Advanced Discretization Methods
People
Course director
Description
The course examines the development and analysis of spectral methods for the solution of time-dependent partial differential equations. Topics include key elements of approximation and stability theory for Fourier and polynomial spectral methods, as well as temporal integration and numerical aspects.
REFERENCES
- Spectral methods for time-dependent problems implementation, post-processing and error estimates; J. Hesthaven, S. Gottlieb, D. Gottlieb
The course is not offered in the academic year 2017/18
Education
- Master of Science in Computational Science, Core course, Lecture, 2nd year
- PhD programme of the Faculty of Informatics, Elective course, Lecture