpur.2023.05.001
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Becker, R., Brunner, M., Innerberger, M., Melenk, J. M., & Praetorius, D. (2023). Cost-optimal adaptive iterative linearized FEM for semilinear elliptic PDEs. ESAIM: Mathematical Modelling and Numerical Analysis, 57(4), 2193–2225. https://doi.org/10.1051/m2an/2023036
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Bécache, É., Kachanovska, M., & Wess, M. (2023). Convergence analysis of time-domain PMLS for 2D electromagnetic wave propagation in dispersive waveguides. ESAIM: Mathematical Modelling and Numerical Analysis, 57(4), 2451–2491. https://doi.org/10.1051/m2an/2023060
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Faustmann, M., Stephan, E. P., & Wörgötter, D. (2023). Two-level error estimation for the integral fractional Laplacian. Computational Methods in Applied Mathematics, 23(3), 603–621. https://doi.org/10.1515/cmam-2022-0195
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Gavioli, C., & Krejci, P. (2023). Controllability of PDEs with hysteresis. In Digital Book of Abstracts: 13th International Symposium on Hysteresis Modeling and Micromagnetics (HMM 2023). 13th International Symposium on Hysteresis Modeling and Micromagnetics (HMM 2023), Vienna, Austria. https://doi.org/10.34726/5318
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Huo, X., Jüngel, A., & Tzavaras, A. E. (2023). Existence and weak–strong uniqueness for Maxwell–Stefan–Cahn–Hilliard systems. Annales de l’Institut Henri Poincaré C, 41(4), 797–852. https://doi.org/10.4171/aihpc/89
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Dareiotis, K., Gerencsér, M., & Lê, K. (2023). Quantifying a convergence theorem of Gyöngy and Krylov. Annals of Applied Probability, 33(3), 2291–2323. https://doi.org/10.1214/22-AAP1867
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Gerencser, M. (2023). Regularisation by regular noise. Stochastics and Partial Differential Equations: Analysis and Computations, 11, 714–729. https://doi.org/10.1007/s40072-022-00242-0
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Wang, B.-Y., Bhuckory, M. B., Chen, Z. C., Shin, A., Jensen, N., Galambos, L., Mathieson, K., Kamins, T., Werginz, P., & Palanker, D. (2023). The role of stimulation selectivity in visual acuity with subretinal prostheses. In ARVO 2023. ARVO Annual Meeting 2023, New Orleans, United States of America (the). ARVO.
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Faustmann, M., Marcati, C., Melenk, J. M., & Schwab, C. (2023). Exponential convergence of hp-FEM for the integral fractional Laplacian. In Book of Abstract: 9th International Conference on High Order Finite Element and Isogeometric Methods (pp. 47–47).
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Charles, F., Massimini, A., & Salvarani, F. (2023). Mathematical and numerical study of a kinetic model describing the evolution of planetary rings. Computers and Mathematics with Applications, 143, 48–56. https://doi.org/10.1016/j.camwa.2023.04.029
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Brunner, M., Innerberger, M., Miraçi, A., Praetorius, D., Streitberger, J., & Heid, P. (2023). Adaptive FEM with quasi-optimal overall cost for nonsymmetric linear elliptic PDEs. IMA Journal of Numerical Analysis, 44(3), 1560–1596. https://doi.org/10.1093/imanum/drad039
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Davoli, E., Mazari, I., & Stefanelli, U. (2023). Spectral Optimization of Inhomogeneous Plates. SIAM Journal on Control and Optimization, 61(2), 852–871. https://doi.org/10.1137/21M1435203
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Butkovsky, O., Dareiotis, K., & Gerencsér, M. (2023). Optimal Rate of Convergence for Approximations of SPDEs with Nonregular Drift. SIAM Journal on Numerical Analysis, 61(2), 1103–1137. https://doi.org/10.1137/21M1454213
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Innerberger, M., & Praetorius, D. (2023). MooAFEM: An object oriented Matlab code for higher-order adaptive FEM for (nonlinear) elliptic PDEs. Applied Mathematics and Computation, 442, Article 127731. https://doi.org/10.1016/j.amc.2022.127731
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Bringmann, P. (2023). How to prove optimal convergence rates for adaptive least-squares finite element methods. Journal of Numerical Mathematics, 31(1), 43–58. https://doi.org/10.1515/jnma-2021-0116
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Helmer, C., Jüngel, A., & Zurek, A. (2023). Analysis of a finite-volume scheme for a single-species biofilm model. Applied Numerical Mathematics, 185, 386–405. https://doi.org/10.1016/j.apnum.2022.12.002
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Angleitner, N., Faustmann, M., & Melenk, J. M. (2023). Exponential meshes and H-matrices. Computers and Mathematics with Applications, 130, 21–40. https://doi.org/10.1016/j.camwa.2022.11.011
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Di Fratta, G., Jüngel, A., Praetorius, D., & Slastikov, V. (2023). Spin-diffusion model for micromagnetics in the limit of long times. Journal of Differential Equations, 343, 467–494. https://doi.org/10.1016/j.jde.2022.10.012
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Bargetz, C., Nigsch, E., & Ortner, N. (2023). Projective descriptions of spaces of functions and distributions. Mathematische Nachrichten, 296(3), 915–937. https://doi.org/10.1002/mana.202100526
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Achleitner, F., Arnold, A., & Mehrmann, V. (2023). Hypocoercivity and hypocontractivity concepts for linear dynamical systems. ELECTRONIC JOURNAL OF LINEAR ALGEBRA, 39, 33–61. https://doi.org/10.13001/ela.2023.7531
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Achleitner, F., Arnold, A., & Mehrmann, V. (2023). Hypocoercivity in Algebraically Constrained Partial Differential Equations with Application to Oseen Equations. Journal of Dynamics and Differential Equations. https://doi.org/10.1007/s10884-023-10327-6
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Banjai, L., Melenk, J. M., & Schwab, C. (2023). Exponential convergence of hp FEM for spectral fractional diffusion in polygons. Numerische Mathematik, 153. https://doi.org/10.1007/s00211-022-01329-5
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Becker, R., Gantner, G., Innerberger, M., & Praetorius, D. (2023). Goal-oriented adaptive finite element methods with optimal computational complexity. Numerische Mathematik, 153, 111–140. https://doi.org/10.1007/s00211-022-01334-8
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Bernkopf, M., & Melenk, J. M. (2023). Optimal convergence rates in L² for a first order system least squares finite element method. ESAIM-MATHEMATICAL MODELLING AND NUMERICAL ANALYSIS, 57(1), 107–141. https://doi.org/10.1051/m2an/2022026
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Braukhoff, M., Huber, F., & Jüngel, A. (2023). Global martingale solutions for stochastic Shigesada–Kawasaki–Teramoto population models. Stochastics and Partial Differential Equations: Analysis and Computations. https://doi.org/10.1007/s40072-023-00289-7
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Cuyt, A., Melenk, J. M., Sauter, S. A., & Xu, Y. (2023). Mini-Workshop: Multivariate Orthogonal Polynomials: New synergies with Numerical Analysis. Oberwolfach Reports, 20(3), 2489–2534. https://doi.org/10.4171/owr/2023/43
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Davoli, E., & Friedrich, M. (2023). Two-well linearization for solid-solid phase transitions. Journal of the European Mathematical Society. https://doi.org/10.4171/JEMS/1385
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Davoli, E., Ferreira, R., Kreisbeck, C., & Schönberger, H. (2023). Structural Changes in Nonlocal Denoising Models Arising Through Bi-Level Parameter Learning. Applied Mathematics and Optimization, 88(1), Article 9. https://doi.org/10.1007/s00245-023-09982-4
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Davoli, E., Fonseca, I., & Liu, P. (2023). Adaptive Image Processing: First Order PDE Constraint Regularizers and a Bilevel Training Scheme. Journal of Nonlinear Science, 33(3), Article 41. https://doi.org/10.1007/s00332-023-09902-4
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Di Fratta, G., Pfeiler, C.-M., Praetorius, D., & Ruggeri, M. (2023). The Mass-Lumped Midpoint Scheme for Computational Micromagnetics: Newton Linearization and Application to Magnetic Skyrmion Dynamics. Computational Methods in Applied Mathematics, 23(1), 145–175. https://doi.org/10.1515/cmam-2022-0060
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Druet, P.-É., Hopf, K., & Jüngel, A. (2023). Hyperbolic–parabolic normal form and local classical solutions for cross-diffusion systems with incomplete diffusion. Communications in Partial Differential Equations, 48(6), 863–894. https://doi.org/10.1080/03605302.2023.2212479
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Gavioli, C., & Krejci, P. (2023). Degenerate diffusion with Preisach hysteresis. Discrete and Continuous Dynamical Systems - Series S, 16(12), 3677–3708. https://doi.org/10.3934/dcdss.2023154
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Gopalakrishnan, J., Neunteufel, M., Schöberl, J., & Wardetzky, M. (2023). Analysis of curvature approximations via covariant curl and incompatibility for Regge metrics. SMAI Journal of Computational Mathematics (SMAI-JCM), 9, 151–195. https://doi.org/10.5802/smai-jcm.98
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Hollaus, K., & Schöbinger, M. (2023). Multiscale finite element formulations for 2D/1D problems. IEEE Transactions on Energy Conversion. https://doi.org/10.34726/5425
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Jourdana, C., Jüngel, A., & Zamponi, N. (2023). Three-species drift-diffusion models for memristors. Mathematical Models and Methods in Applied Sciences, 33(10), 2113–2156. https://doi.org/10.1142/S0218202523500501
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Jüngel, A., & Vetter, M. (2023). A Convergent Entropy-Dissipating BDF2 Finite-Volume Scheme for a Population Cross-Diffusion System. Computational Methods in Applied Mathematics, 24(3), 725–746. https://doi.org/10.1515/cmam-2023-0009
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Jüngel, A., & Zurek, A. (2023). A discrete boundedness-by-entropy method for finite-volume approximations of cross-diffusion systems. IMA Journal of Numerical Analysis, 43(1), 560–589. https://doi.org/10.1093/imanum/drab101
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Jüngel, A., Chen, L., & Holzinger, A. (2023). Quantitative mean-field estimates for aggregation-diffusion equations and fluctuations. Oberwolfach Reports, 38, 30–32.
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Langer, M., Pruckner, R., & Woracek, H. (2023). Canonical systems whose Weyl coefficients have dominating real part. Journal d’Analyse Mathématique, 1–40. https://doi.org/10.1007/s11854-023-0297-9
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Melenk, J. M., & Wörgötter, D. (2023). Wavenumber-explicit regularity theory for the time-harmonic Maxwell equations in piecewise smooth media. Oberwolfach Reports, 43, 12–15.
