The MathOpt group's main focus is on the application driven development of optimization methods, and their efficient implementation on computers. This comprises nonlinear and integer optimization, as well as optimal control. Uncertainties and machine learning play an important role. A specialization is in numerical algorithms for mixed-integer optimal control. Most of our applications arise from mathematical models in clinical decision support, mobility, and energy.
Our research is embedded in an ERC consolidator grant, the DFG Research Training Group 2297 Mathematical Complexity Reduction, the IMPRS Advanced Methods in Process and Systems Engineering and several DFG, BMBF, and industry funded projects.
Universitätsplatz 2, 02-224
39106 Magdeburg, Germany
phone: +49 391 67 58745
fax: +49 391 67 41171