The Weierstrass Institute engages in project-oriented research in applied mathematics, particularly in applied analysis and applied stochastics. In this way it contributes to the solutions of complex economic, scientific, and technological problems.



Research at WIAS is motivated by specific application situations and pursues the entire problem-solving process from the interdisciplinary modeling to the theoretical mathematical analysis of the model to software development and concrete numerical simulations.


Service to the Community

  • Secretariat of the International Mathematical Union (IMU) »
  • Office of the German Mathematical Society (DMV) »
  • Leibniz Network "Mathematical Modeling and Simulation" »

Mathematical Core Areas

The WIAS is organised in eight research groups specializing in different mathematical techniques and methods. Additional temporary teams are created as the need arises. The core areas of mathematical research are the analysis and numerics of partial differential equations, and stochastics.


Cooperation and Consulting

Modern applied mathematical methods are a fundamental resource and driving force for technological and economic development around the world. The rapid development of computer technology and mathematically based numerical methods are making it possible to numerically simulate ever more complex engineering, medical, economic and environmental problems.

At the WIAS excellent fundamental research is combined with years of experience in cooperating successfully with partners in the widest possible mix of application fields. The institute is therefore a recognized expert in the solution of complex economic, scientific, and technical problems by means of mathematical modeling and numerical simulation.



Wolfgang Koenig at rbb inforadio
Intwerview about Leibniz as a mathemtician.


Upcoming Event
Tuesday, 24.01.2017, 15.00 (WIAS-406)
Seminar Modern Methods in Applied Stochastics and Nonparametric Statistics
P. Pigato, INRIA, Nancy, Frankreich:
Statistical estimation of the oscillating Brownian motion

further events


IT unit manager