Scientific Computing Lab - Winter 14: Difference between revisions

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= Worksheets, Material, and Lecture Notes=
<!--= Worksheets, Material, and Lecture Notes=
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All material can be found on the [https://www.moodle.tum.de/course/view.php?id=11188 Moodle page] of the course.
All material can be found on the [https://www.moodle.tum.de/course/view.php?id=11188 Moodle page] of the course.
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<!--{| class="wikitable"
|-
| <b>Worksheet</b> || <b>Lecture Notes</b> || <b>matlab</b> || <b>due to</b> ||
<b>personal presentation</b>
|-
| [http://www5.in.tum.de/lehre/praktika/scicomp/ws12/material/worksheet1.pdf Worksheet 1] || [http://www5.in.tum.de/lehre/praktika/scicomp/ws12/lecture/02_ode_explicit.pdf ODE explicit] || || 05.11.2012, 6:00 pm || 06.11.2012
|-
| Worksheet 2 [http://www5.in.tum.de/lehre/praktika/scicomp/ws12/material/worksheet2.pdf Worksheet 2]
|| [http://www5.in.tum.de/lehre/praktika/scicomp/ws12/lecture/02_ode_errors.pdf ODE Errors]
[http://www5.in.tum.de/lehre/praktika/scicomp/ws12/lecture/03_ode_implicit.pdf ODE imlicit]
[http://www5.in.tum.de/lehre/praktika/scicomp/ws12/lecture/04_newton_examples.pdf Newton examples]
|| || 19.11.2012, 6:00 pm || 20.11.2012
|-
| Worksheet 3 [http://www5.in.tum.de/lehre/praktika/scicomp/ws12/material/worksheet3.pdf Worksheet 3]
|| [http://www5.in.tum.de/lehre/praktika/scicomp/ws12/lecture/06_pde_stationary.pdf Stationary PDEs]
|| || 03.12.2012, 6:00 pm || 04.12.2012
|-
|-
| Worksheet 4 [http://www5.in.tum.de/lehre/praktika/scicomp/ws12/material/worksheet4.pdf Worksheet 4]
|| [http://www5.in.tum.de/lehre/praktika/scicomp/ws12/lecture/08_pde_instationary.pdf Instationary PDEs]
|| || 17.12.2012, 6:00 pm || 18.12.2012
|-
| Worksheet 5 [http://www5.in.tum.de/lehre/praktika/scicomp/ws12/material/worksheet5.pdf Worksheet 5]
|| [http://www5.in.tum.de/lehre/praktika/scicomp/ws12/lecture/11_Adaptivity&Comsol.pdf Adaptivity & Comsol]
|| || 30.1.2012, 6:00 pm || 31.1.2012
|-
|}-->


[[Category:Teaching]]
[[Category:Teaching]]

Revision as of 13:17, 16 June 2014

Term
Winter 14
Lecturer
Kaveh Rahnema, M.Sc.,
Emily Mo-Hellenbrand, M.Sc., Dipl.-Math. Benjamin Uekermann
Time and Place
see TUMonline
Audience
Students of Computational Science and Engineering, compulsory course, first semester
Tutorials
-
Exam
no final exam
Semesterwochenstunden / ECTS Credits
4 SWS (4P) / 6 credits
TUMonline
t.b.a.



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

Timetable, Lecture Notes, and Material

Literature

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