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Rieder, A. (2023). Double exponential quadrature for fractional diffusion. Numerische Mathematik, 153, 359–410. https://doi.org/10.1007/s00211-022-01342-8
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Wenger, C., Fellner, A., Bucek, F., Werginz, P., & Rattay, F. (2023). Simulating auditory nerve fiber response following micro-electrode stimulation: Comparing efficiency of electrode placements in the scala tympani and scala vestibul. Current Directions in Biomedical Engineering, 9(2), 5–8. https://doi.org/10.1515/cdbme-2023-1202
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Zdunek, A., Neunteufel, M., & Rachowicz, W. (2023). On pressure robustness and independent determination of displacement and pressure in incompressible linear elasticity. Computer Methods in Applied Mechanics and Engineering, 403, Article 115714. https://doi.org/10.1016/j.cma.2022.115714
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Eichinger, B., Fillman, J., Gwaltney, E., & Lukić, M. (2022). Limit-periodic Dirac operators with thin spectra. Journal of Functional Analysis, 283(12), Article 109711. https://doi.org/10.1016/j.jfa.2022.109711
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Lederer, P. L., & Merdon, C. (2022). Guaranteed upper bounds for the velocity error of pressure-robust Stokes discretisations. Journal of Numerical Mathematics, 30(4), 267–294. https://doi.org/10.1515/jnma-2021-0078
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Faustmann, M., Marcati, C., Melenk, J. M., & Schwab, C. (2022). Weighted Analytic Regularity for the Integral Fractional Laplacian in Polygons. SIAM Journal on Mathematical Analysis, 54(6), 6323–6357. https://doi.org/10.1137/21M146569X
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Brunner, K., & Hametner, B. (2022). Reviewing Recommender Systems in the Medical Domain. Simulation Notes Europe, 32(4), 203–209. https://doi.org/10.11128/sne.32.tn.10624
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Böck, M., Malle, J., Pasterk, D., Kukina, H., Hasani, R., & Heitzinger, C. (2022). Superhuman performance on sepsis MIMIC-III data by distributional reinforcement learning. PLoS ONE, 17(11), Article e0275358. https://doi.org/10.1371/journal.pone.0275358
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Amad, A. A. S., Ledger, P. D., Betcke, T., & Praetorius, D. (2022). Benchmark computations for the polarization tensor characterization of small conducting objects. Applied Mathematical Modelling, 111, 94–107. https://doi.org/10.1016/j.apm.2022.06.024
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Melenk, J. M., & Rieder, A. (2022). An exponentially convergent discretization for space–time fractional parabolic equations using 𝘩𝘱-FEM. IMA Journal of Numerical Analysis. https://doi.org/10.1093/imanum/drac045
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Arnold, A., & Signorello, B. (2022). Optimal non-symmetric Fokker-Planck equation for the convergence to a given equilibrium. Kinetic and Related Models, 15(5), 753–773. https://doi.org/10.3934/krm.2022009
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Arnold, A., Geevers, S., Perugia, I., & Ponomarev, D. (2022). On the exponential time-decay for the one-dimensional wave equation with variable coefficients. Communications on Pure and Applied Analysis, 21(10), 3389–3405. https://doi.org/10.3934/cpaa.2022105
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Braukhoff, M., Raithel, C., & Zamponi, N. (2022). Partial Hölder regularity for solutions of a class of cross-diffusion systems with entropy structure. Journal de Mathématiques Pures et Appliquées, 166, 30–69. https://doi.org/10.1016/j.matpur.2022.07.006
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Faustmann, M., Melenk, J. M., & Parvizi, M. (2022). 𝘏-matrix approximability of inverses of FEM matrices for the time-harmonic Maxwell equations. Advances in Computational Mathematics, 48(5), Article 59. https://doi.org/10.1007/s10444-022-09965-z
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Markel, V. A., Schöbinger, M., & Hollaus, K. (2022). A fast method to compute dispersion diagrams of three-dimensional photonic crystals with rectangular geometry. Computer Physics Communications, 279, Article 108441. https://doi.org/10.1016/j.cpc.2022.108441
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Morales Escalante, J. A., & Heitzinger, C. (2022). Stochastic Galerkin methods for the Boltzmann-Poisson system. Journal of Computational Physics, 466, Article 111400. https://doi.org/10.1016/j.jcp.2022.111400
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Gavioli, C., & Krejci, P. (2022). Phase transitions in porous media. Nonlinear Differential Equations and Applications, 29, Article 72. https://doi.org/10.1007/s00030-022-00805-z
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Ghattassi, M., Huo, X., & masmoudi, nader. (2022). On the Diffusive Limits of Radiative Heat Transfer System I: Well-Prepared Initial and Boundary Conditions. SIAM Journal on Mathematical Analysis, 54(5), 5335–5387. https://doi.org/10.1137/21M1455267
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Karimi, A., Moosbrugger, M., Stankovič, M., Kovács, L., Bartocci, E., & Bura, E. (2022). Distribution Estimation for Probabilistic Loops. In E. Ábrahám & M. Paolieri (Eds.), Quantitative Evaluation of Systems (pp. 26–42). Springer-Verlag. https://doi.org/10.1007/978-3-031-16336-4_2
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Bargetz, C., Debrouwere, A., & Nigsch, E. (2022). Sequence space representations for spaces of smooth functions and distributions via Wilson bases. Proceedings of the American Mathematical Society, 150(9), 3841–3852. https://doi.org/10.1090/proc/15895
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Feischl, M. (2022). Inf-sup stability implies quasi-orthogonality. Mathematics of Computation, 91(337), 2059–2094. https://doi.org/10.1090/mcom/3748
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Leumüller, M., & Hollaus, K. (2022). Multiscale Finite Element Method for Ventilation Panels. IEEE Transactions on Magnetics, 58(9), Article 7402104. https://doi.org/10.1109/TMAG.2022.3171098
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Rieder, A., Sayas, F.-J., & Melenk, J. M. (2022). Time domain boundary integral equations and convolution quadrature for scattering by composite media. Mathematics of Computation, 91(337), 2165–2195. https://doi.org/10.1090/mcom/3730
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Sky, A., Neunteufel, M., Muench, I., Schöberl, J., & Neff, P. (2022). Primal and mixed finite element formulations for the relaxed micromorphic model. Computer Methods in Applied Mechanics and Engineering, 399, Article 115298. https://doi.org/10.1016/j.cma.2022.115298
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Gerencsér, M., & Hairer, M. (2022). Boundary renormalisation of SPDEs. Communications in Partial Differential Equations, 47(10), 2070–2123. https://doi.org/10.1080/03605302.2022.2109173
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Pruckner, R., & Woracek, H. (2022). Limit behavior of Weyl coefficients. St. Petersburg Mathematical Journal, 33, 849–865. https://doi.org/10.1090/spmj/1729
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Daus, E., Fellner, M., & Jüngel, A. (2022). Random-batch method for multi-species stochastic interacting particle systems. Journal of Computational Physics, 463, Article 111220. https://doi.org/10.1016/j.jcp.2022.111220
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Jalaeian Zaferani, E., Teshnehlab, M., Khodadadian, A., Heitzinger, C., Vali, M., Noii, N., & Wick, T. (2022). Hyper-Parameter Optimization of Stacked Asymmetric Auto-Encoders for Automatic Personality Traits Perception. Sensors, 22(16), Article 6206. https://doi.org/10.3390/s22166206
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Gangl, P., & Sturm, K. (2022). Automated computation of topological derivatives with application to nonlinear elasticity and reaction–diffusion problems. Computer Methods in Applied Mechanics and Engineering, 398, Article 115288. https://doi.org/10.1016/j.cma.2022.115288
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Erath, C., Mascotto, L., Melenk, J. M., Perugia, I., & Rieder, A. (2022). Mortar Coupling of 𝘩𝘱-Discontinuous Galerkin and Boundary Element Methods for the Helmholtz Equation. Journal of Scientific Computing, 92(1), Article 2. https://doi.org/10.1007/s10915-022-01849-0
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Khodadadian, A., Parvizi, M., Teshnehlab, M., & Heitzinger, C. (2022). Rational Design of Field-Effect Sensors Using Partial Differential Equations, Bayesian Inversion, and Artificial Neural Networks. Sensors, 22(13), Article 4785. https://doi.org/10.3390/s22134785
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Di Fratta, G., Monteil, A., & Slastikov, V. (2022). Symmetry Properties of Minimizers of a Perturbed Dirichlet Energy with a Boundary Penalization. SIAM Journal on Mathematical Analysis, 54(3), 3636–3653. https://doi.org/10.1137/21M143011X
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Gantner, G., Praetorius, D., & Schimanko, S. (2022). Stable Implementation of Adaptive IGABEM in 2D in MATLAB. Computational Methods in Applied Mathematics, 22(3), 563–590. https://doi.org/10.1515/cmam-2022-0050
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Böck, M., & Heitzinger, C. (2022). Speedy Categorical Distributional Reinforcement Learning and Complexity Analysis. SIAM Journal on the Mathematics of Data Science, 4(2), 675–693. https://doi.org/10.1137/20M1364436
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Faustmann, M., Karkulik, M., & Melenk, J. M. (2022). Local Convergence of the FEM for the Integral Fractional Laplacian. SIAM Journal on Numerical Analysis, 60(3), 1055–1082. https://doi.org/10.1137/20M1343853
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Hörandtner, C., Bachler, M., Wassertheurer, S., Breitenecker, F., & Mayer, C. (2022). Pulse Wave Analysis by Quantified Reconstructed Attractors. Simulation Notes Europe, 32(2), 69–78. https://doi.org/10.11128/sne.32.tn.10603
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Jüngel, A., Portisch, S., & Zurek, A. (2022). Nonlocal cross-diffusion systems for multi-species populations and networks. Nonlinear Analysis, 219, Article 112800. https://doi.org/10.1016/j.na.2022.112800
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Rößler, M., & Popper, N. (2022). Model Order Reduction of Deterministic Microscopic Models - A Case Study. Simulation Notes Europe, 32(2), 79–84. https://doi.org/10.11128/sne.32.tn.10604
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Huo, X., Jüngel, A., & Tzavaras, A. E. (2022). Weak-Strong Uniqueness for Maxwell-Stefan Systems. SIAM Journal on Mathematical Analysis, 54(3), 3215–3252. https://doi.org/10.1137/21M145210X
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Hanser, V., Schöbinger, M., & Hollaus, K. (2022). A mixed multiscale FEM for the eddy current problem with T,Φ-Φ and vector hysteresis. COMPEL: The International Journal for Computation and Mathematics in Electrical and Electronic Engineering, 41(3), 852–866. https://doi.org/10.1108/COMPEL-02-2021-0053
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Hollaus, K., Bauer, S., Leumüller, M., & Türk, C. (2022). Measurement and modeling of effective cable parameters of unshielded conductors. COMPEL: The International Journal for Computation and Mathematics in Electrical and Electronic Engineering, 41(3), 1041–1051. https://doi.org/10.1108/COMPEL-03-2021-0098
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Leumüller, M., Hollaus, K., & Schöberl, J. (2022). Domain decomposition and upscaling technique for metascreens. COMPEL: The International Journal for Computation and Mathematics in Electrical and Electronic Engineering, 41(3), 938–953. https://doi.org/10.1108/COMPEL-03-2021-0073
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Danczul, T., & Schöberl, J. (2022). A reduced basis method for fractional diffusion operators I. Numerische Mathematik, 151(2), 369–404. https://doi.org/10.1007/s00211-022-01287-y
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Bulíček, M., Jüngel, A., Pokorný, M., & Zamponi, N. (2022). Existence analysis of a stationary compressible fluid model for heat-conducting and chemically reacting mixtures. Journal of Mathematical Physics, 63(5), Article 051501. https://doi.org/10.1063/5.0041053
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Kovacs, A., Exl, L., Kornell, A., Fischbacher, J., Hovorka, M., Gusenbauer, M., Breth, L., Oezelt, H., Praetorius, D., Süss, D., & Schrefl, T. (2022). Magnetostatics and micromagnetics with physics informed neural networks. Journal of Magnetism and Magnetic Materials, 548, Article 168951. https://doi.org/10.1016/j.jmmm.2021.168951
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Barletti, L., Holzinger, P., & Jüngel, A. (2022). Formal derivation of quantum drift-diffusion equations with spin-orbit interaction. Kinetic and Related Models, 15(2), 257–282. https://doi.org/10.3934/krm.2022007
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Doppler, C., Feischl, M., Ganhör, C., Puh, S., Müller, M., Kotnik, M., Mimler, T., Sonnleitner, M., Bernhard, D., & Wechselberger, C. (2022). Low-entry-barrier point-of-care testing of anti-SARS-CoV-2 IgG in the population of Upper Austria from December 2020 until April 2021—a feasible surveillance strategy for post-pandemic monitoring? Analytical and Bioanalytical Chemistry, 414(10), 3291–3299. https://doi.org/10.1007/s00216-022-03966-z
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Kapla, D. B., Fertl, L., & Bura, E. (2022). Fusing sufficient dimension reduction with neural networks. Computational Statistics & Data Analysis, 168, Article 107390. https://doi.org/10.1016/j.csda.2021.107390
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Nannen, L., & Wess, M. (2022). Complex-scaled infinite elements for resonance problems in heterogeneous open systems. Advances in Computational Mathematics, 48(2), Article 8. https://doi.org/10.1007/s10444-021-09923-1
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Arnold, A., Geevers, S., Perugia, I., & Ponomarev, D. (2022). An adaptive finite element method for high-frequency scattering problems with smoothly varying coefficients. Computers and Mathematics with Applications, 109, 1–14. https://doi.org/10.1016/j.camwa.2022.01.010
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Bicher, M., Wastian, M., Brunmeir, D., & Popper, N. (2022). Review on Monte Carlo Simulation Stopping Rules: How Many Samples Are Really Enough? Simulation Notes Europe, 32(1), 1–8. https://doi.org/10.11128/sne.32.on.10591
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Faustmann, M., Melenk, J. M., & Parvizi, M. (2022). Caccioppoli-type estimates and H-matrix approximations to inverses for FEM-BEM couplings. Numerische Mathematik, 150, 849–892. https://doi.org/10.1007/s00211-021-01261-0
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Orter, S., Möstl, S., Bachler, M., Hoffmann, F., Mayer, C., Kaniusas, E., Reisinger, M., Wassertheurer, S., Tank, J., Jordan, J., & Hametner, B. (2022). A comparison between left ventricular ejection time measurement methods during physiological changes induced by simulated microgravity. Experimental Physiology, 107(3), 213–221. https://doi.org/10.1113/ep090103
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Rambausek, M., Mukherjee, D., & Danas, K. (2022). A computational framework for magnetically hard and soft viscoelastic magnetorheological elastomers. Computer Methods in Applied Mechanics and Engineering, 391, Article 114500. https://doi.org/10.1016/j.cma.2021.114500
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Daus, E., Ptashnyk, M., & Raithel, C. (2022). Derivation of a fractional cross-diffusion system as the limit of a stochastic many-particle system driven by Lévy noise. Journal of Differential Equations, 309, 386–426. https://doi.org/10.1016/j.jde.2021.11.027
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Tomeva, E., Switzeny, O., Heitzinger, C., Hippe, B., & Haslberger, A. G. (2022). Comprehensive Approach to Distinguish Patients with Solid Tumors from Healthy Controls by Combining Androgen Receptor Mutation p.H875Y with Cell-Free DNA Methylation and Circulating miRNAs. Cancers, 14(2), Article 462. https://doi.org/10.3390/cancers14020462
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Almi, S., & Tasso, E. (2022). A new proof of compactness in G(S)BD. Advances in Calculus of Variations, 0(0). https://doi.org/10.1515/acv-2021-0041
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Abbaszadeh, M., Dehghan, M., Khodadadian, A., & Heitzinger, C. (2022). Application of direct meshless local Petrov–Galerkin method for numerical solution of stochastic elliptic interface problems. Numerical Methods for Partial Differential Equations, 38(5), 1271–1292. https://doi.org/10.1002/num.22742
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Arnold, A., Klein, C., & Ujvari, B. (2022). WKB-method for the 1D Schrödinger equation in the semi-classical limit: enhanced phase treatment. BIT Numerical Mathematics, 62(1), 1–22. https://doi.org/10.1007/s10543-021-00868-x
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Auer, F. K., Auzinger, W., Burkotová, J., Rachůnková, I., & Weinmüller, E. B. (2022). On nonlinear singular BVPs with nonsmooth data. Part 2: Convergence of collocation methods. Applied Numerical Mathematics, 171, 149–175. https://doi.org/10.1016/j.apnum.2021.08.016
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Auzinger, W., Burdeos, K., Fallahpour, M., Koch, O., Mendoza, R., & Weinmüller, E. (2022). A numerical continuation method for parameter-dependent boundary value problems using bvpsuite 2.0. Journal of Numerical Analysis, Industrial and Applied Mechanics (JNAIAM), 16(1–2), 1–13.
