Modeling – Analysis – Optimization of discrete, continuous, and stochastic systems
Optimization problems accompany us all the time in our every-day life. For example supermarkets guarantee the supply by optimizing the route of transportation of their goods, electricity providers optimize the supply with electricity, and highways are built in a way such that cars produce as little noise as possible. For this, discrete, stochastic, which means influenced by randomness, and continuous mathematical models are used, which need to be analyzed.
In order to solve such problems, it is often essential to have a multi-perspective view and combine the knowledge of several mathematical sub-disciplines to create synergies. In crossing these borders lies a great innovative potential.
It is the aim of the doc.funds doctoral school and its nine professors from the Departments of Mathematics and Statistics at the University of Klagenfurt to provide PhD students with the mathematical knowledge necessary for understanding and solving challenging mathematical questions, coming from optimization problems in every-day life.
analysis of stochastic systems, optimization: combinatorial, nonlinear, stochastic, regularization and parameter identification, discrete structures: optimization and analysis, dynamical systems: qualitative/numerical analysis, Bayesian spatio-temporal pr
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