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.

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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

Contact

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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