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Since 2019, Matheon's application-oriented mathematical research activities are being continued in the framework of the Cluster of Excellence MATH+
www.mathplus.de
The Matheon websites will not be updated anymore.

Mathematics for Key technologies

Climate change, aging populations, growing cities – our society is faced with major challenges, whether it be health care, energy supply, safety and transport infrastructure, or the training of specialists.

Scientific challenges
Advances in key technologies such as biotechnology, micro- and optoelectronics or information and communication technologies, including the visualization of complex correlations, are the driving force behind innovation in these areas.

Though, research and development are confronted with ever-shorter innovation cycles, increasingly complex technological systems and increasing demands on the quality of industrial products.

Matheon-Mathematics opens up new ways
Mathematics is a key factor in making these developments successful in the future. With its approach of application-driven, interdisciplinary and collaborative research, Matheon has been one of the world's leading driving forces in this process for 15 years. For: The Matheon makes mathematics for key technologies.

With its ability to make abstractions, to create flexible models, and to develop simulation and optimization techniques, mathematics opens up new opportunities to master the growing complexity, to react quickly to changing conditions, and to find new ways of solving problems. Thus, mathematics creates value in form of theoretical knowledge, efficient algorithms and optimal solutions. Both, the community and the users in science, business and society benefit from this.

Six forward-looking applications fields
Matheon focuses on six fields of application that address the above-mentioned global challenges and reflect the outstanding competencies of its researchers. The basis for their scientific work are the mathematical fields of optimization and discrete mathematics, numerical analysis and scientific computing as well as applied and stochastic analysis.

Application Fields