| Axioms of adaptivity C Carstensen, M Feischl, M Page, D Praetorius Computers & Mathematics with Applications 67 (6), 1195-1253, 2014 | 318 | 2014 |
| Efficient implementation of adaptive P1-FEM in Matlab S Funken, D Praetorius, P Wissgott Computational Methods in Applied Mathematics 11 (4), 460-490, 2011 | 154 | 2011 |
| On 2D Newest Vertex Bisection: Optimality of Mesh-Closure and H 1-Stability of L 2-Projection M Karkulik, D Pavlicek, D Praetorius Constructive Approximation 38, 213-234, 2013 | 125 | 2013 |
| Adaptive FEM with optimal convergence rates for a certain class of nonsymmetric and possibly nonlinear problems M Feischl, T Führer, D Praetorius SIAM Journal on Numerical Analysis 52 (2), 601-625, 2014 | 95 | 2014 |
| Heat-assisted magnetic recording of bit-patterned media beyond 10 Tb/in2 C Vogler, C Abert, F Bruckner, D Suess, D Praetorius Applied Physics Letters 108 (10), 2016 | 93 | 2016 |
| Quasi-optimal convergence rate for an adaptive boundary element method M Feischl, M Karkulik, JM Melenk, D Praetorius SIAM Journal on Numerical Analysis 51 (2), 1327-1348, 2013 | 80 | 2013 |
| Classical FEM-BEM coupling methods: nonlinearities, well-posedness, and adaptivity M Aurada, M Feischl, T Führer, M Karkulik, JM Melenk, D Praetorius Computational Mechanics 51 (4), 399-419, 2013 | 75 | 2013 |
| An abstract analysis of optimal goal-oriented adaptivity M Feischl, D Praetorius, KG Van der Zee SIAM Journal on Numerical Analysis 54 (3), 1423-1448, 2016 | 74 | 2016 |
| Simple a posteriori error estimators for the h-version of the boundary element method S Ferraz-Leite, D Praetorius Computing 83 (4), 135-162, 2008 | 73 | 2008 |
| Averaging techniques for the effective numerical solution of Symm's integral equation of the first kind C Carstensen, D Praetorius SIAM Journal on Scientific Computing 27 (4), 1226-1260, 2006 | 72 | 2006 |
| A three-dimensional spin-diffusion model for micromagnetics C Abert, M Ruggeri, F Bruckner, C Vogler, G Hrkac, D Praetorius, D Suess Scientific reports 5 (1), 14855, 2015 | 70 | 2015 |
| Estimator reduction and convergence of adaptive BEM M Aurada, S Ferraz-Leite, D Praetorius Applied Numerical Mathematics 62 (6), 787-801, 2012 | 64 | 2012 |
| Residual-based a posteriori error estimate for hypersingular equation on surfaces C Carstensen, M Maischak, D Praetorius, EP Stephan Numerische Mathematik 97, 397-425, 2004 | 64 | 2004 |
| Adaptive FEM with coarse initial mesh guarantees optimal convergence rates for compactly perturbed elliptic problems A Bespalov, A Haberl, D Praetorius Computer Methods in Applied Mechanics and Engineering 317, 318-340, 2017 | 63 | 2017 |
| Efficiency and optimality of some weighted-residual error estimator for adaptive 2D boundary element methods M Aurada, M Feischl, T Führer, M Karkulik, D Praetorius Computational Methods in Applied Mathematics 13 (3), 305-332, 2013 | 61 | 2013 |
| Energy norm based a posteriori error estimation for boundary element methods in two dimensions C Erath, S Ferraz-Leite, S Funken, D Praetorius Applied numerical mathematics 59 (11), 2713-2734, 2009 | 55 | 2009 |
| A convergent implicit finite element discretization of the Maxwell–Landau–Lifshitz–Gilbert equation L Baňas, S Bartels, A Prohl SIAM journal on numerical analysis 46 (3), 1399-1422, 2008 | 55 | 2008 |
| Magnetostatics and micromagnetics with physics informed neural networks A Kovacs, L Exl, A Kornell, J Fischbacher, M Hovorka, M Gusenbauer, ... Journal of Magnetism and Magnetic Materials 548, 168951, 2022 | 53 | 2022 |
| Adaptive boundary element methods: a posteriori error estimators, adaptivity, convergence, and implementation M Feischl, T Führer, N Heuer, M Karkulik, D Praetorius Archives of Computational Methods in Engineering 22 (3), 309-389, 2015 | 52 | 2015 |
| Multiscale modeling in micromagnetics: Existence of solutions and numerical integration F Bruckner, D Suess, M Feischl, T Führer, P Goldenits, M Page, ... Mathematical Models and Methods in Applied Sciences 24 (13), 2627-2662, 2014 | 52 | 2014 |
Dieter SuessProfessor for Computational Physics, Physics of Functional Materials, University of ViennaE-mailová adresa ověřena na: univie.ac.at
