Scientific Computing Lab - Winter 08: Difference between revisions

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| December 17th || [http://www5.in.tum.de/lehre/praktika/scicomp/ws08/material/09_time_steps.pdf Time and Spatial Discretisation] and supervised project work
| December 17th || [http://www5.in.tum.de/lehre/praktika/scicomp/ws08/material/09_time_steps.pdf Time and Spatial Discretisation] and supervised project work
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|-
| January 7th ||  
| January 7th || [http://www5.in.tum.de/lehre/praktika/scicomp/ws08/material/10_solvers.ppt Solvers for Large Sparse SLEs]<br>[http://www5.in.tum.de/lehre/praktika/scicomp/ws08/material/09_results_ws4.ppt Results Worksheet 4]
[http://www5.in.tum.de/lehre/praktika/scicomp/ws08/material/10_solvers.ppt Solvers for Large Sparse SLEs]<br>[http://www5.in.tum.de/lehre/praktika/scicomp/ws08/material/09_results_ws4.ppt Results Worksheet 4]
|-
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| January 14th || [http://www5.in.tum.de/lehre/praktika/scicomp/ws08/material/11_multigrid.pdf Multigrid Example] and supervised project work  
| January 14th || [http://www5.in.tum.de/lehre/praktika/scicomp/ws08/material/11_multigrid.pdf Multigrid Example] and supervised project work  

Revision as of 10:29, 21 January 2009

Term
Winter 08
Lecturer
Dr. rer. nat. Miriam Mehl,
Bernhard Gatzhammer,
Martin Buchholz
Time and Place
Wednesday, 8:30-10:00, 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}}}



Requirements

basics in linear algebra and differential calculus

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

Literature

Lectures and Lecture Notes

date subjects
Introduction to Matlab

m-file1

m-file2

October 22nd Organisation
ODE -Explicit Discretisation
October 29th Efficiency and supervised project work
November 5th no lecture
November 12th ODEs - Implicit Discretisation
November 19th Newton solver and supervised project work
November 26th Stationary PDEs
Results Worksheet 2
December 3rd Boundary Conditions and supervised project work
December 10th Instationary PDEs
Results Worksheet 3
December 17th Time and Spatial Discretisation and supervised project work
January 7th Solvers for Large Sparse SLEs
Results Worksheet 4
January 14th Multigrid Example and supervised project work
January 21st Adaptive Grids
COMSOL
Results Worksheet 5
January 28th supervised project work
February 4th Concluding Lecture

Worksheets

due to: send your matlab-files per email to Yang Li (liya(at)in.tum.de), Dheevatsa Mudigere (mudigere(at)in.tum.de) and Kaveh Rahnema (rahnema(at)in.tum.de)

personal presentation: slots announced at room ...

Worksheet matlab due to personal presentation
Worksheet 1 November 10th, 4 pm November 11th
Worksheet 2 November 24th, 4 pm November 25th
Worksheet 3 December 8th, 4 pm December 9th
Worksheet 4 December 18th, 4 pm December 19th
Worksheet 5 onedim.m (main program)
multigrid_1d.m
January 19th, 4 pm January 20th
Worksheet 6 February 2nd, 4 pm February 3rd


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