Scientific Computing Lab - Winter 13

{{Lecture | term = Winter 13 | lecturer = Dr. rer. nat. Tobias Neckel,
Dipl.-Inf. Atanas Atanasov, Dipl.-Inf. Kristof Unterweger, Dipl.-Math. Benjamin Uekermann | timeplace = see TUMonline | credits = 4 SWS (4P) / 6 credits | audience = Students of Computational Science and Engineering (Master, Module IN2182), compulsory course, first semester | exam = no final exam | tutorials = - | tumonline = https://campus.tum.de/tumonline/lv.detail?clvnr=950111925

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 Worksheet 2

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

Worksheets, Material, and Lecture Notes

due to: send your matlab-files per email to Atanas Atanasov (atanasoa(at)in.tum.de) and Kristof Unterweger (unterweg(at)in.tum.de).

personal presentation: subscribe for slot at room 02.05.053

The personal presentation will be held in room 02.05.033

All material can be found on the Moodle page of the course.