Introduction to Scientific Computing II - Summer 11
- Summer 11
- Dr. rer. nat. habil. Miriam Mehl, Univ.-Prof. Dr. Hans-Joachim Bungartz
- Time and Place
- Tuesday 8:15-10:00, lecture room MI 02.07.023
First Lecture: May 3
- Computational Science and Engineering, 2nd semester (Module IN2141)
- Wolfgang Eckhardt
Monday 9:00-9:45, lecture room MI 02.07.023,
First Tutorial: May 9
- written exam
- Semesterwochenstunden / ECTS Credits
- 2V + 1Ü / 4 Credits
- written exam
- Date: Sat., 6th Aug. 2011
- Time: 15:00 - 16:30
- Place: MW 1050 (Johann-Bauschinger Zeichensaal in the building of mechanical engineering)
- Duration: 90 min.
- auxiliary material allowed:
- one hand-written sheet of paper (Din A4), written on both sides
- a dictionary (paper book)
- You are not allowed to use any other tools / devices (e.g. electronic dictionaries)
Please make sure that you are registered for the exam via TUMOnline!
Old exams are available on the websites of the last years:
The date for the review of the exam is:
- September 6 2011, 15:00
- room: MI 02.07.023
This course provides a deeper knowledge in two important fields of scientific computing:
- solution of large sparse systems of linear equations:
- Gaussian elemination
- relaxation methods
- multigrid methods
- steepest descent
- conjugate gradient methods
- molecular dynamics simulations
- the physical model
- the mathematical model
- approximations and discretization
- implementational aspects
- examples of nanofluidic simulations
The course is conceived for computer scientists, mathematicians, engineers, or natural scientists with already a background in the numerical treatment of (partial) differential equations.
Lecture Notes and Material
Annotated slides are available from the TeleTeachingTool Lecture Archive
|May 03||Slides||May 09||Towards Multigrid
|Code Tutorial |
|May 16||Anisotropic Multigrid
|Code Tutorial: Anisotropic MG |
Fourier Analysis Two Grid Method
|May 23||Steepest Descent / CG||homework 2 solution|
|May 30||Parallel MG / SD / CG|
|homework 3 solution |
|June 13||no tutorial!!|
|June 14||no lecture!||June 20||slides||homework 5 solution|
|June 27||Exercise A
|June 28||July 4||Exercise B
|July 5||Questions||July 11||Exercise C
|July 12||July 18||Exercise D |
- William L. Briggs, Van Emden Henson, Steve F. McCormick. A Multigrid Tutorial. Second Edition. SIAM. 2000.
- J.R. Shewchuk. An Introduction to the Conjugate Gradient Method Without the Agonizing Pain. Edition 1.25. 1994.
- M. Griebel, S. Knapek, G. Zumbusch, and A. Caglar. Numerische Simulation in der Molekulardynamik. Springer, 2004.
- 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 ASpplications. 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.