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Auzinger, W., Dubois, J., Held, K., Hofstätter, H., Jawecki, T., Kauch, A., Koch, O., Kropielnicka, K., Singh, P., & Watzenböck, C. (2022). Efficient Magnus-type integrators for solar energy conversion in Hubbard models. Journal of Computational Mathematics and Data Science, 2(100018), 100018. https://doi.org/10.1016/j.jcmds.2021.100018
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Becker, R., Brunner, M., Innerberger, M., Melenk, J. M., & Praetorius, D. (2022). Rate-optimal goal-oriented adaptive finite element method for semilinear elliptic PDEs. Computers & Mathematics with Applications, 118, 18–35. https://doi.org/10.1016/j.camwa.2022.05.008
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Becker, R., Innerberger, M., & Praetorius, D. (2022). Adaptive FEM for parameter-errors in elliptic linear-quadratic parameter estimation problems. SIAM Journal on Numerical Analysis, 60(3), 1450–1471. https://doi.org/10.1137/21m1458077
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Bellingeri, C., Friz, P. K., & Gerencsér, M. (2022). Singular paths spaces and applications. Stochastic Analysis and Applications, 40(6), 1126–1149. https://doi.org/10.1080/07362994.2021.1988641
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Buffa, A., Gantner, G., Giannelli, C., Praetorius, D., & Vázquez, R. (2022). Mathematical Foundations of Adaptive Isogeometric Analysis. Archives of Computational Methods in Engineering, 29, 4479–4555. https://doi.org/10.1007/s11831-022-09752-5
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Chen, L., Holzinger, A., Jüngel, A., & Zamponi, N. (2022). Analysis and mean-field derivation of a porous-medium equation with fractional diffusion. Communications in Partial Differential Equations, 47(11), 2217–2269. https://doi.org/10.1080/03605302.2022.2118608
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Davoli, E., Di Fratta, G., Praetorius, D., & Ruggeri, M. (2022). Micromagnetics of thin films in the presence of Dzyaloshinskii-Moriya interaction. Mathematical Models and Methods in Applied Sciences, 32(05), 911–939. https://doi.org/10.1142/s0218202522500208
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Davoli, E., Kružík, M., & Pelech, P. (2022). Separately global solutions to rate-independent processes in large-strain inelasticity. Nonlinear Analysis, 215(112668), 112668. https://doi.org/10.1016/j.na.2021.112668
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Detmann, B., Gavioli, C., Krejčí, P., Lamač, J., & Namlyeyeva, Y. (2022). A model for lime consolidation of porous solids. Nonlinear Analysis: Real World Applications, 65(103483), 103483. https://doi.org/10.1016/j.nonrwa.2021.103483
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Dow, D., Gopalakrishnan, J., Schöberl, J., & Wintersteiger, C. (2022). Convergence analysis of some tent-based schemes for linear hyperbolic systems. Mathematics of Computation, 91(334), 699–733. https://doi.org/10.1090/mcom/3686
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Fellner, A., Heshmat, A., Werginz, P., & Rattay, F. (2022). A finite element method framework to model extracellular neural stimulation. Journal of Neural Engineering, 19(2), 022001. https://doi.org/10.1088/1741-2552/ac6060
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Gambi, J. M., García del Pino, M. L., Mosser, J., & Weinmüller, E. (2022). Trailing formations of lightweight spacecrafts to deflect NEAs by means of laser ablation. Acta Astronautica, 190, 241–250. https://doi.org/10.1016/j.actaastro.2021.10.006
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Gantner, G., & Praetorius, D. (2022). Adaptive BEM for elliptic PDE systems, Part I: Abstract framework for weakly-singular integral equations. Applicable Analysis, 101(6), 2085–2118. https://doi.org/10.1080/00036811.2020.1800651
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Gantner, G., & Praetorius, D. (2022). Adaptive BEM for elliptic PDE systems, Part II: Isogeometric analysis with hierarchical B-splines for weakly-singular integral equations. Computers & Mathematics with Applications, 117, 74–96. https://doi.org/10.1016/j.camwa.2022.04.006
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Gantner, G., & Praetorius, D. (2022). Plain convergence of adaptive algorithms without exploiting reliability and efficiency. IMA Journal of Numerical Analysis, 42(2), 1434–1453. https://doi.org/10.1093/imanum/drab010
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Hanser, V., Schobinger, M., & Hollaus, K. (2022). Efficient Computation of Eddy Current Losses in Laminated Cores with Air Gaps by the Multiscale FEM. In 2022 23rd International Conference on the Computation of Electromagnetic Fields (COMPUMAG) : a selection of extended papers022 23rd International Conference on the Computation of Electromagnetic Fields (COMPUMAG). 2022 23rd International Conference on the Computation of Electromagnetic Fields (COMPUMAG), Cancun, Mexico. IEEE. https://doi.org/10.1109/COMPUMAG55718.2022.9827497
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Hanser, V., Schobinger, M., & Hollaus, K. (2022). Multiscale Finite Element Formulations for the Eddy Current Problem in Open Magnetic Circuits. In S. BARMADA, Elsherbeni Atef, & Aaen Peter (Eds.), Proceedings 2022 IEEE 20th Biennial Conference on Electromagnetic Field Computation (CEFC) (pp. 1–2). IEEE. https://doi.org/10.1109/CEFC55061.2022.9940851
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Hofstätter, H., & Koch, O. (2022). An approximate eigensolver for self-consistent field calculations. Numerical Algorithms, 66, 609–641. https://doi.org/10.1007/s11075-013-9751-6
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Hollaus, K., & Schobinger, M. (2022). Multiscale Finite Element Formulations for 2D/1D Problems. In S. BARMADA, Elsherbeni Atef, & Aaen Peter (Eds.), Proceedings 2022 IEEE 20th Biennial Conference on Electromagnetic Field Computation (CEFC) (pp. 1–2). IEEE. https://doi.org/10.1109/CEFC55061.2022.9940831
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Hollaus, K., & Schobinger, M. (2022). Nonlinear Eddy Currents in Laminations, Multiscale Finite Element Method, Harmonic Balance Method and Model Order Reduction. In S. BARMADA, Elsherbeni Atef, & Aaen Peter (Eds.), Proceedings 2022 IEEE 20th Biennial Conference on Electromagnetic Field Computation (CEFC) (pp. 1–2). IEEE. https://doi.org/10.1109/CEFC55061.2022.9940707
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Hollaus, K., & Schöberl, J. (2022). A Higher Order Multi-Scale FEM With A for 2-D Eddy Current Problems in Laminated Iron. IEEE Transactions on Magnetics, 51(3), Article 7093479. https://doi.org/10.1109/TMAG.2014.2360075
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Jüngel, A., & Zamponi, N. (2022). Analysis of a fractional cross-diffusion system for multi-species populations. Journal of Differential Equations, 322, 237–267. https://doi.org/10.1016/j.jde.2022.03.028
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Jüngel, A., Stefanelli, U., & Trussardi, L. (2022). A minimizing-movements approach to GENERIC systems. Mathematics in Engineering, 4(1), 1–18. https://doi.org/10.3934/mine.2022005
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Kogler, L., & Schöberl, J. (2022). An algebraic multigrid method for elasticity based on an auxiliary topology with edge matrices. Numerical Linear Algebra with Applications, 29(1), Article e2408. https://doi.org/10.1002/nla.2408
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Körner, J., Arnold, A., & Döpfner, K. (2022). WKB-based scheme with adaptive step size control for the Schr ̈odinger equation in the highly oscillatory regime. Journal of Computational and Applied Mathematics, 404(113905), 113905. https://doi.org/10.1016/j.cam.2021.113905
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Mauser, N. J., Pfeiler, C.-M., Praetorius, D., & Ruggeri, M. (2022). Unconditional well-posedness and IMEX improvement of a family of predictor-corrector methods in micromagnetics. Applied Numerical Mathematics, 180, 33–54. https://doi.org/10.1016/j.apnum.2022.05.008
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Oezelt, H., Qu, L., Kovacs, A., Fischbacher, J., Gusenbauer, M., Beigelbeck, R., Praetorius, D., Masao, Y., Shoji, T., Kato, A., Chantrell, R., Winklhofer, M., Zimanyi, G., & Schrefl, T. (2022). Full-spin-wave-scaled stochastic micromagnetism for mesh-independent simulations of ferromagnetic resonance and reversal. Npj Computational Materials, 8(35). https://doi.org/10.1038/s41524-022-00719-5
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Pagliari, V., Papafitsoros, K., Raită, B., & Vikelis, A. (2022). Bilevel Training Schemes in Imaging for Total Variation ‒ Type Functionals with Convex Integrands. SIAM Journal on Imaging Sciences, 15(4), 1690–1728. https://doi.org/10.1137/21M1467328
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Ponomarev, D. (2022). A Note on the Appearance of the Simplest Antilinear ODE in Several Physical Contexts. AppliedMath, 2(3), 433–445. https://doi.org/10.3390/appliedmath2030024
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Popper, N., Bicher, M., Breitenecker, F., Glock, B., Hafner, I., Mujica Mota, M., Mušic, G., Rippinger, C., Rössler, M., Schneckenreither, G., Urach, C., Wastian, M., Zauner, G., & Zechmeister, M. (2022). Methods for Integrated Simulation - 10 Concepts to Integrate. Simulation Notes Europe, 32(4), 225–236. https://doi.org/10.11128/sne.32.on.10627
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Pruckner, R., & Woracek, H. (2022). A growth estimate for the monodromy matrix of a canonical system. Journal of Spectral Theory, 12(4), 1623–1657. https://doi.org/10.4171/JST/437
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Rattay, F., & Tanzer, T. (2022). A simple model considering spiking probability during extracellular axon stimulation. PLOS ONE, 17(4), e0264735. https://doi.org/10.1371/journal.pone.0264735
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Rattay, F., & Tanzer, T. (2022). Impact of electrode position on the dynamic range of a human auditory nerve fiber. Journal of Neural Engineering, 19(1), 016025. https://doi.org/10.1088/1741-2552/ac50bf
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Schobinger, M., Tarek, M. T. B., Sozer, Y., Tsukerman, I., & Hollaus, K. (2022). Magnetic Microwire Materials Route Magnetic Flux in Screens and Cores of Electrical Machines. In Proceedings 2022 23rd International Conference on the Computation of Electromagnetic Fields (COMPUMAG) (pp. 1–4). IEEE. https://doi.org/10.1109/COMPUMAG55718.2022.9827508
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Winkler, S., Körner, A., & Breitenecker, F. (2021). Modelling framework for artificial hybrid dynamical systems. Nonlinear Analysis: Hybrid Systems, 42, Article 101072. https://doi.org/10.1016/j.nahs.2021.101072
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Neunteufel, M., Pechstein, A. S., & Schöberl, J. (2021). Three-field mixed finite element methods for nonlinear elasticity. Computer Methods in Applied Mechanics and Engineering, 382, Article 113857. https://doi.org/10.1016/j.cma.2021.113857
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Sky, A., Neunteufel, M., Münch, I., Schöberl, J., & Neff, P. (2021). A hybrid H¹ x H(curl) finite element formulation for a relaxed micromorphic continuum model of antiplane shear. Computational Mechanics, 68, 1–24. https://doi.org/10.1007/s00466-021-02002-8
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Leumüller, M., Auinger, B., Schöberl, J., & Hollaus, K. (2021). Enhanced Technique for Metascreens Using the Generalized Finite Element Method. IEEE Transactions on Magnetics, 57(6), Article 7401704. https://doi.org/10.1109/tmag.2021.3065118
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Akrivis, G., Feischl, M., Kovács, B., & Lubich, C. (2021). HIGHER-ORDER LINEARLY IMPLICIT FULL DISCRETIZATION OF THE LANDAU–LIFSHITZ–GILBERT EQUATION. Mathematics of Computation, 90(329), 995–1038. https://doi.org/10.1090/mcom/3597
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Kurz, S., Pauly, D., Praetorius, D., Repin, S., & Sebastian, D. (2021). Functional a posteriori error estimates for boundary element methods. Numerische Mathematik, 147, 937–966. https://doi.org/10.1007/s00211-021-01188-6
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Haberl, A., Praetorius, D., Schimanko, S., & Vohralík, M. (2021). Convergence and quasi-optimal cost of adaptive algorithms for nonlinear operators including iterative linearization and algebraic solver. Numerische Mathematik, 147(3), 679–725. https://doi.org/10.1007/s00211-021-01176-w
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Gambi, J. M., Garcia del Pino, M. L., Mosser, J., & Weinmüller, E. (2021). Computational Modeling and Simulation to Increase Laser Shooting Accuracy of Autonomous LEO Trackers. Photonics, 8(2), Article 55. https://doi.org/10.3390/photonics8020055
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Melching, D., Neunteufel, M., Schöberl, J., & Stefanelli, U. (2021). A finite-strain model for incomplete damage in elastoplastic materials. Computer Methods in Applied Mechanics and Engineering, 374, Article 113571. https://doi.org/10.1016/j.cma.2020.113571
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Achleitner, F., Kuehn, C., Melenk, J. M., & Rieder, A. (2021). Metastable Speeds in the Fractional Allen-Cahn Equation. Applied Mathematics and Computation, 408(126329), 126329. https://doi.org/10.1016/j.amc.2021.126329
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Amodio, P., Arnold, A., Levitina, T., Settanni, G., & Weinmüller, E. B. (2021). On the Abramov approach for the approximation of whispering gallery modes in prolate spheroids. Applied Mathematics and Computation, 409(125599), 125599. https://doi.org/10.1016/j.amc.2020.125599
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Angleitner, N., Faustmann, M., & Melenk, J. M. (2021). Approximating inverse FEM matrices on non-uniform meshes with H-matrices. Calcolo, 58(31). https://doi.org/10.1007/s10092-021-00413-w
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Arnold, A., Einav, A., Signorello, B., & Wöhrer, T. (2021). Large-time convergence of the non-homogeneous Goldstein-Taylor equation. Journal of Statistical Physics, 182, Article 41. https://doi.org/10.1007/s10955-021-02702-8
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Auzinger, W., Březinová, I., Grosz, A., Hofstätter, H., Koch, O., & Sato, T. (2021). Efficient adaptive exponential time integrators for nonlinear Schrödinger equations with nonlocal potential. Journal of Computational Mathematics and Data Science, 1(100014), 100014. https://doi.org/10.1016/j.jcmds.2021.100014
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Auzinger, W., Hofstätter, H., Koch, O., & Quell, M. (2021). Adaptive Time Propagation for Time-Dependent Schrödinger Equations. International Journal of Applied and Computational Mathematics, 7, Article 6. https://doi.org/10.1007/s40819-020-00937-9
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Auzinger, W., Obelovska, K., Dronyuk, I., Pelekh, K., & Stolyarchuk, R. (2021). A Continuous Model for States in CSMA/CA-Based Wireless Local Networks Derived from State Transition Diagrams. In M. Saraswat, S. Roy, C. Chowdhury, & A. H. Gandomi (Eds.), Proceedings of International Conference on Data Science and Applications (pp. 571–579). Lecture Notes in Networks and Systems, Springer. https://doi.org/10.1007/978-981-16-5348-3_45
