Scientific Computing Lab - Winter 12
- Term
- Winter 12
- Lecturer
- Dr. rer. nat. Tobias Neckel,
Dipl.-Inf. Atanas Atanasov, Dipl.-Inf. Kristof Unterweger - Time and Place
- TBA, seminar room TBA
- Audience
- Students of Computational Science and Engineering (Master, Module IN2182), compulsory course, first semester
- Tutorials
- -
- Exam
- no final exam
- Semesterwochenstunden / ECTS Credits
- 4 SWS (4P) / 6 credits
- TUMonline
- https://campus.tum.de/tumonline/lv.detail?clvnr=950072545
Announcements
Contents
The lab course gives an application oriented introduction to the following topics:
- explicit and implicit time stepping methods for ordinary differential equations
- numerical methods for stationary and instationary partial differential equations
- solvers for large, sparse systems of linear equations
- adaptivity and adaptively refined discretisation grids
- applications from fluid dynamics and heat transfer
Basics in linear algebra and differential calculus are required.
Introduction to Matlab
| Slides | Tutorials |
| Slides | Worksheet 1 |
Timetable, Lecture Notes, and Material
Literature
- MATLAB® - The Language of Technical Computing. http://www.mathworks.com/products/matlab/
- Boyce, DiPrima. Elementary Differential Equations and Boundary Value Problems. Wiley, 1992.
- Michael Hanke. Short Introduction to COMSOL Multiphysics. http://www.nada.kth.se/kurser/kth/2D1266/femlabcrash.pdf