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

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

November 2021

March 2021

July 2019

March 2019


This image shows Bernard Haasdonk
Prof. Dr.

Bernard Haasdonk

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

This image shows Brit Steiner

Brit Steiner

Secretary's Office IANS NMH and NM

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