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Advanced Discretization Methods

Descrizione

COURSE OBJECTIVES

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

 

COURSE 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. The course will be offered online as well to also allow double-degree Master students to enroll.

 

LEARNING METHODS

The course will use lectures, homework and reading assignments.

 

EXAMINATION INFORMATION
The course will be evaluated through homework, midterm and final exams

 

REFERENCES

  • Spectral methods for time-dependent problems implementation, post-processing and error estimates; J. Hesthaven, S. Gottlieb, D. Gottlieb

Persone

 

Pivkin I.

Docente titolare del corso

Informazioni aggiuntive

Semestre
Primaverile
Anno accademico
2021-2022
ECTS
6
Lingua
Inglese
Offerta formativa
Master of Science in Computational Science, Corso a scelta, Corso, 2° anno
Master of Science in Computational Science, Corso a scelta, 1° anno
Dottorato in Scienze informatiche, Corso a scelta, Corso, 1° anno (4 ECTS)
Dottorato in Scienze informatiche, Corso a scelta, Corso, 2° anno (4 ECTS)