福利姬

We aim to incorporate data-driven information to enhance existing optimization models and investigate how deterministic models can be protected against the influence of uncertain data.

The seminars are informal gatherings to exchange research ideas on optimization theory, algorithms, problems and applications. Organised by the Department of Mathematics.

The seminars in Computational Mathematics are organised by the Department of Mathematics.

Applied mathematics is used to study advanced methods for modeling in technology as well as natural and social sciences. The division conducts research in computational mathematics, mathematical statistics and optimization.

On the journey towards sustainability, our contribution is to develop mathematical models and solution methods for practically relevant but computationally challenging problems in scheduling and resource allocation.

Pushing the limits for large-scale discrete optimisation: New mathematics and algorithms for methods used together with Dantzig-Wolfe decomposition.

The seminars are organised by the Department of Mathematics and form part of the seminar series "Seminars in Statistics and Mathematical Statistics". The topic is probability theory, random processes, statistical theory, and applied statistics.

Well-posedness of the governing partial differential equations lead to effective and accurate numerical methods for the analysis of physical processes in science and engineering.

Many pediatric cancer care survivors develop serious cardiovascular complications later in life. The emerging field of computational cardio-oncology leverages advanced data methods to better predict and prevent these complications.

Snow removal in a city is a major undertaking that requires route planning and efficient driving schedules. It is a difficult and complex optimization problem and research is needed to be able to get good solutions.