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Michael Feischl
Michael Feischl
Professor
Verified email at tuwien.ac.at - Homepage
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Cited by
Year
Axioms of adaptivity
C Carstensen, M Feischl, M Page, D Praetorius
Computers & Mathematics with Applications 67 (6), 1195-1253, 2014
3142014
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
922014
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
802013
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
772016
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
742013
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
612013
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
532015
Reliable and efficient a posteriori error estimation for adaptive IGA boundary element methods for weakly-singular integral equations
M Feischl, G Gantner, D Praetorius
Computer Methods in Applied Mechanics and Engineering 290, 362-386, 2015
492015
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
492014
3D FEM–BEM-coupling method to solve magnetostatic Maxwell equations
F Bruckner, C Vogler, M Feischl, D Praetorius, B Bergmair, T Huber, ...
Journal of magnetism and magnetic materials 324 (10), 1862-1866, 2012
482012
Each H1/2–stable projection yields convergence and quasi–optimality of adaptive FEM with inhomogeneous Dirichlet data in Rd
M Aurada, M Feischl, J Kemetmüller, M Page, D Praetorius
ESAIM: Mathematical Modelling and Numerical Analysis 47 (4), 1207-1235, 2013
462013
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
432014
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
422015
Recurrent neural networks as optimal mesh refinement strategies
J Bohn, M Feischl
Computers & Mathematics with Applications 97, 61-76, 2021
382021
Higher-order linearly implicit full discretization of the Landau–Lifshitz–Gilbert equation
G Akrivis, M Feischl, B Kovács, C Lubich
Mathematics of Computation 90 (329), 995-1038, 2021
382021
Fast random field generation with H-matrices
M Feischl, FY Kuo, IH Sloan
Numerische Mathematik 140, 639-676, 2018
382018
Adaptive 2D IGA boundary element methods
M Feischl, G Gantner, A Haberl, D Praetorius
Engineering Analysis with Boundary Elements 62, 141-153, 2016
382016
Local inverse estimates for non-local boundary integral operators
M Aurada, M Feischl, T Führer, M Karkulik, J Melenk, D Praetorius
Mathematics of Computation 86 (308), 2651-2686, 2017
352017
Optimal convergence for adaptive IGA boundary element methods for weakly-singular integral equations
M Feischl, G Gantner, A Haberl, D Praetorius
Numerische Mathematik 136, 147-182, 2017
342017
Convergence and quasi-optimality of adaptive FEM with inhomogeneous Dirichlet data
M Feischl, M Page, D Praetorius
Journal of computational and applied mathematics 255, 481-501, 2014
312014
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