Numerical Programming I - Winter 08: Difference between revisions
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{{Lecture | {{Lecture | ||
| term = Winter 08 | | term = Winter 08 | ||
| lecturer = [[ | | lecturer = [[Univ.-Prof. Dr. Hans-Joachim Bungartz]] | ||
| timeplace = | | timeplace = t.b.a., room 02.07.023, first lecture: t.b.a. | ||
| credits = | | credits = 6 SWS / 8 Credits | ||
| audience = Computational Science and Engineering, | | audience = Computational Science and Engineering, 1st semester | ||
| tutorials = | | tutorials = t.b.a. | ||
| exam = | | exam = t.b.a. | ||
}} | }} | ||
= Contents = | = Contents = | ||
| Line 13: | Line 16: | ||
This course provides an overview of numerical algorithms. Topics are: | This course provides an overview of numerical algorithms. Topics are: | ||
* Floating point arithmetics | |||
* Solving Linear systems | |||
* Interpolation | |||
* Quadrature | |||
* Eigenvalue problems | |||
* Basics of iterative methods | |||
* Basics of numerical methods for ordinary differential equations | |||
The course will start with a short revision of mathematical foundations for numerical algorithms. | The course will start with a short revision of mathematical foundations for numerical algorithms. | ||
= Lecture Notes | = Lecture Notes = | ||
(Material for future lectures refer to the lectures from winter term 2007, and will be updated throughout the semester) | (Material for future lectures refer to the lectures from winter term 2007, and will be updated throughout the semester) | ||
Revision as of 10:53, 21 July 2008
- Term
- Winter 08
- Lecturer
- Univ.-Prof. Dr. Hans-Joachim Bungartz
- Time and Place
- t.b.a., room 02.07.023, first lecture: t.b.a.
- Audience
- Computational Science and Engineering, 1st semester
- Tutorials
- t.b.a.
- Exam
- t.b.a.
- Semesterwochenstunden / ECTS Credits
- 6 SWS / 8 Credits
- TUMonline
- {{{tumonline}}}
Contents
This course provides an overview of numerical algorithms. Topics are:
- Floating point arithmetics
- Solving Linear systems
- Interpolation
- Quadrature
- Eigenvalue problems
- Basics of iterative methods
- Basics of numerical methods for ordinary differential equations
The course will start with a short revision of mathematical foundations for numerical algorithms.
Lecture Notes
(Material for future lectures refer to the lectures from winter term 2007, and will be updated throughout the semester)
- Introduction - Scientific Computing as a Discipline
- Oct
- slides, handout
- Fibonacci's Rabbits, Classification of Models
- Oct
- slides, handout
- Continous Population Models I - Single Species Models
- Nov
- slides
- Maple worksheet: popmodel.mws
- Continous Population Models II & III - Systems of ODE, Analysis of ODE Models
- slides, handout population models
- Maple worksheets: lotkavolt.mws, dirfields.mws
- Numerical Methods for ODE
- Nov
- slides, handout
- Maple worksheet: numerics_ode.mws
- Discrete Models for the Heat Equation
- Dec
- slides, handout
- Maple worksheet: poisson2D.mws
- Heat Equation - Analytical and Numerical Solution
- Dec
- slides, handout
- Maple worksheets: Fourier's method: heat1D_four.mws, Discretisation: heat1D_disc.mws, heat1D_impl.mws
- Additional material: Neumann stability (worksheet with solution), discrete energy (handout)
Exam
A written exam will be offered at the end of the lecture period.
Literature
- A.B. Shiflet and G.W. Shiflet: Introduction to Computational Science, Princeton University Press
- Boyce, DiPrima: Elementary Differential Equations and Boundary Value Problems, Wiley, 1992 (5th edition)
- Golub, Ortega: Scientific Computing: An Introduction with Parallel Computing, Academic Press, 1993
- Tveito, Winther: Introduction to Partial Differential Equations - A Computational Approach, Springer, 1998
- Stoer, Bulirsch: Introduction to Numerical Analysis, Springer, 1996
- Hackbusch: Elliptic Differential Equations - Theory and Numerical Treatment, Springer, 1992