Mathematical Algorithmic Optimization
Mathematical Algorithmic Optimization

The 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 optimization with differential equations. Most of our mathematical models arise from applications in clinical decision support, energy, and mobility.

Our research is embedded in an ERC consolidator grant, the DFG Research Training Group 2297 Mathematical Complexity Reduction, the Excellence Synergy Programme of Sachsen-Anhalt, the IMPRS Advanced Methods in Process and Systems Engineering and several DFG, BMBF, and industry funded projects.

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Prof. Dr. Sebastian Sager
Head of MathOpt group
at the Institute of Mathematical Optimization
at the Faculty of Mathematics
at the Otto-von-Guericke University Magdeburg

Universitätsplatz 2, 02-224
39106 Magdeburg, Germany

: +49 391 67 58745
:

Susanne Heß

Universitätsplatz 2, 02-201
39106 Magdeburg, Germany

: +49 391 67 58756
:

  • currently no upcoming news

...more

Prof. Dr. Sebastian Sager
Head of MathOpt group
at the Institute of Mathematical Optimization
at the Faculty of Mathematics
at the Otto-von-Guericke University Magdeburg

Universitätsplatz 2, 02-224
39106 Magdeburg, Germany

: +49 391 67 58745
:

Susanne Heß

Universitätsplatz 2, 02-201
39106 Magdeburg, Germany

: +49 391 67 58756
: