This section defines scientific computing as the combined interdisciplinary activity bridging applications, matematical modeling, theory, and the associated numerical algorithms and their implementations, i.e. the science of using computers and mathematics to solve problems from science and engineering

The solution of today’s challenging problems in society and science requires sophisticated mathematical methods and computational algorithms as well as the use of modern computer architectures.

What does the Section do? The Section's expertise includes many of the aspects of Scientific Computing: from the modeling of physical phenomena to developing, analyzing, and implementing methodologies for the solution of real-life problems.

The research in the Scientific Computing focuses on:- Computational mathematics
- Inverse problems
- Mathematical modeling, analysis, and simulation
- Optimization and control
- Computational uncertainty quantification

Examples of applications:

- Oil and gas exploration
- Control and optimization of energy systems
- Insulin control technology
- Tomography and imaging
- Computational structural biology
- Computational marine hydrodynamics

The section is located at The Technical University of Denmark (DTU), building 303B, 1st floor, west wing.