Scientific Computing I - Winter 11: Difference between revisions
Jump to navigation
Jump to search
No edit summary |
No edit summary |
||
| Line 27: | Line 27: | ||
* October 20: no lecture (SET) | * October 20: no lecture (SET) | ||
* October 27: [http://www5.in.tum.de/lehre/vorlesungen/sci_comp/ws11/slides/01_discipline.pdf Introduction], [http://www.deixismagazine.org/2011/04/a-long-view-of-gulf-oil-spill/ A Real World Application Example] | * October 27: [http://www5.in.tum.de/lehre/vorlesungen/sci_comp/ws11/slides/01_discipline.pdf Introduction], [http://www.deixismagazine.org/2011/04/a-long-view-of-gulf-oil-spill/ A Real World Application Example] | ||
* November 3: | * November 3: [http://www5.in.tum.de/lehre/vorlesungen/sci_comp/ws11/slides/02_fibonacci.pdf Population Modelling - Discrete Models], | ||
* November 10: | * November 10: | ||
* November 24: | * November 24: | ||
* December 1: | * December 1: | ||
* December 8: | * December 8: no lecture, Dies Academicus | ||
* December 15: | * December 15: | ||
* December 22: | * December 22: | ||
Revision as of 12:11, 22 September 2011
- Term
- Winter 11
- Lecturer
- Dr. rer. nat. habil. Miriam Mehl
- Time and Place
- Thursday, 10:00-12:00;
- Audience
- Computational Science and Engineering, 1st semester (Module IN2005)
- Tutorials
- -
- Exam
- written exam
- Semesterwochenstunden / ECTS Credits
- 2 SWS (2V) / 3 Credits
- TUMonline
- {{{tumonline}}}
Announcements
Contents
This course provides an overview of scientific computing, i. e. of the different tasks to be tackled on the way towards powerful numerical simulations. The entire "pipeline" of simulation is discussed:
- mathematical models: derivation, analysis, and classification
- numerical treatment of these models: discretization of (partial) differential systems, grid generation
- efficient implementation of numerical algorithms: implementation on monoprocessors vs. parallel computers (architectural features, parallel programming, load distribution, parallel numerical algorithms)
- interpretation of numerical results & visualization
- validation
The course Scientific Computing 1 is intended for students in the Master's Program Computational Science and Engineering and of the English-language programs of the Department of Computer Science. Students in all other study programs, please consider our lecture Modellbildung und Simulation (see the lecture from summer term 2008, for example), instead.
Lecture Notes and Material
- October 20: no lecture (SET)
- October 27: Introduction, A Real World Application Example
- November 3: Population Modelling - Discrete Models,
- November 10:
- November 24:
- December 1:
- December 8: no lecture, Dies Academicus
- December 15:
- December 22:
- January 12:
- January 19:
- January 26:
- February 2:
- February 9:
Exams
Literature
Books and Papers
- B. DiPrima: Elementary Differential Equations and Boundary Value Problems, Wiley, 1992 (excellent online material)
- A.B. Shiflet and G.W. Shiflet: Introduction to Computational Science, Princeton University Press (in particular Chapter 3,5,6)
- G. Golub and J. M. Ortega: Scientific Computing and Differential Equations, Academic Press (in particular Chapter 1-4,8)
- D. Braess: Finite Elements. Theory, Fast Solvers and Applications in Solid Mechanics, Cambridge University Press (in particular I.1, I.3, I.4, II.2)
- Tveito, Winther: Introduction to Partial Differential Equations - A Computational Approach, Springer, 1998 (in particular Chapter 1-4,7,10)
Online Material
- Website for pre-2005 courses in Scientific Computing (more extensive - several of the topics have moved to other lectures, or are reduced in extent, now); website is accessible from the "Rechnerhalle" or with login/password (contact lecturer)
- Website for the book of A.B. Shiflet and G.W. Shiflet: Introduction to Computational Science
- Maple Computational Toolbox Files: contains an introduction worksheet to Maple plus several worksheets related to CSE, which are covered in this textbook.
- ODE Software for Matlab (website by J.C. Polking, Rice University)