Numerical Mathematics

Welcome to the Homepage of the Research Group of Prof. Dr. B. Haasdonk:

We investigate and develop efficient and certified surrogate modelling techniques.

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


This image shows Bernard Haasdonk

Bernard Haasdonk

Prof. Dr.

Head of Group Numerical Mathematics

This image shows Brit Steiner

Brit Steiner


Secretary's Office IANS NMH and NM

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