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Software Atelier: Partial Differential Equations

Descrizione

COURSE OBJECTIVES
The main objective of the course is the implementation of finite element and finite difference methods for the solution of partial differential equations (PDEs).

 

COURSE DESCRIPTION
The students will learn how to design an object-oriented code incorporating all the necessary components (mesh, discretization schemes, sparse linear algebra, linear solvers). A particular focus will be put on the efficient implementation in MATLAB exploiting vectorization.

 

LEARNING METHODS
Lectures, laboratories, and homework assignments (including the solution of both analytical and computational problems).

 

EXAMINATION INFORMATION
Oral exam at the end of the semester

 

RECOMMENDED COURSES

  • Introduction to Computational Science
  • Introduction to Partial Differential Equations

 

REFERENCES

  • LeVeque: Finite difference methods
  • Quarteroni: Numerical methods for differential problems

Persone

 

Krause R.

Docente titolare del corso

Informazioni aggiuntive

Semestre
Autunnale
Anno accademico
2021-2022
ECTS
3
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 (2 ECTS)
Dottorato in Scienze informatiche, Corso a scelta, Corso, 2° anno (2 ECTS)