Advanced Discretization Methods
At the end of the course, the student will be able to: - use the major concepts and results of spectral methods theory - plan and write computer code
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.
The course will use lectures, homework and reading assignments.
The course will be evaluated through homework, midterm and final exams
- Spectral methods for time-dependent problems implementation, post-processing and error estimates; J. Hesthaven, S. Gottlieb, D. Gottlieb
- Master of Science in Computational Science, Core course, Lecture, 1st year
- PhD programme of the Faculty of Informatics, Elective course, Lecture, 1st year (4 ECTS)
- PhD programme of the Faculty of Informatics, Elective course, Lecture, 2nd year (4 ECTS)