Introduction to Scientific Computing II - Summer 12
- Summer 12
- Prof. Dr. Michael Bader
- Time and Place
- Tuesday 8:30-10:00, lecture room MI 02.07.023
First Lecture: April 17
- Computational Science and Engineering, 2nd semester (Module IN2141)
- Wolfgang Eckhardt
lecture room MI 02.07.023, time:
First Tutorial: April 23
- written exam
- Semesterwochenstunden / ECTS Credits
- 2V + 1Ü / 4 Credits
- Scientific Computing II
The review of the exam takes place on Wed., August 8 10-11am, 02.07.023
- written exam
- Date: Wed., 25th July 2012
- Time: 9:00 - 10:30
- Place: MW 2050 (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
- You are not allowed to use any other tools / devices (e.g. electronic dictionaries)
- Topics: everything that was covered in the lectures and tutorials (except the last lecture, on long-range forces, July 17)
Please make sure that you are registered for the exam via TUMOnline!
Old exams are available on the websites of the last years:
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 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/
- 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 (download as PDF). 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.