3 citations · 8 across the 21 of their papers we have counts for
5 papers · 1 filter
Two-level additive Schwarz preconditioners with GDSW coarse spaces for high-order discretizations in 2D
Tommaso Bevilacqua, Axel Klawonn, Martin Lanser +1
Two-level overlapping Schwarz preconditioners with Generalized Dryja-Smith-Widlund (GDSW) and Reduced GDSW (RGDSW) coarse spaces for high-order finite element methods (FEM) and vir…
Parallel Training Using a CNN-DNN Architecture for Accelerated Development of Diagnostic Models
Janine Weber-Hamacher, Astha Jaiswal, Philipp Fervers +8
Artificial intelligence has shown promise in assisting radiologists in imaging-based diagnosis across a wide range of diseases. Efficient training of large deep learning models is…
Mixture of experts surrogate model for the homogenization of open-porous materials
Axel Klawonn, Martin Lanser, Lucas Mager +2
For open-porous materials, incorporating their microstructural properties into mechanical simulations poses a significant challenge for accurately capturing elastic deformation. To…
Learning Adaptive Coarse Spaces Using Transferable Neural Network Models for Linear and Nonlinear Overlapping Domain Decomposition Methods
Axel Klawonn, Martin Lanser, Janine Weber-Hamacher
Domain decomposition methods have been established as efficient and parallel scalable iterative solvers and preconditioners for the solution of large-scale systems arising from the…
Two-level nonlinear Schwarz methods - a parallel implementation with application to nonlinear elasticity and incompressible flow problems
Kyrill Ho, Axel Klawonn, Martin Lanser
Nonlinear Schwarz methods are a type of nonlinear domain decomposition method used as an alternative to Newton's method for solving discretized nonlinear partial differential equat…