Numerical Programming I - Winter 08: Difference between revisions

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= Tutorial =
= Tutorial =
Tutorial:


* Exercise 1: Mathematical Essentials
* Exercise 1: Mathematical Essentials
Line 67: Line 65:
= Literature =
= Literature =


* Stoer, Bulirsch: Numerische Mathematik
* Stoer, Bulirsch: Numerische Mathematik, Springer-Verlag, part 1 (8. edition 1999) and part 2 (4. edition 2000)
Springer-Verlag, part 1 (8. edition 1999) and part 2 (4. edition 2000)
* Stoer, Bulirsch: Introduction to Numerical Analysis, Springer, 3. edition 2002
* Stoer, Bulirsch: Introduction to Numerical Analysis
* Press, Flannery, Teukolsky, Vetterling: [http://www.nr.com/ Numerical Recipes], Cambridge University Press
Springer, 3. edition 2002
* Press, Flannery, Teukolsky, Vetterling: Numerical Recipes
Cambridge University Press, [http://www.nr.com/]
* Golub, Ortega: Scientific Computing: An Introduction with Parallel
* Golub, Ortega: Scientific Computing: An Introduction with Parallel
Computing
Computing, Academic Press, 1993
Academic Press, 1993






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

Revision as of 11:07, 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 will be updated throughout the semester)


Tutorial

  • Exercise 1: Mathematical Essentials
  • Exercise 2: Linear Algebra
  • Exercise 3: Calculus of one Variable
  • Exercise 4: Calculus of Several Variables
  • Exercise 5: Stochastics and Statistics (Normal Distribution Table)
  • Exercise 6: Floating Point Numbers and Condition
  • Exercise 7: Interpolation I
  • Exercise 8: Interpolation II
  • Exercise 9: Numerical Quadrature
  • Exercise 10: Direct Methods for Solving Linear Systems for Equations
  • Exercise 11: Symmetric Eigenvalue Problem
  • Exercise 12: Iterative Methods: Roots and Optima


Exam

A written exam will be offered at the end of the lecture period.


Literature

  • Stoer, Bulirsch: Numerische Mathematik, Springer-Verlag, part 1 (8. edition 1999) and part 2 (4. edition 2000)
  • Stoer, Bulirsch: Introduction to Numerical Analysis, Springer, 3. edition 2002
  • Press, Flannery, Teukolsky, Vetterling: Numerical Recipes, Cambridge University Press
  • Golub, Ortega: Scientific Computing: An Introduction with Parallel

Computing, Academic Press, 1993