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269007 VO Numerical Methods II (2021W)

4.00 ECTS (3.00 SWS), SPL 26 - Physik
ON-SITE

Registration/Deregistration

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: English

Examination dates

Lecturers

Classes (iCal) - next class is marked with N

Lectures will be digital via Moodle and zoom live sessions (19.11.2021)

Monday 22.11. 09:45 - 11:15 Seminarraum 9, Kolingasse 14-16, OG01
Wednesday 24.11. 09:45 - 11:15 Seminarraum 9, Kolingasse 14-16, OG01
Thursday 25.11. 11:30 - 13:30 Seminarraum 9, Kolingasse 14-16, OG01
Monday 29.11. 09:45 - 11:15 Seminarraum 9, Kolingasse 14-16, OG01
Wednesday 01.12. 09:45 - 11:15 Seminarraum 9, Kolingasse 14-16, OG01
Thursday 02.12. 11:30 - 13:30 Seminarraum 9, Kolingasse 14-16, OG01
Monday 06.12. 09:45 - 11:15 Seminarraum 9, Kolingasse 14-16, OG01
Thursday 09.12. 11:30 - 13:30 Seminarraum 9, Kolingasse 14-16, OG01
Monday 13.12. 09:45 - 11:15 Seminarraum 9, Kolingasse 14-16, OG01
Wednesday 15.12. 09:45 - 11:15 Seminarraum 9, Kolingasse 14-16, OG01
Thursday 16.12. 11:30 - 13:30 Seminarraum 9, Kolingasse 14-16, OG01
Monday 10.01. 09:45 - 11:15 Seminarraum 9, Kolingasse 14-16, OG01
Wednesday 12.01. 09:45 - 11:15 Seminarraum 9, Kolingasse 14-16, OG01
Thursday 13.01. 11:30 - 13:30 Seminarraum 9, Kolingasse 14-16, OG01
Monday 17.01. 09:45 - 11:15 Seminarraum 9, Kolingasse 14-16, OG01
Wednesday 19.01. 09:45 - 11:15 Seminarraum 9, Kolingasse 14-16, OG01
Thursday 20.01. 11:30 - 13:30 Seminarraum 9, Kolingasse 14-16, OG01

Information

Aims, contents and method of the course

Large scale 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 (269005) and is basically covering the topics from the curriculum: Iterative methods for large (sparse) linear systems, numerics for eigenvalue problems, nonlinear systems of equations and numerics for ordinary differential equations as well as stochastic processes and Monte Carlo methods (if enough time available).

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/Octave/Python) and theoretically.

Assessment and permitted materials

Oral exam.

Minimum requirements and assessment criteria

Minimum requirement: positive assessment of oral exam.

Examination topics

Topics discussed in the lecture.

Reading list

Lecture notes.

Optional:
Y.Saad "Iterative methods of sparse linear systems" SIAM 2003.
Y.Saad "Numerical methods for large eigenvalue problems" SIAM 2011.
N.Trefethen et al "Numerical Linear Algebra" SIAM 1997.
E.Hairer et al "Solving ordinary differential equations 1/2" Springer 1987.

Association in the course directory

CO-MAT2

Last modified: Th 20.01.2022 13:09