Scientific Computing Lab - Winter 16: Difference between revisions

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| tumonline = [https://campus.tum.de/tumonline/lv.detail?clvnr=950263781 TUMOnline], [https://www.moodle.tum.de/course/view.php?id=28715 moodle]
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Revision as of 11:47, 2 November 2016

Term
Winter 16
Lecturer
Dr. rer. nat. Tobias Neckel,
Ionut-Gabriel Farcas, M.Sc., Paul Cristian Sarbu, M.Sc. (hons)
Time and Place
see TUMonline or moodle
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
TUMOnline, moodle



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

Literature

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