4 papers
A Reduced Basis Method for the Stochastic Landau-Lifshitz-Gilbert Equation
Andrea Scaglioni, Michael Feischl, Fernando Henríquez
In this work, we consider the construction of efficient surrogates for the stochastic version of the Landau-Lifshitz-Gilbert (LLG) equation using model order reduction techniques,…
Optimal adaptive implicit time stepping
Michael Feischl, David Niederkofler
We revisit adaptive time stepping, one of the classical topics of numerical analysis and computational engineering. While widely used in application and subject of many theoretical…
Computational Math with Neural Networks is Hard
Michael Feischl, Fabian Zehetgruber
We show that under some widely believed assumptions, there are no higher-order algorithms for basic tasks in computational mathematics such as: Computing integrals with neural netw…
Well-Posedness of Discretizations for Fractional Elasto-Plasticity
Michael Feischl, David Niederkofler, Barbara Wohlmuth
We consider a fractional plasticity model based on linear isotropic and kinematic hardening as well as a standard von-Mises yield function, where the flow rule is replaced by a Rie…