Scientific Computing II - Summer 16: Difference between revisions
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| term = Summer 2016 | | term = Summer 2016 | ||
| lecturer = [[Michael Bader|Prof. Dr. Michael Bader]] | | lecturer = [[Michael Bader|Prof. Dr. Michael Bader]] | ||
| timeplace = | | timeplace = Monday 14-16 (MI HS 2); first lecture: Mon, Apr 11 | ||
| 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 = [[Carsten Uphoff, M.Sc.]] <br> time/day t.b.a. <!-- Tuesdays 10-12, lecture room MI 02.07.023 (from Apr 21), <br/>First Tutorial: Apr 17 (Fri, 12-14)--> | | tutorials = [[Carsten Uphoff, M.Sc.]] <br> time/day t.b.a. <!-- Tuesdays 10-12, lecture room MI 02.07.023 (from Apr 21), <br/>First Tutorial: Apr 17 (Fri, 12-14)--> | ||
| exam = written exam, time/day t.b.a. <!-- Fri, Oct 2, 08.30-10.15 (Interim 2) --> | | exam = written exam, time/day t.b.a. <!-- Fri, Oct 2, 08.30-10.15 (Interim 2) --> | ||
| tumonline = [https://campus.tum.de/tumonline/LV.detail?clvnr= | | tumonline = [https://campus.tum.de/tumonline/LV.detail?clvnr=950238630 Scientific Computing II] (still summer 2015!) | ||
}} | }} | ||
Revision as of 16:02, 27 February 2016
- Term
- Summer 2016
- Lecturer
- Prof. Dr. Michael Bader
- Time and Place
- Monday 14-16 (MI HS 2); first lecture: Mon, Apr 11
- Audience
- Computational Science and Engineering, 2nd semester
others: see module description - Tutorials
- Carsten Uphoff, M.Sc.
time/day t.b.a. - Exam
- written exam, time/day t.b.a.
- Semesterwochenstunden / ECTS Credits
- 2V + 2Ü / 5 Credits
- TUMonline
- Scientific Computing II (still summer 2015!)
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.
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. Cambridge University Press, 1995.