269007 VO Numerical Methods II (2017W)
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Details
Language: English
Examination dates
Lecturers
Classes (iCal) - next class is marked with N
- Thursday 23.11. 08:00 - 09:30 Seminarraum 7 Oskar-Morgenstern-Platz 1 2.Stock
- Tuesday 28.11. 13:15 - 14:30 Hörsaal 2 Oskar-Morgenstern-Platz 1 Erdgeschoß
- Wednesday 29.11. 14:30 - 16:15 Seminarraum 11 Oskar-Morgenstern-Platz 1 2.Stock
- Thursday 30.11. 08:00 - 09:30 Seminarraum 7 Oskar-Morgenstern-Platz 1 2.Stock
- Tuesday 05.12. 13:15 - 14:30 Hörsaal 2 Oskar-Morgenstern-Platz 1 Erdgeschoß
- Wednesday 06.12. 14:30 - 16:15 Seminarraum 11 Oskar-Morgenstern-Platz 1 2.Stock
- Thursday 07.12. 08:00 - 09:30 Seminarraum 7 Oskar-Morgenstern-Platz 1 2.Stock
- Tuesday 12.12. 13:15 - 14:30 Hörsaal 2 Oskar-Morgenstern-Platz 1 Erdgeschoß
- Wednesday 13.12. 14:30 - 16:15 Seminarraum 11 Oskar-Morgenstern-Platz 1 2.Stock
- Thursday 14.12. 08:00 - 09:30 Seminarraum 7 Oskar-Morgenstern-Platz 1 2.Stock
- Tuesday 09.01. 13:15 - 14:30 Hörsaal 2 Oskar-Morgenstern-Platz 1 Erdgeschoß
- Wednesday 10.01. 14:30 - 16:15 Seminarraum 11 Oskar-Morgenstern-Platz 1 2.Stock
- Thursday 11.01. 08:00 - 09:30 Seminarraum 7 Oskar-Morgenstern-Platz 1 2.Stock
- Tuesday 16.01. 13:15 - 14:30 Hörsaal 2 Oskar-Morgenstern-Platz 1 Erdgeschoß
- Wednesday 17.01. 14:30 - 16:15 Seminarraum 11 Oskar-Morgenstern-Platz 1 2.Stock
- Thursday 18.01. 08:00 - 09:30 Seminarraum 7 Oskar-Morgenstern-Platz 1 2.Stock
- Tuesday 23.01. 13:15 - 14:30 Hörsaal 2 Oskar-Morgenstern-Platz 1 Erdgeschoß
- Wednesday 24.01. 14:30 - 16:15 Seminarraum 11 Oskar-Morgenstern-Platz 1 2.Stock
- Thursday 25.01. 08:00 - 09:30 Seminarraum 7 Oskar-Morgenstern-Platz 1 2.Stock
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 (Dr. C. Kirisits) 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 at the end of the course.
Minimum requirements and assessment criteria
Minimum requirement: positive assessment of oral exam.
Examination topics
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
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: Sa 08.07.2023 00:21