Broadly speaking, the group is concerned with the design, implementation, and analysis of algorithms for the solution of real-world problems in science and engineering. To cope with the high requirements of data management, communication, and processing, these problems are typically solved by an interdisciplinary approach bringing together complementary skills from mathematics, computer science, and application domain.

## Topics:

Parallel algorithms, high-performance computing, mathematical software, combinatorial scientific computing, numerical linear algebra, computational science and engineering, data science, automatic differentiation, and non-smooth optimization.

Additional information is given in the following lists: