Mathematical optimization is an area of applied mathematics and is occupied with finding the best possible solutions to a wide variety of problems. Often these problems are posed in scenarios which seek to reduce energy usage or costs in production, or to maximize efficiency or profitability in a given process.
The research groups at the TUM are specialized in finding solutions for these and similar optimization problems. They research the theoretical background and develop innovative algorithms which can be efficiently applied in areas such as:
- data analysis
- form optimization
- cognitive robotics
- microchip layout