Scientific Computing Lab - Winter 12: Difference between revisions

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Basics in linear algebra and differential calculus are required.
Basics in linear algebra and differential calculus are required.
= Introduction to Matlab =
{| class="wikitable"
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| <b>Slides</b> || <b>Tutorials</b>
|-
| [http://www5.in.tum.de/lehre/praktika/scicomp/ws12/matlab/mprimer.pdf Slides] || [http://www5.in.tum.de/lehre/praktika/scicomp/ws12/matlab/exercises_day1.pdf Worksheet 1]
[http://www5.in.tum.de/lehre/praktika/scicomp/ws12/matlab/exercises_day2.pdf Worksheet 2]
|-
|}


= Timetable, Lecture Notes, and Material =
= Timetable, Lecture Notes, and Material =

Revision as of 16:58, 17 October 2012

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

Worksheet 2


Timetable, Lecture Notes, and Material

Literature


Worksheets, Material, and Lecture Notes

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