Welcome to the Homepage of the Research Group

Numerical Mathematics

We investigate and develop efficient and certified surrogate modelling techniques.

Open map

In particular we are working on

+-

Reduced basis methods for parametric problems.

Data-based modelling for high-dimensional function approximation, data-analysis, machine learning

Parameter optimization, feedback control, inverse Problems

RBmatlab, KerMor, dune-rb, JaRMoS, CCMOR etc.

(most recent ones) Flow and transport-problems, porous media, heterogeneous domain decomposition problems, biomechanics, elastic multibody systems, soft-tissue-robotics, pervasive computing

Our Networks

                     Soft tissue robotics

 

                        

 

 

News


Contact

Dieses Bild zeigt Haasdonk
Prof. Dr.

Bernard Haasdonk

Head of Group
Dean of Studies (Studiendekan B.Sc./M.Sc. Mathematik)

Dieses Bild zeigt Steiner
 

Brit Steiner

Secretary's Office