Scientific Computation encompasses mathematical modeling, the design of numerical methods and algorithms as well as their implementation for problems from all areas of science and their applications. It also includes basic research on algorithms and complexity on the one hand and the design and implementation of software for scientific problems on the other hand.
Principal aim of the DFG Research Training Group is the development of efficient solution methods in the field of Scientific Computation, guided by different real world problems from science and engineering. In accordance with this aim, all research projects are interdisciplinary, with mathematics and computer science as basic fields, but with a strong component from engineering and the natural sciences.
In contrast to approaches in Scientific Computation where one seeks cooperation either between mathematicians and applied scientists or between computer scientists and applied scientists, the DFG Research Training Group foster close cooperation between all three fields. Thus the whole gamut is covered from the application problem through mathematical modeling and the development of efficient algorithms down to the numerical solution.
The research projects of the DFG Research Training Group are interdisciplinary and fall within the following areas: