Universität Heidel­berg
Fakultät für Mathematik und Informatik

Institut fur Anfewandte Mathematik

Design of numerical methods and software for

  • large-scale linear and non-linear programming problems
  • nonsmooth optimization problems
  • mixed-integer programming problems
  • parameter estimation in nonlinear dynamic processes
  • optimal design and optimal control of nonlinear dynamic processes including feedback control and real-time optimization
  • robust parameter estimation and design of robust optimal experiments and sampling schemes in nonlinear dynamic processes

Practical applications in biology, chemistry, astrophysics, economical sciences





see also Research
Last update 30.10.2015