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Baumann, P., & Sturm, K. (2021). Adjoint-based methods to compute higher-order topological derivatives with an application to elasticity. Engineering Computations, 39(1), 60–114. https://doi.org/10.1108/ec-07-2021-0407
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Becker, R., Innerberger, M., & Praetorius, D. (2021). Optimal convergence rates for goal-oriented FEM with quadratic goal functional. Computational Methods in Applied Mathematics, 21(2), 267–288. https://doi.org/10.1515/cmam-2020-0044
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Bespalov, A., Praetorius, D., & Ruggeri, M. (2021). Convergence and rate optimality of adaptive multilevel stochastic Galerkin FEM. IMA Journal of Numerical Analysis, 42(3), 2190–2213. https://doi.org/10.1093/imanum/drab036
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Bespalov, A., Praetorius, D., & Ruggeri, M. (2021). Two-level a posteriori error estimation for adaptive multilevel stochastic Galerkin FEM. SIAM/ASA Journal on Uncertainty Quantification, 9(3), 1184–1216. https://doi.org/10.1137/20m1342586
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Bohn, J., & Feischl, M. (2021). Recurrent neural networks as optimal mesh refinement strategies. Computers and Mathematics with Applications, 97, 61–76. https://doi.org/10.1016/j.camwa.2021.05.018
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Braukhoff, M., & Jüngel, A. (2021). Entropy-dissipating finite-difference schemes for nonlinear fourth-order parabolic equations. AIMS Mathematics, 26, 3335–3355. https://doi.org/10.3934/dcdsb.2020234
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Bresciani, M. (2021). Linearized von Karman theory for incompressible magnetoelastic plates. Mathematical Models and Methods in Applied Sciences, 31(10), 1987–2037. https://doi.org/10.1142/s0218202521500445
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Butkovsky, O., Dareiotis, K., & Gerencsér, M. (2021). Approximation of SDEs: a stochastic sewing approach. Probability Theory and Related Fields, 181(4), 975–1034. https://doi.org/10.1007/s00440-021-01080-2
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Cesaroni, A., & Pagliari, V. (2021). Convergence of nonlocal geometric flows to anisotropic mean curvature motion. Discrete and Continuous Dynamical Systems - Series A, 41(10), 4987. https://doi.org/10.3934/dcds.2021065
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Chen, L., Daus, E. S., Holzinger, A., & Jüngel, A. (2021). Rigorous Derivation of Population Cross-Diffusion Systems from Moderately Interacting Particle Systems. Journal of Nonlinear Science, 31(94). https://doi.org/10.1007/s00332-021-09747-9
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Chen, X., & Jüngel, A. (2021). When do cross-diffusion systems have an entropy structure? Journal of Differential Equations, 278, 60–72. https://doi.org/10.1016/j.jde.2020.12.037
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Christiansen, J. S., Eichinger, B., & VandenBoom, T. (2021). Finite-Gap CMV Matrices: Periodic Coordinates and a Magic Formula. International Mathematics Research Notices, 2021(18), 14016–14085. https://doi.org/10.1093/imrn/rnz213
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Damanik, D., Eichinger, B., & Yuditskii, P. (2021). Szegö’s theorem for canonical systems: the Arov gauge and a sum rule. Journal of Spectral Theory, 11(3), 1255–1277. https://doi.org/10.4171/jst/371
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Danczul, T., & Schöberl, J. (2021). A reduced basis method for fractional diffusion operators II. Journal of Numerical Mathematics, 29(4), 269–287. https://doi.org/10.1515/jnma-2020-0042
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Dareiotis, K., Gerencsér, M., & Gess, B. (2021). Porous media equations with multiplicative space-time white noise. Annales de l’Institut Henri Poincaré, Probabilités et Statistiques, 57(4). https://doi.org/10.1214/20-aihp1139
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Daus, E. S., Jüngel, A., & Zurek, A. (2021). Convergence of a finite-volume scheme for a degenerate-singular cross-diffusion system for biofilms. IMA Journal of Numerical Analysis, 41(2), 935–973. https://doi.org/10.1093/imanum/draa040
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Davoli, E., Ferreira, R., & Kreisbeck, C. (2021). Homogenization in BV of a model for layered composites in finite crystal plasticity. Advances in Calculus of Variations, 14(3), 441–473. https://doi.org/10.1515/acv-2019-0011
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Davoli, E., Kružík, M., Piovano, P., & Stefanelli, U. (2021). Magnetoelastic thin films at large strains. Continuum Mechanics and Thermodynamics, 33(2), 327–341. https://doi.org/10.1007/s00161-020-00904-1
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Davoli, E., Molchanova, A., & Stefanelli, U. (2021). Equilibria of charged hyperelastic solids. SIAM Journal on Mathematical Analysis, 54(2), 1470–1487. https://doi.org/10.1137/21m1413286
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Davoli, E., Roubček, T., & Stefanelli, U. (2021). A note about hardening-free viscoelastic models in Maxwellian-type rheologies at large strains. Mathematics and Mechanics of Solids, 26(10), 1483–1497. https://doi.org/10.1177/1081286521990418
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Davoli, E., Scarpa, L., & Trussardi, L. (2021). Local asymptotics for nonlocal convective Cahn-Hilliard equations with W^{1,1} kernel and singular potential. Journal of Differential Equations, 289, 35–58. https://doi.org/10.1016/j.jde.2021.04.016
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Davoli, E., Scarpa, L., & Trussardi, L. (2021). Nonlocal-to-local convergence of Cahn-Hilliard equations: Neumann boundary conditions and viscosity terms. Archive for Rational Mechanics and Analysis, 239(1), 117–149. https://doi.org/10.1007/s00205-020-01573-9
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Dhariwal, G., Huber, F., Jüngel, A., Kuehn, C., & Neamţu, A. (2021). Global martingale solutions for quasilinear SPDEs via the boundedness-by-entropy method. Annales de l’Institut Henri Poincaré, Probabilités et Statistiques, 57(1). https://doi.org/10.1214/20-aihp1088
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Dick, J., & Feischl, M. (2021). A quasi-Monte Carlo data compression algorithm for machine learning. Journal of Complexity, 67(101587), 101587. https://doi.org/10.1016/j.jco.2021.101587
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Edalatzadeh, M. S., Kalise, D., Morris, K. A., & Sturm, K. (2021). Optimal Actuator Design for the Euler-Bernoulli Vibration Model Based on LQR Performance and Shape Calculus. IEEE Control Systems Letters, 6, 1334–1339. https://doi.org/10.1109/lcsys.2021.3093215
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Eichinger, B., & Yuditskii, P. (2021). Pointwise Remez inequality. Constructive Approximation, 54(3), 529–554. https://doi.org/10.1007/s00365-021-09562-1
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Emrich, S., & Popper, N. (2021). How an Agent-Based Population Model Became a Key-Element of the Austrian Effort Against COVID-19. ERCIM News, 124, 32–33.
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Faustmann, M., Melenk, J. M., & Parvizi, M. (2021). On the stability of Scott-Zhang type operators and application to multilevel preconditioning in fractional diffusion. ESAIM: Mathematical Modelling and Numerical Analysis, 55(2), 595–625. https://doi.org/10.1051/m2an/2020079
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Faustmann, M., Melenk, J. M., & Praetorius, D. (2021). Quasi-optimal convergence rate for an adaptive method for the integral fractional Laplacian. Mathematics of Computation, 90(330), 1557–1587. https://doi.org/10.1090/mcom/3603
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Favre, G., Jüngel, A., Schmeiser, C., & Zamponi, N. (2021). Existence analysis of a degenerate diffusion system for heat-conducting gases. Nonlinear Differential Equations and Applications, 28(41). https://doi.org/10.1007/s00030-021-00700-z
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Feischl, M., & Scaglioni, A. (2021). Convergence of adaptive stochastic collocation with finite elements. Computers and Mathematics with Applications, 98, 139–156. https://doi.org/10.1016/j.camwa.2021.07.001
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Gangl, P., & Sturm, K. (2021). Topological derivative for PDEs on surfaces. SIAM Journal on Control and Optimization, 60(1), 81–103. https://doi.org/10.1137/20m1339040
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Gantner, G., Haberl, A., Praetorius, D., & Schimanko, S. (2021). Rate optimality of adaptive finite element methods with respect to the overall computational costs. Mathematics of Computation, 90(331), 2011–2040. https://doi.org/10.1090/mcom/3654
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Haberl, A., Praetorius, D., Schimanko, S., & Vohralík, M. (2021). Convergence and quasi-optimal cost of adaptive algorithms for nonlinear operators including iterative linearization and algebraic solver. Numerische Mathematik, 147(3), 679–725. https://doi.org/10.1007/s00211-021-01176-w
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Hafner, I., & Popper, N. (2021). An Overview of the State of the Art in Co-Simulation and Related Methods. SNE Simulation Notes Europe, 31(4), 185–200. https://doi.org/10.11128/sne.31.on.10582
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Hafner, I., & Popper, N. (2021). Investigation on Stability Properties of Hierarchical Co-Simulation. SNE Simulation Notes Europe, 31(1), 17–24. https://doi.org/10.11128/sne.31.tn.10553
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Heid, P., Praetorius, D., & Wihler, T. P. (2021). Energy contraction and optimal convergence of adaptive iterative linearized finite element methods. Computational Methods in Applied Mathematics, 21(2), 407–422. https://doi.org/10.1515/cmam-2021-0025
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Heitzinger, C., & Morales Escalant, J. A. (2021). Homogenization of Boundary Layers in the Boltzmann--Poisson System. Multiscale Modeling and Simulation: A SIAM Interdisciplinary Journal, 19(1), 506–532. https://doi.org/10.1137/18m1193888
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Helmer, C., & Jüngel, A. (2021). Analysis of Maxwell-Stefan systems for heat conducting fluid mixtures. Nonlinear Analysis: Real World Applications, 59(103263), 103263. https://doi.org/10.1016/j.nonrwa.2020.103263
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Heshmat, A., Sajedi, S., Schrott-Fischer, A., & Rattay, F. (2021). Polarity Sensitivity of Human Auditory Nerve Fibers Based on Shape and Cochlear Implant Stimulation Strategy and Array. Frontiers in Neuroscience, 15. https://doi.org/10.3389/fnins.2021.751599
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Innerberger, M., & Praetorius, D. (2021). Instance-optimal goal-oriented adaptivity. Computational Methods in Applied Mathematics, 21(1), 109–126. https://doi.org/10.1515/cmam-2019-0115
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Jain, P., Molchanova, A., Singh, M., & Vodopyanov, S. (2021). On grand Sobolev spaces and pointwise description of Banach function spaces. Nonlinear Analysis: Theory, Methods and Applications, 202(112100), 112100. https://doi.org/10.1016/j.na.2020.112100
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Jawecki, T. (2021). A study of defect-based error estimates for the Krylov approximation of phi-functions. Numerical Algorithms, 90(1), 323–361. https://doi.org/10.1007/s11075-021-01190-x
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Jelbart, S., Kristiansen, K. U., Szmolyan, P., & Wechselberger, M. (2021). Singularly Perturbed Oscillators with Exponential Nonlinearities. Journal of Dynamics and Differential Equations, 34(3), 1823–1875. https://doi.org/10.1007/s10884-021-10041-1
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Jüngel, A., & Zurek, A. (2021). A convergent structure-preserving finite-volume scheme for the Shigesada-Kawasaki-Teramoto population system. SIAM Journal on Mathematical Analysis, 59(4), 2286–2309. https://doi.org/10.1137/20m1381058
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Karimi, A., Taghizadeh, L., & Heitzinger, C. (2021). Optimal Bayesian experimental design for electrical impedance tomography in medical imaging. Computer Methods in Applied Mechanics and Engineering, 373(113489), Article 113489. https://doi.org/10.1016/j.cma.2020.113489
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Kraus, J., Lederer, P. L., Lymbery, M., & Schöberl, J. (2021). Uniformly well-posed hybridized discontinuous Galerkin/hybrid mixed discretizations for Biot’s consolidation model. Computer Methods in Applied Mechanics and Engineering, 384(113991), 113991. https://doi.org/10.1016/j.cma.2021.113991
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Kurz, S., Pauly, D., Praetorius, D., Repin, S., & Sebastian, D. (2021). Functional a posteriori error estimates for boundary element methods. Numerische Mathematik, 147(4), 937–966. https://doi.org/10.1007/s00211-021-01188-6
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Kvasnicka, D., & Roda, G. (2021). Big Data on the Vienna Scientific Cluster. In Austrian-Slovenian HPC Meeting 2021 – ASHPC21 (p. 37). IZUM.
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Lichtenegger, A., Salas, M., Sing, A., Duelk, M., Licandro, R., Gesperger, J., Baumann, B., Drexler, W., & Leitgeb, R. A. (2021). Reconstruction of Optical Coherence Tomography Images Retrieved from Discontinuous Spectral Data using Conditional Generative Adversarial Network. Biomedical Optics Express, 12(11), 6780. https://doi.org/10.1364/boe.435124
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Markus Melenk, J., & Rieder, A. (2021). hp-FEM for the fractional heat equation. IMA Journal of Numerical Analysis, 41(1), 412–454. https://doi.org/10.1093/imanum/drz054
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Melenk, J. M., & Rieder, A. (2021). On superconvergence of Runge-Kutta convolution quadrature for the wave equation. Numerische Mathematik, 147(1), 157–188. https://doi.org/10.1007/s00211-020-01161-9
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Melenk, J. M., & Sauter, S. A. (2021). wavenumber-explicit hp-FEM analysis for Maxwell’s equations with transparent boundary conditions. Foundations of Computational Mathematics, 21(1), 125–241. https://doi.org/10.1007/s10208-020-09452-1
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Neunteufel, M., & Schöberl, J. (2021). Avoiding membrane locking with Regge interpolation. Computer Methods in Applied Mechanics and Engineering, 373, Article 113524. https://doi.org/10.1016/j.cma.2020.113524
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Pfeiffer, R., Kapla, D. B., & Bura, E. (2021). Least squares and maximum likelihood estimation of sufficient reductions in regressions with matrix-valued predictors. International Journal of Data Science and Analytics, 11, 11–26. https://doi.org/10.1007/s41060-020-00228-y
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Ponomarev, D. (2021). Asymptotic solution to convolution integral equations on large and small intervals. Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences, 477(2248). https://doi.org/10.1098/rspa.2021.0025
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Pruckner, R., & Woracek, H. (2021). Limit behaviour of Nevanlinna functions. Algebra i Analiz, 33(5), 153–175.
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Raghuram, V., Werginz, P., Fried, S. I., & Timko, B. P. (2021). Morphological Factors that Underlie Neural Sensitivity to Stimulation in the Retina. Advanced NanoBiomed Research, 1(12), 2100069. https://doi.org/10.1002/anbr.202100069
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Rattay, F., & Tafvici, P. (2021). Blockage of pain by electrical spinal cord stimulation. Minerva Medica. https://doi.org/10.23736/s0026-4806.21.07588-1
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Rieder, A., Sayas, F.-J., & Melenk, J. M. (2021). Runge-Kutta approximation for C₀-semigroups in the graph norm with applications to time domain boundary integral equations. Partial Differential Equations and Applications, 1(6), Article 49. https://doi.org/10.1007/s42985-020-00051-x
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Rippinger, C., Bicher, M., Urach, C., Brunmeir, D., Weibrecht, N., Zauner, G., Sroczynski, G., Jahn, B., Mühlberger, N., Siebert, U., & Popper, N. (2021). Evaluation of undetected cases during the COVID-19 epidemic in Austria. BMC Infectious Diseases, 21(70). https://doi.org/10.1186/s12879-020-05737-6
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Sajedi, S., Fellner, A., Werginz, P., & Rattay, F. (2021). Block phenomena during electric micro-stimulation in pyramidal cells and retinal ganglion cells. Frontiers in Cellular Neuroscience, 15. https://doi.org/10.3389/fncel.2021.771600
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Schöbinger, M., & Hollaus, K. (2021). A Hierarchical Error Estimator for the MSFEM for the Eddy Current Problem in 3D. IEEE Transactions on Magnetics, 57(5), 1–5. https://doi.org/10.1109/tmag.2021.3062041
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Schöbinger, M., Schöberl, J., & Hollaus, K. (2021). An Equilibrated Error Estimator for the Multiscale Finite Element Method of a 2-D Eddy Current Problem. IEEE Transactions on Magnetics, 57(6), 1–4. https://doi.org/10.1109/tmag.2021.3065732
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Schöbinger, M., Tsukerman, I., & Hollaus, K. (2021). Effective Medium Transformation: The Case of Eddy Currents in Laminated Iron Cores. IEEE Transactions on Magnetics, 57(11). https://doi.org/10.1109/tmag.2021.3111478
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Taghvafard, H., Jardón-Kojakhmetov, H., Szmolyan, P., & Cao, M. (2021). Geometric analysis of oscillations in the Frzilator model. Journal of Mathematical Analysis and Applications, 495(1), Article 124725. https://doi.org/10.1016/j.jmaa.2020.124725
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Uldall Kristiansen, K., & Szmolyan, P. (2021). Relaxation oscillations in substrate-depletion oscillators close to the nonsmooth limit. Nonlinearity, 34(2), 1030–1083. https://doi.org/10.1088/1361-6544/abb542
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Weibrecht, N., Rößler, M., Bicher, M., Emrich, Š., Zauner, G., & Popper, N. (2021). How an election can be safely planned and conducted during a pandemic: Decision support based on a discrete event model. PLoS ONE, 16(12), Article e0261016. https://doi.org/10.1371/journal.pone.0261016
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Bonizzoni, F., Braukhoff, M. H., Jüngel, A., & Perugia, I. (2020). A structure-preserving discontinuous Galerkin scheme for the Fisher–KPP equation. Numerische Mathematik, 146, 119–157. https://doi.org/10.1007/s00211-020-01136-w
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Potrusil, T., Heshmat, A., Sajedi, S. S., Wenger, C., Chacko, L. J., Glueckert, R., Schrott-Fischer, A., & Rattay, F. (2020). Finite element analysis and three-dimensional reconstruction of tonotopically aligned human auditory fiber pathways: A computational environment for modeling electrical stimulation by a cochlear implant based on micro-CT. Hearing Research, 393, Article 108001. https://doi.org/10.1016/j.heares.2020.108001
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Lederer, P. L., Lehrenfeld, C., & Schöberl, J. (2020). Divergence-free tangential finite element methods for incompressible flows on surfaces. International Journal for Numerical Methods in Engineering, 121(11), 2503–2533. https://doi.org/10.1002/nme.6317
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Hollaus, K., & Schöbinger, M. (2020). A Mixed Multiscale FEM for the Eddy-Current Problem With T, Φ-Φ in Laminated Conducting Media. IEEE Transactions on Magnetics, 56(4). https://doi.org/10.1109/tmag.2019.2954480
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Daus, E., Gualdani, M. P., & Zamponi, N. (2020). Longtime behavior and weak-strong uniqueness for a nonlocal porous media equation. Journal of Differential Equations, 268(4), 1820–1839. https://doi.org/10.1016/j.jde.2019.09.029
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Erath, C., Gantner, G., & Praetorius, D. (2020). Optimal convergence behavior of adaptive FEM driven by simple (h − h/2)-type error estimators. Computers and Mathematics with Applications, 79(3), 623–642. https://doi.org/10.1016/j.camwa.2019.07.014
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Feischl, M., & Schwab, Ch. (2020). Exponential convergence in H1 of hp-FEM for Gevrey regularity with isotropic singularities. Numerische Mathematik, 144, 323–346. https://doi.org/10.1007/s00211-019-01085-z
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Schöbinger, M., Hollaus, K., & Tsukerman, I. (2020). Nonasymptotic Homogenization of Laminated Magnetic Cores. IEEE Transactions on Magnetics, 56(2), Article 7509504. https://doi.org/10.1109/tmag.2019.2943463
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Abbaszadeh, M., Dehghan, M., Khodadadian, A., & Heitzinger, C. (2020). Analysis and application of the interpolating element free Galerkin (IEFG) method to simulate the prevention of groundwater contamination with application in fluid flow. Journal of Computational and Applied Mathematics, 368(112453), 112453. https://doi.org/10.1016/j.cam.2019.112453
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Abbaszadeh, M., Dehghan, M., Khodadadian, A., & Heitzinger, C. (2020). Error analysis of the interpolating element free Galerkin method to solve the non-linear extended Fisher-Kolmogorov equation. Computers and Mathematics with Applications, 80(1), 247–262. https://doi.org/10.1016/j.camwa.2020.03.014
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Abbaszadeh, M., Dehghan, M., Khodadadian, A., Noii, N., Heitzinger, C., & Wick, T. (2020). A reduced-order variational multiscale interpolating element free Galerkin technique based on proper orthogonal decomposition for solving {Navier-Stokes} equations coupled with a heat transfer equation: nonstationary incompressible Boussinesq equations. Journal of Computational Physics, 426(109875), 109875. https://doi.org/10.1016/j.jcp.2020.109875
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Adeli Sadabad, Y., Khodadadian, A., Istadeh, K. H., Hedayati, M., Kalantarinejad, R., & Heitzinger, C. (2020). Frequency dependence of dieletrophoresis fabrication of single-walled carbon nanotube field-effect transistors. Journal of Computational Electronics, 19(4), 1516–1526. https://doi.org/10.1007/s10825-020-01562-x
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Albuquerque, Y. F., Laurain, A., & Sturm, K. (2020). A shape optimization approach for electrical impedance tomography with pointwise measurements. Inverse Problems, 36(9), 095006. https://doi.org/10.1088/1361-6420/ab9f87
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Amodio, P., Budd, C. J., Koch, O., Rottschäfer, V., Settanni, G., & Weinmüller, E. (2020). Near critical, self-similar, blow-up solutions of the generalised Korteweg-de Vries equation: asymptotics and computations. Physica D: Nonlinear Phenomena, 401(132179), 132179. https://doi.org/10.1016/j.physd.2019.132179
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Arnold, A., & Döpfner, K. (2020). Stationary Schrödinger equation in the semi-classical limit: WKB-based scheme coupled to a turning point. Calcolo, 57(3). https://doi.org/10.1007/s10092-019-0349-9
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Arnold, A., Jin, S., & Wöhrer, T. (2020). Sharp decay estimates in local sensitivity analysis for evolution equations with uncertainties: From ODEs to linear kinetic equations. Journal of Differential Equations, 268(3), 1156–1204. https://doi.org/10.1016/j.jde.2019.08.047
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Bachler, M., Sehnert, W., Mikisek, I., Wassertheurer, S., & Mengden, T. (2020). Non-invasive quantification of the effect of device-guided slow breathing with direct feedback to the patient to reduce blood pressure. Physiological Measurement, 41(10), 104002. https://doi.org/10.1088/1361-6579/abb320
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Bicher, M., Winkler, S., & Körner, A. (2020). Modelling a Viennese ballroom: agent-based simulation to investigate complex behaviour. Mathematical and Computer Modelling of Dynamical Systems, 26(2), 169–192. https://doi.org/10.1080/13873954.2020.1727930
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Chambolle, A., Novaga, M., & Pagliari, V. (2020). On the convergence rate of some nonlocal energies. Nonlinear Analysis, 200(112016), 112016. https://doi.org/10.1016/j.na.2020.112016
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Davoli, E., & Di Fratta, G. (2020). Homogenization of Chiral Magnetic Materials: A Mathematical Evidence of Dzyaloshinskii’s Predictions on Helical Structures. Journal of Nonlinear Science, 30(3), 1229–1262. https://doi.org/10.1007/s00332-019-09606-8
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Gopalakrishnan, J., Hochsteger, M., Schöberl, J., & Wintersteiger, C. (2020). An Explicit Mapped Tent Pitching Scheme for Maxwell Equations. In Spectral and High Order Methods for Partial Differential Equations ICOSAHOM 2018 (pp. 359–369). Springer. https://doi.org/10.1007/978-3-030-39647-3_28
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Heshmat, A., Sajedi, S., Johnson Chacko, L., Fischer, N., Schrott-Fischer, A., & Rattay, F. (2020). Dendritic Degeneration of Human Auditory Nerve Fibers and Its Impact on the Spiking Pattern Under Regular Conditions and During Cochlear Implant Stimulation. Frontiers in Neuroscience, 14. https://doi.org/10.3389/fnins.2020.599868
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Khodadadian, A., Noii, N., Parvizi, M., Abbaszadeh, M., Wick, T., & Heitzinger, C. (2020). A Bayesian estimation method for variational phase-field fracture problems. Computational Mechanics, 66(4), 827–849. https://doi.org/10.1007/s00466-020-01876-4
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Khodadadian, A., Parvizi, M., & Heitzinger, C. (2020). An adaptive multilevel Monte-Carlo algorithm for the stochastic drift-diffusion-Poisson system. Computer Methods in Applied Mechanics and Engineering, 368(113163), 113163. https://doi.org/10.1016/j.cma.2020.113163
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Khodadadian, A., Stadlbauer, B., & Heitzinger, C. (2020). Bayesian inversion for nanowire field-effect sensors. Journal of Computational Electronics, 19(1), 147–159. https://doi.org/10.1007/s10825-019-01417-0
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Taghizadeh, L., Karimi, A., & Heitzinger, C. (2020). Uncertainty quantification in epidemiological models for the COVID-19 pandemic. Computers in Biology and Medicine, 125(104011), 104011. https://doi.org/10.1016/j.compbiomed.2020.104011
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Taghizadeh, L., Karimi, A., Presterl, E., & Heitzinger, C. (2020). Bayesian inversion for a biofilm model including quorum sensing. Computers in Biology and Medicine, 117, Article 103582. https://doi.org/10.1016/j.compbiomed.2019.103582
| Bayesian inversion for a biofilm model including quorum sensing at reposiTUm , opens an external URL in a new window
Taghizadeh, L., Karimi, A., Stadlbauer, B., Weninger, W. J., Kaniusas, E., & Heitzinger, C. (2020). Bayesian inversion for electrical-impedance tomography in medical imaging using the nonlinear Poisson-Boltzmann equation. Computer Methods in Applied Mechanics and Engineering, 365(112959), 112959. https://doi.org/10.1016/j.cma.2020.112959
| Bayesian inversion for electrical-impedance tomography in medical imaging using the nonlinear Poisson-Boltzmann equation at reposiTUm , opens an external URL in a new window
Weber, T., Wassertheurer, S., Hametner, B., Mayer, C. C., Moebus, S., Schramm, S., Roggenbuck, U., Lehmann, N., Joeckel, K. H., & Erbel, R. (2020). Additive prognostic value of vascular aging and coronary artery calcium for all-cause mortality in the Heinz Nixdorf Recall Study. European Heart Journal, 41(Supplement_2). https://doi.org/10.1093/ehjci/ehaa946.2824
| Additive prognostic value of vascular aging and coronary artery calcium for all-cause mortality in the Heinz Nixdorf Recall Study at reposiTUm , opens an external URL in a new window
Weber, T., Wassertheurer, S., Middlemiss, J., McEniery, C. M., Hametner, B., Mayer, C. C., Binder, R. K., Feistritzer, H.-J., Klug, G., & Metzler, B. (2020). Validation of a Method to Estimate Stroke Volume from Brachial-cuff Derived Pressure Waveforms. Artery Research, 26(1), 42–47. https://doi.org/10.2991/artres.k.200223.001
| Validation of a Method to Estimate Stroke Volume from Brachial-cuff Derived Pressure Waveforms at reposiTUm , opens an external URL in a new window
Werginz, P., Raghuram, V., & Fried, S. I. (2020). Tailoring of the Axon Initial Segment shapes the conversion of synaptic inputs into spiking output in OFF-alpha T retinal ganglion cells. Science Advances, 6(37). https://doi.org/10.1126/sciadv.abb6642
| Tailoring of the Axon Initial Segment shapes the conversion of synaptic inputs into spiking output in OFF-alpha T retinal ganglion cells at reposiTUm , opens an external URL in a new window
Werginz, P., Raghuram, V., & Fried, S. I. (2020). The relationship between morphological properties and thresholds to extracellular electric stimulation in alpha RGCs. Journal of Neural Engineering, 17(4), Article 045015. https://doi.org/10.1088/1741-2552/abab47
| The relationship between morphological properties and thresholds to extracellular electric stimulation in alpha RGCs at reposiTUm , opens an external URL in a new window
Werginz, P., Wang, B.-Y., Chen, Z. C., & Palanker, D. (2020). On optimal coupling of the “electronic photoreceptors” into the degenerate retina. Journal of Neural Engineering, 17(4), Article 045008. https://doi.org/10.1088/1741-2552/aba0d2
| On optimal coupling of the "electronic photoreceptors" into the degenerate retina at reposiTUm , opens an external URL in a new window

Hollaus, K., & Schöbinger, M. (2019). Air Gap and Edge Effect in the 2-D/1-D Method With the Magnetic Vector Potential A Using MSFEM. IEEE Transactions on Magnetics, 56(1), 1–5. https://doi.org/10.1109/tmag.2019.2949004
| Air Gap and Edge Effect in the 2-D/1-D Method With the Magnetic Vector Potential A Using MSFEM at reposiTUm , opens an external URL in a new window
Jüngel, A., Stefanelli, U., & Trussardi, L. (2019). Two structure-preserving time discretizations for gradient flows. Applied Mathematics and Optimization, 80(3), 733–764. https://doi.org/10.1007/s00245-019-09605-x
| Two structure-preserving time discretizations for gradient flows at reposiTUm , opens an external URL in a new window
Stadlbauer, B., Cossettini, A., Morales Escalante, J. A., Pasterk, D., Scarbolo, P., Taghizadeh, L., Heitzinger, C., & Selmi, L. (2019). Bayesian estimation of physical and geometrical parameters for nanocapacitor array biosensors. Journal of Computational Physics, 397, Article 108874. https://doi.org/10.1016/j.jcp.2019.108874
| Bayesian estimation of physical and geometrical parameters for nanocapacitor array biosensors at reposiTUm , opens an external URL in a new window
Daus, E. S., Jüngel, A., & Tang, B. Q. (2019). Exponential Time Decay of Solutions to Reaction-Cross-Diffusion Systems of Maxwell–Stefan Type. Archive for Rational Mechanics and Analysis, 235(2), 1059–1104. https://doi.org/10.1007/s00205-019-01439-9
| Exponential Time Decay of Solutions to Reaction-Cross-Diffusion Systems of Maxwell–Stefan Type at reposiTUm , opens an external URL in a new window
Schöbinger, M., Steentjes, S., Schöberl, J., Hameyer, K., & Hollaus, K. (2019). MSFEM for the Eddy Current Problem in a Laminated Core Including Hysteresis. IEEE Transactions on Magnetics, 55(8), 1–9. https://doi.org/10.1109/tmag.2019.2907894
| MSFEM for the Eddy Current Problem in a Laminated Core Including Hysteresis at reposiTUm , opens an external URL in a new window
Schroeder, P. W., John, V., Lederer, P. L., Lehrenfeld, C., Lube, G., & Schöberl, J. (2019). On reference solutions and the sensitivity of the 2d Kelvin-Helmholtz instability problem. Computers and Mathematics with Applications, 77(4), 1010–1028. https://doi.org/10.1016/j.camwa.2018.10.030
| On reference solutions and the sensitivity of the 2d Kelvin-Helmholtz instability problem at reposiTUm , opens an external URL in a new window
Brown, B. M., Langer, H., & Tretter, C. (2019). Compressed Resolvents and Reduction of Spectral Problems on Star Graphs. Complex Analysis and Operator Theory. https://doi.org/10.1007/s11785-018-0793-6
| Compressed Resolvents and Reduction of Spectral Problems on Star Graphs at reposiTUm , opens an external URL in a new window
Gambi, J. M., Garcia del Pinto, M. L., Mosser, J., & Weinmüller, E. (2019). Numerical Approach for the Computation of Preliminary Post-Newtonian Corrections for Laser Links in Space. International Journal of Aerospace Engineering, 2019, 1–7. https://doi.org/10.1155/2019/3723018
| Numerical Approach for the Computation of Preliminary Post-Newtonian Corrections for Laser Links in Space at reposiTUm , opens an external URL in a new window
Abbaszadeh, M., Khodadadian, A., Parvizi, M., Dehghan, M., & Heitzinger, C. (2019). A direct meshless local collocation method for solving stochastic Cahn–Hilliard–Cook and stochastic Swift–Hohenberg equations. Engineering Analysis with Boundary Elements, 98, 253–264. https://doi.org/10.1016/j.enganabound.2018.10.021
| A direct meshless local collocation method for solving stochastic Cahn–Hilliard–Cook and stochastic Swift–Hohenberg equations at reposiTUm , opens an external URL in a new window
Achleitner, F., Jüngel, A., & Yamamoto, M. (2019). Large-time asymptotics of a fractional drift-diffusion-Poisson system via the entropy method. Nonlinear Analysis: Theory, Methods and Applications, 179, 270–293. https://doi.org/10.1016/j.na.2018.08.017
| Large-time asymptotics of a fractional drift-diffusion-Poisson system via the entropy method. at reposiTUm , opens an external URL in a new window
Auzinger, W., Březinová, I., Hofstätter, H., Koch, O., & Quell, M. (2019). Practical Splitting Methods for the Adaptive Integration of Nonlinear Evolution Equations. Part II: Comparison of Local Error Estimation and Step-Selection Strategies for Nonlinear Schrödinger and Wave Equations. Computer Physics Communications, 234, 55–71. https://doi.org/10.1016/j.cpc.2018.08.003
| Practical Splitting Methods for the Adaptive Integration of Nonlinear Evolution Equations. Part II: Comparison of Local Error Estimation and Step-Selection Strategies for Nonlinear Schrödinger and Wave Equations at reposiTUm , opens an external URL in a new window
Auzinger, W., Hofstätter, H., & Koch, O. (2019). Non-existence of generalized splitting methods with positive coefficients of order higher than four. Applied Mathematics Letters, 97, 48–52. https://doi.org/10.1016/j.aml.2019.05.017
| Non-existence of generalized splitting methods with positive coefficients of order higher than four at reposiTUm , opens an external URL in a new window
Auzinger, W., Hofstätter, H., & Koch, O. (2019). Symmetrized local error estimators for time-reversible one-step methods in nonlinear evolution equations. Journal of Computational and Applied Mathematics, 356, 339–357. https://doi.org/10.1016/j.cam.2019.02.011
| Symmetrized local error estimators for time-reversible one-step methods in nonlinear evolution equations at reposiTUm , opens an external URL in a new window
Auzinger, W., Hofstätter, H., Koch, O., Kropielnicka, K., & Singh, P. (2019). Time adaptive Zassenhaus splittings for the Schrödinger equation in the semiclassical regime. Applied Mathematics and Computation, 362, Article 124550. https://doi.org/10.1016/j.amc.2019.06.064
| Time adaptive Zassenhaus splittings for the Schrödinger equation in the semiclassical regime at reposiTUm , opens an external URL in a new window
Auzinger, W., Hofstätter, H., Koch, O., Quell, M., & Thalhammer, M. (2019). A Posteriori Error Estimation for Magnus-Type Integrators. ESAIM: Mathematical Modelling and Numerical Analysis, 53(1), 197–218. https://doi.org/10.1051/m2an/2018050
| A Posteriori Error Estimation for Magnus-Type Integrators at reposiTUm , opens an external URL in a new window
Banjai, L., Melenk, J. M., Nochetto, R. H., Otárola, E., Salgado, A. J., & Schwab, C. (2019). Tensor FEM for spectral fractional diffusion. Foundations of Computational Mathematics, 19(4), 901–962. https://doi.org/10.1007/s10208-018-9402-3
| Tensor FEM for spectral fractional diffusion at reposiTUm , opens an external URL in a new window
Baranov, A., & Woracek, H. (2019). Stability of order and type under perturbation of the spectral measure. Revista Matemática Iberoamericana, 35(4), 963–1026. https://doi.org/10.4171/rmi/1076
| Stability of order and type under perturbation of the spectral measure at reposiTUm , opens an external URL in a new window
Bespalov, A., Betcke, T., Haberl, A., & Praetorius, D. (2019). Adaptive BEM with optimal convergence rates for the Helmholtz equation. Computer Methods in Applied Mechanics and Engineering, 346, 260–287. https://doi.org/10.1016/j.cma.2018.12.006
| Adaptive BEM with optimal convergence rates for the Helmholtz equation at reposiTUm , opens an external URL in a new window
Bespalov, A., Praetorius, D., Rocchi, L., & Ruggeri, M. (2019). Convergence of adaptive stochastic Galerkin FEM. SIAM Journal on Numerical Analysis, 57(5), 2359–2382. https://doi.org/10.1137/18m1229560
| Convergence of adaptive stochastic Galerkin FEM at reposiTUm , opens an external URL in a new window
Bespalov, A., Praetorius, D., Rocchi, L., & Ruggeri, M. (2019). Goal-oriented error estimation and adaptivity for elliptic PDEs with parametric or uncertain inputs. Computer Methods in Applied Mechanics and Engineering, 345, 951–982. https://doi.org/10.1016/j.cma.2018.10.041
| Goal-oriented error estimation and adaptivity for elliptic PDEs with parametric or uncertain inputs at reposiTUm , opens an external URL in a new window
Betcke, T., Haberl, A., & Praetorius, D. (2019). Adaptive boundary element methods for the computation of the electrostatic capacity on complex polyhedra. Journal of Computational Physics, 397, Article 108837. https://doi.org/10.1016/j.jcp.2019.07.036
| Adaptive boundary element methods for the computation of the electrostatic capacity on complex polyhedra at reposiTUm , opens an external URL in a new window
Blankrot, B., & Heitzinger, C. (2019). Design of aperiodic demultiplexers and optical diodes by optimizing photonic crystals. OSA Continuum, 2(7), 2244. https://doi.org/10.1364/osac.2.002244
| Design of aperiodic demultiplexers and optical diodes by optimizing photonic crystals at reposiTUm , opens an external URL in a new window
Carillo, J. A., Jüngel, A., & Santos, M. C. (2019). Displacement convexity for the entropy in semidiscrete nonlinear Fokker-Planck-equations. European Journal of Applied Mathematics, 30, 3792–3820.
| Displacement convexity for the entropy in semidiscrete nonlinear Fokker-Planck-equations at reposiTUm , opens an external URL in a new window
Chen, L., Daus, E. S., & Jüngel, A. (2019). Rigorous mean-field limit and cross-diffusion. ZEITSCHRIFT FUR ANGEWANDTE MATHEMATIK UND PHYSIK, 70(122). https://doi.org/10.1007/s00033-019-1170-7
| Rigorous mean-field limit and cross-diffusion at reposiTUm , opens an external URL in a new window
Chen, X., & Jüngel, A. (2019). Global renormalized solutions to reaction-cross-diffusion systems with self-diffusion. Journal of Differential Equations, 267(10), 5901–5937. https://doi.org/10.1016/j.jde.2019.06.010
| Global renormalized solutions to reaction-cross-diffusion systems with self-diffusion at reposiTUm , opens an external URL in a new window
Chen, X., & Jüngel, A. (2019). Weak-strong uniqueness of renormalized solutions to reaction-cross-diffusion systems. MATHEMATICAL MODELS & METHODS IN APPLIED SCIENCES, 29(02), 237–270. https://doi.org/10.1142/s0218202519500088
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Cornel, D., Buttinger-Kreuzhuber, A., Konev, A., Horváth, Z., Wimmer, M., Heidrich, R., & Waser, J. (2019). Interactive Visualization of Flood and Heavy Rain Simulations. In Computer Graphics Forum (pp. 25–39). Computer Graphics Forum.
| Interactive Visualization of Flood and Heavy Rain Simulations at reposiTUm , opens an external URL in a new window
Daus, E. S., & Tang, B. Q. (2019). Trend to equilibrium of renormalized solutions to reaction-cross-diffusion systems. Applied Mathematics Letters, 88, 81–89. https://doi.org/10.1016/j.aml.2018.08.011
| Trend to equilibrium of renormalized solutions to reaction-cross-diffusion systems at reposiTUm , opens an external URL in a new window
Daus, E. S., Desvillettes, L., & Dietert, H. (2019). About the entropic structure of detailed balanced multi-species cross-diffusion systems. Journal of Differential Equations, 266(7), 3861–3882. https://doi.org/10.1016/j.jde.2018.09.020
| About the entropic structure of detailed balanced multi-species cross-diffusion systems at reposiTUm , opens an external URL in a new window
Daus, E. S., Milišić, P., & Zamponi, N. (2019). Analysis of a degenerate and singular volume-filling cross-diffusion system modeling biofilm growth. SIAM Journal on Mathematical Analysis, 51(4), 3569–3605. https://doi.org/10.1137/18m1185806
| Analysis of a degenerate and singular volume-filling cross-diffusion system modeling biofilm growth at reposiTUm , opens an external URL in a new window
Dehghan, M., Abbaszadeh, M., Khodadadian, A., & Heitzinger, C. (2019). Galerkin proper orthogonal decomposition reduced order method (POD-ROM) for solving the generalized Swif}-Hohenberg equation. International Journal of Numerical Methods for Heat and Fluid Flow, 29(8), 2642–2665. https://doi.org/10.1108/hff-11-2018-0647
| Galerkin proper orthogonal decomposition reduced order method (POD-ROM) for solving the generalized Swif}-Hohenberg equation at reposiTUm , opens an external URL in a new window
Dhariwal, G., Jüngel, A., & Zamponi, N. (2019). Global Martingale solutions for a stochastic population cross-diffusion system. Stochastic Processes and Their Applications, 129(10), 3792–3820. https://doi.org/10.1016/j.spa.2018.11.001
| Global Martingale solutions for a stochastic population cross-diffusion system at reposiTUm , opens an external URL in a new window
Di Fratta, G., Führer, T., Gantner, G., & Praetorius, D. (2019). Adaptive Uzawa algorithm for the Stokes equation. ESAIM: Mathematical Modelling and Numerical Analysis, 53(6), 1841–1870. https://doi.org/10.1051/m2an/2019039
| Adaptive Uzawa algorithm for the Stokes equation at reposiTUm , opens an external URL in a new window
Dick, J., Feischl, M., & Schwab, C. (2019). Improved efficiency of a multi-index FEM for computational uncertainty quantification. SIAM Journal on Numerical Analysis, 57(4), 1744–1769. https://doi.org/10.1137/18m1193700
| Improved efficiency of a multi-index FEM for computational uncertainty quantification at reposiTUm , opens an external URL in a new window
Dlotko, P., Kapidani, B., Pitassi, S., & Specogna, R. (2019). Fake Conductivity or Cohomology: Which to Use When Solving Eddy Current Problems With h -Formulations? IEEE Transactions on Magnetics, 55(6), 1–4. https://doi.org/10.1109/tmag.2019.2906099
| Fake Conductivity or Cohomology: Which to Use When Solving Eddy Current Problems With h -Formulations? at reposiTUm , opens an external URL in a new window
Erath, C., & Praetorius, D. (2019). Adaptive vertex-centered finite volume methods for general second-order linear elliptic PDEs. IMA Journal of Numerical Analysis, 39(2), 983–1008. https://doi.org/10.1093/imanum/dry006
| Adaptive vertex-centered finite volume methods for general second-order linear elliptic PDEs at reposiTUm , opens an external URL in a new window
Erath, C., & Praetorius, D. (2019). Optimal adaptivity for the SUPG finite element method. Computer Methods in Applied Mechanics and Engineering, 353, 308–327. https://doi.org/10.1016/j.cma.2019.05.028
| Optimal adaptivity for the SUPG finite element method at reposiTUm , opens an external URL in a new window
Feischl, M. (2019). Optimality of a standard adaptive finite element method for the Stokes problem. SIAM Journal on Numerical Analysis, 57(3), 1124–1157. https://doi.org/10.1137/17m1153170
| Optimality of a standard adaptive finite element method for the Stokes problem at reposiTUm , opens an external URL in a new window
Fellner, A., Stiennon, I., & Rattay, F. (2019). Analysis of upper threshold mechanisms of spherical neurons during extracellular stimulation. Journal of Neurophysiology, 121(4), 1315–1328. https://doi.org/10.1152/jn.00700.2018
| Analysis of upper threshold mechanisms of spherical neurons during extracellular stimulation at reposiTUm , opens an external URL in a new window
Führer, T., Gantner, G., Praetorius, D., & Schimanko, S. (2019). Optimal additive Schwarz preconditioning for adaptive 2D IGA boundary element methods. Computer Methods in Applied Mechanics and Engineering, 351, 571–598. https://doi.org/10.1016/j.cma.2019.03.038
| Optimal additive Schwarz preconditioning for adaptive 2D IGA boundary element methods at reposiTUm , opens an external URL in a new window
Führer, T., Haberl, A., Praetorius, D., & Schimanko, S. (2019). Adaptive BEM with inexact PCG solver yields almost optimal computational costs. Numerische Mathematik, 141(4), 967–1008. https://doi.org/10.1007/s00211-018-1011-1
| Adaptive BEM with inexact PCG solver yields almost optimal computational costs at reposiTUm , opens an external URL in a new window
Gerstenmayer, A., & Jüngel, A. (2019). Comparison of a finite-element and finite-volume scheme for a degenerate cross-diffusion system for ion transport. Journal of Computational and Applied Mathematics, 35, Article 108. https://doi.org/10.1007/s40314-019-0882-9
| Comparison of a finite-element and finite-volume scheme for a degenerate cross-diffusion system for ion transport at reposiTUm , opens an external URL in a new window
Gopalakrishnan, J., Lederer, P. L., & Schöberl, J. (2019). A mass conserving mixed stress formulation for the Stokes equations. IMA Journal of Numerical Analysis, 40(3), 1838–1874. https://doi.org/10.1093/imanum/drz022
| A mass conserving mixed stress formulation for the Stokes equations at reposiTUm , opens an external URL in a new window
Gopalakrishnan, J., Schöberl, J., & Wintersteiger, C. (2019). An explicit Mapped Tent Pitching scheme for hyperbolic systems. In M. Kaltenbacher, J. M. Melenk, L. Nannen, & F. Toth (Eds.), Proceedings of the 14th International Conference on Mathematical and Numerical Aspects of Wave Propagation (pp. 272–273). Proceedings of the 14th International Conference on Mathematical and Numerical Aspects of Wave Propagation.
