Information for master students


Graduating in the numerical analysis group (chair C. Vuik).
In the investigation of physical, biological and economical phenomena numerical mathematics and computer simulations play an important role. As an example, we show a detail of the blood flow near a heart valve (video 1 and video 2).

In order to simulate such phenomena, a mathematical model of the reality is set up. Mathematical research is necessary to validate such a model. For this, results, principles and techniques from mathematical analysis are often used. The model should, of course, be an adequate representation of the reality. The necessary knowledge to judge this may be obtained from mathematical physics (biology, economy). Numerical mathematics is then the basis to solve the mathematical model efficiently and accurately. The solution is typically obtained by a computer simulation.

During a graduation at the chair for numerical analysis, the topics analysis, mathematical physics, linear algebra are treated. Most important is, however, the numerical analysis. The Master's thesis research can take place in a variety of topics in numerical mathematics, for example, in reducing numerical errors (of a problem's discretization, for example), or to improve the efficiency of a solution process, to analyse the convergence behaviour of an iterative solution method, or in parallel computing. The numerical questions always arise from practical applications.

If you would like to graduate in the numerical analysis group, the typical procedure is as follows:

Possibilities for Master projects
At this moment there are a number of Master projects available. It is possible to formulate new projects, where we take wishes of a masters student into account.
  1. Parallel Multiplicative One-Level Schwarz Preconditioners With FROSch and Trilinos (Sandia)
  2. Overlapping Schwarz Domain Decomposition Methods for Implicit Ocean Models (Institute for Marine and Atmospheric Modeling)
  3. Reduced Order Models for Fluid Flow With Generative Adversarial Networks (GANs)
  4. Accurate Hessian computation using smooth finite elements and flux preserving meshes: Solving the shallow water equations in estuaries
  5. Designing freeform optics for multiple source illumination with AI
  6. PDE-based grid generation techniques for industrial applications (City, University of London, PDM Analysis Ltd )
  7. Several projects on image and data analysis are available at the Academisch Borstkankercentrum of Erasmus MC
    Contact: Martin van Gijzen
  8. Coercive Space-Time Boundary Element Methods for the Acoustic Wave Equation
  9. Preconditioning for Scattering by Multi-screens
  10. Improvement of the algorithms of ASA (Advanced Semiconductor Analysis) software
  11. High-order accurate and stable material point method
  12. Efficient simulation of steady two-fluid flow
  13. Stabilized finite element fluid flow modeling with correct energy dissipation
  14. Efficiently solving district heating network problems
  15. Next-Generation Heat Recovery "Non-condensable gas in two-phase dynamic simulation" (NEM Energy B.V.)
  16. Distributed Alternating Current (AC) power flow with limited information
  17. Efficient computation of slamming loads through zonal modeling (HMC)
  18. Double Wake implementation for thick trailing edge wind turbine airfoils (ECN)
  19. Fast Helmholtz solvers for seismic problems (Shell)
  20. Developing a modelling tool for offshore vessels (Mocean offshore)
  21. Solving Integral Equations Faster using GPU's
For further information about these project and graduation at the chair Numerical Analysis we refer to: Kees Vuik Martin van Gijzen
Dr. Neil Budko
Dr. Matthias Moller
Dr. Kristof Cools
Dr. Deepesh Toshniwal
Dr. Carolina Urzua Torres
Dr. Alexander Heinlein
Dr. Jonas Thies Dennis den Ouden

Previous Master projects
Below is a list of previous Master projects

How to deal with computer problems?

Additional information

Contact information: Kees Vuik

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