Članki z zahtevami za javni dostop - Dirk PraetoriusVeč o tem
Ni na voljo nikjer: 7
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
Zahteve: Austrian Science Fund
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
Zahteve: German Research Foundation
Quasi-optimal convergence rates for adaptive boundary element methods with data approximation, part I: weakly-singular integral equation
M Feischl, T Führer, M Karkulik, JM Melenk, D Praetorius
Calcolo 51, 531-562, 2014
Zahteve: Austrian Science Fund
Energy norm based error estimators for adaptive BEM for hypersingular integral equations
M Aurada, M Feischl, T Führer, M Karkulik, D Praetorius
Applied Numerical Mathematics 95, 15-35, 2015
Zahteve: Austrian Science Fund
Adaptive boundary element methods for optimal convergence of point errors
M Feischl, G Gantner, A Haberl, D Praetorius, T Führer
Numerische Mathematik 132, 541-567, 2016
Zahteve: Austrian Science Fund
Convergence of adaptive 3D BEM for weakly singular integral equations based on isotropic mesh‐refinement
M Karkulik, G Of, D Praetorius
Numerical methods for partial differential equations 29 (6), 2081-2106, 2013
Zahteve: Austrian Science Fund
Stabilisation yields strong convergence of macroscopic magnetisation vectors for micromagnetics without exchange energy
C Carstensen, D Praetorius
Journal of Numerical Mathematics 20 (2), 81-110, 2012
Zahteve: Austrian Science Fund, German Research Foundation
Na voljo nekje: 126
Axioms of adaptivity
C Carstensen, M Feischl, M Page, D Praetorius
Computers & Mathematics with Applications 67 (6), 1195-1253, 2014
Zahteve: Austrian Science Fund
Efficient implementation of adaptive P1-FEM in Matlab
S Funken, D Praetorius, P Wissgott
Computational Methods in Applied Mathematics 11 (4), 460-490, 2011
Zahteve: Austrian Science Fund
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
Zahteve: Austrian Science Fund
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
Zahteve: Austrian Science Fund
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
Zahteve: Austrian Science Fund, Vienna Science and Technology Fund, Austria
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
Zahteve: Austrian Science Fund
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
Zahteve: Austrian Science Fund, UK Engineering and Physical Sciences Research Council
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
Zahteve: Austrian Science Fund
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
Zahteve: Austrian Science Fund, Vienna Science and Technology Fund, Austria
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
Zahteve: Austrian Science Fund
Estimator reduction and convergence of adaptive BEM
M Aurada, S Ferraz-Leite, D Praetorius
Applied Numerical Mathematics 62 (6), 787-801, 2012
Zahteve: Austrian Science Fund
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
Zahteve: Austrian Science Fund
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
Zahteve: Austrian Science Fund
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