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Prof. Dr. Gabriele Eichfelder
Head of the Group of Mathematical Methods of Operations Research
gabriele.eichfelder@tu-ilmenau.de
+49 3677 69-3628 (Secretary: -3625)
Fax: +49 3677 69-3270
Mailing address:
TU Ilmenau
Fakultät MN
PF 10 05 65
98684 Ilmenau
Address for visitors:
Weimarer Str. 25
Curiebau, Room C 237
98693 Ilmenau
The Group for Mathematical Methods in Operations Research is headed by Prof. Gabriele Eichfelder. In her team one employee holding a doctoral degree and two PhD students are currently working on a variety of different topics in the field of mathematical optimization, such as a numerical method for multiobjective bilevel optimization or on set optimization. The team members can be found here.
The Group for Mathematical Methods of Operations Research investigates mathematical programming problems theoretically as well as numerically. The focus is on continuous optimization problems, but also mixed-integer nonlinear problems are studied. The research topics are often motivated by problems from the engineering sciences or from work on industrial projects.
The main research topics are currently the theory of vector and set optimization, numerical methods for vector and set optimization, and thus also of multiobjective optimization, global optimization such as mixed-integer optimization, and optimization problems in applications. Further Information
We offer students a profound and broad education in the field of continuous optimization. This includes introductory courses on the basics of optimization for both students of mathematics as well as students of engineering or computer science, as well as a broad range of advanced and in-depth courses. These cover both more theoretical topics like optimization in infinite-dimensional vector spaces and more numerical topics like algorithmic methods of optimization.
In addition, we offer lectures on the basics of mathematics for business and engineering courses. For us, a high quality of teaching is important, which spans the arc from theoretical principles and scientific approaches to practical application. Further information