We present a novel approach which aims at high-performance uncertainty
q...
The parallel solution of large scale non-linear programming problems, wh...
We introduce a novel variant of the recursive multilevel trust-region (R...
In this work, we propose a multigrid preconditioner for Jacobian-free
Ne...
Electroanatomical maps are a key tool in the diagnosis and treatment of
...
The personalization of cardiac models is the cornerstone of patient-spec...
In this work, we consider the modeling of inclusions in the material usi...
In electrocardiography, the "classic" inverse problem consists of findin...
Non-linear phase field models are increasingly used for the simulation o...
We propose a novel training method based on nonlinear multilevel minimiz...
We consider two parallel-in-time approaches applied to a (reaction) diff...
Complex geometries as common in industrial applications consist of multi...
We present a new multilevel minimization framework for the training of d...
We present a tailored multigrid method for linear problems stemming from...
We present a novel approach aimed at high-performance uncertainty
quanti...
The simulation of crack initiation and propagation in an elastic materia...
Clustering is a technique for the analysis of datasets obtained by empir...
The reliability of atomistic simulations depends on the quality of the
u...
In this paper we combine the Parareal parallel-in-time method together w...