| An explicit Mapped Tent Pitching scheme for hyperbolic systems at reposiTUm , opens an external URL in a new window
Hametner, B., Bauer, A., & Wassertheurer, S. (2019). Unveiling the Vascular Mechanisms Behind Long‐Term Effects of Coarctation Treatment Using Pulse Wave Dynamics. Journal of the American Heart Association Cardiovascular and Cerebrovascular Disease, 8(7). https://doi.org/10.1161/jaha.119.012278
| Unveiling the Vascular Mechanisms Behind Long‐Term Effects of Coarctation Treatment Using Pulse Wave Dynamics at reposiTUm , opens an external URL in a new window
Hollaus, K. (2019). A MSFEM to simulate the eddy current problem in laminated iron cores in 3D. COMPEL: The International Journal for Computation and Mathematics in Electrical and Electronic Engineering, 38(5), 1667–1682. https://doi.org/10.1108/compel-12-2018-0538
| A MSFEM to simulate the eddy current problem in laminated iron cores in 3D at reposiTUm , opens an external URL in a new window
Hollaus, K., Schöberl, J., & Schöbinger, M. (2019). MSFEM and MOR to Minimize the Computational Costs of Nonlinear Eddy-Current Problems in Laminated Iron Cores. IEEE Transactions on Magnetics, 56(2), 1–4. https://doi.org/10.1109/tmag.2019.2954392
| MSFEM and MOR to Minimize the Computational Costs of Nonlinear Eddy-Current Problems in Laminated Iron Cores at reposiTUm , opens an external URL in a new window
Hrkac, G., Pfeiler, C.-M., Praetorius, D., Ruggeri, M., Segatti, A., & Stiftner, B. (2019). Convergent tangent plane integrators for the simulation of chiral magnetic skyrmion dynamics. Advances in Computational Mathematics, 45(3), 1329–1368. https://doi.org/10.1007/s10444-019-09667-z
| Convergent tangent plane integrators for the simulation of chiral magnetic skyrmion dynamics at reposiTUm , opens an external URL in a new window
Huo, X., Jüngel, A., & Tzavaras, A. E. (2019). High-friction limits of Euler flows for multicomponent systems. Nonlinearity, 32(8), 2875–2913. https://doi.org/10.1088/1361-6544/ab12a6
| High-friction limits of Euler flows for multicomponent systems at reposiTUm , opens an external URL in a new window
Iuorio, A., Popović, N., & Szmolyan, P. (2019). Singular perturbation analysis of a regularized MEMS mode. SIAM Journal on Applied Dynamical Systems, 18(2), 661–708. https://doi.org/10.1137/18m1197552
| Singular perturbation analysis of a regularized MEMS mode at reposiTUm , opens an external URL in a new window
Jüngel, A., & Leingang, O. (2019). Blow-up of solutions to semi-discrete parabolic-elliptic Keller-Segel models. Discrete and Continuous Dynamical Systems - Series A, 24, 4755–4782.
| Blow-up of solutions to semi-discrete parabolic-elliptic Keller-Segel models at reposiTUm , opens an external URL in a new window
Jüngel, A., & Leingang, O. (2019). Convergence of an implicit Euler Galerkin scheme for Poisson–Maxwell–Stefan systems. Advances in Computational Mathematics, 45(3), 1469–1498. https://doi.org/10.1007/s10444-019-09674-0
| Convergence of an implicit Euler Galerkin scheme for Poisson–Maxwell–Stefan systems at reposiTUm , opens an external URL in a new window
Jüngel, A., & Ptashnyk, M. (2019). Homogenization of degenerate cross-diffusion systems. Journal of Differential Equations, 267(9), 5543–5575. https://doi.org/10.1016/j.jde.2019.05.036
| Homogenization of degenerate cross-diffusion systems at reposiTUm , opens an external URL in a new window
Kapidani, B., & Schöberl, J. (2019). A matrix-free Discontinuous Galerkin method for the time dependent Maxwell equations in open domians. In M. Kaltenbacher, J. M. Melenk, L. Nannen, & F. Toth (Eds.), Proceedings of the 14th International Conference on Mathematical and Numerical Aspects of Wave Propagation (pp. 432–433). Proceedings of the 14th International Conference on Mathematical and Numerical Aspects of Wave Propagation.
| A matrix-free Discontinuous Galerkin method for the time dependent Maxwell equations in open domians at reposiTUm , opens an external URL in a new window
Kapidani, B., Codecasa, L., & Specogna, R. (2019). The Time-Domain Cell Method Is a Coupling of Two Explicit Discontinuous Galerkin Schemes With Continuous Fluxes. IEEE Transactions on Magnetics, 56(1), 1–4. https://doi.org/10.1109/tmag.2019.2952015
| The Time-Domain Cell Method Is a Coupling of Two Explicit Discontinuous Galerkin Schemes With Continuous Fluxes at reposiTUm , opens an external URL in a new window
Kapidani, B., Passarotto, M., & Specogna, R. (2019). Exploiting Cyclic Symmetry in Stream Function-Based Boundary Integral Formulations. IEEE Transactions on Magnetics, 55(6), 1–4. https://doi.org/10.1109/tmag.2018.2889711
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Karkulik, M., & Melenk, J. M. (2019). H-matrix approximability of inverses of discretizations of the fractional Laplacian. Advances in Computational Mathematics, 45(5–6), 2893–2919. https://doi.org/10.1007/s10444-019-09718-5
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Kraus, J., Pfeiler, C.-M., Praetorius, D., Ruggeri, M., & Stiftner, B. (2019). Iterative solution and preconditioning for the tangent plane scheme in computational micromagnetics. Journal of Computational Physics, 398, Article 108866. https://doi.org/10.1016/j.jcp.2019.108866
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Lackner, C., Meng, S., & Monk, P. (2019). Determination of electromagnetic Bloch variety in a medium with frequency-dependent coefficients. Journal of Computational and Applied Mathematics, 358, 359–373. https://doi.org/10.1016/j.cam.2019.03.027
| Determination of electromagnetic Bloch variety in a medium with frequency-dependent coefficients at reposiTUm , opens an external URL in a new window
Lenzi, E. K., Evangelista, L. R., Taghizadeh, L., Pasterk, D., Zola, R. S., Sandev, T., Heitzinger, C., & Petreska, I. (2019). The reliability of Poisson-Nernst-Planck anomalous models for impedance spectroscopy. Communications in Mathematical Sciences, 123(37), 7885–7892. https://doi.org/10.1021/acs.jpcb.9b06263
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Leser, D., Wastian, M., Rößler, M., Landsiedl, M., & Hajrizi, E. (2019). Comparison of Prediction Models for Delays of Freight Trains by Using Data Mining and Machine Learning Methods. Simulation Notes Europe, 29(1), 45–47. https://doi.org/10.11128/sne.29.sn.10467
| Comparison of Prediction Models for Delays of Freight Trains by Using Data Mining and Machine Learning Methods at reposiTUm , opens an external URL in a new window
Marelli, L., Marchiori, G., Bettini, P., Cavazzana, R., Kapidani, B., Grando, L., Marconato, N., Specogna, R., & Voltolina, D. (2019). Optimization of RFX-mod2 gap configuration by estimating the magnetic error fields due to the passive structure currents. Fusion Engineering and Design, 146, 680–683. https://doi.org/10.1016/j.fusengdes.2019.01.054
| Optimization of RFX-mod2 gap configuration by estimating the magnetic error fields due to the passive structure currents at reposiTUm , opens an external URL in a new window
Matschkal, J., Mayer, C. C., Sarafidis, P. A., Lorenz, G., Braunisch, M. C., Guenthner, R., Angermann, S., Steubl, D., Kemmner, S., Bachmann, Q., Hauser, C., Nerl, L., Baumann, M., Mann, J. F., Moog, P., Kuechle, C., Renders, L., Heemann, U., Wassertheurer, S., & Schmaderer, C. (2019). Comparison of 24-hour and Office Pulse Wave Velocity for Prediction of Mortality in Hemodialysis Patients. American Journal of Nephrology, 49(4), 317–327. https://doi.org/10.1159/000499532
| Comparison of 24-hour and Office Pulse Wave Velocity for Prediction of Mortality in Hemodialysis Patients at reposiTUm , opens an external URL in a new window
Mirsian, S., Khodadadian, A., Hedayati, M., Manzour-ol-Ajdad, A., Kalantarinejad, R., & Heitzinger, C. (2019). A new method for selective functionalization of silicon nanowire sensors and Bayesian inversion for its parameters. Biosensors and Bioelectronics, 142(111527), 111527. https://doi.org/10.1016/j.bios.2019.111527
| A new method for selective functionalization of silicon nanowire sensors and Bayesian inversion for its parameters at reposiTUm , opens an external URL in a new window
Nannen, L., Tichy, K., & Wess, M. (2019). Complex Scaled Infinite Elements for Wave Equations in Heterogeneous Open Systems. In M. Kaltenbacher, J. M. Melenk, L. Nannen, & F. Toth (Eds.), Proceedings of the 14th International Conference on Mathematical and Numerical Aspects of Wave Propagation (pp. 520–521). Proceedings of the 14th International Conference on Mathematical and Numerical Aspects of Wave Propagation.
| Complex Scaled Infinite Elements for Wave Equations in Heterogeneous Open Systems at reposiTUm , opens an external URL in a new window
Neunteufel, M., & Schöberl, J. (2019). The Hellan-Herrmann-Johnson Method for Nonlinear Shells. Computers and Structures, 225(106109), 106109. https://doi.org/10.1016/j.compstruc.2019.106109
| The Hellan-Herrmann-Johnson Method for Nonlinear Shells at reposiTUm , opens an external URL in a new window
Pruckner, R., & Woracek, H. (2019). Estimates for order of Nevanlinna matrices and a Berezanskii-type theorem. Proceedings of the Edinburgh Mathematical Society, 149(6), 1637–1661. https://doi.org/10.1017/prm.2018.56
| Estimates for order of Nevanlinna matrices and a Berezanskii-type theorem at reposiTUm , opens an external URL in a new window
Raghuram, V., Werginz, P., & Fried, S. I. (2019). Scaling of the AIS and somatodendritic compartments in α S RGCs. Frontiers in Cellular Neuroscience, 13. https://doi.org/10.3389/fncel.2019.00436
| Scaling of the AIS and somatodendritic compartments in α S RGCs at reposiTUm , opens an external URL in a new window
Rekova, O., Pelzmann, N., Mandl, P., Hoffmann, M., Ecker, H., Körner, A., Bicher, M., & Breitenecker, F. (2019). ARGESIM Benchmark C11 “SCARA Robot”: Comparison of Basic Implementations in EXCEL and MATLAB. SNE Simulation Notes Europe, 29(3), 149–158. https://doi.org/10.11128/sne.29.bne11.10488
| ARGESIM Benchmark C11 'SCARA Robot': Comparison of Basic Implementations in EXCEL and MATLAB at reposiTUm , opens an external URL in a new window
Ryu, S. B., Werginz, P., & Fried, S. I. (2019). Response of mouse visual cortical neurons to electric stimulation. Frontiers in Neuroscience, 13. https://doi.org/10.3389/fnins.2019.00324
| Response of mouse visual cortical neurons to electric stimulation at reposiTUm , opens an external URL in a new window
S. Daus, E., Jin, S., & Liu, L. (2019). Spectral convergence of the stochastic galerkin approximation to the boltzmann equation with multiple scales and large random perturbation in the collision kernel. Kinetic and Related Models, 12(4), 909–922. https://doi.org/10.3934/krm.2019034
| Spectral convergence of the stochastic galerkin approximation to the boltzmann equation with multiple scales and large random perturbation in the collision kernel at reposiTUm , opens an external URL in a new window
Sarafidis, P. A., Loutradis, C., Mayer, C. C., Karpetas, A., Pagkopoulou, E., Bikos, A., Faitatzidou, D., Wassertheurer, S., Schmaderer, C., Liakopoulos, V., Papagianni, A., & London, G. (2019). Weak within-individual association of blood pressure and pulse wave velocity in hemodialysis is related to adverse outcomes. Journal of Hypertension, 37(11), 2200–2208. https://doi.org/10.1097/hjh.0000000000002153
| Weak within-individual association of blood pressure and pulse wave velocity in hemodialysis is related to adverse outcomes at reposiTUm , opens an external URL in a new window
Schöbinger, M., Schöberl, J., & Hollaus, K. (2019). Multiscale FEM for the Linear 2-D/1-D Problem of Eddy Currents in Thin Iron Sheets. IEEE Transactions on Magnetics, 55(1), 1–12. https://doi.org/10.1109/tmag.2018.2879030
| Multiscale FEM for the Linear 2-D/1-D Problem of Eddy Currents in Thin Iron Sheets at reposiTUm , opens an external URL in a new window
Stockinger, A. E., Gütl, E., Rath, S. A., Strasser, D., Bicher, M., Körner, A., & Ecker, H. (2019). Direct Implementation of ARGESIM Benchmark C7 “Constrained Pendulum” in MATLAB and EXCEL. SNE Simulation Notes Europe, 29(2), 105–110. https://doi.org/10.11128/sne.29.bne07.10478
| Direct Implementation of ARGESIM Benchmark C7 'Constrained Pendulum' in MATLAB and EXCEL at reposiTUm , opens an external URL in a new window
Taghizadeh, L., & Heitzinger, C. (2019). Existence and local uniqueness for the Stokes-Nernst-Planck-drift-diffusion-Poisson system modeling nanopore and nanowire sensors. Communications in Mathematical Sciences, 17(8), 2089–2112. https://doi.org/10.4310/cms.2019.v17.n8.a2
| Existence and local uniqueness for the Stokes-Nernst-Planck-drift-diffusion-Poisson system modeling nanopore and nanowire sensors at reposiTUm , opens an external URL in a new window
Taus, M., Zepeda-Núnez, L., Hewett, R. J., & Demanent, L. (2019). L-Sweeps: a scalable parallel preconditioner for the high-frequency Helmholtz equation. In M. Kaltenbacher, J. M. Melenk, L. Nannen, & F. Toth (Eds.), Proceedings of the 14th International Conference on Mathematical and Numerical Aspects of Wave Propagation (pp. 250–251). Proceedings of the 14th International Conference on Mathematical and Numerical Aspects of Wave Propagation.
| L-Sweeps: a scalable parallel preconditioner for the high-frequency Helmholtz equation at reposiTUm , opens an external URL in a new window
Tung, M. M., & Weinmüller, E. B. (2019). Acoustic Metamaterial Models on the (2+1)D Schwarzschild Plane. Journal of Computational and Applied Mathematics, 346, 162–170. https://doi.org/10.1016/j.cam.2018.07.009
| Acoustic Metamaterial Models on the (2+1)D Schwarzschild Plane at reposiTUm , opens an external URL in a new window
Wutzl, B., Leibnitz, K., Rattay, F., Kronbichler, M., Murata, M., & Golaszewski, S. M. (2019). Genetic algorithms for feature selection when classifying severe chronic disorders of consciousness. PLoS ONE, 14(7), e0219683. https://doi.org/10.1371/journal.pone.0219683
| Genetic algorithms for feature selection when classifying severe chronic disorders of consciousness at reposiTUm , opens an external URL in a new window
Zauner, G., Urach, C., Bicher, M., Popper, N., & Endel, F. (2019). Microscopic modelling of international (re-)hospitalisation effects in the CEPHOS-LINK setting. International Journal of Simulation and Process Modelling, 14(3), 261. https://doi.org/10.1504/ijspm.2019.101012
| Microscopic modelling of international (re-)hospitalisation effects in the CEPHOS-LINK setting at reposiTUm , opens an external URL in a new window

At the Institute of Analysis and Scientific Computing, over 60 scientists in more than 15 research groups are working on problems in pure and applied mathematics. Most of our research topics are from the TU Wien's focal areas of research in Computational Science and Engineering as well as Quantum Physics and Quantum Technologies. For us it is paramount to further development mathematics and its appliance.

