### Scientific Computing II: Introduction to Dynamical Systems

Fall/Winter 2019, Otto-von-Guericke Universität Magdeburg

Details:

Vorlesungsverzeichnis

Lecturer:

Christian Lessig

Lectures: Tuesdays, 15:00-17:00, G05-300

Tutorials: Thursdays, 15:00-17:00; G29-426

*Content:* 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.