Universität Wien
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250080 VO Numerical Mathematics (2023W)

6.00 ECTS (4.00 SWS), SPL 25 - Mathematik
ON-SITE

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Note: The time of your registration within the registration period has no effect on the allocation of places (no first come, first served).

Details

Language: German

Examination dates

Lecturers

Classes (iCal) - next class is marked with N

  • Tuesday 03.10. 09:45 - 11:15 Hörsaal 13 Oskar-Morgenstern-Platz 1 2.Stock
  • Thursday 05.10. 09:45 - 11:15 Hörsaal 13 Oskar-Morgenstern-Platz 1 2.Stock
  • Tuesday 10.10. 09:45 - 11:15 Hörsaal 13 Oskar-Morgenstern-Platz 1 2.Stock
  • Thursday 12.10. 09:45 - 11:15 Hörsaal 13 Oskar-Morgenstern-Platz 1 2.Stock
  • Tuesday 17.10. 09:45 - 11:15 Hörsaal 13 Oskar-Morgenstern-Platz 1 2.Stock
  • Thursday 19.10. 09:45 - 11:15 Hörsaal 13 Oskar-Morgenstern-Platz 1 2.Stock
  • Tuesday 24.10. 09:45 - 11:15 Hörsaal 13 Oskar-Morgenstern-Platz 1 2.Stock
  • Tuesday 31.10. 09:45 - 11:15 Hörsaal 13 Oskar-Morgenstern-Platz 1 2.Stock
  • Tuesday 07.11. 09:45 - 11:15 Hörsaal 13 Oskar-Morgenstern-Platz 1 2.Stock
  • Thursday 09.11. 09:45 - 11:15 Hörsaal 13 Oskar-Morgenstern-Platz 1 2.Stock
  • Tuesday 14.11. 09:45 - 11:15 Hörsaal 13 Oskar-Morgenstern-Platz 1 2.Stock
  • Thursday 16.11. 09:45 - 11:15 Hörsaal 13 Oskar-Morgenstern-Platz 1 2.Stock
  • Tuesday 21.11. 09:45 - 11:15 Hörsaal 13 Oskar-Morgenstern-Platz 1 2.Stock
  • Thursday 23.11. 09:45 - 11:15 Hörsaal 13 Oskar-Morgenstern-Platz 1 2.Stock
  • Tuesday 28.11. 09:45 - 11:15 Hörsaal 13 Oskar-Morgenstern-Platz 1 2.Stock
  • Thursday 30.11. 09:45 - 11:15 Hörsaal 13 Oskar-Morgenstern-Platz 1 2.Stock
  • Tuesday 05.12. 09:45 - 11:15 Hörsaal 13 Oskar-Morgenstern-Platz 1 2.Stock
  • Thursday 07.12. 09:45 - 11:15 Hörsaal 13 Oskar-Morgenstern-Platz 1 2.Stock
  • Tuesday 12.12. 09:45 - 11:15 Hörsaal 13 Oskar-Morgenstern-Platz 1 2.Stock
  • Thursday 14.12. 09:45 - 11:15 Hörsaal 13 Oskar-Morgenstern-Platz 1 2.Stock
  • Tuesday 09.01. 09:45 - 11:15 Hörsaal 13 Oskar-Morgenstern-Platz 1 2.Stock
  • Thursday 11.01. 09:45 - 11:15 Hörsaal 13 Oskar-Morgenstern-Platz 1 2.Stock
  • Tuesday 16.01. 09:45 - 11:15 Hörsaal 13 Oskar-Morgenstern-Platz 1 2.Stock
  • Thursday 18.01. 09:45 - 11:15 Hörsaal 13 Oskar-Morgenstern-Platz 1 2.Stock
  • Tuesday 23.01. 09:45 - 11:15 Hörsaal 13 Oskar-Morgenstern-Platz 1 2.Stock
  • Thursday 25.01. 09:45 - 11:15 Hörsaal 13 Oskar-Morgenstern-Platz 1 2.Stock
  • Tuesday 30.01. 09:45 - 10:45 Hörsaal 13 Oskar-Morgenstern-Platz 1 2.Stock

Information

Aims, contents and method of the course

We will cover the foundations of Numerical Analysis, in particular: The condition of a problem, stability and convergence of algorithms. We will treat linear and non-linear (systems of) equations, optimization problems, interpolation, eigenvalue problems and differentiation and interpolation.

The discussed algorithms will also be implemented and tested (in python, possibly demonstrations in Matlab).

Assessment and permitted materials

Written or oral exams.

Minimum requirements and assessment criteria

For a positive grade it is necessary to obtain more that 50% of the possible points.

Examination topics

All topics of the lectures.

Reading list

No need to buy the book!
E. Suli and D. Mayers: An Introduction to Numerical Analysis. Cambridge University Press, 2003

Further:
R. Scott: Numerical Analysis, Princeton University Press, 2011
P. Deuflhard: A. Hohmann: Numeral Analysis in Modern Scientific Computing. An Introduction, Springer, 200

Association in the course directory

NUM

Last modified: Mo 29.07.2024 11:26