Projects

Currently, around 25 projects with a total funding volume of more than € 13 Mio are running at the Institute of Analysis and Scientific Computing, funded by various organisations, including FWF, WWTF, AIT, EU, and Siemens.

We have put together a list of all our current projects.

In particular, we would like to highlight the following projects:

Elise-Richter Project "Computational Uncertainty Quantification in Nanotechnology" by Dr. Leila TAGHIZADEH
FWF START Project "Tunable materials: geometry, nonlocality, chirality" by Prof. Elisa DAVOLI
ERC Starting Grant "Stochastic PDEs and renormalisation" by Prof. Mate GERENCSER
ERC Consolidator Grant „New Frontiers in Optimal Adaptivity“ by Prof. Michael FEISCHL
ERC Advanced Grant "Emerging Network Structures and Neuromorphic Applications" by Prof. Ansgar JÜNGEL

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Staff
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Teaching
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Name	Purpose	Lifetime	Type	Provider
CookieConsent	Saves your settings for the use of cookies on this website.	1 year	HTML	Homepage TU Wien
SimpleSAML	This is needed to distinguish between the sessions of the logged-in users.	session	HTTP	Login TU Wien
SimpleSAMLAuthToken	This is needed to distinguish between the sessions of the logged-in users.	session	HTTP	Login TU Wien
fe_typo_user	Is needed so that in case of a Typo3 frontend login the session ID is recognized to grant access to protected areas.	session	HTTP	Homepage TU Wien
staticfilecache	Is needed to optimize the delivery time of the website.	session	HTTP	Homepage TU Wien
JESSIONSID	Is needed so that in case of a LectureTube the session ID is recognized to grant access to protected areas.	session	HTTP	LectureTube TU Wien
_shibsession_lecturetube	This is needed to distinguish between the sessions of the logged-in users.	session	HTTP	LectureTube TU Wien

Name	Purpose	Lifetime	Type	Provider
_pk_id	Used to store a few details about the user such as the unique visitor ID.	13 months	HTML	Matomo TU Wien
_pk_ref	Is used to store the information of the users home website.	6 months	HTML	Matomo TU Wien
_pk_ses	Is needed to store temporary data of the visit.	30 minutes	HTML	Matomo TU Wien
nmstat	Is used to record the behaviour on the website. It is used to collect statistics about website usage, such as when the visitor last visited the website. The cookie does not contain any personal data and is only used for website analysis.	1000 days	HTML	Siteimprove
siteimproveses	Is used to track the sequence of pages that a visitor views during his/her visit to the website. The cookie does not contain any personal data and is used solely for website analysis.	session	HTTP	Siteimprove
AWSELB	Always occurs in pairs with siteimproveses (for load balancing on the provider server)	session	HTTP	Siteimprove

Name	Purpose	Lifetime	Type	Provider
_ga	Is needed to distinguish the sessions of the users from each other.	persistent	HTTP	Google Analytics
_gali	Is needed to determine which links are clicked on a page.	expires immediately	HTTP	Google Analytics
_gat	This is a function-related cookie, whose tasks may differ.	2 years	HTTP	Google Analytics
_gid	Is needed to distinguish users and create statistics.	24 hours	HTTP	Google Analytics
_gads	Required to enable websites to display advertising from Google, including personalized advertising.	13 months	HTTP	Google Analytics
_gac_	Required by advertisers to measure user activity and the performance of their advertising campaigns.	90 days	HTTP	Google Analytics
_gcl_	Required by advertisers to determine how often users who click on their ads end up taking an action on their website.	90 days	HTTP	Google Analytics
_gcl_au	Contains a randomly generated user ID.	90 days	HTTP	Google
_gcl_aw	Is set when users click on a Google ad on the website and contains information about which ad was clicked.	90 days	HTTP	Google
__utma	Is used to record visits and visitors.	2 years	HTTP	Google Analytics
__utmb	Is used to detect new visits.	30 minutes	HTTP	Google Analytics
__utmc	Is used in connection with __utmb to determine whether it is a new (recent) visit.	session	HTTP	Google Analytics
__utmd	Is used to store and track visitor journeys through the site and classifies them into groups (marketing/tracking).	1 second	HTTP	Google Analytics
__utmt	Is needed to limit the query rate on Google Analytics.	10 minutes	HTTP	Google Analytics
__utmz	Is needed to determine from which source/campaign visitors come.	6 months	HTTP	Google Analytics
__utmvc	Is needed to collect information about user behavior on multiple websites. This information is used to optimize the relevance of advertising on the website.	24 hours	HTTP	Google AdSense
utm_source	Is needed to tag URLs with parameters to identify the campaigns that forward traffic.	expires immediately	HTTP	Google Analytics
__utm.gif	Is needed to save browser details.	session	HTTP	Google Analytics
gtag	Is needed to perform remarketing.	30 days	HTTP	Google AdSense
id	Is needed to perform remarketing.	2 years	HTTP	Google AdWords
1P_JAR	Is needed to optimize advertising, provide ads that are relevant to users, improve campaign performance reports, or prevent users from seeing the same ads more than once.	2 years	HTTP	Google
AID	Is needed to activate targeted advertising.	2 years	HTTP	Google Analytics
ANID	Is needed to display Google ads on non-Google websites.	2 years	HTTP	Google AdSense
APISID	Unknown functionality	2 years	HTTP	Google Ads Optimization
AR	Is needed to profile visitors' interests and display relevant ads on other websites. This cookie works by uniquely identifying your browser and device.	2 years	HTTP	Google AdSense
CONSENT	Is needed to store the preferences of visitors and personalize advertising.	persistent	HTTP	Google
DSID	Is needed by DoubleClick for advertising displayed in various places on the web and used to store the preferences of users.	2 years	HTTP	Doubleclick
DV	Is needed to store user preferences and other information. This includes, in particular, the preferred language, the number of search results to be displayed on the page, and the decision whether or not to activate the Google SafeSearch filter.	2 years	HTTP	Google
HSID	Contains the Google account ID and the last login time of the user.	2 years	HTTP	Google
IDE	Is needed by DoubleClick to record and report the actions of users on the website after viewing or clicking on one of the provider's ads, with the purpose of measuring the effectiveness of an advertisement and displaying targeted advertisements to users.	2 years	HTTP	Doubleclick
LOGIN_INFO	Is used to store the credentials of users of Google services.	2 years	HTTP	Google
NID	Is used to store information about user settings.	6 months	HTTP	Google
OTZ	Is needed to link activities of visitors with other devices that are previously logged in via the Google account. In this way, advertising is tailored to different devices.	1 month	HTTP	Google
RUL	Is needed by DoubleClick to determine whether advertising has been displayed correctly in order to make marketing activities more efficient.	1 year	HTTP	Doubleclick
SAPISID	Is needed by YouTube to store user settings and to calculate user bandwidth.	persistent	HTTP	Google
SEARCH_SAMESITE	Enables servers to mitigate the risk of CSRF and information leakage attacks by specifying that a particular cookie may only be sent on requests originating from the same registerable domain.	6 months	HTTP	Google
SID	Contains the Google account ID and the last login time of the user.	2 years	HTTP	Google
SIDCC	Is needed to store information about user settings and information for Google Maps.	3 months	HTTP	Google
SSID	Is needed to collect visitor information for videos hosted by YouTube on Google Maps integrated maps.	persistent	HTTP	Google
__SECURE-1PAPISID	Is needed for targeting purposes to create a profile of the interests of website visitors.	2 years	HTTP	Google
__SECURE-1PSID	Is needed for targeting purposes to create a profile of the interests of website visitors.	2 years	HTTP	Google
__SECURE-3PAPISID	Is needed for targeting purposes to create a profile of the interests of website visitors.	2 years	HTTP	Google
__SECURE-3PSID	Is needed for targeting purposes to create a profile of the interests of website visitors.	2 years	HTTP	Google
__SECURE-3PSIDCC	Is needed for targeting purposes to create a profile of the interests of website visitors.	2 years	HTTP	Google
__SECURE-APISID	Is needed to profile the interests of website visitors in order to display relevant and personalized advertising through retargeting.	8 months	HTTP	Google
__SECURE-HSID	Is needed to secure digitally signed and encrypted data from the unique Google ID and to store the last login time that Google uses to identify visitors, prevent fraudulent use of login data, and protect visitor data from unauthorized parties. This may also be used for targeting purposes to display relevant and personalized advertising content.	8 months	HTTP	Google
__SECURE-SSID	Is needed to store information about how visitors use the site and about the ads they may have seen before visiting the site. Also used to customize ads on Google domains.	8 months	HTTP	Google
test_cookie	Is set as a test to check whether the browser allows cookies to be set. Does not contain any identification features.	15 minutes	HTTP	Google
VISITOR_INFO1_LIVE	Is needed by YouTube to store user settings and to calculate user bandwidth.	6 months	HTTP	Youtube
facebook	Is used to Enable ad delivery or retargeting	90 days	HTTP	Meta (Facebook)
__fb_chat_plugin	Is needed to store and track interactions (marketing/tracking).	persistent	HTTP	Meta (Facebook)
_js_datr	Is needed to save user settings.	2 years	HTTP	Meta (Facebook)
_fbc	Is needed to save the last visit (marketing/tracking).	2 years	HTTP	Meta (Facebook)
fbm	Is needed to store account data (marketing/tracking).	1 year	HTTP	Meta (Facebook)
xs	Is needed to store a unique session ID (marketing/tracking).	1 year	HTTP	Meta (Facebook)
wd	Is needed to log the screen resolution.	1 week	HTTP	Meta (Facebook)
fr	Is needed to serve ads and measure and improve their relevance.	3 months	HTTP	Meta (Facebook)
act	Is needed to store logged in users (marketing/tracking).	90 days	HTTP	Meta (Facebook)
_fbp	Is needed to store and track visits to various websites (marketing/tracking).	3 months	HTTP	Meta (Facebook)
datr	Is needed to identify the browser for security and website integrity purposes, including account recovery and identification of potentially compromised accounts.	2 years	HTTP	Meta (Facebook)
dpr	Is used for analysis purposes. Technical parameters are logged (e.g. aspect ratio and dimensions of the screen) so that Facebook apps can be displayed correctly.	1 week	HTTP	Meta (Facebook)
sb	Is needed to store browser details and security information of the Facebook account.	2 years	HTTP	Meta (Facebook)
dbln	Is needed to store browser details and security information of the Facebook account.	2 years	HTTP	Meta (Facebook)
spin	Is needed for promotional purposes and social campaign reporting.	session	HTTP	Meta (Facebook)
presence	Contains the "chat" status of logged in users.	1 month	HTTP	Meta (Facebook)
cppo	Is needed for statistical purposes.	90 days	HTTP	Meta (Facebook)
locale	Is needed to save the language settings.	session	HTTP	Meta (Facebook)
pl	Required for Facebook Pixel.	2 years	HTTP	Meta (Facebook)
lu	Required for Facebook Pixel.	2 years	HTTP	Meta (Facebook)
c_user	Required for Facebook Pixel.	3 months	HTTP	Meta (Facebook)
bcookie	Is needed to store browser data (marketing/tracking).	2 years	HTTP	LinkedIn
li_oatml	Is needed to identify LinkedIn members outside of LinkedIn for advertising and analytics purposes.	1 month	HTTP	LinkedIn
BizographicsOptOut	Is needed to save privacy settings.	10 years	HTTP	LinkedIn
li_sugr	Is needed to store browser data (marketing/tracking).	3 months	HTTP	LinkedIn
UserMatchHistory	Is needed to provide advertising or retargeting (marketing/tracking).	30 days	HTTP	LinkedIn
linkedin_oauth_	Is needed to provide cross-page functionality.	session	HTTP	LinkedIn
lidc	Is needed to store performed actions on the website (marketing/tracking).	1 day	HTTP	LinkedIn
bscookie	Is needed to store performed actions on the website (marketing/tracking).	2 years	HTTP	LinkedIn
X-LI-IDC	Is needed to provide cross-page functionality (marketing/tracking).	session	HTTP	LinkedIn
AnalyticsSyncHistory	Stores the time when the user was synchronized with the "lms_analytics" cookie.	30 days	HTTP	LinkedIn
lms_ads	Is needed to identify LinkedIn members outside of LinkedIn.	30 days	HTTP	LinkedIn
lms_analytics	Is needed to identify LinkedIn members for analytics purposes.	30 days	HTTP	LinkedIn
li_fat_id	Required for indirect member identification used for conversion tracking, retargeting and analytics.	30 days	HTTP	LinkedIn
U	Is needed to identify the browser.	3 months	HTTP	LinkedIn
_guid	Is needed to identify a LinkedIn member for advertising via Google Ads.	90 days	HTTP	LinkedIn

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