Scientific Computing, Summer 2020
This course provides a deeper knowledge in two important fields of scientific computing:
- molecular dynamics simulations
- particle-based modelling (n-body simulation)
- algorithms for efficient force calculation
- parallelisation
- iterative solution of large sparse systems of linear equations:
- relaxation methods
- multigrid methods
- steepest descent
- conjugate gradient methods
- preconditioning
The course is conceived for students in computer science, mathematics, or some field of science or engineering who already have a certain background in the numerical treatment of (partial) differential equations.
Selected lecture slides
Youtube Playlist of the lecture videos
Written on
May
27th,
2020
by
Anne Reinarz