Scientific Computing II - Summer 13
- Summer 13
- Prof. Dr. Michael Bader
- Time and Place
- Tuesday 10-12, lecture room MI 02.07.023
First Lecture: Apr 16
- Computational Science and Engineering, 2nd semester
- Wolfgang Eckhardt Philipp Neumann
Monday 10-12, lecture room MI 02.07.023,
First Tutorial: April 22
- repeat exam (written): Oct 14, 10.00-11.30 in lecture hall MI HS 2
- Semesterwochenstunden / ECTS Credits
- 2V + 2Ü / 5 Credits
- Scientific Computing II
- The exam review for the repeat exam will take place on Friday, Oct 25, 15:00-16:00, in the seminar room 02.07.023.
- The repeat exam will take place on Monday, Oct 14, 10:00-11:45, in room 5604.EG.011 (00.04.011, MI Hörsaal 2). All conditions (auxiliary material which is allowed, etc.) will be identical as in the first exam.
- The exam review will take place on Friday, Aug 9, from 12-14 in our seminar room (MI 02.07.023).
- lecture on Tuesday, July 2, will move to Monday, July 1, 12.00-13.30 (room MI 02.07.023): for organizational reasons, the lectures Numerical Programming II and Scientific Computing will be swapped on these two days
- due to the student assembly, the lecture on Tuesday, May 14, is skipped
- due to a short holiday (Whit Monday/Pentecost), lecture and tutorial on May 20/21 will be skipped
- on Mon 27, we will restart with a lecture (which replaces the usual tutorial)
- written exam
- Date: Mon, 14 Oct 2013
- Time: 10:00-11.30
Please make sure to be in the lecture hall by 9:50, as the exam will start precisely at 10.00.
- Place: MI HS 2
- 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)
Please make sure that you are registered for the exam via TUMOnline!
Old exams are available on the websites of the last years (note that this year, the extent of the lecture was extended!):
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
- 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
- William L. Briggs, Van Emden Henson, Steve F. McCormick. A Multigrid Tutorial. Second Edition. SIAM. 2000.
- Ulrich Trottenberg, Cornelis Oosterlee, Anton Schüller. Multigrid. Elsevier, 2001.
- 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.
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/