Universität Wien
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269007 VO Numerical Methods II (2016W)

4.00 ECTS (3.00 SWS), SPL 26 - Physik
Moodle

Details

Language: English

Examination dates

Lecturers

Classes (iCal) - next class is marked with N

Vorbesprechung: Mi 05.10.16, 10:00 Uhr, Seminarraum 7 Oskar-Morgenstern-Platz 1 2.Stock.

  • Thursday 24.11. 11:30 - 13:00 Seminarraum 7 Oskar-Morgenstern-Platz 1 2.Stock
  • Friday 25.11. 13:45 - 15:15 Seminarraum 7 Oskar-Morgenstern-Platz 1 2.Stock
  • Wednesday 30.11. 09:45 - 11:15 Seminarraum 7 Oskar-Morgenstern-Platz 1 2.Stock
  • Thursday 01.12. 11:30 - 13:00 Seminarraum 7 Oskar-Morgenstern-Platz 1 2.Stock
  • Friday 02.12. 13:45 - 15:15 Seminarraum 7 Oskar-Morgenstern-Platz 1 2.Stock
  • Wednesday 07.12. 09:45 - 11:15 Seminarraum 7 Oskar-Morgenstern-Platz 1 2.Stock
  • Friday 09.12. 13:45 - 15:15 Seminarraum 7 Oskar-Morgenstern-Platz 1 2.Stock
  • Wednesday 14.12. 09:45 - 11:15 Seminarraum 7 Oskar-Morgenstern-Platz 1 2.Stock
  • Thursday 15.12. 11:30 - 13:00 Seminarraum 7 Oskar-Morgenstern-Platz 1 2.Stock
  • Friday 16.12. 13:45 - 15:15 Seminarraum 7 Oskar-Morgenstern-Platz 1 2.Stock
  • Wednesday 11.01. 09:45 - 11:15 Seminarraum 7 Oskar-Morgenstern-Platz 1 2.Stock
  • Thursday 12.01. 11:30 - 13:00 Seminarraum 7 Oskar-Morgenstern-Platz 1 2.Stock
  • Friday 13.01. 13:45 - 15:15 Seminarraum 7 Oskar-Morgenstern-Platz 1 2.Stock
  • Wednesday 18.01. 09:45 - 11:15 Seminarraum 7 Oskar-Morgenstern-Platz 1 2.Stock
  • Thursday 19.01. 11:30 - 13:00 Seminarraum 7 Oskar-Morgenstern-Platz 1 2.Stock
  • Friday 20.01. 13:45 - 15:15 Seminarraum 7 Oskar-Morgenstern-Platz 1 2.Stock
  • Wednesday 25.01. 09:45 - 11:15 Seminarraum 7 Oskar-Morgenstern-Platz 1 2.Stock
  • Thursday 26.01. 11:30 - 13:00 Seminarraum 7 Oskar-Morgenstern-Platz 1 2.Stock

Information

Aims, contents and method of the course

Numerical methods and algorithms which are important for numerical modeling in natural and computational sciences. The lecture aims at teaching basic understanding of the derivation, functionality and field of application of the discussed methods and algorithms.

It is the continuation of the first part CO-MAT1 (Dr. C. Kirisits) and is basically covering the topics from the curriculum: Iterative methods for large (sparse) linear systems, numerics for eigenvalue problems and nonlinear systems of equations, stochastic processes and Monte Carlo methods.

The lecture is also supplemented by an exercise course (LV-Nr. 269008) where content from the lecture is tested and deepened practically (programming examples in Matlab) and theoretically.

Assessment and permitted materials

Oral exam at the end of the course.

Minimum requirements and assessment criteria

Minimum requirement: positive assessment of oral exam.

Examination topics

Reading list

Association in the course directory

CO-MAT2

Last modified: Sa 08.07.2023 00:21