Introduction to Scientific Computing (winter 2001/2002): Difference between revisions

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* Lesson 1: ''What is Scientific Computing?'' {{pdf|scico_wi01_lesson1.pdf|PDF}} (4932K)
* Lesson 1: ''What is Scientific Computing?'' {{pdf|scico_wi01_lesson1.pdf|PDF}} (4932K)
* Lesson 2: ''Tools: Libraries and Software'' PDF (1404K)
* Lesson 2: ''Tools: Libraries and Software'' {{pdf|scico_wi01_lesson2.pdf|PDF}} (1404K)
* Lesson 3: ''Principles of Mathematical Modelling'' PDF (1544K)
* Lesson 3: ''Principles of Mathematical Modelling'' {{pdf|scico_wi01_lesson3.pdf|PDF}} (1544K)
* Lesson 4: ''Continuous Models 1: ODE'' PDF (952K)
* Lesson 4: ''Continuous Models 1: ODE'' {{pdf|scico_wi01_lesson4.pdf|PDF}} (952K)
* Lesson 5: ''Continuous Models 2: PDE'' PDF (1000K)
* Lesson 5: ''Continuous Models 2: PDE'' {{pdf|scico_wi01_lesson5.pdf|PDF}} (1000K)
* Lesson 6: ''Numerical Treatment of ODE'' PDF (1116K)
* Lesson 6: ''Numerical Treatment of ODE'' {{pdf|scico_wi01_lesson6.pdf|PDF}} (1116K)
* Lesson 7: ''Numerical Treatment of ODE'' PDF (1240K)
* Lesson 7: ''Numerical Treatment of ODE'' {{pdf|scico_wi01_lesson7.pdf|PDF}} (1240K)
* Lesson 8: ''Standard Iterative Solvers of SLE'' PDF (968K)
* Lesson 8: ''Standard Iterative Solvers of SLE'' {{pdf|scico_wi01_lesson8.pdf|PDF}} (968K)
* Lesson 9: ''Fast Iterative Solvers of SLE'' PDF (692K)
* Lesson 9: ''Fast Iterative Solvers of SLE'' {{pdf|scico_wi01_lesson9.pdf|PDF}} (692K)
* Lesson 10: ''Implementation: Target Architectures'' PDF (908K)
* Lesson 10: ''Implementation: Target Architectures'' {{pdf|scico_wi01_lesson10.pdf|PDF}} (908K)
* Lesson 11: ''Implementation: Parallelization'' PDF (832K)
* Lesson 11: ''Implementation: Parallelization'' {{pdf|scico_wi01_lesson11.pdf|PDF}} (832K)
* Lesson 12: ''Grid Generation and Refinement'' PDF (836K)
* Lesson 12: ''Grid Generation and Refinement'' {{pdf|scico_wi01_lesson12.pdf|PDF}} (836K)
* Lesson 13: ''Interpreting the Results: Visualization'' PDF (728K)
* Lesson 13: ''Interpreting the Results: Visualization'' {{pdf|scico_wi01_lesson13.pdf|PDF}} (728K)
* Lesson 14: ''Case Study: CFD'' PDF (660K)
* Lesson 14: ''Case Study: CFD'' {{pdf|scico_wi01_lesson14.pdf|PDF}} (660K)


[[Category:Teaching]]
[[Category:Teaching]]

Revision as of 09:38, 16 May 2008

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Prof. Dr. Chr. Zenger

Prof. Dr. H.-J. Bungartz

This lecture is joint work with the lecture Introduction to Scientific Computing, given at the University of Stuttgart.

Audience: Students in [Computational Science and Engineering] (CSE, compulsory course)

Time and Place: Wednesday 10:15-11:45, lecture hall 2705A

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. Starting from mathematical models (derivation, analysis, and classification; various examples), their numerical treatment is discussed (discretization of differential systems, grid generation). The next chapter deals with the efficient implementation of numerical algorithms, both on monoprocessors and parallel computers (architectural features, parallel programming, load distribution, parallel numerical algorithms). Finally, some remarks on the interpretation of numerical results (visualization) are made. The course is conceived as an introduction to the thriving field of numerical simulation for computer scientists, mathematicians, engineers, or natural scientists without an already strong background in numerical methods.

Lecture Notes and other Course Material:

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