| Parallel Solution of Large Linear Systems [2019 SoSe] | ||
|---|---|---|
| Code IPLGG |
Name Parallel Solution of Large Linear Systems |
|
| LP 8 LP |
Dauer one semester |
Angebotsturnus at least every 4th semester |
| Format Lecture 4 h + Exercise course 2 h |
Arbeitsaufwand 240 h; thereof 90 h lecture 15 h preparation for exam 135 h self-study and working on assignments/projects (optionally in groups) |
Verwendbarkeit B.Sc. Angewandte Informatik, M.Sc. Angewandte Informatik, M.Sc. Scientific Computing |
| Sprache |
Lehrende |
Prüfungsschema |
| Lernziele | Students understand the abstract concept of subspace correction methods in the context of finite elements. They can apply these concepts in overlapping and non-overlapping domain decomposition methods as well as multigrid methods. Participants master the convergence theory of these methods and are able to implement methods on parallel computers. | |
| Lerninhalte | Abstract subspace correction methods, overlapping Schwarz method, geometric and algebraic multigrid method, non-overlapping domain decomposition methods, convergence theory for subspace correction methods, implementation and parallel scalability |
|
| Teilnahme- voraus- setzungen |
recommended are: object-oriented programming language, differential equations, finite elements | |
| Vergabe der LP und Modulendnote | Successful participation in the exercises and passing the module exam | |
| Nützliche Literatur | ||