Scientific Computing Lab - Winter 10

Term

Winter 10

Lecturer

Dr. rer. nat. Tobias Weinzierl, Janos Benk, M.Sc

Time and Place

Wed 8:30-10:00 am, MI 02.07.023

Audience

Students of Computational Science and Engineering (Master, Module IN2182), compulsory course, first semester

Tutorials

-

Exam

no final exam

Semesterwochenstunden / ECTS Credits

6 SWS (6P) / 10 credits

TUMonline

{{{tumonline}}}

---

Announcements

• October 21: First session

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.

Literature

• MATLAB® - The Language of Technical Computing. http://www.mathworks.com/products/matlab/
• Boyce, DiPrima. Elementary Differential Equations and Boundary Value Problems. Wiley, 1992.
• William L. Briggs, Van Emden Henson, Steve F. McCormick. A Multigrid Tutorial. Second Edition. SIAM. 2000.
• Michael Hanke. Short Introduction to COMSOL Multiphysics. http://www.nada.kth.se/kurser/kth/2D1266/femlabcrash.pdf

Worksheets, Material, and Lecture Notes

due to: send your matlab-files per email to Sarpkan Selcuk (selcuk(at)in.tum.de), Babak Gholami (gholami(at)in.tum.de) and Nima Shahriary (shahriar(at)in.tum.de).

personal presentation: subscribe for slot at room 02.05.058

The personal presentation will be held in room 02.05.033