Scientific Computing II - Summer 15: Difference between revisions
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| credits = 2V + 2Ü / 5 Credits | | credits = 2V + 2Ü / 5 Credits | ||
| audience = Computational Science and Engineering, 2nd semester <br> others: [https://campus.tum.de/tumonline/WBMODHB.wbShowMHBReadOnly?pKnotenNr=476730&pOrgNr=14189 see module description] | | audience = Computational Science and Engineering, 2nd semester <br> others: [https://campus.tum.de/tumonline/WBMODHB.wbShowMHBReadOnly?pKnotenNr=476730&pOrgNr=14189 see module description] | ||
| tutorials = [[Arash Bakhtiari]] <br> Wednesday 14-16, lecture room MI 00.08.038, <br/>First Tutorial: | | tutorials = [[Arash Bakhtiari]] <br> Wednesday 14-16, lecture room MI 00.08.038, <br/>First Tutorial: Apr 15 | ||
| exam = written exam at end of semester <!--: ''' Tue, Oct 21, 13.30-14.30 ''' at LRZ in room ''' E.2.040 '''--> | | exam = written exam at end of semester <!--: ''' Tue, Oct 21, 13.30-14.30 ''' at LRZ in room ''' E.2.040 '''--> | ||
| tumonline = [https://campus.tum.de/tumonline/LV. | | tumonline = [https://campus.tum.de/tumonline/LV.detail?clvnr=950181823 Scientific Computing II] | ||
}} | }} | ||
Revision as of 12:55, 8 April 2015
- Term
- Summer 2015
- Lecturer
- Prof. Dr. Michael Bader
- Time and Place
- Tuesday 10-12, lecture room MI 00.08.038
First Lecture: Apr 14 - Audience
- Computational Science and Engineering, 2nd semester
others: see module description - Tutorials
- Arash Bakhtiari
Wednesday 14-16, lecture room MI 00.08.038,
First Tutorial: Apr 15 - Exam
- written exam at end of semester
- Semesterwochenstunden / ECTS Credits
- 2V + 2Ü / 5 Credits
- TUMonline
- Scientific Computing II
Contents
This course provides a deeper knowledge in two important fields of scientific computing:
- iterative solution of large sparse systems of linear equations:
- relaxation methods
- multigrid methods
- steepest descent
- conjugate gradient methods
- molecular dynamics simulations
- the physical model
- the mathematical model
- approximations and discretization
- implementational aspects
- parallelisation
- examples of nanofluidic simulations
The course is conceived for students in computer science, mathematics, or some field of science or engineering who already have a certain background in the numerical treatment of (partial) differential equations.
Lecture Notes and Material
All further announcements, worksheets and information can be found on the Moodle-page of this course.
Literature
- William L. Briggs, Van Emden Henson, Steve F. McCormick. A Multigrid Tutorial. Second Edition, SIAM, 2000 (available as eBook in the TUM library)
- Ulrich Trottenberg, Cornelis Oosterlee, Anton Schüller. Multigrid. Elsevier, 2001 (available as eBook in the TUM library)
- J.R. Shewchuk. An Introduction to the Conjugate Gradient Method Without the Agonizing Pain (download as PDF). 1994.
- V. Eijkhout: Introduction to High-Performance Scientific Computing (textbook, available as PDF on the website)
- M. Griebel, S. Knapek, G. Zumbusch, and A. Caglar. Numerical simulation in molecular dynamics. Springer, 2007 (available as eBook in the TUM library)
- M. P. Allen and D. J. Tildesley. Computer Simulation of Liquids. Oxford University Press, 2003.
- D. Frenkel and B. Smith. Understanding Molecular Simulation from Algorithms to Applications. Academic Press (2nd ed.), 2002.
- R. J. Sadus. Molecular Simulation of Fluids; Theory, Algorithms and Object-Orientation. Elsevier, 1999.
- D. Rapaport. The art of molecular dynamics simulation. Camebridge University Press, 1995.
Further Material
Annotated slides for the lecture in summer 2010 /(given by Dr. Tobias Weinzierl) are available from the TeleTeachingTool Lecture Archive
Matlab (together with installation instructions) is available from https://matlab.rbg.tum.de/