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Advanced Discretization Methods

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


People

 

Pivkin I.

Course director

Additional information

Semester
Fall
Academic year
2017-2018
ECTS
6
Education
Master of Science in Computational Science, Core course, Lecture, 2nd year

PhD programme of the Faculty of Informatics, Elective course, Lecture, 1st, 2nd and 3rd year