Scientific Computing II: Introduction to Dynamical Systems
Fall/Winter 2019, Otto-von-Guericke Universität Magdeburg
Lecturer: Christian Lessig
Lectures: Tuesdays, 15:00-17:00, G05-300
Tutorials: Thursdays, 15:00-17:00; G29-426
The course provides the fundamentals to describe the time evolution of ordinary and partial differential equations, e.g. time integrators, the finite element method, and spectral methods.
- See the Vorlesungsverzeichnis for details. Note that the course is cross listed and you can take it as a B.Sc. and M.Sc. student (again see the LSF for the details of the offering). For further questions please get in touch
We will be working with python and the Numpy library
in this course. On Linux you can install it using your package manager. On other operating systems it is convenient to use the Anaconda distribution
which contains all necessary packages. An introduction to python and Numpy can be found here
- J. Kirkwood, Mathematical physics with partial differential equations. 2018.
- G. H. Golub and J. M. Ortega, Scientific computing and differential equations: an introduction to numerical methods. 2014.
- G. Evans, J. M. Blackledge, and P. Yardley, Numerical methods for partial differential equations. Springer, 2000.
- D. F. Griffiths and D. J. Higham, Numerical Methods for Ordinary Differential Equations. London: Springer London, 2010.